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首页> 外文期刊>Data in Brief >Heterogeneous patterns of COVID-19 transmission in an Urban set up – sero-epidemiological survey data from Ujjain, Madhya Pradesh (a central Indian city)
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Heterogeneous patterns of COVID-19 transmission in an Urban set up – sero-epidemiological survey data from Ujjain, Madhya Pradesh (a central Indian city)

机译：来自Ujjain，Madhya Pradesh（印度中心城市中央城市）的城市建立 - 血清流行病学调查数据的异质模式

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摘要

In the wake of rising number of SARS-CoV-2 cases, the Government of India had placed mass-quarantine measures, termed as “lockdown” measures from end-March 2020. The subsequent phase-wise relaxation from July 2020 led to a surge in the number of cases. This necessitated an understanding of the true burden of SARS-CoV-2 in the community. Consequently, a sero-epidemiological survey was carried out in the central Indian city of Ujjain, Madhya Pradesh. This article details the processes of data acquisition, compilation, handling, and information derivation from the survey. Information on socio-demographic and serological variables were collected from 4,883 participants using a multi-stage stratified random sampling method. Appropriate weightage was calculated for each participant as sampling fraction derived from Primary Sampling Unit (PSU), Secondary Sampling Unit (SSU) and Tertiary Sampling Unit (TSU). The weightage was then applied to the data to adjust the findings at population level. The comprehensive and robust methodology employed here may act as a model for similar future endeavours. At the same time, the dataset can also be relevant for researchers in fields such as data science, epidemiology, virology and earth modelling.
机译：在SARS-COV-2案件数量上升之后，印度政府将大规模检疫措施放置在2020年至3月18日期的“锁定”措施中。从7月2020年7月开始的后续逐步放松导致了激增在案件的数量。这需要了解社区中SARS-COV-2的真正负担。因此，在Madhya Pradesh中央印度城市乌吉州市中心进行了血清流行病学调查。本文详细介绍了调查中的数据采集，编译，处理和信息推导过程。使用多阶段分层随机采样方法从4,883名参与者收集有关社会人口和血清学变量的信息。每个参与者计算适当的重量，作为从主采样单元（PSU），二次采样单元（SSU）和三级采样单元（TSU）导出的采样级分。然后将重量应用于数据以调整人口水平的结果。这里采用的全面和强大的方法可以作为类似未来努力的模型。与此同时，数据集也可以与诸如数据科学，流行病学，病毒学和地球建模等领域的研究人员相关。

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