High SARS-CoV-2 Seroprevalence in Rural Peru, 2021: a Cross-Sectional Population-Based Study

被引:10
作者
Moreira-Soto, Andres [1 ,2 ,3 ,4 ]
Pachamora Diaz, Johanna Maribel [5 ]
Gonzalez-Auza, Lilian [1 ,2 ,3 ]
Merino Merino, Xiomara Jeanleny [6 ,7 ]
Schwalb, Alvaro [6 ,7 ]
Drosten, Christian [1 ,2 ,3 ]
Gotuzzo, Eduardo [6 ,7 ]
Talledo, Michael [6 ,7 ]
Ramirez, Heriberto Arevalo [5 ]
Delgado, Roxana Peralta [5 ]
Vargas, Spassky Bocanegra [8 ]
Drexler, Jan Felix [1 ,2 ,3 ,9 ]
机构
[1] Charite Univ Med Berlin, Berlin, Germany
[2] Free Univ Berlin, Berlin, Germany
[3] Humboldt Univ, Inst Virol, Berlin, Germany
[4] Univ Costa Rica, Fac Microbiol, Virol CIET, San Jose, Costa Rica
[5] Direcc Reg Salud San Martin, Moyobamba, Peru
[6] Univ Peruana Cayetano Heredia, Inst Med Trop Alexander von Humboldt, Lima, Peru
[7] Univ Peruana Cayetano Heredia, Fac Med, Dept Med, Lima, Peru
[8] Moyobamba Hosp, Moyobamba, Peru
[9] German Ctr Infect Res DZIF, Associated Partner Site Charite, Berlin, Germany
关键词
SARS-CoV-2; Peru; COVID-19; serology; seroprevalence; rural; Latin America;
D O I
10.1128/mSphere.00685-21
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Latin America has been severely affected by the COVID-19 pandemic. The COVID-19 burden in rural settings in Latin America is unclear. We performed a cross-sectional, population-based, random-selection SARS-CoV-2 serologic study during March 2021 in the rural population of San Martin region, northern Peru. In total, 563 persons from 288 houses across 10 provinces were enrolled, reaching 0.2% of the total rural population of San Martin. Screening for SARS-CoV-2 IgG antibodies was done using a chemiluminescence immunoassay (CLIA), and reactive sera were confirmed using a SARS-CoV-2 surrogate virus neutralization test (sVNT). Validation of the testing algorithm using prepandemic sera from two regions of Peru showed false-positive results in the CLIA (23/84 sera; 27%) but not in the sVNT, highlighting the pitfalls of SARS-CoV-2 antibody testing in tropical regions and the high specificity of the two-step algorithm used in this study. An overall 59.0% seroprevalence (95% confidence interval [CI], 55 to 63%) corroborated intense SARS-CoV-2 spread in San Martin. Seroprevalence rates between the 10 provinces varied from 41.3 to 74.0% (95% CI, 30 to 84%). Higher seroprevalence was not associated with population size, population density, surface area, mean altitude, or poverty index in Spearman correlations. Seroprevalence and reported incidence diverged substantially between provinces, suggesting regional biases of COVID-19 surveillance data. Potentially, limited health care access due to environmental, economic, and cultural factors might lead to undetected infections in rural populations. Additionally, test avoidance to evade mandatory quarantine might affect rural regions more than urban regions. Serologic diagnostics should be pursued in resource-limited settings to inform country-level surveillance and vaccination strategies and to support control measures for COVID-19. IMPORTANCE Latin America is a global hot spot of the COVID-19 pandemic. Serologic studies in Latin America have been mostly performed in urban settings. Rural populations comprise 20% of the total Latin American population. Nevertheless, information on COVID-19 spread in rural settings is scarce. Using a representative population-based seroprevalence study, we detected a high seroprevalence in rural populations in San Martin, northern Peru, in 2021, reaching 41 to 74%. However, seroprevalence and reported incidence diverged substantially between regions, potentially due to limited health care access or test avoidance due to mandatory quarantine. Our results suggest that rural populations are highly affected by SARS-CoV-2 even though they are sociodemographically distinct from urban populations and that highly specific serological diagnostics should be performed in resource-limited settings to support public health strategies of COVID-19 control.
引用
收藏
页数:7
相关论文
共 21 条
[1]   Seroprevalence of anti-SARS-CoV-2 antibodies in Iquitos, Peru in July and August, 2020: a population-based study [J].
Alvarez-Antonio, Carlos ;
Meza-Sanchez, Graciela ;
Calampa, Carlos ;
Casanova, Wilma ;
Carey, Cristiam ;
Alava, Freddy ;
Rodriguez-Ferrucci, Hugo ;
Quispe, Antonio M. .
LANCET GLOBAL HEALTH, 2021, 9 (07) :E925-E931
[2]   Rural and urban differences in COVID-19 prevention behaviors [J].
Callaghan, Timothy ;
Lueck, Jennifer A. ;
Trujillo, Kristin Lunz ;
Ferdinand, Alva O. .
JOURNAL OF RURAL HEALTH, 2021, 37 (02) :287-295
[3]   COVID-19 Death Rates Are Higher in Rural Counties With Larger Shares of Blacks and Hispanics [J].
Cheng, Kent Jason G. ;
Sun, Yue ;
Monnat, Shannon M. .
JOURNAL OF RURAL HEALTH, 2020, 36 (04) :602-608
[4]   The challenges of containing SARS-CoV-2 via test-trace-and-isolate [J].
Contreras, Sebastian ;
Dehning, Jonas ;
Loidolt, Matthias ;
Zierenberg, Johannes ;
Spitzner, F. Paul ;
Urrea-Quintero, Jorge H. ;
Mohr, Sebastian B. ;
Wilczek, Michael ;
Wibral, Michael ;
Priesemann, Viola .
NATURE COMMUNICATIONS, 2021, 12 (01)
[5]   SARS-CoV-2 in Rural Latin America. A Population-based Study in Coastal Ecuador [J].
Del Brutto, Oscar H. ;
Costa, Aldo F. ;
Mera, Robertino M. ;
Recalde, Bettsy Y. ;
Bustos, Javier A. ;
Garcia, Hector H. .
CLINICAL INFECTIOUS DISEASES, 2021, 73 (02) :314-317
[6]   Influence of population density, temperature, and absolute humidity on spread and decay durations of COVID-19: A comparative study of scenarios in China, England, Germany, and Japan [J].
Diao, Yinliang ;
Kodera, Sachiko ;
Anzai, Daisuke ;
Gomez-Tames, Jose ;
Rashed, Essam A. ;
Hirata, Akimasa .
ONE HEALTH, 2021, 12
[7]   SARS-CoV-2 seroprevalence study in Lambayeque, Peru. June-July 2020 [J].
Diaz-Velez, Cristian ;
Failoc-Rojas, Virgilio E. ;
Valladares-Garrido, Mario J. ;
Colchado, Juan ;
Carrera-Acosta, Lourdes ;
Becerra, Mileny ;
Moreno Paico, Dafne ;
Thom Ocampo-Salazar, Elgin .
PEERJ, 2021, 9
[8]   Robustness of Serologic Investigations for Chikungunya and Mayaro Viruses following Coemergence [J].
Fischer, Carlo ;
Bozza, Fernando ;
Merino Merino, Xiomara Jeanleny ;
Pedroso, Celia ;
de Oliveira Filho, Edmilson F. ;
Moreira-Soto, Andres ;
Schwalb, Alvaro ;
de Lamballerie, Xavier ;
Netto, Eduardo Martins ;
Bozza, Patricia T. ;
Sarno, Manoel ;
Brites, Carlos ;
Gotuzzo, Eduardo ;
Talledo, Michael ;
Drexler, Jan Felix .
MSPHERE, 2020, 5 (01)
[9]   Serologic Cross-Reactivity of SARS-CoV-2 with Endemic and Seasonal Betacoronaviruses [J].
Hicks, Jennifer ;
Klumpp-Thomas, Carleen ;
Kalish, Heather ;
Shunmugavel, Anandakumar ;
Mehalko, Jennifer ;
Denson, John-Paul ;
Snead, Kelly R. ;
Drew, Matthew ;
Corbett, Kizzmekia S. ;
Graham, Barney S. ;
Hall, Matthew D. ;
Memoli, Matthew J. ;
Esposito, Dominic ;
Sadtler, Kaitlyn .
JOURNAL OF CLINICAL IMMUNOLOGY, 2021, 41 (05) :906-913
[10]   Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina [J].
Huang, Qian ;
Jackson, Sarah ;
Derakhshan, Sahar ;
Lee, Logan ;
Pham, Erika ;
Jackson, Amber ;
Cutter, Susan L. .
PLOS ONE, 2021, 16 (02)