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

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 exp...

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Autores principales: Zhao, Xixi, Li, Meijia, Haihambo, Naem, Jin, Jianhua, Zeng, Yimeng, Qiu, Jinyi, Guo, Mingrou, Zhu, Yuyao, Li, Zhirui, Liu, Jiaxin, Teng, Jiayi, Li, Sixiao, Zhao, Ya-nan, Cao, Yanxiang, Wang, Xuemei, Li, Yaqiong, Gao, Michel, Feng, Xiaoyang, Han, Chuanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231598/
https://www.ncbi.nlm.nih.gov/pubmed/35649394
http://dx.doi.org/10.2196/35343
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author Zhao, Xixi
Li, Meijia
Haihambo, Naem
Jin, Jianhua
Zeng, Yimeng
Qiu, Jinyi
Guo, Mingrou
Zhu, Yuyao
Li, Zhirui
Liu, Jiaxin
Teng, Jiayi
Li, Sixiao
Zhao, Ya-nan
Cao, Yanxiang
Wang, Xuemei
Li, Yaqiong
Gao, Michel
Feng, Xiaoyang
Han, Chuanliang
author_facet Zhao, Xixi
Li, Meijia
Haihambo, Naem
Jin, Jianhua
Zeng, Yimeng
Qiu, Jinyi
Guo, Mingrou
Zhu, Yuyao
Li, Zhirui
Liu, Jiaxin
Teng, Jiayi
Li, Sixiao
Zhao, Ya-nan
Cao, Yanxiang
Wang, Xuemei
Li, Yaqiong
Gao, Michel
Feng, Xiaoyang
Han, Chuanliang
author_sort Zhao, Xixi
collection PubMed
description 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 the COVID-19 outbreak. 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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spelling pubmed-92315982022-06-25 Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study Zhao, Xixi Li, Meijia Haihambo, Naem Jin, Jianhua Zeng, Yimeng Qiu, Jinyi Guo, Mingrou Zhu, Yuyao Li, Zhirui Liu, Jiaxin Teng, Jiayi Li, Sixiao Zhao, Ya-nan Cao, Yanxiang Wang, Xuemei Li, Yaqiong Gao, Michel Feng, Xiaoyang Han, Chuanliang JMIR Public Health Surveill Original Paper 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 the COVID-19 outbreak. 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. JMIR Publications 2022-06-23 /pmc/articles/PMC9231598/ /pubmed/35649394 http://dx.doi.org/10.2196/35343 Text en ©Xixi Zhao, Meijia Li, Naem Haihambo, Jianhua Jin, Yimeng Zeng, Jinyi Qiu, Mingrou Guo, Yuyao Zhu, Zhirui Li, Jiaxin Liu, Jiayi Teng, Sixiao Li, Ya-nan Zhao, Yanxiang Cao, Xuemei Wang, Yaqiong Li, Michel Gao, Xiaoyang Feng, Chuanliang Han. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 23.06.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zhao, Xixi
Li, Meijia
Haihambo, Naem
Jin, Jianhua
Zeng, Yimeng
Qiu, Jinyi
Guo, Mingrou
Zhu, Yuyao
Li, Zhirui
Liu, Jiaxin
Teng, Jiayi
Li, Sixiao
Zhao, Ya-nan
Cao, Yanxiang
Wang, Xuemei
Li, Yaqiong
Gao, Michel
Feng, Xiaoyang
Han, Chuanliang
Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title_full Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title_fullStr Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title_full_unstemmed Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title_short Changes in Temporal Properties of Notifiable Infectious Disease Epidemics in China During the COVID-19 Pandemic: Population-Based Surveillance Study
title_sort changes in temporal properties of notifiable infectious disease epidemics in china during the covid-19 pandemic: population-based surveillance study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231598/
https://www.ncbi.nlm.nih.gov/pubmed/35649394
http://dx.doi.org/10.2196/35343
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