Identifying Nontraditional Epidemic Disease Risk Factors Associated with Major Health Events from World Health Organization and World Bank Open Data (Preprint)

Abstract

Health events emerge from host, community, environment, and pathogen factors - forecasting epidemics is a complex task. We describe an exploratory analysis to identify economic risk factors that could aid epidemic risk assessment. A line list was constructed using the World Health Organization Disease Outbreaks News (2016-2018) and economic indicators from the World Bank. Poisson regression employing forward imputations was used to establish relationships with the frequency with which countries reported public health events. Economic indicators demonstrated strong performance appropriate for further assessment in surveillance programming. In our analysis, three economic indicators were significantly associated to event reporting: how much the countrys urban population changed, its average forest area, and a novel economic indicator we developed that assessed how much the gross domestic product changed per capita. Other economic indicators performed less well: changes in total, female, urban, and rural population sizes; population density; net migration; change in per cent forest area; total forest area; and another novel indicator, change in percent of trade as a fraction of the total economy. We then undertook a further analysis of the start of the current COVID-19 pandemic that revealed similar associations, but confounding by global disease burden is likely. Continued development of forecasting approaches capturing information relevant to whole-of-society factors (e.g., economic factors as assessed in our study) could improve the risk management process through earlier hazard identification and inform strategic decision processes in multisectoral strategies to preventing, detecting, and responding to pandemic threat events.

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Document Details

Document Type
Technical Report
Publication Date
Jul 09, 2021
Accession Number
AD1146706

Entities

People

  • Cara Olsen
  • David M. Brett-major
  • Eric C Garges
  • Roberta Lugo-robles

Organizations

  • Uniformed Services University of the Health Sciences

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Covid-19
  • Data Science
  • Data Sets
  • Databases
  • Dengue
  • Disease Outbreaks
  • Environment
  • Epidemics
  • Health
  • Health Services
  • Hygiene
  • Infectious Diseases
  • Information Science
  • Mers-Cov
  • Monte Carlo Method
  • Public Health
  • Risk Management
  • Virus Diseases
  • Viruses
  • Zoonoses

Readers

  • Economics
  • Infectious Disease/Epidemiology
  • Wetland-Land-Environmental Management.