National sero-surveillance to monitor the trend of SARS-CoV-2 infection transmission in India: Protocol for community-based surveillance

Autor: Swarup Sarkar, Sujeet Kumar Singh, V Saravana Kumar, Ravindra Mohan Pandey, Suman Kanungo, Jeromie Wesley Vivian Thangaraj, C. P. Girish Kumar, Pranab Chatterjee, D C S Reddy, Kiran Rade, P. Manickam, Manoj V Murhekar, Muthusamy Santhosh Kumar, J P Muliyi, Sanjay Zodpey, Raman R. Gangakhedkar, Naman K. Shah, Shashi Kant, Tarun Bhatnagar, Giridhara R Babu
Rok vydání: 2020
Předmět:
0301 basic medicine
Research design
Male
Cross-sectional study
030106 microbiology
Population
Pneumonia
Viral
lcsh:Medicine
India
Antibodies
Viral
General Biochemistry
Genetics and Molecular Biology
03 medical and health sciences
Betacoronavirus
0302 clinical medicine
Seroepidemiologic Studies
antibody - covid-19 - hotspot - sars-cov-2 - serial cross-sectional - seroprevalence - surveillance - trend
Environmental health
Pandemic
Prevalence
Protocol
Seroprevalence
Humans
030212 general & internal medicine
education
Pandemics
Disease burden
Antibody
education.field_of_study
Data collection
seroprevalence
SARS-CoV-2
lcsh:R
COVID-19
General Medicine
serial cross-sectional
Geography
Cross-Sectional Studies
trend
Sample size determination
Research Design
Population Surveillance
surveillance
Female
hotspot
Coronavirus Infections
Zdroj: The Indian Journal of Medical Research
Indian Journal of Medical Research, Vol 151, Iss 5, Pp 419-423 (2020)
ISSN: 0971-5916
Popis: Conducting population-based serosurveillance for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) will estimate and monitor the trend of infection in the adult general population, determine the socio-demographic risk factors and delineate the geographical spread of the infection. For this purpose, a serial cross-sectional survey would be conducted with a sample size of 24,000 distributed equally across four strata of districts categorized on the basis of the incidence of reported cases of COVID-19. Sixty districts will be included in the survey. Simultaneously, the survey will be done in 10 high-burden hotspot cities. ELISA-based antibody tests would be used. Data collection will be done using a mobile-based application. Prevalence from the group of districts in each of the four strata will be pooled to estimate the population prevalence of COVID-19 infection, and similarly for the hotspot cities, after adjusting for demographic characteristics and antibody test performance. The total number of reported cases in the districts and hotspot cities will be adjusted using this seroprevalence to estimate the expected number of infected individuals in the area. Such serosurveys repeated at regular intervals can also guide containment measures in respective areas. State-specific context of disease burden, priorities and resources should guide the use of multifarious surveillance options for the current COVID-19 epidemic.
Databáze: OpenAIRE
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