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Steps in Outbreak Investigation01:18

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Related Experiment Video

Updated: Sep 15, 2025

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness
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Infectious disease outbreaks drive political mistrust.

Ore Koren1,2, Nils B Weidmann2

  • 1Department of Political Science, Tobias Center for International Development, Ostrom Workshop in Political Theory and Analysis, Indiana University Bloomington, Bloomington, IN 47405.

Proceedings of the National Academy of Sciences of the United States of America
|July 17, 2025
PubMed
Summary
This summary is machine-generated.

Deadly infectious disease outbreaks significantly reduce public trust in political institutions, including the president and parliament. This research highlights the link between epidemics and political instability, urging integrated public health and trust-building strategies.

Keywords:
epidemicsinfectious diseasepolitical trust

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Area of Science:

  • Political Science
  • Epidemiology
  • Public Health

Background:

  • Emerging infectious diseases have profound social implications, historically comparable to the Black Plague and Spanish Flu.
  • The impact of epidemics on political trust and stability remains underexplored.
  • Recent events like the COVID-19 pandemic underscore the need to understand disease outbreak consequences.

Purpose of the Study:

  • To investigate the causal relationship between exposure to zoonotic disease outbreaks and public confidence in political institutions.
  • To quantify the effect of infectious disease outbreaks on trust in government entities.
  • To provide empirical evidence on how epidemics influence political polarization and stability.

Main Methods:

  • Utilized a novel dataset of zoonotic disease outbreaks (Ebola, Marburg, H1N1, Black Plague).
  • Integrated geolocated Afrobarometer survey data from multiple African nations.
  • Employed coarsened exact matching to estimate the average-treatment-effect-in-the-treated.

Main Results:

  • Individuals experiencing infectious disease outbreaks showed significant declines in trust towards the political establishment.
  • Trust reductions were most pronounced for the president (0.2 points), parliament (0.18 points), and ruling party (0.22 points) on a four-point scale.
  • Findings remained consistent across different spatial and temporal analyses, confirming robustness.

Conclusions:

  • Deadly infectious disease outbreaks demonstrably erode institutional trust and can exacerbate political polarization.
  • These outbreaks pose a significant threat to political stability.
  • Policy strategies must integrate public health preparedness with measures to maintain and restore institutional trust during health crises.