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      Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

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          Abstract

          Research assessing the changing epidemiology of infectious diseases in China after the implementation of new healthcare reform in 2009 was scarce. We aimed to get the latest trends and disparities of national notifiable infectious diseases by age, sex, province, and season in China from 2010 to 2019. The number of incident cases and deaths, incidence rate, and mortality of 44 national notifiable infectious diseases by sex, age groups, and provincial regions from 2010 to 2019 were extracted from the China Information System for Disease Control and Prevention and official reports and divided into six kinds of infectious diseases by transmission routes and three classes (A–C) in this descriptive study. Estimated annual percentage changes (EAPCs) were calculated to quantify the temporal trends of incidence and mortality rate. We calculated the concentration index to measure economic‐related inequality. Segmented interrupted time‐series analysis was used to estimate the impact of the COVID‐19 pandemic on the epidemic of notifiable infectious diseases. The trend of incidence rate on six kinds of infectious diseases by transmission routes was stable, while only mortality of sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases increased from 0.6466 per 100 000 population in 2010 to 1.5499 per 100 000 population in 2019 by 8.76% per year (95% confidence interval [CI]: 6.88–10.68). There was a decreasing trend of incidence rate on Class‐A infectious diseases (EAPC = −16.30%; 95% CI: −27.93 to −2.79) and Class‐B infectious diseases (EAPC = −1.05%; 95% CI: −1.56 to −0.54), while an increasing trend on Class‐C infectious diseases (EAPC = 6.22%; 95% CI: 2.13–10.48). For mortality, there was a decreasing trend on Class‐C infectious diseases (EAPC = −14.76%; 95% CI: −23.46 to −5.07), and an increasing trend on Class‐B infectious diseases (EAPC = 4.56%; 95% CI: 2.44–6.72). In 2019, the infectious diseases with the highest incidence rate and mortality were respiratory diseases (340.95 per 100 000 population), and sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases (1.5459 per 100 000 population), respectively. The greatest increasing trend of incidence rate was observed in seasonal influenza, from 4.83 per 100 000 population in 2010 to 253.36 per 100 000 population in 2019 by 45.16% per year (95% CI: 29.81–62.33), especially among females and children aged 0–4 years old. The top disease with the highest mortality was still AIDs, which had the highest average yearly mortality in 24 provinces from 2010 to 2019, and its incidence rate (EAPC = 14.99%; 95% CI: 8.75–21.59) and mortality (EAPC = 9.65; 95%CI: 7.71–11.63) both increased from 2010 to 2019, especially among people aged 44–59 years old and 60 or older. Male incidence rate and mortality were higher than females each year from 2010 to 2018 on 29 and 10 infectious diseases, respectively. Additionally, sex differences in the incidence and mortality of AIDS were becoming larger. The curve lay above the equality line, with the negative value of the concentration index, which indicated that economic‐related health disparities exist in the distribution of incidence rate and mortality of respiratory diseases (incidence rate: the concentration index = −0.063, p < 0.0001; mortality: the concentration index = −0.131, p < 0.001), sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases (incidence rate: the concentration index = −0.039, p = 0.0192; mortality: the concentration index = −0.207, p < 0.0001), and the inequality disadvantageous to the poor (pro‐rich). Respiratory diseases (Dec–Jan), intestinal diseases (May–Jul), zoonotic infectious diseases (Mar–Jul), and vector‐borne infectious diseases (Sep–Oct) had distinct seasonal epidemic patterns. In addition, segmented interrupted time‐series analyses showed that, after adjusting for potential seasonality, autocorrelation, GDP per capita, number of primary medical institutions, and other factors, there was no significant impact of COVID‐19 epidemic on the monthly incidence rate of six kinds of infectious diseases by transmission routes from 2018 to 2020 (all p > 0.05). The incidence rates of six kinds of infectious diseases were stable in the past decade, and incidence rates of Class‐A and Class‐B infectious diseases were decreasing because of comprehensive prevention and control measures and a strengthened health system after the implementation of the new healthcare reform in China since 2009. However, age, gender, regional, and economic disparities were still observed. Concerted efforts are needed to reduce the impact of seasonal influenza (especially among children aged 0–4 years old) and the mortality of AIDs (especially among people aged 44–59 years old and 60 or older). More attention should be paid to the disparities in the burden of infectious diseases.

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          Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

          Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)
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            The trends in incidence of primary liver cancer caused by specific etiologies: results from the Global Burden of Disease Study 2016 and implications for liver cancer prevention

            Liver cancer is a common malignant neoplasm worldwide. The etiologies for liver cancer are diverse and the incidence trends of liver cancer caused by specific etiologies are rarely studied. We therefore aimed to determine the pattern of liver cancer incidence, as well as temporal trends.
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              Infectious disease in an era of global change

              The twenty-first century has witnessed a wave of severe infectious disease outbreaks, not least the COVID-19 pandemic, which has had a devastating impact on lives and livelihoods around the globe. The 2003 severe acute respiratory syndrome coronavirus outbreak, the 2009 swine flu pandemic, the 2012 Middle East respiratory syndrome coronavirus outbreak, the 2013–2016 Ebola virus disease epidemic in West Africa and the 2015 Zika virus disease epidemic all resulted in substantial morbidity and mortality while spreading across borders to infect people in multiple countries. At the same time, the past few decades have ushered in an unprecedented era of technological, demographic and climatic change: airline flights have doubled since 2000, since 2007 more people live in urban areas than rural areas, population numbers continue to climb and climate change presents an escalating threat to society. In this Review, we consider the extent to which these recent global changes have increased the risk of infectious disease outbreaks, even as improved sanitation and access to health care have resulted in considerable progress worldwide. Global change, including climate change, urbanization and global travel and trade, has affected the emergence and spread of infectious diseases. In the Review, Baker, Metcalf and colleagues examine how global change affects infectious diseases, highlighting examples ranging from COVID-19 to Zika virus disease.
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                Author and article information

                Contributors
                jueliu@bjmu.edu.cn
                Journal
                J Med Virol
                J Med Virol
                10.1002/(ISSN)1096-9071
                JMV
                Journal of Medical Virology
                John Wiley and Sons Inc. (Hoboken )
                0146-6615
                1096-9071
                05 December 2022
                January 2023
                : 95
                : 1 ( doiID: 10.1002/jmv.v95.1 )
                : e28353
                Affiliations
                [ 1 ] Department of Epidemiology and Biostatistics, School of Public Health Peking University Beijing China
                [ 2 ] Chinese Center for Disease Control and Prevention Beijing China
                [ 3 ] Department of Health Policy, School of Medicine Stanford University Stanford California USA
                [ 4 ] Vanke School of Public Health Tsinghua University Beijing China
                [ 5 ] Institute for Global Health and Development Peking University Beijing China
                Author notes
                [*] [* ] Correspondence

                Jue Liu, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38, Xueyuan Rd, Haidian District, Beijing 100191, China.

                Email: jueliu@ 123456bjmu.edu.cn

                Author information
                http://orcid.org/0000-0002-5059-3743
                http://orcid.org/0000-0002-1938-9365
                Article
                JMV28353
                10.1002/jmv.28353
                10107249
                36443103
                c1517c86-3ba4-4156-93ff-937a054a6ce8
                © 2022 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 08 October 2022
                : 25 August 2022
                : 25 November 2022
                Page count
                Figures: 4, Tables: 1, Pages: 14, Words: 8120
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 72122001
                Award ID: 71934002
                Funded by: National Key Research and Development Project of China
                Award ID: 2021ZD0114101
                Award ID: 2021ZD0114104
                Award ID: 2021ZD0114105
                Funded by: National Statistical Science Research Project
                Award ID: 2021LY038
                Funded by: National Science and Technology Project on Development Assistance for Technology, Developing China‐ASEAN Public Health Research and Development Collaborating Center
                Award ID: KY202101004
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:17.04.2023

                Microbiology & Virology
                china,disparities,infectious diseases,trends
                Microbiology & Virology
                china, disparities, infectious diseases, trends

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