Abstract
Here we present results from a survey on anti‐severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroprevalence in healthy blood donors from a low incidence coronavirus disease 2019 area (Apulia region, South Eastern Italy). Among 904 subjects tested, only in nine cases (0.99%) antibodies against SARS‐CoV‐2 were demonstrated. All the nine seropositive patients were negative for the research of viral RNA by reverse transcription polymerase chain reaction in nasopharyngeal swabs. These data, along with those recently reported from other countries, clearly show that we are very far from herd immunity and that the containment measures are at the moment the only realistic instrument we have to slow the spread of the pandemic.
Keywords: humoral immunity, immune responses, public policy, SARS coronavirus, social science, virus classification
Highlights
Seroprevalence for SARS‐CoV‐2 antibodies was studied in group of 904 healthy blood donors from South Eastern Italy.
Antibodies were detected only in nine (0.99%) cases. All the subjects were negative for viral RNA in nasopharyngeal swabs.
Herd immunity to the virus is far away to reach and is probably not a viable option to contain the spread of the pandemic
1. INTRODUCTION
Herd immunity is a concept in epidemiology that describes how people can collectively stave off infections if some percentage of the population has immunity to it. When most of a population is immune to an infectious disease, this provides indirect protection, or herd protection, to those who are not immune 1
There are two ways to achieve herd imhmunity: a large proportion of the population either gets infected or gets a protective vaccine. Based on early estimates of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infectiousness, it should be likely needed at least 60% to 70% of the population to be immune to have herd protection. 2 However, more recently mathematical models suggest that lower thresholds could be enough to place populations over the herd immunity threshold once as few as 43% 3 or even 10% to 20% of its individuals are immune. 4
It is therefore important and urgent to evaluate the extent of circulation the virus and of immunity to SARS‐CoV‐2 in the general populations of affected countries because this information should guide the extent of reduction or increasing of preventive measure vas such as dnonistancing etc.
Italy registered the first imported cases of infection in 31 January 2020 and after 1 week the first local case. After that, a dramatic burden of infections was diagnosed: 235,278 cases (with 33,964 deaths) as for 8 June 2020, with main clusters in Northern Italy. As a whole, 390 infections/100,000 inhabitants. In Foggia (Apulia region, South Eastern Italy) the first case was observed in March the 1st and as for 8 June 1162 cases were diagnosed with an incidence of 187 cases/100,000 inhabitants 5 ).
Although the total number of diagnosed infections is moderate, we miss clear information regarding the number of individuals in the general population that became immune, possibly acquiring the virus with no or mild symptoms.
Studies on blood donor cohorts are useful to evaluate the prevalence, incidence and natural course of infectious diseases in the general population and may thus help to assess both the viral circulation and the evolution of the COVID‐19 outbreak. Grazie
We therefore studied a group of healthy blood donors from Foggia province for the presence of immunoglobulin M (IgM) and immunoglobulin G (IgG) to antibodies to SARS‐CoV‐2 to examine the circulation of un the virus in the general population 3 months after the local start of the epidemic.
2. SUBJECTS, MATERIALS, AND METHODS
2.1. Subjects
The main study cohort was composed of blood donors, who were apparently healthy subjects, aged 18 to 65 years. Exclusion criteria were active infection or medical conditions, recent surgical procedures, stay in endemic areas, reported risk factors for parenterally acquired infections, chronic degenerative conditions, diagnosis of cancer or high risk of cardiovascular events. All donors underwent clinical examination, medical history evaluation and biochemical testing. All subjects should had been free of recent symptoms possibly related to COVID‐19, nor had close contact with confirmed cases, symptoms free during the preceding 14 days, nor had contacts with suspected cases.
Each blood donor signed written informed consents allowing for testing for communicable diseases, storing anonymized data and biological materials for diagnostic/research purposes, and use of their anonymous data for clinical research.
A total of 904 blood donors, referring to the Transfusional Center at the “Ospedali Riuniti” University Hospital (Foggia, Italy) were included in the study and subjected to the search for anti‐SARS‐CoV‐2 antibodies, in the period 1 to 31 May 2020. In the case of positivity, subjects were re‐called and reverse transcription‐polymerase chain reaction (RT‐PCR) for detection SARS‐CoV‐2 from nasopharyngeal swabs was performed.
2.2. Methods
2.2.1. Detection of anti SARS‐CoV‐2 antibodies
Anti‐SARS‐CoV‐2 IgG and IgM were analyzed by using a chemiluminescent analytical assay commercially available kit (New Industries Biomedical Engineering Co, Ltd [Snibe], Shenzhen, China) performed according to the manufacturers instructions. Reagent wells were coated with recombinant structural protein CoV‐S (spike) and e CoV‐N (nucleocapside) of SARS‐CoV‐2 for both IgM and IgG assay. For IgM assay, the microspheres were coated with a monoclonal antibody to capture human IgM followed by the addition of recombinant antigen from virus 2019‐novel coronavirus (nCoV) marked with amino‐butyl‐ethyl‐isoluminol. The samples, serum or plasma, were diluted by instrument. The relative light units (RLU) detected is proportional to the concentration of IgG/M in sample. An RLU‐ratio of the measurement of each sample to the supplied calibrator was calculated. According to manufacturer instructions for the IgG assay AU/mL of <1 was considered negative, 1.0 to 1.1 borderline and >1.1 positive; for IgM, an AU/mL <0.9 was considered negative, 0.9 to 1.0 borderline and >1.0 positive.
Manufacturers claimed that the calculated clinical sensitivities of IgM and IgG were 78.65% and 91.21%, respectively, while specificities of IgM and IgG were 97.50% and 97.3%, respectively.
2.2.2. RT‐PCR for detection SARS‐CoV‐2 from nasopharyngeal swabs
Viral RNA was extracted within 2 hours from sample collection using the STARMag 96 × 4 Universal Cartridge kit with the Microlab NIMBUS IVD instrument according to the manufacturer's instructions (Seegene Inc. Seoul, Korea). Amplification and detection of target genes N, E and RNA‐dependent RNA‐polymerase was performed using the commercially available kit Allplex 2019‐nCoV Assay (Seegene Inc, Seoul, Korea) with the CFX96TM instrument (Bio‐Rad, Hercules, CA). Results interpretation was performed with the Seegene Viewer software.
The declared Limit of detection of the Allplex 2019‐nCoV Assay (using the CFX96TM instrument) is 1250 copies/mL. The clinical evaluation with upper respiratory specimens including nasopharyngeal + oropharyngeal swabs generated a positive percent agreement: 100.00% (49/49) (95% confidence intervsl [CI]: 92.75%‐100.00%), and a negative percent agreement: 93.07% (94/101) (95% CI: 85.76%‐96.93%). The assay has high specificity with cross‐reaction occurring with others Sarbecovirus for the E target only.
3. RESULTS
A total of 904 subjects were enrolled in this study (666 males and 239 females) ranging from 18 to 65 years (Table 1). Among them, nine tested positive for antibodies to SARS‐CoV‐2: in eight cases only IgG antibodies were found while in one case both IgG and IgM were detected, with a percentage of positivity in the blood donor population of 0.99%.
Table 1.
n° | Positive n° | % | |
---|---|---|---|
Total | 904 | 9 | 0.99 |
Males | 665 | 5 | 0.75 |
Females | 239 | 4 | 1.6 |
Ages (range) | n° | n° | % |
---|---|---|---|
Group I (18‐25) | 112 | 1 | 0.89 |
Group II (26‐35) | 195 | 4 | 2.0 |
Group III (36‐45) | 202 | 1 | 0.49 |
Group IV (46‐55) | 246 | 0 | 0 |
Group IV (56‐65) | 149 | 3 | 2.0 |
Abbreviation: SARS‐CoV‐2, severe acute respiratory syndrome coronavirus 2.
Namely, 5 out of 665 males (0.75%) and 4 out of 239 women (1.6%) were tested positive, respectively (not significant). Regarding ages, a positive result was observed in 1 out of 112 (0.89%) of individuals aged 18 to 25 years, 4 out of 195 (2%) individuals aged 26 to 35 years, 1 out of 202 (0.49%) of individuals aged 36 to 45 years, none in the group 46 to 55 years, 3 out of 149 (2%) among subjects aged 56 to 65 years.
The RLU obtained in our laboratory in the samples from healthy subjects (n = 67), taken in the pre‐COVID‐19 period, are the following:
‐ IgM RLU mean: was 2629 (min: 1816; max: 4725);
‐ IgG RLU mean: was 1161 (min: 444; max: 11882);
No statistical differences were observed in the rate of antibody detection according to the sex and the age.
None of these subjects had clinical signs or symptoms and laboratory parameters alterations; all of them tested negative for RT‐PCR research of SARS‐CoV‐2 RNA in two nasopharyngeal swabs performed on two consecutive days.
4. DISCUSSION
Herd immunity is the resistance to the spread of a contagious disease that results if a sufficient proportion of a population is immune due to natural infection or mass vaccination.
Because an effective COVID‐19 vaccine is not yet available, herd immunity can be established if a large proportion of immune persons exist in a population to confer indirect protection from infection to susceptible individuals. The breadth of the barrier required to achieve herd immunity depends in large part on viral spread and infectivity. In the nomenclature of epidemiology, the basic reproduction number or R0 and the classical formula for calculating a herd immunity threshold is 1 − 1/R0. The higher the R0, the higher the threshold required for achieving herd immunity. Other important factors in calculating herd immunity thresholds include the number of social interactions and their durations, innate differences in individual immune responses, and divergent exposures to the infectious microbe 1
People who recover from a COVID‐19 coronavirus infection, at least for some time, develop immunity to the virus. 6
The disease‐induced herd immunity threshold for SARS‐CoV‐2, according to various epidemiologists, is believed to be around 60 to 70 percent. 2 More recently, some researchers have reported lower thresholds: from 43% to just 10% to 20% of the population, 3 , 4 suggesting that we could reach herd immunity thresholds by natural infections in the setting of COVID‐19 pandemic.
Recently, data from Spain, France, and Italy 7 , 8 , 9 countries that adopted strict lockdown measures indicate a very low seroprevalence in the general population (4.4%, 5%, and 7.1%, respectively). Noteworthy, even in Sweden, a country that decided for a herd immunity strategy, with very light restrictions on daily life, antibodies to SARS‐CoV‐2 were detectable in only 7.5% of the general population in Stockholm. 10
In other geographical regions, serosurveys in healthy individuals demonstrated a very low rate of positivity for SARS‐CoV‐2. 11 , 12 , 13 , 14 , 15
In our study, we confirm a low rate of antibodies against SARS‐CoV‐2 on a group of blood donors from a geographical region with a moderate incidence (187 cases/100,000 inhabitants vs the national data of 390 infections/100,000 inhabitants); our results are at variance with those observed in other regions of Italy. In fact, a higher rate of anti‐SARS‐CoV‐2 antibodies has been reported in studies conducted in a region with high incidence of infection, such as Lombardy, the most affected region in Italy, where the seroprevalence in blood donors was 5.2%, a number that is justified by the wide circulation of the virus in that area during the pandemic
A limitation of our study is that the enrolled population (18‐65 years old) is representative of only a part of the general population, since in Italy 22% of the individuals is aged >65 years (16)
However, presented data are relevant in that they refer to the more acting/interacting group of the population, also important from a productive point of view.
Certainly, we are far away from herd immunity and even from the more optimistic projections of threshold (10%‐20% of the population) to adopt more relaxed strategies.
In conclusion, strengthening herd immunity to control the COVID‐19 epidemic is not a viable option as large numbers of people are expected to become infected and many may die from COVID‐19. Preventive measures, including physical distancing, remain essential to contain the spread of infection until herd immunity can be safely acquired with the vaccine. Health authorities should take in account these considerations when facing the public health measures to be adopted throughout the COVID‐19 transition phases.
CONFLICT OF INTERESTS
The authors declare that there are no conflict of interests.
AUTHOR CONTRIBUTIONS
JRF planned and supervised the project and the manuscript writing. MC, MS, and LDF selected blood donors, collected and stored samples. ADC, TG, AR, MDS, and RDN performed serological and biomolecular assays. MDE, SLC, and TAS contributed to project planning and manuscript preparation. FA, GC, and MM supervised laboratory assays and contributed to manuscript writing.
Fiore JR, Centra M, De Carlo A, et al. Results from a survey in healthy blood donors in South Eastern Italy indicate that we are far away from herd immunity to SARS‐CoV‐2. J Med Virol. 2021;93:1739–1742. 10.1002/jmv.26425
REFERENCES
- 1. Fine P, Eames K, Heymann DL. “Herd immunity”: a rough guide. Clin Infect Dis. 2011;52(7):911‐916. [DOI] [PubMed] [Google Scholar]
- 2. Randolph HE, Barreiro LB. Herd Immunity: understanding COVID‐19. Immunity. 2020;52(5):737‐741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Britton T, Trapman P, Ball FG. The disease‐induced herd immunity level for COVID‐19 is substantially lower than the classical herd immunity level. medRxiv. 2020. 10.1101/2020.05.06.20093336 [DOI] [Google Scholar]
- 4. Gomes M, Corder RM, King JG, et al. Individual variation in susceptibility or exposure to SARS‐CoV‐2 lowers the herd immunity threshold. medRxiv. 2020. 10.1101/2020.04.27.20081893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. http://www.salute.gov.it/portale/nuovocoronavirus/dettaglioNotizieNuovoCoronavirus.jsp?lingua=italiano&menu=notizie&p=dalministero&id=4870
- 6. Braun J, Loyal L, Frentsch M, et al. Presence of SARS‐CoV‐2 reactive T cells in COVID‐19 patients and healthy donors. MedRxiv. 2020. 10.1101/2020.04.17.20061440 [DOI] [PubMed] [Google Scholar]
- 7. Ministerio de Sanidad, Consumo y Bienestar Social Estudio . Ene COVID 19: primera ronda estudio nacional de sero‐epidemiologia de la infeccion por SARS‐CoV‐2 en Espana. Informe Preliminar. 2020. https://www.mscbs.gob.es/gabinetePrensa/notaPrensa/pdf/ENE-C140520115618104.pdf [Google Scholar]
- 8. Salje H, Tran Kiem C, Lefrancq N, Courtejoie N, Bosetti P, Paireau J, et al. Estimating the burden of SARS‐CoV‐2 in France. Science. 2020:eabc3517. 10.1126/science.abc3517 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Valenti L, Bergna A, Pelusi S, et al. SARS‐CoV‐2 seroprevalence trends in healthy blood donors during the COVID‐19 Milan outbreak. medRxiv. 2020. 10.1101/2020.05.11.20098442 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. https://www.folkhalsomyndigheten.se/nyheter-och-press/nyhetsarkiv/2020/maj/forsta-resultaten-fran-pagaende-undersokning-av-antikroppar-for-covid-19/virus/?fbclid=IwAR0BK_fKQ2l9q4upW4LbMH4celkIaTXIyrvwvOW1RbaoxkJ1DKdEGPTxx6w
- 11. Sughayer MA, Mansour A, Nuirat AAl, Souan L, Ghanem M, Siag M. COVID‐19 seroprevalence rate in healthy blood donors from a community under strict lockdown measures. medRxiv. 2020. 10.1101/2020.06.06.20123919 [DOI] [Google Scholar]
- 12. To KKW, Cheng VCC, Cai JP, et al. Seroprevalence of SARS‐CoV‐2 in Hong Kong and in residents evacuated from Hubei province. China Multicohort Study Lancet Microbes. 2020;1:e111‐e118. 10.1016/S2666-5247(20)30053-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Filho LA, Landmann Szwarcwald C, de Oliveira Garcia Mateos S, et al. Seroprevalence of IgG and IgM anti‐SARS‐CoV‐2 among voluntary blood donors in Rio de Janeiro. Brazil Scielo Electron Libr 10.1590/SciELOPreprints.404 [DOI] [Google Scholar]
- 14. Sood N, Simon P, Ebner P, et al. Seroprevalence of SARS‐CoV‐2‐specific antibodies among adults in Los Angeles County, California, on April 10‐11, 2020. JAMA. 2020:e208279. 10.1001/jama.2020.8279 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. https://www.tuttitalia.it/statistiche/indici-demografici-struttura-popolazione/#:~:text=Struttura%20della%20popolazione%20dal%202002,anziani%2065%20anni%20ed%20oltre