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Epidemiologic trends of hepatitis A in different age groups and regions of China from 1990 to 2018: observational population-based study

Published online by Cambridge University Press:  29 July 2021

Bo Zheng
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
Zexuan Wen
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
Jinhua Pan
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
Weibing Wang*
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
*
Author for correspondence: Weibing Wang, E-mail: wwb@fudan.edu.cn
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Abstract

This study characterises changes in the incidence and mortality of hepatitis A in different age groups and provinces of China from 1990 to 2018, and evaluates the effect of the nation-wide expanded programme on immunisation (EPI). A mathematical model was used to estimate the relative change in incidence and mortality in different provinces and age groups. Interrupted time series regression was applied to evaluate the impacts of the inclusion of vaccination in the EPI during 2007–2018. The geographic clustering of hepatitis A incidence was assessed using global Moran's I and changing trends over time were estimated using joinpoint regression analysis. Both the incidence (odds ratio (OR) for overall relative change: 0.86; 95% confidence interval (CI): 0.85–0.87; P < 0.0001) and the mortality rate (OR for overall relative change: 0.84; 95% CI: 0.83–0.85; P < 0.0001) decreased. Most age groups had significant declines in reported incidence over time. The incidence and mortality of hepatitis A significantly reduced after inclusion of hepatitis A vaccine in EPI, showing that the EPI strategy had a continuous effect on the decreasing trend of hepatitis A burden. Increasing the coverage rate of the vaccine and improving hygiene conditions are the key measures for the control of hepatitis A in China.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
Copyright © Fudan University, 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Annual RI (a) and mortality (b) of hepatitis A in China from 1990 to 2018. The lines are fits to logistic regression equations.

Figure 1

Fig. 2. Relative changes in hepatitis A RI (a) and mortality (b) in different provinces of China from 1990 to 2016. *P > 0.05 for incidence in XJ and for mortality in QH, NX, JL and HN. Changes in all other provinces were significant (P < 0.05; see Table 1). AH, Anhui; BJ, Beijing; CQ, Chongqing; FJ, Fujian; GD, Guangdong; GS, Gansu; GX, Guangxi; GZ, Guizhou; HB, Hebei; HE, Henan; HI, Hainan; HLJ, Heilongjiang; HN, Hunan; HU, Hubei; JL, Jilin; JS, Jiangsu; JX, Jiangxi; LN, Liaoning; NMG, Inner Mongolia; NX, Ningxia; QH, Qinghai; SA, Shaanxi; SC, Sichuan; SD, Shandong; SH, Shanghai; SX, Shanxi; TJ, Tianjin; XJ, Xinjiang; XZ, Tibet; YN, Yunnan; ZJ, Zhejiang.

Figure 2

Table 1. Relative change of hepatitis A RI and mortality in different provinces from 1990 to 2016

Figure 3

Fig. 3. Annual RI (a) and mortality (b) of hepatitis A in China in different age groups from 2004 to 2016. The lines are fits to logistic regression equations.

Figure 4

Fig. 4. Relative change in hepatitis A incidence (a) and mortality (b) in different age groups from 2004 to 2016. *P > 0.05.

Figure 5

Table 2. Relative change of hepatitis A RI and mortality in different age groups from 2004 to 2016 (comparison is relative to 2004)

Figure 6

Fig. 5. Joinpoint regression analysis of hepatitis A RI (a) and mortality (b) from 1990 to 2018. *P > 0.05; APC in other periods was significantly different from zero (P < 0.05).

Figure 7

Fig. 6. ITS analysis of the RI (a) and mortality (b) of hepatitis A from 1990 to 2018 based on level and slope change.

Figure 8

Table 3. Global spatial autocorrelation analysis of RI and mortality of hepatitis A in China from 1990 to 2016

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