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A Counterfactual Graphical Model Reveals Economic and Sociodemographic Variables as Key Determinants of Country-Wise COVID-19 Burden
Tavpritesh Sethi; Saurabh Kedia; Raghav Awasthi; Rakesh Lodha; Vineet Ahuja.
Affiliation
  • Tavpritesh Sethi; IIIT-Delhi
  • Saurabh Kedia; All India Institute of Medical Sciences
  • Raghav Awasthi; IIIT D
  • Rakesh Lodha; All India Institute of Medical Sciences
  • Vineet Ahuja; All India Institute of Medical Sciences
Preprint in English | medRxiv | ID: ppmedrxiv-20132563
ABSTRACT
ImportanceInsights into the country-wise differences in COVID-19 burden can impact the policies being developed to control disease spread. ObjectivePresent study evaluated the possible socio-economic and health related factors (and their temporal consistency) determining the disease burden of COVID-19. DesignA retrospective analysis for identifying associations of COVID-19 burden. SettingData on COVID-19 statistics (number of cases, tests and deaths per million) was extracted from the website https//www.worldometers.info/coronavirus/ on 10th April and 12th May. Variables obtained to estimate the possible determinants for COVID-19 burden included economic-gross domestic product; socio-demographic-Sustainable Development Goals, SDGs indicators related to health systems, percentage Chinese diaspora; and COVID-19 trajectory-date of first case in each country, days between first reported case and 10th April, days between 100th and 1000th case, and government response stringency index (GRSI). Main outcomes and MeasuresCOVID-19 burden was modeled using economic and socio-demographic determinants. Consistency of inferences for two time points at three levels of increasing statistical rigor using (i) Spearman correlations, (ii) Bayesian probabilistic graphical model, and (iii) counterfactual impact was evaluated. ResultsCountries economy (reflected by GDP), mainly through the testing rates, was the major and temporally consistent determinant of COVID-19 burden in the model. Reproduction number of COVID-19 was lower where mortality due to water, sanitation, and hygiene (WaSH) was higher, thus strengthening the hygiene hypothesis. There was no association between vaccination status or tuberculosis incidence and COVID burden, refuting the claims over BCG vaccination as a possible factor against COVID-19 trajectory. Conclusion and RelevanceCountries economy, through testing power, was the major determinant of COVID-19 burden. There was weak evidence for hygiene hypothesis as a protective factor against COVID-19.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Etiology study / Experimental_studies / Observational study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Etiology study / Experimental_studies / Observational study Language: English Year: 2020 Document type: Preprint
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