Data on social and health vulnerability in rural India: A case of covid-19.
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ABSTRACT:
SUBMITTER: Singh S
PROVIDER: S-EPMC7358164 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The globally fast-spreading novel coronavirus disease (COVID-19) is now testing the abilities of all countries to manage its widespread implications on public health. To effectively contain its impacts, a nation-wide temporary lockdown was enforced in India. The resultant panic buying and stockpiling incidents together with spread of misinformation created a sense of food insecurity at local level. This paper discusses a specific case of Nagpur from the worst affected Maharashtra state of India, wherein the urban-rural food supply chains were reportedly disrupted. Based on formal interviews with local government officials, a month-long timeline of COVID-19 outbreak in Nagpur was studied along with the consequent government initiatives for maintaining public health and food supply. While the city residents were confined to their homes, this study then assessed their perceived food security at household level, along with their "Immediate Concerns" and "Key Information Sources". Through online surveys at two different time intervals, the concerns of "Food and Grocery" were found to be rising, and "Government Apps and Websites" were identified as the most reliable source of information. Based on the research findings, the authors further suggest specific policy recommendations for addressing the immediate and long-term concerns related to food systems in Nagpur.
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2022-02-22 | GSE196822 | GEO
Project description:Complex environmental, economic, and social conditions in the places we live provide strong cues to our longevity, livelihood, and well-being. Although often distinct and evolving relatively independently, health disparity, social vulnerability and environmental justice research and practice intertwine and inform one another. Together, they increasingly provide evidence of how social processes intensify disasters almost predictably giving rise to inequitable disruptions and consequences. The domino and cumulative effects of cascading disasters invariably reveal inequities through differential impacts and recovery opportunities across communities and subgroups of people. Not only do cascading disasters reveal and produce inequitable effects, the cascade itself can emerge out of compounded nested social structures. Drawing on, and integrating, theory and practice from social vulnerability, health inequity, and environmental justice, this paper presents a comprehensive conceptual model of cascading disasters that offers a people-centric lens. The CHASMS conceptual model (Cascading Hazards to disAsters that are Socially constructed eMerging out of Social Vulnerability) interrogates the tension between local communities and the larger structural forces that produce social inequities at multiple levels, capturing how those inequities lead to cascading disasters. We apply the model to COVID-19 as an illustration of how underlying inequities give rise to foreseeable inequitable outcomes, emphasizing the U.S. experience. We offer Kenya and Puerto Rico as examples of cumulative effects and possible cascades when responding to other events in the shadow of COVID-19. COVID-19 has vividly exposed the dynamic, complex, and intense relevance of placing social conditions and structures at the forefront of cascading disaster inquiry and practice. The intensity of social disruption and the continuation of the pandemic will, no doubt, perpetuate and magnify chasms of injustice.
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Project description:The COVID-19 pandemic has demanded governments and diverse organizations to work on strategies to prepare and help communities. Increasing recognition of the importance of identifying vulnerable populations has raised a demand for better tools. One of these tools is the Social Vulnerability Index (SVI). The SVI was created in 2011 to identify and plan assistance for socially vulnerable populations during hazardous events, by providing disaster management personnel information to target specific areas. We aimed to evaluate and determine the social vulnerability in different provinces and districts of Peru in the context of the COVID-19 pandemic using an adapted version of the SVI index. Ecological, observational, and cross-sectional study was conducted. We adapted the SVI and collected indicators related to COVID-19. We organized and analyzed the population data of the 196 provinces of Peru, using data from government institutions. We found a distribution of high and very high SVI in the mountainous areas of Peru. High and very high social vulnerability indexes, due to the presence of some or all the variables were predominantly distributed in the provinces located in the southern and highlands of the country. The association between mortality rate and social SVI-COVID19 was inverse, the higher the vulnerability, the lower the mortality. Our results identify that the provinces with high and very high vulnerability indexes are mostly located in rural areas nearby the Andes Mountains, not having a direct correlation with COVID-19 mortality.
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