4.7 Article

Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study

Journal

JMIR PUBLIC HEALTH AND SURVEILLANCE
Volume 8, Issue 6, Pages -

Publisher

JMIR PUBLICATIONS, INC
DOI: 10.2196/35343

Keywords

surveillance; health policy; epidemiology; prevention policy; public health; risk prevention; class B infectious disease; COVID-19; event-related trough; infection selectivity; oscillation; public health interventions; pandemic

Funding

  1. Beijing Municipal Hospital Clinical Technology Innovation and Research Plan [XMLX201805]
  2. Beijing Municipal Hospital Research and Development Project [PX2021068]
  3. Advanced Innovation Center for Human Brain Protection Project [3500-12020137]

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This study found that the prevention and control policies for COVID-19 have a significant reduction effect on outbreaks of other infectious diseases in China. A clear event-related trough was observed after the outbreak of COVID-19, and its decreasing amplitude is related to the infection selectivity and preferred outbreak time of the disease before COVID-19. The study suggests that nonpharmaceutical interventions can be implemented to control a wider range of infectious diseases.
Background: COVID-19 was first reported in 2019, and the Chinese government immediately carried out stringent and effective control measures in response to the epidemic. Objective: Nonpharmaceutical interventions (NPIs) may have impacted incidences of other infectious diseases as well. Potential explanations underlying this reduction, however, are not clear. Hence, in this study, we aim to study the influence of the COVID-19 prevention policies on other infectious diseases (mainly class B infectious diseases) in China.Methods: Time series data sets between 2017 and 2021 for 23 notifiable infectious diseases were extracted from public data sets from the National Health Commission of the People's Republic of China. Several indices (peak and trough amplitudes, infection selectivity, preferred time to outbreak, oscillatory strength) of each infectious disease were calculated before and after Results: We found that the prevention and control policies for COVID-19 had a strong, significant reduction effect on outbreaks of other infectious diseases. A clear event-related trough (ERT) was observed after the outbreak of COVID-19 under the strict control policies, and its decreasing amplitude is related to the infection selectivity and preferred outbreak time of the disease before COVID-19. We also calculated the oscillatory strength before and after the COVID-19 outbreak and found that it was significantly stronger before the COVID-19 outbreak and does not correlate with the trough amplitude. Conclusions: Our results directly demonstrate that prevention policies for COVID-19 have immediate additional benefits for controlling most class B infectious diseases, and several factors (infection selectivity, preferred outbreak time) may have contributed to the reduction in outbreaks. This study may guide the implementation of nonpharmaceutical interventions to control a wider range of infectious diseases.

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