Healthcare Capacity, Health Expenditure, and Civil Society as Predictors of COVID-19 Case Fatalities: A Global Analysis
Jahidur Rahman Khan; Nabil Awan; Md. Mazharul Islam; Olav Muurlink · 2020 · Frontiers in Public Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background The rapid growth in cases of COVID-19 has challenged national healthcare capacity, testing systems at an advanced ICU, and public health infrastructure level. This global study evaluates the association between multi-factorial healthcare capacity and case fatality of COVID-19 patients by adjusting for demographic, health expenditure, population density and prior burden of noncommunicable disease. It also explores the impact of government relationships with civil society as a predictor of infection and mortality rates. Methods Data were extracted from the Johns Hopkins University dat
Abstract by Jahidur Rahman Khan; Nabil Awan; Md. Mazharul Islam; Olav Muurlink, Frontiers in Public Health (2020) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3389/fpubh.2020.00347