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Cities in a pandemic: Evidence from China.

Badi H Baltagi1,2, Ying Deng3, Jing Li4

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Urban density increases COVID-19 infections, but efficient city governments mitigate this impact. Medical resources improve outcomes, with effects varying across the pandemic's phases.

Keywords:
COVID‐19citiesgovernment efficiencyurban density

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Area of Science:

  • Public Health
  • Epidemiology
  • Urban Studies
  • Health Economics

Background:

  • Understanding factors influencing COVID-19 transmission and mortality is crucial for public health policy.
  • Urban environments present unique challenges for disease control due to population density and social interaction.
  • The role of governance and resource allocation in mitigating pandemics requires further investigation.

Purpose of the Study:

  • To analyze the effects of urban density, government efficiency, and medical resources on COVID-19 infection and death rates in China.
  • To employ a robust econometric model that accounts for complex epidemiological and spatial dynamics.
  • To identify key determinants of pandemic outcomes and inform targeted interventions.

Main Methods:

  • Utilized a simultaneous spatial dynamic panel data model.
  • Accounted for simultaneity between infection and death outcomes.
  • Incorporated spatial transmission patterns, intertemporal disease dynamics, and unobserved city- and time-specific effects.

Main Results:

  • Population density was found to correlate positively with increased COVID-19 infections.
  • Higher city government efficiency significantly reduced the adverse effects of urban density on infections.
  • Adequate medical resources improved public health outcomes, particularly in relation to prior infection levels, with notable variations across epidemiological phases.

Conclusions:

  • Government efficiency is a critical factor in managing infectious disease outbreaks in dense urban settings.
  • Strategic allocation of medical resources is vital for improving pandemic response and outcomes.
  • Pandemic control strategies must consider the evolving nature of disease spread and local contextual factors.