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. 2022 Aug 5;2(8):e0000658. doi: 10.1371/journal.pgph.0000658

U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022

Amen Ben Hamida 1,2,*, Myrna Charles 2,3, Christopher Murrill 2,4, Olga Henao 1,2, Kathleen Gallagher 1,2
Editor: Julio Croda5
PMCID: PMC9490761  NIHMSID: NIHMS1832332  PMID: 36157894

Abstract

SARS-CoV-2 seroprevalence surveys provide critical information to assess the burden of COVID-19, describe population immunity, and guide public health strategies. Early in the pandemic, most of these surveys were conducted within high-income countries, leaving significant knowledge gaps in low-and middle-income (LMI) countries. To address this gap, the U.S. Centers for Disease Control and Prevention (CDC) is supporting serosurveys internationally. We conducted a descriptive analysis of international serosurveys supported by CDC during May 12, 2020–February 28, 2022, using an internal tracker including data on the type of assistance provided, study design, population surveyed, laboratory testing performed, and status of implementation. Since the beginning of the pandemic, CDC has supported 72 serosurveys (77 serosurvey rounds) in 35 LMI countries by providing technical assistance (TA) on epidemiologic, statistical, and laboratory methods, financial assistance (FA), or both. Among these serosurvey rounds, the majority (61%) received both TA and FA from CDC, 30% received TA only, 3% received only FA, and 5% were part of informal reviews. Fifty-four percent of these serosurveys target the general population, 13% sample pregnant women, 7% sample healthcare workers, 7% sample other special populations (internally displaced persons, patients, students, and people living with HIV), and 18% assess multiple or other populations. These studies are in different stages of implementation, ranging from protocol development to dissemination of results. They are conducted under the leadership of local governments, who have ownership over the data, in collaboration with international partners. Thirty-four surveys rounds have completed data collection. CDC TA and FA of SARS-CoV-2 seroprevalence surveys will enhance the knowledge of the COVID-19 pandemic in almost three dozen LMI countries. Support for these surveys should account for current limitations with interpreting results, focusing efforts on prospective cohorts, identifying, and forecasting disease patterns over time, and helping understand antibody kinetics and correlates of protection.

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—the virus responsible for coronavirus disease 2019 (COVID-19)—was first identified in December 2019 in Wuhan, China. After its rapid spread to 20 additional countries in the first six weeks, on January 30, 2020, the World Health Organization (WHO) declared COVID-19 a public health emergency of international concern (PHEIC, [1]). As of May 2022, virtually all countries have been affected by COVID-19, resulting in more than 520 million COVID-19 confirmed cases and more than 6.2 million COVID-19-related deaths reported globally [2].

Seroprevalence surveys are generally conducted to assess the prevalence of pathogen-specific antibodies in the serum and have been used extensively in the past to serve various public health purposes, including to a) assess the prevalence and incidence of infections (e.g., human immunodeficiency virus [HIV], hepatitis C and B viruses) [36]; b) identify populations that are susceptible to infections [7]; and c) inform and sustain models for disease control, elimination, or eradication (e.g., measles, rubella, diphtheria, poliomyelitis, and neonatal tetanus) [810].

SARS-CoV-2 seroprevalence surveys complement case-surveillance data. Case-surveillance generates data that is needed to assess the burden and severity of disease and identify transmission hotspots. However, these case reports are generally incomplete because many infections are not recognized; for example, if a) an individual is asymptomatic and does not seek health care, b) testing is not available and accessible, or c) identified cased are not appropriately reported to the national public health disease surveillance system. It is in this context that SARS-CoV-2 seroprevalence surveys—which estimate the prevalence of SARS-CoV-2 antibodies within a specific population and thus provide a useful proxy to assess previous exposure to and/or vaccination against SARS-CoV-2—were initiated. Data from these surveys provide critical information for decision-makers to estimate the true burden of disease, describe population immunity over place and time, identify still-at-risk groups, help assess vaccination coverage, and ultimately guide public health strategies [11].

During the first year of the COVID-19 pandemic, most seroprevalence surveys were conducted within high-income countries, leaving a significant knowledge gap in low- and middle-income (LMI) countries. For example, among the 968 studies included in a systematic literature review of SARS-CoV-2 seroprevalence studies conducted during 2020, only 23% were from LMI countries [1113]. To address this gap, the U.S. Centers for Disease Prevention and Control (CDC)—along with multiple other international actors, including WHO—started supporting seroprevalence studies in LMI settings in mid-2020. In this paper, we describe CDC’s support of international seroprevalence surveys, define the purpose and characteristics of the supported studies, discuss challenges with implementation and propose possible steps moving forward to use seroprevalence data for public health action.

Materials and methods

On January 20, 2020, CDC activated its Emergency Operations Center in response to the COVID-19 pandemic to coordinate efforts to stop the transmission of SARS-CoV-2 [14]. Consequently, an incident management structure was established, including the development and implementation of an incident action plan. Within the Incident Management System, an International Task Force, mostly consisting of CDC staff, was established to oversee CDC’s role in the global response, including support for the implementation and monitoring of SARS-CoV-2 international seroprevalence studies. These studies were funded mainly by the Coronavirus Aid, Relief, and Economic Security (CARES) Act, enacted on March 27, 2020 [1416].

CDC-supported international seroprevalence studies are conducted under the leadership and guidance of local government agencies that request CDC support (e.g., Ministries of Health or national public health institutes) in close coordination with international stakeholders such as the WHO and Africa CDC. The national governmental agencies retain total ownership over generated seroprevalence data. However, limited and temporary access to seroprevalence data may be granted to CDC by the local authorities for a specific task (e.g., data analysis). Technical support is generally provided through CDC offices in country. It includes sharing of templates and guidance documents, assistance in protocol development, advice on sampling methodology and laboratory techniques, staff training, data analysis and interpretation, and dissemination of results.

To ensure some degree of standardization, whenever possible, CDC staff worked closely with WHO, and encouraged countries to use the WHO UNITY protocol entitled “Population-based age-stratified seroepidemiological investigation protocol for COVID-19 infection.” The WHO UNITY protocol is part of a global seroepidemiological standardization initiative to increase evidence-based knowledge for action [17]. The WHO UNITY criteria include: using an age-stratified sample from the general population; following a cross-sectional, repeated cross-sectional, or a longitudinal survey design, including all individuals regardless of acute or prior SARS-CoV-2 infection; and using a validated SARS-CoV-2 laboratory test kit with sensitivity ≥ 90% and specificity ≥ 97% [17]. Survey designs were modified, as appropriate, to accommodate country-specific needs.

To support the implementation of these surveys, in December 2020 CDC initiated an international seroprevalence community of practice (a virtual monthly group call) to facilitate communication between CDC headquarters and country office staff engaging in seroprevalence work. This community of practice provided an opportunity to discuss and exchange information on topics including sampling, testing, and survey methods and to share ongoing progress, lessons learned, and available seroprevalence data.

In addition, we developed an Excel-based tracker for CDC-supported international seroprevalence surveys, where project staff could update status of protocol development and implementation for each survey. We reviewed information from the tracker and conducted a descriptive analysis of international serosurveys supported by CDC during May 12, 2020–February 28, 2022. Variables included in the analysis were: 1) type of assistance provided (e.g., only technical assistance, only financial assistance, both, informal technical review [as defined by a one-time request for technical review or consultation for a seroprevalence protocol that CDC is not actively engaged in]), 2) WHO region, 3) study design and population surveyed, 4) laboratory testing used, 5) status of survey implementation and 6) status of dissemination.

This activity was reviewed by CDC, deemed not to be research (ID: 0900f3eb81de998d), and was conducted consistent with applicable federal law and CDC policy (See e.g., 45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. §241(d); 5 U.S.C. §552a; 44 U.S.C. §3501 et seq.). The same applies for all the serosurveys described in this manuscript that have received CDC funding and CDC technical assistance or in which CDC staff are listed as co-authors.

Results

Type of CDC support and geographic distribution

As of February 28, 2022, CDC has supported 72 COVID-19 international seroprevalence surveys, corresponding to 77 survey rounds in 35 LMI countries.

Among these survey rounds, the majority (61%) receive both technical and financial assistance from CDC, 30% receive technical assistance only, and 3% receive only financial assistance. Six percent were part of informal CDC reviews and technical assistance under the request of local authorities or external partners (Fig 1).

Fig 1. CDC support to SARS-CoV-2 international seroprevalence surveys as of February 28, 2022 (N = 72 surveys / 77 survey rounds).

Fig 1

Note: TA: Technical assistance. Greyed countries did not receive CDC assistance. Map developed using QGIS Software and Natural Earth base layer [18,19].

Most surveys (54%) were conducted within the WHO African region, followed by 18% in the Americas region, 13% within the South-East Asian region, 7% in the Western Pacific region, and 4% for each of the European and Eastern Mediterranean regions.

Study design, population of interest, and WHO UNITY determination

Among the 72 seroprevalence surveys, 69% are based on a cross-sectional design (84% of which are using a single round, while the remaining 16% are using multiple rounds), 19% involve following longitudinal cohorts, and 10% are part of the establishment of COVID-19-specific sentinel surveillance (or being integrated within an already existing surveillance system). The remaining 1% are using a hybrid design customized to the target population (Table 1).

Table 1. Summary of CDC-supported international SARS-CoV-2 seroprevalence surveys (N = 72 surveys / 77 survey rounds).

Variables N (%)
Type of Support (N = 77 survey rounds)
    Technical and financial assistance
    Technical assistance only
    Financial assistance only
    Informal review

47 (61%)
23 (30%)
2 (3%)
5 (6%)
Survey design (N = 72 surveys)
    Cross-sectional (one-time survey)
    Repeated cross-sectional
    Longitudinal cohort
    Sentinel surveillance system*
    Hybrid design**

42 (58%)
8 (11%)
14 (19%)
7 (10%)
1 (1%)
Population surveyed (N = 72 surveys)
    General population—Household survey
    General population—Other
    Healthcare workers
    People living with HIV
    Persons who were displaced
    Patients
    Students
    Pregnant
    Other
    Multiple

34 (47%)
5 (7%)
5 (7%)
3 (4%)
1 (1%)
1 (1%)
1 (1%)
9 (13%)
3 (4%)
10 (14%)
WHO region (N = 72 surveys)
    Africa
    Americas
    South-East Asia
    Europea
    Eastern Mediterranean
    Western Pacific

39 (54%)
13 (18%)
9 (13%)
3 (4%)
3 (4%)
5 (7%)
Serologic testing (N = 77 survey rounds)
    ELISA
    Antibody Rapid Test
    Multiplex
    Other/multiple
    To be determined

40 (52%)
8 (10%)
15 (19%)
9 (12%)
5 (6%)
Sample collection (N = 77 survey rounds)
    Venipuncture
    Finger Stick
    Remnant samples
    Multiple
    Not yet determined

42 (55%)
19 (25%)
4 (5%)
6 (8%)
6 (7%)
Progress to date (N = 77 survey rounds)
    Protocol preparation and drafting
    Preparing for data collection
    Data collection ongoing
    Data analysis ongoing
    Drafting of deliverables ongoing
    Dissemination of results complete
    Serosurvey interrupted
    CDC monitoring discontinued

12 (16%)
12 (16%)
13 (17%)
14 (18%)
15 (19%)
5 (6%)
2 (3%)
4 (5%)

Notes

*Setting new sentinel surveillance systems (e.g., each month, recruiting the first 30 pregnant women who are consulting at an ante-natal care clinic) or integrating seroprevalence within existing ones (e.g., acute febrile illness sentinel surveillance system).

**Customized to the target population. ELISA: enzyme-linked immunosorbent assay. Some variable percentages total 99% due to rounding.

Forty-seven percent of the surveys involve targeting the general population through household-based surveys, and 7% involve targeting the general population through other means (e.g., recruiting from community venues or using a convenience sample); 13% involve sampling pregnant women; 7% involve following health care worker cohorts; and 7% are conducted among other special populations including people living with HIV, persons who were displaced, and students. The remaining 18% target multiple or other populations (e.g., truck drivers).

Sixty-three percent of survey rounds have been assessed against WHO UNITY criteria. Among these, 79% involved methods aligned with the WHO UNITY criteria, and 21% did not.

Laboratory procedures

Among the 77 serosurvey rounds, 55% involved collecting blood via venipuncture, 25% involved using a finger stick and 5% involved using remnant samples from other studies or ongoing cohorts. Eight percent involved using multiple sample collection types, and 7% are yet to be determined. Seventeen percent involved using dried blood spots to store and transport specimens (Table 1).

The choice of antibody assays has been determined for 95% of serosurvey rounds. About half (55%) involved using an enzyme-linked immunosorbent assay (ELISA) to detect SARS-CoV-2 antibodies in serum, 20% involved using a multiplex assay, and 11% involved using a rapid test. The remaining 13% involved using multiple assays.

Progress to date

Progress varies across countries. By February 28, 2022, among the 77 survey rounds, 16% are in the stage of protocol development, 16% are in the stage of preparing for data collection, 17% are in the stage of data collection, 18% are in the stage of data analysis, 19% are in the stage of developing their deliverables, and 6% have their dissemination of results completed. The remaining 8% are either interrupted or CDC monitoring was discontinued (e.g., if CDC support was limited to an informal review) (Table 1).

Dissemination of results

To date, five manuscripts have been published. All five were cross-sectional, population-based surveys conducted in Africa (Table 2). As of February 2022, at least 15 other manuscripts from 10 countries are currently being drafted.

Table 2. Published CDC-supported SARS-CoV-2 international seroprevalence studies by February 28, 2022 (N = 5).

Country Geographic Scope Design Data Collection Period Seroprevalence estimate Infections to Cases Ratio Reference
Ethiopia 14 major urban areas Cross-sectional, population-based June 24–July 8, 2020 3.5% (95% CI = 3.2%–3.8%) 21:1 (in Addis Ababa) Tadesse et al. [20]
Kenya Nairobi Cross-sectional, population-based November 2020 34.7% (95% CI = 31.8–37.6) 42:1 Ngere et al. [21]
Senegal National Cross-sectional, population-based October 24–November 26, 2020 28.4% (95% CI = 26.1–30.8) 295:1 Talla et al. [22]
Sierra Leone National Cross-sectional, population-based March 2021 2.6% (95% CI = 1.9%–3.4%) 43:1 Barrie et al. [23]
Zambia 6 districts Cross-sectional, population-based July 4–27, 2020 Combined PCR and ELISA: 10.6% (95% CI = 7.3–13.9)
ELISA: 2.1% (95% CI = 1.1–3.1)
92:1 Mulenga et al. [24]

Notes: Infections to case ratio: Number of possible SARS-CoV-2 infections estimated based on the seroprevalence survey, divided by the number of COVID-19 cases detected by the national surveillance system by the mid-point of the data collection period. ELISA: enzyme-linked immunosorbent assay. PCR: polymerase chain reaction. CI: confidence interval.

As shown in Table 2, among the published data, SARS-CoV-2 seroprevalence estimates obtained mostly during the first year of pandemic ranged from 2.1% in Zambia (6 districts, July 2020) to 34.7% in Kenya (Nairobi, November 2020) [2024]. Infection to reported cases ratios—which is the ratio of the number of persons with previous infections as detected by seroprevalence studies (seropositive), to the number of COVID-19 cases detected by the surveillance system during the same period—ranged from 21:1 in Ethiopia (Addis Ababa, June–July 2020) to 295:1 in Senegal (National, October–November 2020) [2024].

Discussion

To supplement ongoing COVID-19 surveillance efforts in countries and ensure a thorough understanding of disease prevalence in LMI settings, CDC currently supports more than 70 seroprevalence studies in 35 countries. These surveys vary significantly in type of CDC support received, study design, the population surveyed, geographic distribution, laboratory method, and progress to date.

The heterogenicity in seroprevalence studies is expected given the varying situations and populations surveyed both within and between countries and has been observed by others conducting a systematic review to track SARS-CoV-2 serosurveys globally [12,13]. In June 2021, a Canadian team published a systematic literature review of seroprevalence studies conducted during 2020, which included 968 unique serosurveys with significant heterogenicity noted [11]. In order to make sense of this diversity in seroprevalence studies and ensure comparability of results, several global initiatives have been launched including the Serotracker website, designed by the same Canadian team, which conducts a systematic live review of published SARS-CoV-2 seroprevalence studies, and displays results in an automated live dashboard, allowing users to filter seroprevalence studies by several criteria including region, population of interest, date of data collection, and test type [12,13]. Additional initiatives include the WHO UNITY approach and protocol templates for population-based seroprevalence surveys, which advocate for more standardization and more rigorous methods while conducting serosurveys [17,25]; and the WHO statement on the reporting of seroprevalence studies, which aims to standardize reporting of seroprevalence studies’ results [26].

Five CDC-supported seroprevalence studies have been published to date; and at least 15 more had their results disseminated with MOH and are currently in the stage of developing their deliverables. All five published serosurveys were cross-sectional, population-based, and from countries in the WHO Africa region, with wide ranges in both SARS CoV-2 seroprevalence estimates (2.1% to 34.7%) and infection-to-cases ratios (21:1 to 295:1) [2024]. Of note, the previously mentioned systematic review and meta-analysis, including surveys conducted during 2020, estimated the median corrected SARS CoV-2 seroprevalence to be 0.6% in Southeast Asia, East Asia, and Oceania; 4.1% in high-income countries; 8.2% in North Africa and the Middle East; 10.6% in Latin America and the Caribbean; 12.2% in Central Europe, Eastern Europe, and Central Asia; 17.1% in South Asia; and 19.5% in Sub-Saharan Africa [11]. The extreme variability in infection-to-case ratios from the CDC-supported surveys conducted in 2020 is consistent with those reported in the literature, from a median of 6:1 in Central Europe, Eastern Europe, and Central Asia to 217:1 in Southeast Asia, East Asia, and Oceania [11,13]. This variability highlight the need for health systems building and improved population surveillance in many LMI countries; and could be explained by different factors including differences in public health surveillance systems, availability of testing, clinical presentation, and mitigation measures implemented in-countries.

Seroprevalence results provide critical information for decision makers to guide ongoing public health strategies for the prevention and control of COVID-19. They allow for the assessment of the burden of disease (e.g., cumulative incidence and true case-to-fatality ratio), identification of hidden hotspots, quantification of the infection-to-case ratio, and estimation of vaccination coverage [11,2024]. When coupled with other surveillance, clinical, and epidemiologic data, data from these surveys can also help distinguish between a) a well-functioning surveillance system capturing most of the cases; b) a real gap in the ability of public health system to identify, diagnose, and report symptomatic cases; and c) a less severe clinical presentation which may lead to limited healthcare-seeking behavior.

Supporting the implementation of international seroprevalence surveys has numerous ongoing and emerging challenges. These include the ever-evolving nature of the pandemic, changes in mitigation strategies and shifting data needs to inform the response, limited resources to support these and other epidemiologic endeavors globally, and competing country priorities. Additionally, legal and logistic challenges limited the capacity of some countries to have access to antibody tests in a timely manner. Finally, there is a clear need for serosurveys to adopt more efficient processes that allow for timelier implementation. These could include better integration with other ongoing surveillance or epidemiologic efforts; standardization of processes; and real-time analysis and dissemination of results.

Several factors have also challenged the interpretation and usefulness of seroprevalence surveys leading to a change over time in the questions these surveys can address. These include concerns about SARS-CoV-2 cross-reactivity with other pathogens, the implementation of COVID-19 vaccination campaigns, the emergence of new variants, reports of waning immunity, and un-defined correlates of protection (CoP).

Several reports have been shared suggesting possible antigenic cross-reactivity between SARS-CoV-2 and other pathogens including Plasmodium species, Dengue viruses, and other human coronaviruses; possibly leading to a decreased specificity of SARS-CoV-2 serologic testing and a higher level of false positive results, especially in the African region [2732]. To help address this, CDC and WHO recommend using serologic tests that have been independently validated and conducting an in-country validation or verification whenever possible [33,34].

Early in the pandemic and before the introduction of SARS-CoV-2 vaccines, most seroprevalence survey objectives focused on assessing the true burden of disease to help identify gaps in national public health surveillance systems and identify at-risk populations [11,17,25]. The introduction of vaccines, critical in slowing the spread of the virus and decreasing severity of the disease, has created challenges in the design, implementation, and interpretation of SARS-CoV-2 serosurveys. Testing algorithms involving the use of antibody assays with different targets (e.g. antibodies anti-nucleocapsid protein and antibodies anti-Spike protein) have been developed to help distinguish between natural and vaccine-induced immunity for vaccines that only target Spike protein-derived antigens (e.g., current mRNA and viral vector vaccines) [35]. However, if the countries are using other vaccines or the survey design does not allow to distinguish between natural and vaccine-induced immunity, the objectives of seroprevalence surveys would be mostly limited to elucidating potentially at-risk populations and allocating scarce resources (vaccines) efficiently [35]. Additionally, mounting evidence of waning antibodies with both natural and vaccine-induced immunities challenges the ability to assess both the true burden of disease and vaccination coverage [3639]. Of note, infection severity, timing of testing, and the choice of antibody assays all seem to significantly impact antibodies’ detection over time [40]. CDC is currently working with international partners to address the statistical, epidemiologic, and laboratory considerations of vaccine introduction and to adapt seroprevalence protocols accordingly, based on WHO interim guidance and in-country specific needs and priorities.

Finally, the question of correlates of protection (CoP) for SARS-CoV2 is not resolved. Several studies have documented an inverse relationship between neutralizing antibody levels and incidence of infection, and a correlation between these antibody levels and vaccine efficacy suggests a possible relative CoP against infection that is likely defined by quantitative thresholds [35,4144]. However, most serosurveys underway are using qualitative assays to assess circulating antibodies. Cellular immunity, which is generally more durable and likely to be integral to CoP, is generally not assessed in these surveys due to technical and cost challenges [35,41].

CDC technical assistance and financial support of SARS-CoV-2 international seroprevalence surveys contribute to strengthening local capacity to conduct epidemiologic surveillance and enhance the knowledge of the COVID-19 pandemic in almost three dozen LMI countries. Considering constantly evolving challenges to implementation and interpretation of seroprevalence results two years into the COVID-19 pandemic, there is a need for the global public health community to assess the best strategies for future SARS-CoV-2 seroprevalence efforts. These strategies could include developing a better understanding of antibody kinetics, identifying and forecasting epidemic patterns over time, and helping assess CoP. These objectives may be attainable by relying on prospective cohorts, integrating COVID-19 sero-surveillance with surveillance of other pathogens, and introducing quantitative testing of binding and neutralizing antibodies. Support for international seroprevalence surveys can help understand patterns of transmission, guide public health interventions, allocate resources strategically, and ultimately control the spread of the pandemic.

Supporting information

S1 Data. De-identified data set.

(XLSX)

Acknowledgments

U.S. CDC Countries offices involved in seroprevalence work; National Ministries of Public Health, CDCs, Institutes for Public health, and other implementing partners; U.S. CDC Division of Global Health Protection, Global Epidemiology, Laboratory, and Surveillance Branch, Surveillance and Information Systems Team and Laboratory Team; U.S. CDC International Task Force, Epidemiology and Laboratory Teams; WHO Seroprevalence Team; SeroTracker team; and Africa CDC Seroprevalence Team.

Disclaimer

The findings and conclusions in this study are those of the author(s) and do not necessarily represent the views of the U.S. Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry.

Data Availability

De-identified data uploaded with the submission as supporting materials.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.World Health Organization (WHO). COVID-19 Public Health Emergency of International Concern (PHEIC) Global research and innovation forum [Internet]. 2020 [updated 2020 February 12; cited 2021 November 23]. Available from: https://www.who.int/publications/m/item/covid-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum.
  • 2.World Health Organization (WHO). COVID-19 Explorer [Internet]. 2020 [updated 2022 May 18; cited 2022 May 18]. Available from: https://worldhealthorg.shinyapps.io/covid/.
  • 3.Khokhar N, Gill ML, Malik GJ. General seroprevalence of hepatitis C and hepatitis B virus infections in population. J Coll Physicians Surg Pak. 2004;14(9):534–6. 09.2004/JCPSP.534536 [PubMed] [Google Scholar]
  • 4.Drain PK, Smith JS, Hughes JP, Halperin DT, Holmes KK. Correlates of National HIV Seroprevalence: An Ecologic Analysis of 122 Developing Countries. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2004;35(4). doi: 10.1097/00126334-200404010-00011 [DOI] [PubMed] [Google Scholar]
  • 5.Abdool Karim Q, Abdool Karim SS, Singh B, Short R, Ngxongo S. Seroprevalence of HIV infection in rural South Africa. AIDS (London, England). 1992;6(12):1535–9. doi: 10.1097/00002030-199212000-00018 [DOI] [PubMed] [Google Scholar]
  • 6.Ott JJ, Stevens GA, Groeger J, Wiersma ST. Global epidemiology of hepatitis B virus infection: New estimates of age-specific HBsAg seroprevalence and endemicity. Vaccine. 2012;30(12):2212–9. doi: 10.1016/j.vaccine.2011.12.116 [DOI] [PubMed] [Google Scholar]
  • 7.Jacobsen KH, Koopman JS. Declining hepatitis A seroprevalence: a global review and analysis. Epidemiology and Infection. 2004;132(6):1005–22. doi: 10.1017/s0950268804002857 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.PachÓN I, Amela C, De Ory F. Age-specific seroprevalence of poliomyelitis, diphtheria and tetanus antibodies in Spain. Epidemiology and Infection. 2002;129(3):535–41. doi: 10.1017/s0950268802007781 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.McQuillan GM, Kruszon-Moran D, Hyde TB, Forghani B, Bellini W, Dayan GH. Seroprevalence of Measles Antibody in the US Population, 1999–2004. The Journal of infectious diseases. 2007;196(10):1459–64. doi: 10.1086/522866 [DOI] [PubMed] [Google Scholar]
  • 10.Winter AK, Martinez ME, Cutts FT, Moss WJ, Ferrari MJ, McKee A, et al. Benefits and Challenges in Using Seroprevalence Data to Inform Models for Measles and Rubella Elimination. The Journal of infectious diseases. 2018;218(3):355–64. doi: 10.1093/infdis/jiy137 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bobrovitz N, Arora RK, Cao C, Boucher E, Liu M, Donnici C, et al. Global seroprevalence of SARS-CoV-2 antibodies: A systematic review and meta-analysis. PloS one. 2021;16(6):e0252617. doi: 10.1371/journal.pone.0252617 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.SeroTracker: a global SARS-CoV-2 seroprevalence dashboard [Internet]. 2020 [updated 2021 November 10; cited 2021 November 24]. Available from: https://serotracker.com/en/Explore.
  • 13.Arora RK, Joseph A, Van Wyk J, Rocco S, Atmaja A, May E, et al. SeroTracker: a global SARS-CoV-2 seroprevalence dashboard. The Lancet Infectious diseases. 2021;21(4):e75–e6. doi: 10.1016/S1473-3099(20)30631-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.U.S. Centers for Disease Control and Prevention (CDC). CDC Emergency Operations Center Activations [Internet]. 2020 [updated January 20, 2020; cited November 26, 2021]. Available from: https://emergency.cdc.gov/recentincidents/.
  • 15.Congress.gov. H.R.748 - CARES Act [Internet]. 2019 [updated March 27, 2020; cited November 26, 2021]. Available from: https://www.congress.gov/bill/116th-congress/house-bill/748.
  • 16.Bipartisan Policy Center. U.S. Leadership in the COVID-19 Pandemic Response: Global Health is U.S. Health [Internet]. 2020 [updated April 2020; cited November 26, 2021]. Available from: https://bipartisanpolicy.org/download/?file=/wp-content/uploads/2020/04/BPC_Health_COVID19-Pandemic-Response.pdf.
  • 17.World Health Organization (WHO). Coronavirus disease (COVID-19) technical guidance: The Unity Studies: Early Investigation Protocols [Internet]. 2020 [updated 2020 May 26; cited 2021 November 24]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/early-investigations.
  • 18.Natural Earth. Public Domain Map Dataset 2022 [cited May 25 2022]. Available from: https://www.naturalearthdata.com/about/terms-of-use/.
  • 19.QGIS. A Free and Open Source Geographic Information System 2022 [cited May 25 2022]. Available from: https://qgis.org/en/site/index.html.
  • 20.Tadesse EB, Endris AA, Solomon H, Alayu M, Kebede A, Eshetu K, et al. Seroprevalence and risk factors for SARS-CoV-2 Infection in selected urban areas in Ethiopia: a cross-sectional evaluation during July 2020. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2021;111:179–85. doi: 10.1016/j.ijid.2021.08.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ngere I, Dawa J, Hunsperger E, Otieno N, Masika M, Amoth P, et al. High seroprevalence of SARS-CoV-2 but low infection fatality ratio eight months after introduction in Nairobi, Kenya. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2021;112:25–34. doi: 10.1016/j.ijid.2021.08.062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Talla C, Loucoubar C, Roka JL, Barry A, Ndiay S, Diarra M, et al. Seroprevalence of Anti-SARS-CoV-2 Antibodies in Senegal: A National Population-Based Cross-Sectional Survey, between October and November 2020 [PrePrint]. 2021 [updated September 17, 2021; cited November 29, 2021]. Available from: 10.2139/ssrn.3925475. [DOI] [PMC free article] [PubMed]
  • 23.Barrie MB, Lakoh S, Kelly JD, Kanu JS, Squire JS, Koroma Z, et al. SARS-CoV-2 antibody prevalence in Sierra Leone, March 2021: a cross-sectional, nationally representative, age-stratified serosurvey. BMJ Glob Health. 2021;6(11). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Mulenga LB, Hines JZ, Fwoloshi S, Chirwa L, Siwingwa M, Yingst S, et al. Prevalence of SARS-CoV-2 in six districts in Zambia in July, 2020: a cross-sectional cluster sample survey. The Lancet Global health. 2021;9(6):e773–e81. doi: 10.1016/S2214-109X(21)00053-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bergeri I, Lewis HC, Subissi L, Nardone A, Valenciano M, Cheng B, et al. Early epidemiological investigations: World Health Organization UNITY protocols provide a standardized and timely international investigation framework during the COVID-19 pandemic. Influenza and other respiratory viruses. 2021;16(1), 7–13. doi: 10.1111/irv.12915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.World Health Organization Seroepidemiology Technical Working G. ROSES-S: Statement from the World Health Organization on the reporting of seroepidemiologic studies for SARS-CoV-2. Influenza and other respiratory viruses. 2021;15(5):561–8. doi: 10.1111/irv.12870 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Yadouleton A, Sander AL, Moreira-Soto A, Tchibozo C, Hounkanrin G, Badou Y, et al. Limited Specificity of Serologic Tests for SARS-CoV-2 Antibody Detection, Benin. Emerging infectious diseases. 2021;27(1). doi: 10.3201/eid2701.203281 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Emmerich P, Murawski C, Ehmen C, von Possel R, Pekarek N, Oestereich L, et al. Limited specificity of commercially available SARS-CoV-2 IgG ELISAs in serum samples of African origin. Trop Med Int Health. 2021;26(6):621–31. doi: 10.1111/tmi.13569 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lustig Y, Keler S, Kolodny R, Ben-Tal N, Atias-Varon D, Shlush E, et al. Potential Antigenic Cross-reactivity Between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Dengue Viruses. Clin Infect Dis. 2021;73(7):e2444–e9. doi: 10.1093/cid/ciaa1207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Gold JE, Baumgartl WH, Okyay RA, Licht WE, Fidel PL Jr., Noverr MC, et al. Analysis of Measles-Mumps-Rubella (MMR) Titers of Recovered COVID-19 Patients. mBio. 2020;11(6). doi: 10.1128/mBio.02628-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Tso FY, Lidenge SJ, Pena PB, Clegg AA, Ngowi JR, Mwaiselage J, et al. High prevalence of pre-existing serological cross-reactivity against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in sub-Saharan Africa. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2021;102:577–83. doi: 10.1016/j.ijid.2020.10.104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Masyeni S, Santoso MS, Widyaningsih PD, Asmara DW, Nainu F, Harapan H, et al. Serological cross-reaction and coinfection of dengue and COVID-19 in Asia: Experience from Indonesia. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2021;102:152–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.NRL Science of Quality. Independent NRL contracted SARS-CoV-2 IVD assessments [Internet]. 2021 [updated November 29, 2021; cited November 29, 2021]. Available from: https://www.nrlquality.org.au/who-covid-evaluations-summary-of-results.
  • 34.FIND The Global Alliance for Diagnostics. FIND Evaluation of SARS-CoV-2 Antibody Detection Tests [Internet]. 2021 [updated April 30, 2021; cited November 29, 2021]. Available from: https://www.finddx.org/sarscov2-eval-antibody/.
  • 35.Duarte N, Yanes-Lane M, Arora RK, Bobrovitz N, Liu M, Bego MG, et al. Adapting Serosurveys for the SARS-CoV-2 Vaccine Era. Open forum infectious diseases. 2022;9(2):ofab632. doi: 10.1093/ofid/ofab632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kojima N, Klausner JD. Protective immunity after recovery from SARS-CoV-2 infection. The Lancet Infectious diseases. 2022;22(1):12–4. doi: 10.1016/S1473-3099(21)00676-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Dan JM, Mateus J, Kato Y, Hastie KM, Yu ED, Faliti CE, et al. Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection. Science. 2021;371(6529). doi: 10.1126/science.abf4063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wheatley AK, Juno JA, Wang JJ, Selva KJ, Reynaldi A, Tan HX, et al. Evolution of immune responses to SARS-CoV-2 in mild-moderate COVID-19. Nat Commun. 2021;12(1):1162. doi: 10.1038/s41467-021-21444-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Stone M, Grebe E, Sulaeman H, Di Germanio C, Dave H, Kelly K, et al. Evaluation of Commercially Available High-Throughput SARS-CoV-2 Serologic Assays for Serosurveillance and Related Applications. Emerging infectious diseases. 2022;28(3):672–83. doi: 10.3201/eid2803.211885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Peluso MJ, Takahashi S, Hakim J, Kelly JD, Torres L, Iyer NS, et al. SARS-CoV-2 antibody magnitude and detectability are driven by disease severity, timing, and assay. Science Advances. 2021;7(31):eabh3409. doi: 10.1126/sciadv.abh3409 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Perry J, Osman S, Wright J, Richard-Greenblatt M, Buchan SA, Sadarangani M, et al. Does a humoral correlate of protection exist for SARS-CoV-2? A systematic review. medRxiv. 2022:2022.01.21.22269667. doi: 10.1371/journal.pone.0266852 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Earle KA, Ambrosino DM, Fiore-Gartland A, Goldblatt D, Gilbert PB, Siber GR, et al. Evidence for antibody as a protective correlate for COVID-19 vaccines. Vaccine. 2021;39(32):4423–8. doi: 10.1016/j.vaccine.2021.05.063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Khoury DS, Cromer D, Reynaldi A, Schlub TE, Wheatley AK, Juno JA, et al. Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection. Nature Medicine. 2021;27(7):1205–11. doi: 10.1038/s41591-021-01377-8 [DOI] [PubMed] [Google Scholar]
  • 44.Cromer D, Steain M, Reynaldi A, Schlub TE, Wheatley AK, Juno JA, et al. Neutralising antibody titres as predictors of protection against SARS-CoV-2 variants and the impact of boosting: a meta-analysis. The Lancet Microbe. 2022;3(1):e52–e61. doi: 10.1016/S2666-5247(21)00267-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
PLOS Glob Public Health. doi: 10.1371/journal.pgph.0000658.r002

Decision Letter 0

Julio Croda

14 Jun 2022

PGPH-D-22-00877

U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022

PLOS Global Public Health

Dear Dr. Ben Hamida,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’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.

Please submit your revised manuscript by . If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ 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 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'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Julio Croda, Ph.D, M.D.

Academic Editor

PLOS Global Public Health

Journal Requirements:

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a. Please clarify all sources of funding (financial or material support) for your study. List the grants (with grant number) or organizations (with url) that supported your study, including funding received from your institution. 

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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.

Additional Editor Comments (if provided):

Dear Dr Amen Ben Hamida,

Thank you again for submitting your manuscript "U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022" to Plos Global Public Health. We have now received reports from 3 reviewers and, on the basis of their comments, we have decided to invite a revision of your work for further consideration in our journal. Your revision should address all the points raised by our reviewers (see their reports below).

When resubmitting, you must provide a point-by-point response to the reviewers’ comments. Please show all changes in the manuscript text file with track changes or colour highlighting. If you are unable to address specific reviewer requests or find any points invalid, please explain why in the point-by-point response.

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

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Does this manuscript meet PLOS Global Public Health’s publication criteria? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

Reviewer #3: Yes

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

Reviewer #1: Yes

Reviewer #2: N/A

Reviewer #3: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. 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: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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

PLOS Global Public Health 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

Reviewer #2: Yes

Reviewer #3: 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: The manuscript is technically good. It presents all the mandatory sections for an article and follows the steps of a scientific research. However, the results are interesting for the study funder itself and do not impact knowledge about the object of the study for people outside the organization.

Despite being technically flawless, the manuscript is more of a technical report than original research.

Reviewer #2: the article is very interesting. clearly summarizes the CDC's investment in research on the seroprevalence of covid-19. I missed work in Brazil, since it is one of the countries with the highest number of cases and deaths. But this does not rule out the importance of publication.

Reviewer #3: This paper summarized the CDC’s support of 72 international SARS-CoV-2 seroprevalence studies in 35 low and middle income countries. The paper describes the type of support the CDC provided (technical or financial assistance), the geographic distribution of support, study design including laboratory procedures, and population surveyed. The paper was clearly written and describes important ongoing global public health surveillance efforts. The discussion clearly describes the limitations to seroprevalence surveys, including the need for study designs to differentiate between vaccine-induced and naturally-acquired immunity. The manuscript was very clear in its description of CDC activities to date. A few comments:

• L203. The paper mentions that results from 5 serosurveys supported by the CDC have been published to date and 15 more have been shared with MOH. Please clarify the plans for dissemination of the remaining studies.

• Addressing the lack of global access to antibody tests is an urgent global health priority. I would suggest adding a paragraph in the Discussion to discuss access to antibody testing and the glaring need for international support, especially from the US, to improve global equity in access to antibody tests critical for global health surveillance.

• Additionally, I would suggest discussing the glaring disparities in infection-to-case ratios (Table 2) through a lens of health equity. The high infection-to-case ratios identified in many low and middle income countries highlights the critical need for health systems building and improved population surveillance.

**********

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For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: Yes: LUCIANO PAMPLONA DE GOES CAVALCANTI

Reviewer #3: 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 Glob Public Health. doi: 10.1371/journal.pgph.0000658.r004

Decision Letter 1

Julio Croda

2 Jul 2022

PGPH-D-22-00877R1

U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022

PLOS Global Public Health

Dear Dr. Ben Hamida,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’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.

Please submit your revised manuscript by Aug 01 2022 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 globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ 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 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'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Julio Croda, Ph.D, M.D.

Academic Editor

PLOS Global Public Health

Journal Requirements:

1. 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.

Additional Editor Comments (if provided):

Please answer reviewers' questions

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

Reviewers' comments:

[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 Glob Public Health. doi: 10.1371/journal.pgph.0000658.r006

Decision Letter 2

Julio Croda

18 Jul 2022

U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022

PGPH-D-22-00877R2

Dear Dr Ben Hamida,

We are pleased to inform you that your manuscript 'U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022' has been provisionally accepted for publication in PLOS Global Public Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

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 globalpubhealth@plos.org.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Julio Croda, Ph.D, M.D.

Academic Editor

PLOS Global Public Health

***********************************************************

Reviewer Comments (if any, and for reference):

Associated Data

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

    Supplementary Materials

    S1 Data. De-identified data set.

    (XLSX)

    Attachment

    Submitted filename: R1_Response.docx

    Attachment

    Submitted filename: R2_Responses.docx

    Attachment

    Submitted filename: R2_Responses.docx

    Data Availability Statement

    De-identified data uploaded with the submission as supporting materials.


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