Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies

被引:163
作者
Bergeri, Isabel [1 ]
Whelan, Mairead G. [2 ]
Ware, Harriet [2 ]
Subissi, Lorenzo [1 ]
Nardone, Anthony [1 ,3 ]
Lewis, Hannah C. [1 ,4 ]
Li, Zihan [2 ,5 ]
Ma, Xiaomeng [2 ,6 ]
Valenciano, Marta [1 ,3 ]
Cheng, Brianna [1 ,7 ]
Al Ariqi, Lubna [8 ]
Rashidian, Arash [9 ]
Okeibunor, Joseph
Azim, Tasnim [9 ]
Wijesinghe, Pushpa [9 ]
Linh-Vi Le [10 ]
Vaughan, Aisling [11 ]
Pebody, Richard [11 ]
Vicari, Andrea [12 ]
Yan, Tingting [13 ]
Yanes-Lane, Mercedes [14 ]
Cao, Christian [2 ]
Clifton, David A. [15 ]
Cheng, Matthew P. [16 ]
Papenburg, Jesse [16 ]
Buckeridge, David [16 ,17 ]
Bobrovitz, Niklas [13 ,18 ]
Arora, Rahul K. [2 ,15 ]
Van Kerkhove, Maria D. [1 ]
机构
[1] World Hlth Org, Geneva, Switzerland
[2] Univ Calgary, Cumming Sch Med, Ctr Hlth Informat, Calgary, AB, Canada
[3] Epiconcept, Paris, France
[4] World Hlth Org, Reg Off Africa, Brazzaville, Rep Congo
[5] Univ Waterloo, Fac Engn, Waterloo, ON, Canada
[6] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[7] McGill Univ, Sch Populat & Global Hlth, Montreal, PQ, Canada
[8] World Hlth Org, Reg Off Eastern Mediterranean, Cairo, Egypt
[9] World Hlth Org, Reg Off South East Asia, New Delhi, India
[10] World Hlth Org, Reg Off Western Pacific, Manila, Philippines
[11] World Hlth Org, Reg Off Europe, Copenhagen, Denmark
[12] World Hlth Org, Reg Off Amer, Pan Amer Hlth Org, Washington, DC USA
[13] Univ Toronto, Temerty Fac Med, Toronto, ON, Canada
[14] McGill Univ, COVID 19 Immun Task Force Secretariat, Montreal, PQ, Canada
[15] Univ Oxford, Inst Biomed Engn, Oxford, England
[16] McGill Univ, Div Infect Dis & Med Microbiol, Ctr Hlth, Montreal, PQ, Canada
[17] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[18] Univ Calgary, Dept Crit Care Med, Calgary, AB, Canada
关键词
PREVALENCE;
D O I
10.1371/journal.pmed.1004107
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Our understanding of the global scale of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection remains incomplete: Routine surveillance data underestimate infection and cannot infer on population immunity; there is a predominance of asymptomatic infections, and uneven access to diagnostics. We meta-analyzed SARS-CoV-2 seroprevalence studies, standardized to those described in the World Health Organization's Unity protocol (WHO Unity) for general population seroepidemiological studies, to estimate the extent of population infection and seropositivity to the virus 2 years into the pandemic. Methods and findings We conducted a systematic review and meta-analysis, searching MEDLINE, Embase, Web of Science, preprints, and grey literature for SARS-CoV-2 seroprevalence published between January 1, 2020 and May 20, 2022. The review protocol is registered with PROSPERO (CRD42020183634). We included general population cross-sectional and cohort studies meeting an assay quality threshold (90% sensitivity, 97% specificity; exceptions for humanitarian settings). We excluded studies with an unclear or closed population sample frame. Eligible studies-those aligned with the WHO Unity protocol-were extracted and critically appraised in duplicate, with risk of bias evaluated using a modified Joanna Briggs Institute checklist. We meta-analyzed seroprevalence by country and month, pooling to estimate regional and global seroprevalence over time; compared seroprevalence from infection to confirmed cases to estimate underascertainment; meta-analyzed differences in seroprevalence between demographic subgroups such as age and sex; and identified national factors associated with seroprevalence using meta-regression. We identified 513 full texts reporting 965 distinct seroprevalence studies (41% low- and middle-income countries [LMICs]) sampling 5,346,069 participants between January 2020 and April 2022, including 459 low/moderate risk of bias studies with national/subnational scope in further analysis. By September 2021, global SARS-CoV-2 seroprevalence from infection or vaccination was 59.2%, 95% CI [56.1% to 62.2%]. Overall seroprevalence rose steeply in 2021 due to infection in some regions (e.g., 26.6% [24.6 to 28.8] to 86.7% [84.6% to 88.5%] in Africa in December 2021) and vaccination and infection in others (e.g., 9.6% [8.3% to 11.0%] in June 2020 to 95.9% [92.6% to 97.8%] in December 2021, in European high-income countries [HICs]). After the emergence of Omicron in March 2022, infection-induced seroprevalence rose to 47.9% [41.0% to 54.9%] in Europe HIC and 33.7% [31.6% to 36.0%] in Americas HIC. In 2021 Quarter Three (July to September), median seroprevalence to cumulative incidence ratios ranged from around 2:1 in the Americas and Europe HICs to over 100:1 in Africa (LMICs). Children 0 to 9 years and adults 60+ were at lower risk of seropositivity than adults 20 to 29 (p < 0.001 and p = 0.005, respectively). In a multivariable model using prevaccination data, stringent public health and social measures were associated with lower seroprevalence (p = 0.02). The main limitations of our methodology include that some estimates were driven by certain countries or populations being overrepresented. Conclusions In this study, we observed that global seroprevalence has risen considerably over time and with regional variation; however, over one-third of the global population are seronegative to the SARS-CoV-2 virus. Our estimates of infections based on seroprevalence far exceed reported Coronavirus Disease 2019 (COVID-19) cases. Quality and standardized seroprevalence studies are essential to inform COVID-19 response, particularly in resource-limited regions. Author summary Why was this study done? Serosurveys, or studies capturing information on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antibody prevalence, help us understand true rates of infection, vaccination, and indicators of immunity in the population against the virus causing Coronavirus Disease 2019 (COVID-19) and inform public health decision making. Previous global systematic reviews of seroprevalence have highlighted a lack of standardization in study methods and fewer datasets in some regions like low- and middle-income countries. Recently, in part via WHO's Unity studies, the quantity and quality of available seroprevalence data has increased, providing the opportunity to understand the true extent of exposure to SARS-CoV-2 and differences by demographic groups, region, and time. What did the researchers do and find? We meta-analyzed standardized SARS-CoV-2 seroprevalence studies to estimate the proportion of the global population with antibodies against SARS-CoV-2, the virus causing COVID-19. By September 2021, global SARS-CoV-2 seroprevalence from infection or vaccination was 59.2%, 95% CI [56.1% to 62.2%]. Overall seroprevalence rose steeply in 2021 due to infection in some regions (e.g., 26.6% [24.6 to 28.8] to 86.7% [84.6% to 88.5%] in Africa) and vaccination and infection in others (e.g., 9.6% [8.3% to 11.0%] to 95.9% [92.6% to 97.8%] in Europe high-income countries [HICs]). After the emergence of Omicron in March 2022, infection-induced seroprevalence rose to 47.9% [41.0% to 54.9%] in Europe HIC and 33.7% [31.6% to 36.0%] in Americas HIC. What do these findings mean? Seroprevalence has increased over time, with heterogeneity in dynamics and data robustness between regions. Estimates of COVID-19 infections based on seroprevalence data far exceed reported cases. It remains important to continue investing in serosurveillance to monitor the COVID19 pandemic and prepare for future potential emerging viruses.
引用
收藏
页数:24
相关论文
共 58 条
[1]   Seroprevalence of SARS-CoV-2 antibodies in the general population of Oman: results from four successive nationwide sero-epidemiological surveys [J].
Al-Abri, Seif Salem ;
Al-Wahaibi, Adil ;
Al-Kindi, Hanan ;
Kurup, Padmamohan J. ;
Al-Maqbali, Ali ;
Al-Mayahi, Zayid ;
Al-Tobi, Mohammed Hamed ;
Al-Katheri, Salim Habbash ;
Albusaidi, Sultan ;
Al-Sukaiti, Mahmood Humaid ;
Al Balushi, Ahmed Yar Mohammed ;
Abdelgadir, Iyad Omer ;
Al-Shehi, Nawal ;
Morkos, Essam ;
Al-Maani, Amal ;
Al-Rawahi, Bader ;
Alyaquobi, Fatma ;
Alqayoudhi, Abdullah ;
Al-Harthy, Khalid ;
Al-Khalili, Sulien ;
Al-Rashdi, Azza ;
Al-Shukri, Intisar ;
Al Ghafri, Thamra S. ;
Al-Hashmi, Fatma ;
Al Jassasi, Saeed Mussalam ;
Alshaqsi, Nasser ;
Mitra, Nilanjan ;
Al Aamry, Humaid Suhail ;
Shah, Parag ;
Al Marbouai, Hanan Hassan ;
Al Araimi, Amany Hamed ;
Kair, Ismail Mohammed ;
Al Manji, Asim Mohammed ;
Almallak, Ahmed Said ;
Al Alawi, Fatma Khamis ;
Vaidya, Vidyanand ;
Muqeetullah, Muhammad ;
Alrashdi, Hanan ;
Al Jamoudi, Saud Said Nassir ;
Alshaqsi, Asila ;
Al Sharji, Abdullah ;
Al Shukeiri, Hamida ;
Al-Abri, Badr ;
Al-Rawahi, Sulaiman ;
Al-Lamki, Said H. ;
Al-Manji, Abdulla ;
Al-Jardani, Amina .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 112 :269-277
[2]  
[Anonymous], 2020, COVID 19 GLOB HUM RE
[3]  
[Anonymous], 2021, WHO UNITY GLOBAL SAR
[4]  
Aus AGD of HTG, 2021, POSTM REV COVID 19
[5]   How to perform a meta-analysis with R: a practical tutorial [J].
Balduzzi, Sara ;
Ruecker, Gerta ;
Schwarzer, Guido .
EVIDENCE-BASED MENTAL HEALTH, 2019, 22 (04) :153-160
[6]   SARS-CoV-2 antibody prevalence in Sierra Leone, March 2021: a cross-sectional, nationally representative, age-stratified serosurvey [J].
Barrie, Mohamed Bailor ;
Lakoh, Sulaiman ;
Kelly, J. Daniel ;
Kanu, Joseph Sam ;
Squire, James Sylvester ;
Koroma, Zikan ;
Bah, Silleh ;
Sankoh, Osman ;
Brima, Abdulai ;
Ansumana, Rashid ;
Goldberg, Sarah A. ;
Chitre, Smit ;
Osuagwu, Chidinma ;
Frankfurter, Raphael ;
Maeda, Justin ;
Barekye, Bernard ;
Numbere, Tamuno-Wari ;
Abdulaziz, Mohammed ;
Mounts, Anthony ;
Blanton, Curtis ;
Singh, Tushar ;
Samai, Mohamed ;
Vandi, Mohamed ;
Richardson, Eugene T. .
BMJ GLOBAL HEALTH, 2021, 6 (11)
[7]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[8]  
Beld MJC, 2021, J CLIN MICROBIOL, V59
[9]   Early epidemiological investigations: World Health Organization UNITY protocols provide a standardized and timely international investigation framework during the COVID-19 pandemic [J].
Bergeri, Isabel ;
Lewis, Hannah C. ;
Subissi, Lorenzo ;
Nardone, Anthony ;
Valenciano, Marta ;
Cheng, Brianna ;
Glonti, Ketevan ;
Williams, Bridget ;
Abejirinde, Ibukun-Oluwa Omolade ;
Simniceanu, Alice ;
Cassini, Alessandro ;
Grant, Rebecca ;
Rodriguez, Angel ;
Vicari, Andrea ;
Al Ariqi, Lubna ;
Azim, Tasnim ;
Wijesinghe, Pushpa Ranjan ;
Rajatonirina, Soatiana Cathycia ;
Okeibunor, Joseph Chukwudi ;
Le, Linh-Vi ;
Katz, Mark ;
Vaughan, Aisling ;
Jorgensen, Pernille ;
Freidl, Gudrun ;
Pebody, Richard ;
Van Kerkhove, Maria D. .
INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2022, 16 (01) :7-13
[10]   Quantification of SARS-CoV-2 neutralizing antibody by wild-type plaque reduction neutralization, microneutralization and pseudotyped virus neutralization assays [J].
Bewley, Kevin R. ;
Coombes, Naomi S. ;
Gagnon, Luc ;
McInroy, Lorna ;
Baker, Natalie ;
Shaik, Imam ;
St-Jean, Julien R. ;
St-Amant, Natalie ;
Buttigieg, Karen R. ;
Humphries, Holly E. ;
Godwin, Kerry J. ;
Brunt, Emily ;
Allen, Lauren ;
Leung, Stephanie ;
Brown, Phillip J. ;
Penn, Elizabeth J. ;
Thomas, Kelly ;
Kulnis, Greg ;
Hallis, Bassam ;
Carroll, Miles ;
Funnell, Simon ;
Charlton, Sue .
NATURE PROTOCOLS, 2021, 16 (06) :3114-+