Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2021 Jul 9;16(7):e0254516. doi: 10.1371/journal.pone.0254516

Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): A four consecutive sentinel population-based survey study

Mioljub Ristić 1,2,*, Biljana Milosavljević 2, Slobodanka Vapa 2, Miloš Marković 3, Vladimir Petrović 1,2
Editor: Martin Chtolongo Simuunza4
PMCID: PMC8270141  PMID: 34242377

Abstract

Background

Monitoring changes of seroprevalence over time is important at the beginning and during of COVID-19 outbreak to anticipate its dynamics and plan an adequate public health response.

Methods

We conducted a repeated cross-sectional investigation among asymptomatic outpatient subjects and covered 0.1% of total population of Northern Serbia (Autonomous Province of Vojvodina). Each participant was tested for anti-SARS-CoV-2 antibodies using an immunochromatographic qualitative test (point-of-care rapid test). In the last round of survey IgG antibodies targeting the S1 subunit of the spike protein and the nucleocapsid protein of SARS-CoV-2 virus were assessed.

Results

During the four rounds of survey (between the end of April and the end of September), anti-SARS-CoV-2 seropositivities based on immunochromatographic test results were 2.60% (95% CI 1.80–3.63), 3.93% (95% CI 2.85–5.28), 6.11% (95% CI 4.72–7.77) and 14.60% (95% 12.51–16.89), respectively. After adjusting with results obtained from the Line immunoassay test, the estimated overall seroprevalence increased to 16.67% (95% CI 14.45–19.08) corresponding to 322,033 infections in total by the end of September 2020 in Vojvodina’s population. Throughout the course of the study, for every RT-PCR confirmed case of COVID-19, there were 39–87 additional infections in Vojvodina. No significant difference (p>0.05) in SARS-CoV-2 seropositivity regarding gender and between age subgroups was observed over the course of the survey.

Conclusions

The population prevalence of SARS-CoV-2 antibodies implies much more widespread infection in Vojvodina than indicated by the number of confirmed cases. However, our results suggest that the population of Vojvodina has not reached a desirable level of protection from SARS-CoV-2 virus by the end of September 2020.

Introduction

Public health surveillance of coronavirus disease 2019 (COVID-19) in humans caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) both on global and local levels is of great importance for mitigation and cessation of the ongoing pandemic. So far, initial surveillance of SARS-CoV-2 infections across globe has focused primarily on patients with severe disease or case-based surveillance, while mildly affected, asymptomatic individuals and those who have not been tested due to limited availability of tests generally have not been screened [13].

According to current opinion [1, 4], there is no reason to wait for the end of the epidemics before doing seroprevalence studies across the world. Moreover, improved serological survey of specific antibodies against SARS-CoV-2 virus has been proposed with the aim to estimate the cumulative prevalence of asymptomatic infection in the community, and to better clarify the dynamics of the epidemics. Although it is still not clear whether antibodies against SARS-CoV-2 correlate with protective immunity, survey study of SARS-CoV-2 antibodies among residents in certain territory can offer the possibility to calculate approximately the number of those who could potentially exhibit immunologic protection against subsequent infection [1, 58]. The available serological tests for detection of antibodies (IgM or IgG) against SARS-CoV-2 are helpful to provide a more precise estimate of the cumulative number of subjects who have been in contact with SARS-CoV-2 virus compared to those detected by molecular diagnostic tests [6].

As recommended by World Health Organization (WHO), implementation of the unique protocol with the purpose to investigate the extent of infection is desirable in every country in which SARS-CoV-2 virus infection has been reported [1]. In addition, monitoring changes of seroprevalence over time is important at the beginning and during the COVID-19 outbreak to anticipate its dynamics and plan the adequate public health response [1, 2].

In the Northern Serbia (Autonomous Province of Vojvodina with total population of 1.9 million people), the first (imported) laboratory-confirmed case of COVID-19 was registered on March 6, 2020. At the same time, this was the first confirmed case of SAR-CoV-2 infection in Serbia Several days later, on March 15, 2020, a lockdown was implemented in the whole territory of Serbia, which included closing of the borders, a strict movement restrictions (social distancing for all citizens), case isolation with home quarantine, as well as closure of schools, kindergartens and faculties. After May 6, 2020, there was a relaxation of epidemiological measures (only case isolation and household quarantine remained) with prevention of the spread of the SARS-CoV-2 infection based only on recommendations leading to the second epidemic wave that lasted between mid-June and until mid-September. Vaccination against COVID-19 in Serbia started on December 24, 2020, almost three months after the end of this study [9]. Throughout the COVID-19 outbreak in Vojvodina, a RT-PCR test has been permanently available for laboratory confirmation of infection. An immunochromatographic qualitative assay for detection of both IgG and IgM anti-SARS-CoV-2 antibodies was also used in parallel with RT-PCR [9, 10]. As a result of implementation of different testing criteria in our country during the course of epidemic, it is likely that many asymptomatic and mild SARS-CoV-2 infections were underreported, similar to situations observed in other regions [17]. On the other hand, appropriate insight in the real extent of SARS-CoV-2 infection is critical for an effective public health response to COVID-19 in the upcoming epidemic waves [17].

Even though the epidemic of COVID-19 in Serbia started in the beginning of March [9], no seroprevalence data are available yet. The aim of this study was to assess the dynamics of SARS-CoV-2 antibodies seroprevalence over time through repeated cross-sectional surveys and to estimate the extent of infection among individuals without previous history of COVID-19 diagnosis in Vojvodina. In addition, this study aimed to examine the usefulness of sentinel surveillance of acute respiratory infections based on comparison of estimated cases detected through this surveillance system and those noticed through serosurvey.

Materials and methods

Study design and participants

This is a prospective study performed according to WHO protocol as repeated cross-sectional investigation in the same geographic area [1]. Data obtained in this manner were used to estimate the prevalence of SARS-CoV-2 antibodies in general population (non-hospitalized persons) of Vojvodina. To this end, the Institute of Public Health of Vojvodina, Novi Sad in collaboration with six local departments of public health of Vojvodina coordinated a training of health professionals in those local departments of public health as well as at 44 Government Primary Health Care Centres that are included in Vojvodina Health Care System. The sample size was predefined and 135 sentinel physicians were involved at primary (outpatient) medical care sites, altogether covering 0.1% out of the total population (1,232,867) from 44 settlement areas in Vojvodina. The same experienced physicians had been previously included in the active surveillance of influenza-like illness (ILI) and acute respiratory infection (ARI) in Vojvodina, as a part of influenza surveillance system that was described in detail in previous studies [11, 12]. Briefly, the surveillance system used the network of sentinel physicians (general practitioners and paediatricians) who recruited the representative sample of participants on a voluntary basis after controlling for age and gender. A stratified random sample from each of 44 settlement areas was involved, with enrolment for subgroups based on age (0–4, 5–14, 15–29, 30–65 and ≥65 years), and gender distribution of Vojvodina.

Only respondents without any COVID-19-related symptoms within 30 days and without known direct contact with laboratory-confirmed COVID-19 case in the past 14 days were invited to participate in the study by their sentinel physicians. In addition, only two healthy participants per family were included. Among participants, there were no health care workers. During the COVID-19 lockdown period for elderly persons in Vojvodina, health care personnel collected samples from this population at their homes. After relaxation of epidemic control measures, they were recruited at primary care level settings, as others. All participants were provided with a surgical mask before the entrance to the sentinel site. During the visit, sentinel physicians explained the aims and purpose of the study once again to potential participants to ensure their informed consent. Upon sample collection, at least two previously trained medical staff practitioners analysed each serological test, and the participants or their parents or guardians were promptly informed about the test results thereafter.

Following the recommendation of WHO that cross-sectional studies can be completed after the peak of transmission of the epidemic wave, but also at any time during the epidemic [1], our study was performed in four successive follow-up rounds (at the end of April, May, June and September). Taking into account known facts that a vast majority of tested patients with COVID-19 (in some studies 100%) developed IgG antibodies against the SARS-CoV-2 within three weeks after symptom onset with median day of seroconversion for both IgG and IgM being 13 days after the onset of symptoms [13], we have estimated the seroprevalence in accordance with the epidemiological situation in Vojvodina, i.e. during initial epidemic period (I round), after the first wave (II round), and before and after the second wave (III and IV rounds) of COVID-19 epidemic.

Each round was scheduled to be completed within one week. At the beginning of the study, a total of 1,267 participants from 44 settlements in Vojvodina have been included, representing at least 0.1% of the total population of the province. During the next rounds of survey, we excluded participants who had IgM or/and IgG antibodies against SARS-CoV-2 previously confirmed. The efforts were undertaken to replace omitted subjects with other respondents matched by age, gender and settlement area in Vojvodina, but despite all the efforts, during the last round of survey, only 1,041 subjects were involved.

Laboratory testing

Blood samples were obtained from each participant aseptically using either a finger prick (for children) or venipuncture technique (for adults) in local Primary Health Care sentinel sites. The presence of anti-SARS-CoV-2 IgM or/and IgG antibodies were assessed using commercially available immunochromatographic qualitative assay (point-of-care rapid test). In the fourth round of survey, anti-SARS-CoV-2 IgG antibodies were further confirmed by Line immunoassay targeting various proteins of SARS-CoV-2.

Immunochromatographic qualitative test. A rapid lateral one-step flow chromatographic immunoassay using colloidal gold-labeled SARS-CoV-2 antigens (Innovita 2019-nCoV Ab Test, Innovita Biological Technology Co., Ltd., China) was used in this study following manufacturer’s recommendations. This point-of-care rapid test allows rapid (in 10 minutes) qualitative detection and differentiation of IgM and IgG of antibodies against SARS-CoV-2 virus. The test line was precoated with anti-human IgM + IgG antibodies. No lines in the result window are visible prior to applying any specimen. In the case that sample is positive for IgM or IgG antibodies against SARS-CoV-2, the "colloidal gold-conjugated SARS-CoV-2 antigen–anti-SARS-CoV-2 antibody" complex is bound by capture antibodies coated on the test line and a burgundy-coloured band is developed. If SARS-CoV-2 antibodies are not present in the specimen, no colour will appear in the test line [14]. This test was approved by the Chinese Food and Drug Administration and by US FDA. The reported sensitivity and specificity of this immunoassay test are 87.3% and 100%, respectively [15].

Line immunoassay quantitative test. Detection and avidity determination of SARS-CoV-2 IgG antibodies were further assessed using a commercially available recomLine SARS-CoV-2 IgG [Aviditat] (Mikrogen Gmbh; Germany) according to manufacturer’s recommendations. The test allows identification of specific antibodies against the individual antigens for SARS-CoV-2, namely nucleocapsid protein (NP), receptor binding domain of the spike protein (RBD) and S1 subunit of the spike protein (S1). Antibodies against NP antigens of seasonal human coronaviruses (HCoV: NL63, OC43, 229E, and HKU1) are also detected.

The test was performed using a DYNABLOT Plus test (Dynex, Czech Republic) by incubation of two test strips with diluted serum sample (1:100 dilution). During the first incubation, antibodies in the sample bind to their specific antigens that are fixed on the test strips. Then one of the two test strips is washed with the avidity solution. During this step, the low avidity antibodies diffuse away, while high avidity antibodies remain bound to their specific antibodies. After washing, anti-human antibodies conjugated with horseradish peroxidase are added. The specific antibodies bound to their antigens are visualised after repeated round of washing with the addition of a substrate that makes the antigen-antibody complexes visible as bands that appear on the test strips. The relative position of the stained bands indicates the specificity of the reacting antibodies.

The test strips were analysed using the recomScan test strip analysis software version 3.4.162 and the intensities of the corresponding bands on the two test strips (IgG strip and avidity strip) incubated with the same patient sample were compared and the changes noted. By subsequently comparing the two corresponding test strips, the avidity of the antibodies was determined and the particular avidity index was calculated. Reduction in the intensity of the SARS-CoV-2 bands (corresponding to NP, RBD and S1 antigens) or the HCoV bands (NP antigen) by more than 60% (avidity index ≤ 0.4) was considered as low avidity IgG antibodies, while reduction between 40% and 60% was considered intermediate (avidity index between 0.4 and 0.6). The reduction of the band intensity of less than 40% (avidity index ≥ 0.6) was considered as high avidity anti-SARS-CoV-2 antibodies [16].

Data analysis

Similar to previously used methodology [11, 12], the population under sentinel surveillance at primary care level in Vojvodina was used as a denominator for calculations of the weekly incidence of ILI and ARI per 100,000 inhabitants, while a numerator was the number of clinical cases of ILI and ARI in the total population from March 6 till the end of October, 2020. The expected number of patients with ARI and COVID-19 among inhabitants of Vojvodina was extrapolated from the results obtained during the sentinel surveillance of ARI and anti-SARS-CoV-2 seropositivity rates throughout this survey. Cumulative number of ARI cases and estimated number of subjects with previous contact with SARS-CoV-2 virus obtained by serosurvey were compared (as ratio) with the cumulative number of officially registered laboratory-confirmed COVID-19 cases.

The proportions of positive tests (either IgM or IgG) given by point-of-care test in the analysis sample were calculated. In the last round of the serosurvey, these results were further adjusted according to the results provided by the more specific line immunoassay quantitative test, designed to detect high-avidity antibodies against various SARS-CoV-2 antigens and distinguish them from possibly cross-reactive antibodies to seasonal human coronaviruses. Tests of proportion were performed to compare values of seroprevalence by age group and gender of participants. As reference age and gender groups, we used the largest sample size. The stratum seroprevalence and 95% confidence intervals (CIs) of SARS-CoV-2 seropositivity were calculated using the SPSS software tool (version 22.0) MedCalc for Windows, version 12.3.0 (MedCalc Software, Mariakerke, Belgium). Statistical significance was set at p<0.05.

Ethical considerations

This investigation is considered a public health surveillance according to recommendation of WHO [1], and no clearance by Ethics Committee for this emergency response was required in Serbia. Before enrolment, oral informed consent from each participant or their parents or legal guardians (for participants under 15 years of age) was obtained. Personal and confidential information were removed, except for demographic information, including date of sampling, settlement area, age and gender of participants. No authors of this study treated the patients included in the analysis, and the data were anonymized before the authors accessed it.

Results

The COVID-19 epidemic curve with the number of laboratory-confirmed cases plotted by date of patient onset of symptoms from March 6 (first reported case of COVID-19 in Serbia) to October 31, 2020 is shown in Fig 1. During this period, a total of 9,734 laboratory-confirmed COVID-19 cases were recorded in Vojvodina. The peak onset of cases was recorded on July 23, 2020, with a total of 256 cases confirmed that day.

Fig 1. Daily RT-PCR-confirmed COVID-19 cases reported and four time points of seroprevalence survey between March and October 2020 in Vojvodina, Serbia.

Fig 1

There were three waves of COVID-19 disease in Serbia. The first wave lasted between March and the middle of May, while the second one lasted between mid-June and mid-September. The third wave started in the second half of October and is still ongoing. So far, the majority of confirmed cases in Vojvodina (7,204 of 9734 or 74.0%) were registered during the second wave. As indicated in Fig 1, four rounds of survey of SARS-CoV-2 antibodies were performed with the first one being done in April during the first wave, followed by the rounds at the end of the first wave, just before the second wave and after the second wave was over.

The levels of seroprevalence of SARS-CoV-2 antibodies in the population of Vojvodina are shown in Table 1. Over the four rounds of the serosurvey, between 1,014 (round III) and 1,267 (round I) participants were included. During the study period, between the end of April and the end of September, the levels of anti-SARS-CoV-2 seropositivity were 2.60% (95% CI 1.80–3.63), 3.93% (95% CI 2.85–5.28), 6.11% (95% CI 4.72–7.77) and 14.60% (95% CI 12.51–16.89), respectively. After adjusting for the results obtained with the Line immunoassay test (spike protein analysis), the estimated overall seroprevalence of Vojvodina’s population at the end of September increased to the level of 16.67% (95% CI 14.45–19.08). Thus, a marked surge in seropositivity levels during the second wave was observed among the citizens of Vojvodina, since it was only 6.11% after the first wave of COVID-19 epidemic, but it has reached 16.67% once the second wave was over. Although the prevalence of SARS-CoV-2 seropositivity was higher in females compared to males in all time points of the survey, those differences did not reach statistical significance (p˃0.05). Among the youngest age group (0–4 years), the SARS-CoV-2 antibodies were not detected at all before the fourth circle of the survey. Interestingly, after adjustment of the results based on spike protein analysis, children aged 0–4 and 5–14 years of age had lower SARS-CoV-2 seropositivity (7.92%; 95% CI 1.20–24.16 and 12.67%; 95% CI 6.18–22.21, respectively) compared with those obtained by an immunochromatographic qualitative test (10.34%; 95% CI 2.18–27.35 and 12.99%; 95% CI 6.41–22.59, respectively). Based on immunochromatographic test results, the probability of being seropositive was significantly (p = 0.0212) lower in participants aged ≥65 years in comparison with those aged 30–64 years. However, the analysis of the age groups using the spike protein test failed to confirm this finding (p = 0.2043). Finally, there were no significant differences (p˃0.05) in SARS-CoV-2 seropositivity between other age subgroups during the course of the survey.

Table 1. Overview of four consecutive seroprevalence surveys by age and gender between April and September, 2020 in Vojvodina, Serbia.

Characteristics Round I (End of April) a Round II (End of May)a Round III (End of June) a Round IV (End of September) a Adjustment results of seroprevalence (End of September) b
Tested Seroprevalence
% (95% CI)
Tested Seroprevalence
% (95% CI)
Tested Seroprevalence
% (95% CI)
Tested Seroprevalence
% (95% CI)
Seroprevalence
% (95% CI)
Age group (years) 0–4 52 0 34 0 32 0 29 10.34 (2.18–27.35) 7.92 (1.20–24.16)
5–14 118 1.69 (0.20–5.98) 71 2.82 (0.34–9.81) 67 2.99 (0.37–10.38) 77 12.99 (6.41–22.59) 12.67 (6.18–22.21)
15–29 226 1.77 (0.48–4.47) 177 3.39 (1.25–7.23) 173 6.36 (3.22–11.09) 173 16.76 (11.52–23.18) 21.24 (15.40–28.09)
30–64 c 679 3.39 (2.16–5.04) 601 4.66 (3.12–6.66) 563 6.93 (4.97–9.35) 570 16.14 (13.21–19.42) 17.34 (14.32–20.70)
≥65 192 3.13 (1.14–6.64) 185 3.24 (1.20–6.92) 179 5.59 (2.71–10.04) 192 9.38 (5.66–14.41) e 13.42 (8.94–19.07)
Gender Male 567 1.90 (0.94–3.39) 480 2.48 (1.28–4.30) 487 4.58 (2.90–6.83) 458 13.48 (10.49–16.95) 15.15 (11.99–18.77)
Female d 700 3.14 (1.98–4.72) 588 4.09 (2.64–6.02) 527 6.08 (4.20–8.47) 583 15.49 (12.65–18.69) 17.26 (14.28–20.58)
Overall 1267 2.60 (1.80–3.63) 1068 3.93 (2.85–5.28) 1014 6.11 (4.72–7.77) 1041 14.60 (12.51–16.89) 16.67 (14.45–19.08)

a Immunochromatographic (point-of-care) qualitative test;

b Line immunoassay test;

c Reference age group;

d Reference gender group;

e Values that differ significantly compared with the 30–64 age group.

In order to estimate the probable number of COVID-19 cases in Vojvodina, we analysed the results of the three types of surveillance systems (ILI, ARI and COVID-19 cases per 100,000 inhabitants) during the study period (Fig 2). According to these results, the trends of incidence for ILI and COVID-19 were apparently similar. As expected, compared to the incidence of COVID-19 in Vojvodina, the incidence rates of ARI were several times higher. These differences were particularly noticeable at the beginning as well as at the end of the observed period. Regarding the season of the year when ARIs are not common (between June and August), the incidence of ARI was six to 73 times higher than the incidence rates of COVID-19 per week in Vojvodina. Finally, the linear trend of difference between cases of ARI and COVID-19 cases registered in the surveillance system increased (y = 167.08x+6411.8, R2 = 0.0805) over time (Fig 2).

Fig 2. Overview of the three different surveillance systems among patients with symptoms related to COVID-19 between March and October 2020 in Vojvodina, Serbia.

Fig 2

ARI: acute respiratory infection; ILI: influenza-like illness.

We further compared the estimated cumulative numbers of COVID-19 and ARI cases, based on officially registered incidence rates, with the extrapolated number of SARS-CoV-2 infections, as deduced from the results of seroprevalence survey. Cumulative and estimated COVID-19 and ARI cases during the study period are presented in Table 2. Overall, the differences between infections (based on anti-SARS-CoV-2 positivity) and COVID-19 cases (based on RT-PCR results) were higher during the second and third rounds (86.8 and 85.5, respectively) than during the first and the last survey cycles (75.9 and 35.5, respectively). As for the age groups, the highest differences of infection to case ratio throughout four seroprevalence rounds were recorded in the 5–14 age group (227.9, 221.8, 176.3 and 318.4, respectively). Concerning the ARI and case ratio, it was the highest in the children aged 0–4 years (1860.0, 1176.7 and 1039.1, respectively for the first three time points) with the exception for the last round of survey when it was the highest in 5–14 years age group (654.4). Also, the overall ARI to case ratios compared to infection to case ratios were higher in the first two rounds (119.1 vs 75.9, and 106.2 vs 86.8, respectively), but not in the last two rounds of the survey (79.2 vs. 85.5 and 25.5 vs. 34.5, respectively).

Table 2. Cumulative and estimated number of COVID-19 and acute respiratory infection cases and their ratio between April and September, 2020 using Point-of-care test and Line immunoassay test in Vojvodina, Serbia.

Point of sero-prevalence survey Variable Age group (years) Overall (n)
0–4 (n) 5–14 (n) 15–29 (n) 30–64 (n)` ≥65 (n)
End of April A. Cumulative number of COVID-19 a 5 14 82 428 133 662
B. Cumulative number of ARI 9,300 20,492 16,864 28,239 3,933 78,829
C. Estimated number of subjects with previous contact with SARS-CoV-2 0 3,190 6,431 33,035 9,908 50,227
Ratio B vs. A 1860.0 1463.7 205.7 66.0 29.6 119.1
Ratio C vs. A NA 227.9 78.4 77.2 74.5 75.9
End of May A. Cumulative number of COVID-19 a 10 24 120 551 170 875
B. Cumulative number of ARI 11,767 23,298 19,874 32,910 5,077 92,926
C. Estimated number of subjects with previous contact with SARS-CoV-2 0 5,323 12,317 45,411 10,256 75,920
Ratio B vs. A 1176.7 970.8 165.6 59.7 29.9 106.2
Ratio C vs. A NA 221.8 102.6 82.4 60.3 86.8
End of June A. Cumulative number of COVID-19 a 14 32 246 872 217 1,381
B. Cumulative number of ARI 14,547 26,487 23,453 38,601 6227 109,315
C. Estimated number of subjects with previous contact with SARS-CoV-2 0 5,643 23,107 67,531 17,694 118,033
Ratio B vs. A 1039.1 827.7 95.3 44.3 28.7 79.2
Ratio C vs. A NA 176.3 93.9 77.4 81.5 85.5
End of September A. Cumulative number of COVID-19 a 48 77 1,198 5,285 1,574 8,182
B. Cumulative number of ARI 30,828 50,390 43,342 72,124 12,015 208,699
C. Estimated number of subjects with previous contact with SARS-CoV-2 9,174 24,518 60,893 157,281 29,691 282,044
D. Estimated number of subjects with previous contact with SARS-CoV-2 using line immunoassay test 7,027 23,914 77,170 168,975 42,479 322,033
Ratio B vs. A 642.3 654.4 36.2 13.6 7.6 25.5
Ratio C vs. A 191.1 318.4 50.8 29.8 18.9 34.5
Ratio D vs. A 146.4 310.6 64.4 32.0 27.0 39.4
Ratio D vs. C 0.8 1.0 1.3 1.1 1.4 1.1

aConfirmed by the RT-qPCR;

NA-not applicable; ARI- acute respiratory infection.

Considering the values of estimated number of subjects with SARS-CoV-2 antibodies during the last round of investigation adjusted with spike protein analysis, the differences in the estimated number declined in 0–4 and 5–14 age groups, but increased in other age groups compared to the values based on the immunochromatographic test results alone.

Finally, the expected number of SARS-CoV-2 seropositive inhabitants of Vojvodina at the end of the study extrapolated from obtained SARS-CoV-2 seropositivity rates and estimated population size is 322,033, corresponding to an overall seroprevalence of 17%. The estimated total, minimum and maximum number of SARS-CoV-2 seropositive inhabitants of Vojvodina by age groups over study period are presented in S1 Table.

Discussion

To the best of our knowledge, this is the first SARS-CoV-2 seroprevalence study in our country among asymptomatic subjects, and the first study that compared the results obtained from surveillance of ILI, ARI, official COVID-19 laboratory-confirmed cases and the seroprevalence of antibodies against SARS-CoV-2. The main findings from this seroprevalence study performed prior to the ongoing third epidemic wave of COVID-19 (end of September 2020) indicate that the prevalence of SARS-CoV-2 antibodies was around 17% with an estimated total number of 322,033 infections in Vojvodina. These results suggest that the population of Vojvodina has still not reached the desirable level of herd immunity with the majority of our population being immunologically naive to SARS-CoV-2 virus, which explains the occurrence and the intensity of the ongoing third wave of the epidemic.

Seroprevalence of SARS-CoV-2 antibodies in general population varies across different regions and countries and ranges from < 0.1% to more than 20% [28, 17, 18]. Such large discrepancies could be ascribed to differences in the phases of epidemic, type of implemented measures of outbreak control, duration of the study period and type of used methodology, participant selection method, as well as serologic tests used. Common feature in these studies is low overall seroprevalence of SARS-CoV-2 antibodies in the population during the first and second waves of COVID-19 pandemic. Bearing this in mind, it is probable that population of most countries is still susceptible to SARS-CoV-2 infection. However, the results of anti-SARS-CoV-2 seroprevalence in other settings showed certain similarities with the findings on our territory, particularly in the early phase of COVID-19 pandemic. A population-based study in Switzerland [2] which was conducted during five consecutive weeks (between April 6 and May 9, 2020) reported seroprevalence between 4.8% (first week) and 10.8% (fifth week). A Spanish nationwide population-based seroepidemiological study [19] that was conducted from April 27 to May 11, 2020, demonstrated IgG antibodies against SARS-CoV-2 in 5% of Spanish population. At the same time, our survey revealed low prevalence of SARS-CoV-2 antibodies in our population during the first wave, since it was 2.6% at the end of April and 3.9% at the end of May. Lower seroprevalence of SARS-CoV-2 antibodies in our territory compared to the population in the two aforementioned studies is probably the result of the fact that Serbia was under a complete lockdown between March 16 and April 21, 2020 [9].

Interestingly, our study results indicate that there were around 76,000 citizens of Vojvodina with SARS-CoV-2 antibodies during the period of complete lockdown. Of note, after this lockdown, on May 22, 2020, Serbia completely opened the borders and relieved all restrictive measures introduced before [9]. As a result, a marked increase in the prevalence of official laboratory-confirmed COVID-19 cases and the seropositivity of anti-SARS-CoV-2 was detected. Our estimates are that at the end of June, there were around 118,000 and at the end of September as much as 322,000 citizens in Vojvodina, who had been in contact with SARS-CoV-2 virus, as assessed by the presence of anti-SARS-CoV-2 antibodies in our tested participants. The obvious increase in the number of seropositive people in late September, could be associated to a summer peak of the second wave of the epidemic that occurred between the second half of June and the first half of September.

Considering the fact that seroprevalence studies provide estimates of the total number of infections in a community (which is especially useful for recognition of portion of asymptomatic and mild cases who did not need to seek health care), we presume that over the course of our study in Vojvodina, there were 39–87 undetected infections for every RT-PCR confirmed case of COVID-19. Although the differences in the number of infections and officially reported cases in other regions might be even higher and range between 82 and 130 vs. 1 [17], it still appears that the coverage of testing in the population of Vojvodina was quite low. For example, in settings with a wide test-track-trace approach, it has been shown that the ratio between estimated seroprevalence SARS-CoV-2 infections and RT-PCR laboratory-confirmed decreased to 10 vs. 1 [20].

It is noteworthy to emphasize that the testing practices changed during the course of the pandemic in our territory. During the early phase of epidemic, the priority for testing was applied in symptomatic and severe clinical forms of COVID-19, and the testing of close contacts of laboratory-confirmed COVID-19 cases was not performed. Over time, with the improvement of RT-PCR diagnostic capacities and increased testing rates throughout Vojvodina, the indications for testing were expanded with permanent efforts to enhance testing among asymptomatic persons who had contact with laboratory-confirmed COVID-19 cases. In addition, testing based on a personal request of citizens was also included. All these reasons probably contributed to a decrease in the ratio between officially registered and estimated cases by survey between April to September. Nevertheless, a large disproportion between SARS-CoV-2 infection and laboratory-confirmed COVID-19 cases strongly suggests that many of the patients have not been recognized and were underreported, so they could spread infection as asymptomatic mobile carriers in the population of Vojvodina. This disproportion was the most noticeable among children aged 5–14 years. A possible explanation for this may lie in the fact that COVID-19 among children commonly follows mild or asymptomatic clinical course and therefore cases remain underreported.

We have observed important disparities between different age groups of participants. During most of the investigation period, the highest seroprevalence of SARS-CoV-2 antibodies was detected in participants aged 30–64 years, but after completion of the study (the end of September), we have found the highest anti-SARS-CoV-2 seropositivity among subjects aged 15–29 years. This finding potentially indicates that the main reservoirs of SARS-CoV-2 infection in our population were students from high schools and faculties and young working people, probably due to their more frequent social interactions as well as a lower awareness of the need to follow recommended measures of control of the epidemic. On the other hand, the young children (0–4 years) and older people (≥65 years) had the lowest seroprevalence of all age groups. The post-infection immune response in children is not yet clear, but IgG response in children seems to be delayed [2]. As for the elderly, due to targeted efforts that were especially focussed to protect the oldest part of population in Vojvodina (through limitation of their close contacts), people in this age group were exposed to a significantly lower risk to the SARS-CoV-2 virus than the individuals belonging to other age groups. Since the immune response is impaired to some extent in the elderly [21], the possibility of false negative serology test results in this age group has to be taken into account when interpreting our results. Noteworthy the findings related to seroprevalence by age groups in our study are consistent with the results of previously published results from other regions across the world [2, 17, 19, 22, 23].

Apart from comparison of RT-PCR confirmed cases with the estimated seroprevalence cases, we have also showed that a tracking of ILI and ARI cases during this period of pandemic apparently coincided with the trend of registered COVID-19 cases. Although we are fully aware that not all registered ILI or ARI cases represented COVID-19 cases, still it is important to highlight that an increasing weekly number of ILI and ARI cases based on well-established active surveillance system of influenza disease can indirectly signalize the beginning of a new epidemic wave of COVID-19. This follow-up is especially important in late spring and during summer months when small portion of other respiratory viruses exist in the population.

Our study had some limitations. First, we did not test samples for virus neutralization and therefore, the presence and proportion of neutralizing IgG SARS-CoV-2 antibodies in our study group remained unknown. Second, we did not perform validation of used serological tests. Thus, considering the specificities of used tests, we cannot completely exclude a possibility that some of the participants had false positive results due to a past or present infection with other viruses, such as endemic non-SARS-CoV-2 coronavirus strains [24, 25]. However, we believe that our results are comparable with results presented in other studies, especially considering the fact that we have only included participants within a minimum three weeks after the peaks of epidemic or during an inter-epidemic period (endemic phase) of COVID-19 in Vojvodina when a diagnostic sensitivity of serological test (both IgM and IgG) has already reached a satisfactory level [6, 13, 15, 16]. Moreover, in the last round of the study, we have also used the test for detection of S1 subunit of the spike protein and N protein of SARS-CoV-2 virus that improved diagnostic accuracy [26] regarding adequate classification of seropositive persons. The finding that, after the adjustment by more specific assay, a number of seropositive individuals increased and not decreased in most age groups (with the exception to some extent in children) argues against significant detection of the antibodies to endemic coronaviruses that has been misinterpreted as anti-SARS-COV-2 antibodies in our study participants. In any case, the use of rapid tests for population-based estimates, and particularly for monitoring trends over time, is in our opinion acceptable [27]. Third, our questionnaire did not predict collection of the data related to underlying conditions which might have biased the final seroprevalence findings. Fourth, due to a small sample size of participants aged 0–4 and 5–14 years, seroprevalence estimates presented wide confidence intervals in these age groups. Therefore, a further and more extensive study aimed to elucidate levels of seropositivity of SARS-CoV-2 in this population is warranted. Finally, the number of officially laboratory-confirmed COVID-19 cases in Vojvodina increased substantially since the finalization of the serosurvey, meaning that, the seroprevalence of SARS-CoV-2 antibodies reported in this study does not represent true seroprevalence at the time of publication.

In conclusion, results of our systematic sampling approach based on a 0.1% of the total population in Vojvodina have provided important seroprevalence data for national and local public health policies. Taking into account that the threshold of herd immunity for COVID-19 is estimated to be approximately 60%–70% [20, 28, 29], it is likely to assume that the next COVID-19 epidemic wave(s) is/are going to occur in the near future in our territory. On the other hand, considering the facts that a mere antibody detection without antibody function assessment does not equate protection and that a duration of seroprotection remains unclear to date [18, 30], the intensity of the next epidemic wave in our territory is unpredictable. Further study based on the measurement of the neutralizing antibody levels, which will better determine the immunity to reinfection in the population of Vojvodina, should be undertaken at the earliest opportunity. Until then, the steps aimed to help prevent the spread of SARS-CoV-2 virus in the community such as person to person distancing, consistent and correct use of face coverings, washing hands frequently as well as staying home when sick should be consistently applied [23, 30, 31]. Apart from these epidemiological measures, a mass immunization is crucial in controlling the COVID-19 epidemic [32, 33]. Vaccination campaigns, not only provide individual protection for those that have been immunized, but they also aim for herd immunity, given that a sufficient number of people got the vaccine [34]. By June 9, 2021, as much as 42% of population of Vojvodina has been vaccinated with at least one dose of vaccine [9], but the desirable threshold of 60–70% (or higher) of immune people has not been reached yet. In order to determine the true level of herd immunity for COVID-19 (both natural following infection and vaccine induced) in Vojvodina and Serbia, a prospective serosurvey parallel with rapid pandemic vaccination campaign, needs to be performed in the whole territory. The results provided through this future serosurvey, would be very important in targeted efforts to harmonize the public health policies that should lead eventually to mitigation and control of COVID-19 epidemic in our region.

Supporting information

S1 Table. Estimated number of SARS-CoV-2 seropositivity in population of Vojvodina, Serbia between April and September, 2020.

(DOCX)

Acknowledgments

The authors are grateful to all the nurses, general practitioners, paediatricians, administrative personnel, and other health care workers from Health Care Centres throughout Vojvodina who collaborated in this study and to all participantsthat voluntarily took part in the study. We also thank the epidemiologists from local departments of public health, namely dr Slađana Tomić, dr Olivera Stanišić, dr Tanja Todorović, dr Tatjana Medić, dr Gordana Cvetić, dr Marija Lazarević, dr Mina Jandrić Kočić, dr Tatjana Pecarski, dr Sandra Radlović, dr Dragica Kovačević, dr Nebojša Bohucki, dr Radivoj Filipov, dr Žanka Subić, and dr Svetlana Popov for their invaluable contributions to this study. A special thanks goes to Dr Jasmina Boban (Department for Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia) for the revision of the manuscript.

Data Availability

All relevant data are within the manuscript and its Supporting information files.

Funding Statement

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors received no specific funding for this work.

References

  • 1.WHO. Population-based age-stratified seroepidemiological investigation protocol for COVID-19 virus infection. March 17, 2020. https://apps.who.int/iris/handle/10665/331656 [accessed November 30, 2020].
  • 2.Stringhini S, Wisniak A, Piumatti G, Azman AS, Lauer SA, Baysson H, et al. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study. Lancet. 2020;396(10247):313–319. doi: 10.1016/S0140-6736(20)31304-0 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sood N, Simon P, Ebner P, Eichner D, Reynolds J, Bendavid E, et al. Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Los Angeles County, California, on April 10–11, 2020. JAMA. 2020;323(23):2425–2427. doi: 10.1001/jama.2020.8279 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Flahault A. Has China faced only a herald wave of SARS-CoV-2? Lancet. 2020;395(10228):947. doi: 10.1016/S0140-6736(20)30521-3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lai CC, Wang JH, Hsueh PR. Population-based seroprevalence surveys of anti-SARS-CoV-2 antibody: An up-to-date review. Int J Infect Dis. 2020;101:314–322. doi: 10.1016/j.ijid.2020.10.011 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Xu X, Sun J, Nie S, Li H, Kong Y, Liang M, et al. Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China. Nat Med. 2020;26(8):1193–1195. doi: 10.1038/s41591-020-0949-6 Erratum in: Nat Med. 2020;26(9):1494. [DOI] [PubMed] [Google Scholar]
  • 7.Paulino-Ramirez R, Báez AA, Vallejo Degaudenzi A, Tapia L. Seroprevalence of Specific Antibodies against SARS-CoV-2 from Hotspot Communities in the Dominican Republic. Am J Trop Med Hyg. 2020. doi: 10.4269/ajtmh.20-0907 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Shields A, Faustini SE, Perez-Toledo M, Jossi S, Aldera E, Allen JD, et al. SARS-CoV-2 seroprevalence and asymptomatic viral carriage in healthcare workers: a cross-sectional study. Thorax. 2020:thoraxjnl-2020-215414. doi: 10.1136/thoraxjnl-2020-215414 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.The Government of the Republic of Serbia; COVID-19. https://www.srbija.gov.rs/sekcija/en/151926/covid-19.php [Accessed June 9, 2021].
  • 10.Ristić M, Nikolić N, Čabarkapa V, Turkulov V, Petrović V. Validation of the STANDARD Q COVID-19 antigen test in Vojvodina, Serbia. PLoS One. 2021;16(2):e0247606. doi: 10.1371/journal.pone.0247606 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ristić M, Stojanović VD, Milošević V, Radovanov J, Dugandžija T, Bjelica A, et al. Surveillance of influenza in the post-pandemic period in Vojvodina, Serbia, October 2010 –May 2015. Srp Arh Celok Lek. 2017; 145(7–8):387–393. doi: 10.2298/SARH160901068R [DOI] [Google Scholar]
  • 12.Ristić M, Štrbac M, Medić S, Petrović V. Estimation of influenza activity in Vojvodina (Serbia) for five consecutive seasons. Vojnosanit Pregl. 2018; 75(6):589–597. doi: 10.2298/VSP160906379R [DOI] [Google Scholar]
  • 13.Long QX, Liu BZ, Deng HJ, Wu GC, Deng K, Chen YK, et al. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat Med. 2020;26(6):845–848. doi: 10.1038/s41591-020-0897-1 . [DOI] [PubMed] [Google Scholar]
  • 14.Liang W, Lin Y, Bi J, Li J, Liang Y, Wong SS, et al. Serosurvey of SARS-CoV-2 among hospital visitors in China. Cell Res. 2020;30(9):817–818. doi: 10.1038/s41422-020-0371-0 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Johns Hopkins Center for Health Security. Serology-based tests for COVID-19. https://www.centerforhealthsecurity.org/resources/COVID-19/serology/Serology-based-tests-for-COVID-19.html#sec1. [Accessed November 28, 2020].
  • 16.RecomLine SARS-CoV-2 IgG. Mikrogen Gmbh;Germany. https://www.mikrogen.de/english/products/product-overview/testsystem/sars-cov-2-igg-aviditaet-ruo.html. [Accessed November 25, 2020].
  • 17.Murhekar MV, Bhatnagar T, Selvaraju S, Rade K, Saravanakumar V, Vivian Thangaraj JW, et al. Prevalence of SARS-CoV-2 infection in India: Findings from the national serosurvey, May-June 2020. Indian J Med Res. 2020;152(1 & 2):48–60. doi: 10.4103/ijmr.IJMR_3290_20 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Naranbhai V, Chang CC, Beltran WFG, Miller TE, Astudillo MG, Villalba JA, et al. High Seroprevalence of Anti-SARS-CoV-2 Antibodies in Chelsea, Massachusetts. J Infect Dis. 2020;222(12):1955–1959. doi: 10.1093/infdis/jiaa579 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pollán M, Pérez-Gómez B, Pastor-Barriuso R, Oteo J, Hernán MA, Pérez-Olmeda M, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet. 2020;396(10250):535–544. doi: 10.1016/S0140-6736(20)31483-5 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Song SK, Lee DH, Nam JH, Kim KT, Do JS, Kang DW, et al. IgG Seroprevalence of COVID-19 among Individuals without a History of the Coronavirus Disease Infection in Daegu, Korea. J Korean Med Sci. 2020;35(29):e269. doi: 10.3346/jkms.2020.35.e269 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ghaffari A, Meurant R, Ardakani A. COVID-19 Serological Tests: How Well Do They Actually Perform? Diagnostics (Basel). 2020;10(7):453. doi: 10.3390/diagnostics10070453 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rosenberg ES, Tesoriero JM, Rosenthal EM, Chung R, Barranco MA, Styer LM, et al. Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Ann Epidemiol. 2020;48:23–29.e4. doi: 10.1016/j.annepidem.2020.06.004 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Biggs HM, Harris JB, Breakwell L, Dahlgren FS, Abedi GR, Szablewski CM, et al. Estimated Community Seroprevalence of SARS-CoV-2 Antibodies—Two Georgia Counties, April 28-May 3, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(29):965–970. doi: 10.15585/mmwr.mm6929e2 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Vena A, Berruti M, Adessi A, Blumetti P, Brignole M, Colognato R, et al. Prevalence of Antibodies to SARS-CoV-2 in Italian Adults and Associated Risk Factors. J Clin Med. 2020;9(9):2780. doi: 10.3390/jcm9092780 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fang B, Meng QH. The laboratory’s role in combating COVID-19. Crit Rev Clin Lab Sci. 2020;57(6):400–414. doi: 10.1080/10408363.2020.1776675 . [DOI] [PubMed] [Google Scholar]
  • 26.Caruana G, Croxatto A, Coste AT, Opota O, Lamoth F, Jaton K, et al. Diagnostic strategies for SARS-CoV-2 infection and interpretation of microbiological results. Clin Microbiol Infect. 2020;26(9):1178–82. doi: 10.1016/j.cmi.2020.06.019 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Silveira MF, Barros AJD, Horta BL, Pellanda LC, Victora GD, Dellagostin OA, et al. Population-based surveys of antibodies against SARS-CoV-2 in Southern Brazil. Nat Med. 2020;26(8):1196–1199. doi: 10.1038/s41591-020-0992-3 . [DOI] [PubMed] [Google Scholar]
  • 28.Kwok KO, Lai F, Wei WI, Wong SYS, Tang JWT. Herd immunity—estimating the level required to halt the COVID-19 epidemics in affected countries. J Infect. 2020;80(6):e32–e33. doi: 10.1016/j.jinf.2020.03.027 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kontou PI, Braliou GG, Dimou NL, Nikolopoulos G, Bagos PG. Antibody Tests in Detecting SARS-CoV-2 Infection: A Meta-Analysis. Diagnostics (Basel). 2020;10(5):319. doi: 10.3390/diagnostics10050319 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Havers FP, Reed C, Lim T, Montgomery JM, Klena JD, Hall AJ, et al. Seroprevalence of Antibodies to SARS-CoV-2 in 10 Sites in the United States, March 23-May 12, 2020. JAMA Intern Med. 2020. doi: 10.1001/jamainternmed.2020.4130 . [DOI] [PubMed] [Google Scholar]
  • 31.WHO. Coronavirus disease (COVID-19): How is it transmitted? https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-covid-19-how-is-it-transmitted [accessed December 10, 2020].
  • 32.Abu Jabal K, Ben-Amram H, Beiruti K, Batheesh Y, Sussan C, Zarka S, et al. Impact of age, ethnicity, sex and prior infection status on immunogenicity following a single dose of the BNT162b2 mRNA COVID-19 vaccine: real-world evidence from healthcare workers, Israel, December 2020 to January 2021. Euro Surveill. 2021;26(6):2100096. doi: 10.2807/1560-7917.ES.2021.26.6.2100096 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jeyanathan M, Afkhami S, Smaill F, Miller MS, Lichty BD, et al. Immunological considerations for COVID-19 vaccine strategies. Nat Rev Immunol. 2020;20(10):615–632. doi: 10.1038/s41577-020-00434-6 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Adil Mahmoud Yousif N, Tsoungui Obama HCJ, Ngucho Mbeutchou YJ, Kwamou Ngaha SF, Kayanula L, Kamanga G, et al. The impact of COVID-19 vaccination campaigns accounting for antibody-dependent enhancement. PLoS One. 2021;16(4):e0245417. doi: 10.1371/journal.pone.0245417 . [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Martin Chtolongo Simuunza

4 Jun 2021

PONE-D-21-00866

Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study

PLOS ONE

Dear Dr. Ristić,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

I am sorry for the delay in making a decision on this paper. This was due to problems with finding  reviewers. The reviewer recommends that you make minor revisions to your manuscript. Please attend to all the concerns raised and then resubmit your revised manuscript as advised in this letter.

Please submit your revised manuscript by Jul 19 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Martin Chtolongo Simuunza, PhD

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Thank you for stating the following financial disclosure:

"The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

At this time, please address the following queries:

  1. Please clarify the sources of funding (financial or material support) for your study. List the grants or organizations that supported your study, including funding received from your institution.

  2. State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

  3. If any authors received a salary from any of your funders, please state which authors and which funders.

  4. If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Thank you for the opportunity to review “Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study”.

The manuscript is well written, timely and has public health applications both locally and internationally. Please find below suggestions/comments that may be used to improve this manuscript.

1) In the introduction: a summary of the public health policies that were implemented in Vojvodina during the study period to provide context to the seroprevalence rates (i.e. lock downs, school closures, etc.)

2) In the methods:

a. There is a lot of detail in the methods on the immunoassays. This section should be more concise, and authors can refer to manufactures website or package inserts for more details.

b. Did the authors try to reweigh their sample to reflect the larger target population?

c. There is no mention in the methods of how seroprevalence rates were “adjusted” (as indicated table 1)?

d. Authors can try to use the Rogen Gladden equation to adjust for imperfect test characteristics when using one assay to determine seroprevalence, this is based on the sensitivity and specificity of the assay

3) Results:

a. Abbreviations (ARI) should be included as footnotes to each table

b. A summary of Table 2 would be easier to follow as graph

c. Did authors attempt to stratify by regions to identify “hot zones” within Vojvodina? There would presumably be significant heterogeneity by socioeconomic status.

d. Linear trend in figure 2 is not informative I would suggest removing, stratifying by age groups will illustrate results found in Table 2.

e. Is it possible to know if the study population reflect the same population that would be visiting the clinics (pre-covid), basic comparisons by demographic variables before and during covid would speak to the generalizability of the results to the target population

4) Conclusion:

a. Authors may want to comment on the feasibility of this study and steps to scale seroprevalence studies across the country or target specific areas.

b. Authors may also want to comment on vaccine rollouts in Vojvodina and how seroprevalence studies will continue to be important to track population level exposure.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2021 Jul 9;16(7):e0254516. doi: 10.1371/journal.pone.0254516.r002

Author response to Decision Letter 0


14 Jun 2021

PONE-D-21-00866

Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study

PLOS ONE

Dear Editor,

First of all, we would like to thank you for considering our paper for publication in your Journal. We are grateful for all the suggestions and remarks, which we find well-intended and helpful. The authors have considered all the comments and we did our best to correct the manuscript in the more appropriate and clear way. All the changes that have been made are highlighted in the manner proposed by the Journal.

Response to Reviewers

IMPORTANT!

Comments to the Author are shown in regular fonts, while the comments to the academic Editor are in the italic fonts.

Please note that in accordance with the Reviewer suggestions, we have revised the Figure 2 and attached the corrected file (Fig 2-corrected, in which we removed “linear trend” ). Also, the comment on vaccine rollouts in Vojvodina that was added in the Conclusion section, as suggested by the reviewer, resulted in addition of three new references in the revised version of the manuscript (references 32-34).

Reviewer #1: Thank you for the opportunity to review “Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study”.

The manuscript is well written, timely and has public health applications both locally and internationally. Please find below suggestions/comments that may be used to improve this manuscript.

1) In the introduction: a summary of the public health policies that were implemented in Vojvodina during the study period to provide context to the seroprevalence rates (i.e. lock downs, school closures,etc.)

-Thank you very much for this useful suggestion. In order to provide context to the seroprevalence rates, we added in the revised manuscript the short overview of the public health policies that were implemented in our territory during the study period.

2) In the methods:

a. There is a lot of detail in the methods on the immunoassays. This section should be more concise, and authors can refer to manufactures website or package inserts for more details.

-Thank you for this suggestion. However, considering a vast number of assays available and a lack of standardized methodology, the authors feel that it is very important to present all these laboratory procedures in detail in case that other readers/researches want to compare their results with ours. Other studies also explained laboratory procedures without citation of special reference, and many of them highlighted that procedures were performed according to manufacturer's instructions (Regarding this, we suggest to look for some of the references in the list provided below). Nevertheless, if the reviewer insists on shortentning of this section, we are ready to move this part to the supplementary material.

A list of references with similar presentation of laboratory procedures:

1. Chinese Center for Disease Control and Prevention. The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team. The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) — China, 2020. CCDC Weekly / Vol. 2.

2. Scohy A, Anantharajah A, Bodéus M, Kabamba-Mukadi B, Verroken A, Rodriguez-Villalobos H. Low performance of rapid antigen detection test as frontline testing for COVID-19 diagnosis. J Clin Virol. 2020;129:104455. doi: 10.1016/j.jcv.2020.104455. PMID: 32485618; PMCID: PMC7240272.

3. Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020;25(3):2000045. doi: 10.2807/1560-7917.ES.2020.25.3.2000045. PMID: 31992387; PMCID: PMC6988269.

4. World Health Organization. Diagnostic assessment: in vitro diagnostic medical devices (IVDs) used for the detection of high-risk human papillomavirus (HPV) genotypes in cervical cancer screening. Licence: CC BY-NC-SA 3.0 IGO. Available from: https://apps.who.int/iris/handle/10665/272282.

5. Assennato SM, Ritchie AV, Nadala C, Goel N, Tie C, Nadala LM, et al. Performance evaluation of the SAMBA II SARS-CoV-2 Test for point-of-care detection of SARS-CoV-2. J Clin Microbiol. 2020:JCM.01262-20. doi: 10.1128/JCM.01262-20. Epub ahead of print. PMID: 33051242.

6. Harrington A, Cox B, Snowdon J, Bakst J, Ley E, Grajales P, et al. Comparison of Abbott ID Now and Abbott m2000 Methods for the Detection of SARS-CoV-2 from Nasopharyngeal and Nasal Swabs from Symptomatic Patients. J Clin Microbiol. 2020;58(8):e00798-20. doi: 10.1128/JCM.00798-20. PMID: 32327448; PMCID: PMC7383519.

7. Mertens P, De Vos N, Martiny D, Jassoy C, Mirazimi A, Cuypers L, et al. Development and Potential Usefulness of the COVID-19 Ag Respi-Strip Diagnostic Assay in a Pandemic Context. Front Med (Lausanne). 2020;7:225. doi: 10.3389/fmed.2020.00225. PMID: 32574326; PMCID: PMC7227790.

8. Smithgall MC, Scherberkova I, Whittier S, Green DA. Comparison of Cepheid Xpert Xpress and Abbott ID Now to Roche cobas for the Rapid Detection of SARS-CoV-2. J Clin Virol. 2020;128:104428. doi: 10.1016/j.jcv.2020.104428. Epub 2020 May 13. PMID: 32434706; PMCID: PMC7217789.

9. Zhen W, Smith E, Manji R, Schron D, Berry GJ. Clinical Evaluation of Three Sample-to-Answer Platforms for Detection of SARS-CoV-2. J Clin Microbiol. 2020;58(8):e00783-20. doi: 10.1128/JCM.00783-20. PMID: 32332061; PMCID: PMC7383520.

10. Mak GC, Cheng PK, Lau SS, Wong KK, Lau CS, Lam ET, et al. Evaluation of rapid antigen test for detection of SARS-CoV-2 virus. J Clin Virol. 2020;129:104500. doi: 10.1016/j.jcv.2020.104500. Epub 2020 Jun 8. PMID: 32585619; PMCID: PMC7278630.

11. Caruana G, Croxatto A, Coste AT, Opota O, Lamoth F, Jaton K, et al. Diagnostic strategies for SARS-CoV-2 infection and interpretation of microbiological results. Clin Microbiol Infect. 2020;26(9):1178–82. doi: 10.1016/j.cmi.2020.06.019. PMID: 32593741; PMCID: PMC7315992.

12. Ristić M, Nikolić N, Čabarkapa V, Turkulov V, Petrović V. Validation of the STANDARD Q COVID-19 antigen test in Vojvodina, Serbia. PLoS One. 2021 Feb 22;16(2):e0247606. doi: 10.1371/journal.pone.0247606. PMID: 33617597; PMCID: PMC7899368.

b. Did the authors try to reweigh their sample to reflect the larger target population?

- Although we are aware that increasing the sample would better represent our population and improve our manuscript, we were not able to do it and we did not predict this in our serosurvey

c. There is no mention in the methods of how seroprevalence rates were “adjusted” (as indicated table 1)?

-Thank you for this helpful suggestion. In order to clarify that, we added in the “Data analysis” section additional information how the “adjustement” of the seroprevalence rates were done using results given by line immunoassay test.

d. Authors can try to use the Rogen Gladden equation to adjust for imperfect test characteristics when using one assay to determine seroprevalence, this is based on the sensitivity and specificity of the assay.

- Thank you for this interesting suggestion. We have tried to implement this equation, and obtained results, which were close to the values that we already had, especially after the adjustement of the results by line immunoassay test results (please refer to Table 1). Therefore we may assume that the final percentages that we got after the adjustment may well represent a true level of seroprevalence in Vojvodina at the moment when study was over (end of September, 2020).

3) Results:

a. Abbreviations (ARI) should be included as footnotes to each table.

- Thank you for this suggestion. We added abbreviations (ARI) in the Fig 2 and the Table 2 where the ARI was mentioned. We also changed a title of Table 2 accordingly.

b. A summary of Table 2 would be easier to follow as graph.

- Although we value this remark, we can not absolutely agree with it. Namely, Table 2 shows the whole spectrum of different numbers (cumulative, estimated), as well as ratios between cumulative and estimated number of COVID-19 and ARI by age groups during the four consecutive time-points in this seroprevalence survey. Thus, although the graph would be more easy to follow, it would be very complicated to show all of this data on one or more figures. Bearing this in mind, we think that Table 2 is more appropriate to present the full extent of our results in one place in the paper.

c. Did authors attempt to stratify by regions to identify “hot zones” within Vojvodina? There would presumably be significant heterogeneity by socioeconomic status.

- We did not manage to identify such “hot zones” within Vojvodina. As we stated in the Materials and methods section, Vojvodina is divided in 44 settlement areas and seven administrative districts. After the recruitment of the representative sample of participants (0.1% out of the total population) and assessment of the seroprevalence, we have not found that the prevalence of SARS-COV-2 seropositivity significantly deviated by districts or settlement areas of Vojvodina during the study period. It is possible that the reason for this lies in the small study sample. So, further and more extensive study in Vojvodina as well as in the whole territory of Serbia is warranted (as commented in Conclusion section in the revised manuscript).

d. Linear trend in figure 2 is not informative I would suggest removing, stratifying by age groups will illustrate results found in Table 2.

- We agree with your suggestion and we have removed “linear trend” in Fig 2. Corrected Figure has been provided together with the revised manuscript.

e. Is it possible to know if the study population reflect the same population that would be visiting the clinics (pre-covid), basic comparisons by demographic variables before and during covid would speak to the generalizability of the results to the target population.

- Thank you for this interesting question. We agree that basic comparisons by demographic variables before and during COVID would be very useful and speak to the generalizability of our results. However, as we stated in the Materials and methods section, we conducted a cross-sectional study from the representative sample of participants on a voluntary basis after controlling for age and gender, and we did not know, and this was not aim of this investigation, whether our participants visited the clinics or not. But, considering the inclusion criteria in this study, it seems that results of our study can be extrapolated to total population and whole territory of Vojvodina.

4) Conclusion:

a. Authors may want to comment on the feasibility of this study and steps to scale seroprevalence studies across the country or target specific areas.

- In conclusion, we have already hinted that our results based on 0.1% of the population of Vojvodina may imply that similar results can be expected in the whole territory of Vojvodina, and Serbia as well. However, we are fully aware that “Further study based on the measurement of the neutralizing antibodies levels, which will better determine the immunity to reinfection in the population of Vojvodina, should be undertaken at the earliest opportunity” as we stated in the conclusion of this paper. We also accentuated the importance of scaling-up the seroprevalence studies across the whole country in the comment added in the Conclusion section in the revised manuscript.

b. Authors may also want to comment on vaccine rollouts in Vojvodina and how seroprevalence studies will continue to be important to track population level exposure.

- Thank you very much for this suggestion. We have added a comment on vaccine rollouts in Vojvodina in the conclusion section of the paper, and emphasized the importance of further seroprevalence studies for the estimation of herd immunity as a crucial step towards control of COVID-19 pandemics. As a result, three references has been added in the revised manuscript (References 32-34).

The authors feel that the paper is overall of a better quality after including the well-intended and helpful remarks obtained from the Reviewer.

Thank you for the consideration of our manuscript, we look forward to the next step of the paper revisions and hope for the positive outcome.

Sincerely,

Mioljub Ristić, MD, PhD

Centre for Disease Control and Prevention, Institute of Public Health of Vojvodina, Novi Sad, Serbia

Futoška 121, Novi Sad 21 000, Serbia

E-mail: mioljub.ristic@mf.uns.ac.rs

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Martin Chtolongo Simuunza

29 Jun 2021

Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study

PONE-D-21-00866R1

Dear Dr. Ristić,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Martin Chtolongo Simuunza, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Authors resisted a few suggestions but made efforts to address others. I have no other suggestions at this point.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Acceptance letter

Martin Chtolongo Simuunza

1 Jul 2021

PONE-D-21-00866R1

Seroprevalence of antibodies against SARS-CoV-2 virus in Northern Serbia (Vojvodina): a four consecutive sentinel population-based survey study

Dear Dr. Ristić:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Martin Chtolongo Simuunza

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Estimated number of SARS-CoV-2 seropositivity in population of Vojvodina, Serbia between April and September, 2020.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting information files.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES