EventsThe 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Published
This submission belongs to the session I. Public Health Statistics and Risk Assessment of the event The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Published date
11 Jan, 2021
Citation
Sthefany Villa-Díaz, Nathalia Solis-Oñate, Ronal Jackson Sierra-Parada, Luis Camilo Blanco-Becerra, Analysis of the risk of contagion by COVID-19 taking into account the social determinants of health in Bogotá between February and August 2020., in Proceedings of The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic, 11 January–25 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/ECERPH-3-08996
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Analysis of the risk of contagion by COVID-19 taking into account the social determinants of health in Bogotá between February and August 2020.

Ronal Jackson Sierra-Parada 1
1. Faculty of Environmental Engineering, Universidad Santo Tomás, Bogotá, D.C, Colombia
2. Faculty of Environmental Engineering, Universidad Santo Tomás, Bogotá, D.C, Colombia, Colombia
3. Master of Public Health, Universidad Santo Tomás, Bogotá, D.C, Colombia
Abstract

This spatial epidemiology study was carried out to evaluate the risk of contracting COVID-19 taking into account the Social Determinants of Health (DSS). The study demonstrated a strong relationship between the data from the model created in the risk analysis and the infections by locality registered during the months of February to August 2020. Kennedy, Bosa and Engativá were the suburbs that presented a higher risk of contagion of COVID-19 compared to the rest of the city.


Although for the study of Bogotá the same variables and weights were considered for the estimation of risk, the study found that no area of ​​the city was excluded from presenting the virus. However, areas where there was a higher risk of contracting the virus depended on the characteristics of the local population, the number of reproduction of the virus by suburbs and the applicable poverty rates. With the results obtained and the model implemented, is possible to verify what was established in the 90s regarding the term Syndemia is verified, due to the synergy between two diseases, in this case COVID-19 and base comorbidities present in the population, added to the Social Determinants of Health, which allow a holistic approach to management and prevention measures against contagion, starting in areas of extreme poverty.

Keywords
Social Determinants of Health
risk
vulnerability analysis
COVID-19
SARS-CoV-2
syndemic
transmission.
Manuscript
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