key: cord-331394-zie0tmvt
authors: Singh, Surendra
title: Data on social and health vulnerability in rural India: A Case of Covid-19
date: 2020-07-14
journal: Data Brief
DOI: 10.1016/j.dib.2020.106020
sha: 
doc_id: 331394
cord_uid: zie0tmvt

An attempt was made to understand the gap between health and social vulnerability to Covid-19 pandemic. By using multistage sampling technique, 150 samples were collected during February and March 2020. Data highlight that households are highly exposed to novel Covid-19 and also equally sensitive to inadequate and poor availability and accessibility of clean water, sanitation and health care system. Data suggest a grass root awareness programme (ex-ante preventive measures) in the regional languages; increase public health budget to meet the demand and improve the supply chain; establishment of more physical and human infrastructure in long run; comprehensive plan to ensure continuous water supply in the rural areas.

Social Science (Economics)

Household's livelihood vulnerability to Type of data Table  Figure How data were acquired  After in-depth discussion with doctors, academicians, a structured schedule was develop. Questions were framed in such a way to capture the household's perception to Covid-19, such as do you perceived that frequency of health-hazards increased over past five years.  Face-to-face interview was conducted.  Excel 2013 software was used for data coding, cleaning and analysis.

Data are in raw format (Excel 2013 ). An excel file with raw data has been uploaded Parameters for data collection

Household's responses such as do you perceived that frequency of health-hazards increased over past five years was converted into percentage form at villagelevel. After that, percentage values were converted into index scores using Hahn et al., 2009 methodology.

 After taking expert advice from doctors, academicians and public administration, a structured scheduled was prepared to elicit household's perception to Covid-19, their socioeconomic status and curative and preventive measures they have taken.  Field survey was undertaken during February-March 2020. Survey was conducted during nationwide lockdown. Therefore, special permission for field survey data was taken to local administration (district collector) to elicit the data. Personal protection equipment was used as a preventive measure. Head of village (i.e., secretory) was contacted for the sample survey.  A multistage sampling technique was opted to collect household-level data. In the first step, most populous state out of 36 states and union territories was selected, i.e., Uttar Pradesh. In the second step, 1 district out of 72 district was randomly selected, i.e. Mathura. In the third step, 5 out of 254 villages were randomly selected, i.e., Virjapur, Nawada, Narholi, Adooki and Bad. In the fourth step, 30 samples from each village were collected using random sampling technique. Thus total 150 samples were collected in five villages of Mathura district to elicit the households' perception of Covid-19 regarding preventive and curative measures used by the villagers to cope with Covid-19.

City/Town/Region: Mathura, Uttar Pradesh Country: India Latitude and longitude for collected samples/data: 27.49 0 N, 77.67 0 E Data accessibility Raw data has submitted

 These data are unique and relevant for health policy for rural India because they provide village-level vulnerability status of households to health emergency, i.e., Covid-19 pandemic.

 These data are useful for social scientist and policy makers because they highlight that how a rural-household responded against health emergency and how a household optimize their resources to cope with it.

 By using these data, policymaker can develop a rapid health contingency response plan to deal with any future health emergency, like Covid-19 pandemic.

 The additional value of these data are that they cover socioeconomic dimension of households, their coping behavior and reliance on the public health system against to Covid-19 pandemic.

After taking expert advice from doctors, academicians and public administration, a structured scheduled was prepared to elicit household's perception to Covid-19, their socioeconomic status and curative and preventive measures they have taken. Field survey was undertaken during February-March 2020. Survey was conducted during nationwide lockdown. Therefore, special permission for field survey data was taken to local administration (district collector) to elicit the data. Personal protection equipment was used as a preventive measure. Head of village (i.e., secretory) was contacted for the sample survey. Face-to-face interview was conducted. A multistage sampling technique was adopted to collect householdlevel data. In first step, most populous state out of 36 states and union territories was selected, i.e., Uttar Pradesh. In second step, 1 district out of 72 district was randomly selected, i.e. Mathura. In third step, 5 out of 254 villages were randomly selected, i.e., Virjapur, Nawada, Narholi, Adooki and Bad. In fourth step, 30 samples from each village were collected using random sampling technique. Thus total 150 samples were collected in five villages of Mathura district to elicit the households' perception of Covid-19 regarding preventive and curative measures used by the villagers to cope with Covid-19.

The main aim of these data was to integrate both health and social vulnerability indicators in Livelihood Vulnerability Index (LVI) applicable at any scale and capable of identifying household's vulnerability and the most vulnerable members of society. Face-to-face interview was conducted to collect household's responses to Covid-19. After in-depth discussion with doctors and mainstream researchers; questions were categorically asked to the respondents that do you perceived the frequencies of health-hazards have increased over past five years. Thereafter, data was codded into numerical values, such as 1 for household has perceived that frequencies of health-hazards have increased over past five years, while 2 for household don't perceived that frequencies of health-hazards have increased over past five years. District average was used to develop exposure, sensitivity and adaptive capacity indices for different villages. Further, Hahn et al. (2009) . 1) . Also, household have knowledge of social distancing (i.e., 88.23%), while households marginally has awareness about testing procedure of Covid-19.

Additionally, about 80.23% of household went of self-quarantine, while about 34.23% of households have consulted to doctors over Covid-19 (Fig. 2) . As government has imposed 21 days complete lockdown, except essential items, about 29.27% of households have stored food items to deal with health emergency. By adopting health advisory issued by World Health Organization (2020), about 15.23% of households have taken balance diet, while about 12.23% of households have taken health insurance which covers Covid-19. Moreover, about 1.12% of households have tested to Covid-19. In totality, in the absence of effective vaccine, preventing measures, such as self-quarantine was first choice to deal with Covid-19. Data of exposure indices for households belonging to the Virjapur village indicate that they are highly exposed to Covid-19 than that of other villages (Table 1) . Data of sensitivity indices for households belonging to the Virjapur village also relatively high, whereas these households had a lower adaptive capacity. In totality, households belonging to Virjapur village are relatively highly vulnerable than others. 

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