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Nationwide Population-Based Surveys of Iranian Covid-19 Serological Surveillance (Ics) Program: The Surveys Protocol Publisher



Khalagi K1 ; Gharibzadeh S2 ; Khalili D3, 4 ; Samiee SM5 ; Hashemi SM6 ; Aghamohamadi S7 ; Roodaki MMMA5 ; Tayeri K8 ; Tabar HN9 ; Azadmanesh K10 ; Tabrizi JS11 ; Mohammad K12 ; Goudarzi S13 ; Hajipour F14 Show All Authors
Authors
  1. Khalagi K1
  2. Gharibzadeh S2
  3. Khalili D3, 4
  4. Samiee SM5
  5. Hashemi SM6
  6. Aghamohamadi S7
  7. Roodaki MMMA5
  8. Tayeri K8
  9. Tabar HN9
  10. Azadmanesh K10
  11. Tabrizi JS11
  12. Mohammad K12
  13. Goudarzi S13
  14. Hajipour F14
  15. Namaki S6
  16. Raeisi A15
  17. Ostovar A1
Show Affiliations
Authors Affiliations
  1. 1. Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
  3. 3. Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  4. 4. Department of Biostatistics and Epidemiology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  5. 5. Reference Health Laboratory, Ministry of Health and Medical Education, Tehran, Iran
  6. 6. Departments of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  7. 7. Deputy of Health, Ministry of Health and Medical Education, Tehran, Iran
  8. 8. National HIV/AIDS care and treatment advisor, Center for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran
  9. 9. HIV/STI Control Department, Center for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran
  10. 10. Virology Deportment, Pasteur Institute of Iran, Tehran, Iran
  11. 11. Tabriz Health Services Management Research Center, Iranian Center of Excellence in Health Management, Tabriz University of Medical Sciences, Tehran, Iran
  12. 12. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  13. 13. Department of Epidemiology and Biostatistics, Pasteur Institute of Iran, Tehran, Iran
  14. 14. Endocrinology Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  15. 15. School of Medicine, hiraz University of Medical Sciences, Shiraz, Iran

Source: Medical Journal of the Islamic Republic of Iran Published:2021


Abstract

Background: Serological surveillance of COVID-19 through conducting repetitive population-based surveys can be useful in estimating and monitoring changes in the prevalence of infection across the country. This paper presents the protocol of nationwide population-based surveys of the Iranian COVID-19 Serological Surveillance (ICS) program. Methods: The target population of the surveys is all individuals ≥6 years in Iran. Stratified random sampling will be used to select participants from those registered in the primary health care electronic record systems in Iran. The strata are the 31 provinces of the country, in which sampling will be done through simple random sampling. The sample size is estimated 858 individuals for each province (except for Tehran province, which is 2574) at the first survey. It will be recalculated for the next surveys based on the findings of the first survey. The participants will be invited by the community health workers to the safe blood sampling centers at the district level. After obtaining written informed consent, 10 mL of venous blood will be taken from the participants. The blood samples will be transferred to selected reference laboratories in order to test IgG and IgM antibodies against COVID-19 using an Iranian SARS-CoV-2 ELISA Kit (Pishtaz Teb). A serologically positive test is defined as a positive IgG, IgM, or both. After adjusting for the measurement error of the laboratory test, nonresponse bias, and sampling design, the prevalence of COVID-19 will be estimated at the provincial and national levels. Also, the approximate incidence rate of infection will be calculated based on the data of both consecutive surveys. Conclusion: The implementation of these surveys will provide a comprehensive and clear picture of the magnitude of COVID-19 infection and its trend over time for health policymakers at the national and subnational levels. © Iran University of Medical Sciences
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