Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.

A variety of infectious diseases occur in mainland China every year. Cyclic oscillation is a widespread attribute of most viral human infections. Understanding the outbreak cycle of infectious diseases can be conducive for public health management and disease surveillance. In this study, we collecte...

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Autores principales:	Chuanliang Han, Meijia Li, Naem Haihambo, Yu Cao, Xixi Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5a372f6a604249e8b6aec3670ca2ab84
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spelling	oai:doaj.org-article:5a372f6a604249e8b6aec3670ca2ab842021-12-02T20:10:52ZEnlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.1932-620310.1371/journal.pone.0252803https://doaj.org/article/5a372f6a604249e8b6aec3670ca2ab842021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252803https://doaj.org/toc/1932-6203A variety of infectious diseases occur in mainland China every year. Cyclic oscillation is a widespread attribute of most viral human infections. Understanding the outbreak cycle of infectious diseases can be conducive for public health management and disease surveillance. In this study, we collected time-series data for 23 class B notifiable infectious diseases from 2004 to 2020 using public datasets from the National Health Commission of China. Oscillatory properties were explored using power spectrum analysis. We found that the 23 class B diseases from the dataset have obvious oscillatory patterns (seasonal or sporadic), which could be divided into three categories according to their oscillatory power in different frequencies each year. These diseases were found to have different preferred outbreak months and infection selectivity. Diseases that break out in autumn and winter are more selective. Furthermore, we calculated the oscillation power and the average number of infected cases of all 23 diseases in the first eight years (2004 to 2012) and the next eight years (2012 to 2020) since the update of the surveillance system. A strong positive correlation was found between the change of oscillation power and the change in the number of infected cases, which was consistent with the simulation results using a conceptual hybrid model. The establishment of reliable and effective analytical methods contributes to a better understanding of infectious diseases' oscillation cycle characteristics. Our research has certain guiding significance for the effective prevention and control of class B infectious diseases.Chuanliang HanMeijia LiNaem HaihamboYu CaoXixi ZhaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252803 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chuanliang Han Meijia Li Naem Haihambo Yu Cao Xixi Zhao Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
description	A variety of infectious diseases occur in mainland China every year. Cyclic oscillation is a widespread attribute of most viral human infections. Understanding the outbreak cycle of infectious diseases can be conducive for public health management and disease surveillance. In this study, we collected time-series data for 23 class B notifiable infectious diseases from 2004 to 2020 using public datasets from the National Health Commission of China. Oscillatory properties were explored using power spectrum analysis. We found that the 23 class B diseases from the dataset have obvious oscillatory patterns (seasonal or sporadic), which could be divided into three categories according to their oscillatory power in different frequencies each year. These diseases were found to have different preferred outbreak months and infection selectivity. Diseases that break out in autumn and winter are more selective. Furthermore, we calculated the oscillation power and the average number of infected cases of all 23 diseases in the first eight years (2004 to 2012) and the next eight years (2012 to 2020) since the update of the surveillance system. A strong positive correlation was found between the change of oscillation power and the change in the number of infected cases, which was consistent with the simulation results using a conceptual hybrid model. The establishment of reliable and effective analytical methods contributes to a better understanding of infectious diseases' oscillation cycle characteristics. Our research has certain guiding significance for the effective prevention and control of class B infectious diseases.
format	article
author	Chuanliang Han Meijia Li Naem Haihambo Yu Cao Xixi Zhao
author_facet	Chuanliang Han Meijia Li Naem Haihambo Yu Cao Xixi Zhao
author_sort	Chuanliang Han
title	Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
title_short	Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
title_full	Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
title_fullStr	Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
title_full_unstemmed	Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.
title_sort	enlightenment on oscillatory properties of 23 class b notifiable infectious diseases in the mainland of china from 2004 to 2020.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5a372f6a604249e8b6aec3670ca2ab84
work_keys_str_mv	AT chuanlianghan enlightenmentonoscillatorypropertiesof23classbnotifiableinfectiousdiseasesinthemainlandofchinafrom2004to2020 AT meijiali enlightenmentonoscillatorypropertiesof23classbnotifiableinfectiousdiseasesinthemainlandofchinafrom2004to2020 AT naemhaihambo enlightenmentonoscillatorypropertiesof23classbnotifiableinfectiousdiseasesinthemainlandofchinafrom2004to2020 AT yucao enlightenmentonoscillatorypropertiesof23classbnotifiableinfectiousdiseasesinthemainlandofchinafrom2004to2020 AT xixizhao enlightenmentonoscillatorypropertiesof23classbnotifiableinfectiousdiseasesinthemainlandofchinafrom2004to2020
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Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.

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