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Conducting nationwide cohort COVID-19 serology surveys on a nation with limited resources and decentralized governance: Evidence from Indonesia.
Farid, Muhammad Noor; Jusril, Hafizah; Riono, Pandu; Wahyuningsih, Wiji; Utami, Elmarizha Sekar; Ariawan, Iwan.
Affiliation
  • Farid MN; Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
  • Jusril H; Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
  • Riono P; Reconstra Utama Integra, Jakarta, Indonesia.
  • Wahyuningsih W; Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
  • Utami ES; Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
  • Wirabrata; Reconstra Utama Integra, Jakarta, Indonesia.
  • Ariawan I; Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
MethodsX ; 12: 102609, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38379722
ABSTRACT
Knowing the level of SARS-CoV-2 transmission is crucial for decision-making on Coronavirus disease (COVID-19) handling. Guidelines for measuring SARS-CoV-2 antibodies to estimate seroprevalence are conceptually straightforward and internationally available. However, challenges exist for developing countries with limited laboratory capacity, diverse geographical topography, fragmented health information systems and limited resources such as Indonesia. One year after the first case was confirmed in Indonesia, approximately ten infections were undiagnosed or underreported for every reported case. Under those circumstances, we described the method and lessons learned in conducting nationwide cohort COVID-19 serology surveys in a nation with limited resources, such as Indonesia. •Strong cross-sectoral collaboration between ministries and levels of governance (central and subnational) enables strategic use of civil registration database for efficient sampling.•All agglomeration districts (highly dense population and urban area) were selected as study sites, and additional non-agglomeration districts were selected using probability-proportional-to-size (PPS).•Involving the experienced phlebotomist in community health service provider and district laboratory cut down preparation time.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MethodsX Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MethodsX Year: 2024 Document type: Article Affiliation country: Country of publication: