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.


中文翻译：

---

监测印度 SARS-CoV-2 感染传播趋势的国家血清监测：基于社区的监测方案。



对严重急性呼吸综合征-冠状病毒-2 (SARS-CoV-2) 进行基于人群的血清监测将估计和监测成人一般人群的感染趋势，确定社会人口危险因素并描绘感染的地理传播。为此，将进行一项系列横断面调查，样本量为 24,000 人，平均分布在根据报告的 COVID-19 病例发生率分类的四个地区。六十个地区将被纳入调查范围。同时，还将在10个高负担热点城市开展调查。将使用基于 ELISA 的抗体测试。数据收集将使用基于移动的应用程序完成。在调整人口特征和抗体测试表现后，将汇总四个阶层中每个地区的患病率，以估计 COVID-19 感染的人口患病率，对于热点城市也是如此。将使用该血清阳性率来调整各地区和热点城市报告的病例总数，以估计该地区的预期感染人数。定期重复进行的这种血清调查也可以指导各个地区的遏制措施。应根据各州具体的疾病负担、优先事项和资源背景，指导当前 COVID-19 疫情的多种监测方案的使用。