[Spatial accessibility of fever clinics for multi-tiered prevention and control on COVID-19 in Beijing]

J W Zhang1, P E Han1, L Yang1

  • 1Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.

Insights

Uneven distribution of fever clinics in Beijing impacts accessibility during COVID-19 outbreaks. Enhancing resources in ecological areas and optimizing clinic numbers are crucial for effective epidemic control and public health.

Area of Science:

  • Epidemiology
  • Public Health
  • Health Resource Management

Background:

  • COVID-19 presents varying prevalence scenarios in urban centers.
  • Assessing medical resource capacity is vital for epidemic preparedness.
  • Optimizing spatial distribution of healthcare facilities is key for severe epidemics.

Purpose of the Study:

  • To simulate COVID-19 spread in Beijing under different scenarios.
  • To analyze the response capacity of fever clinics.
  • To provide a basis for optimizing fever clinic spatial layout.

Main Methods:

  • Utilized the SEIR model with epidemiological and population movement data.
  • Predicted daily infections at various control levels for spreading and outbreak city simulations.
  • Employed the two-step floating catchment area method to assess spatial accessibility to fever clinics.

Main Results:

  • Simulated daily infections ranged from 68 (high control, spreading) to 22,803 (low control, outbreak).
  • Under low control (spreading), 69.91% of communities had poor fever clinic accessibility.
  • High control significantly improved accessibility, while outbreak scenarios showed persistent poor accessibility in 557 communities (95.21%).

Conclusions:

  • Fever clinic distribution in Beijing is uneven, with significant disparities in accessibility.
  • High control levels improve accessibility, suggesting potential for resource optimization.
  • Ecological conservation areas require prioritized development of fever clinics and potentially temporary sentinel sites.
Abstract

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