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The Lancet | 2013

Comparative epidemiology of human infections with avian influenza A H7N9 and H5N1 viruses in China: a population-based study of laboratory-confirmed cases

Benjamin J. Cowling; Lianmei Jin; Eric H. Y. Lau; Qiaohong Liao; Peng Wu; Hui Jiang; Tim K. Tsang; Jiandong Zheng; Vicky J. Fang; Zhaorui Chang; My Ni; Qian Zhang; Dennis K. M. Ip; Jianxing Yu; Yu Li; Liping Wang; Wenxiao Tu; Ling Meng; Joseph T. Wu; Huiming Luo; Qun Li; Yuelong Shu; Zhongjie Li; Zijian Feng; Weizhong Yang; Wang Y; Gabriel M. Leung; Hongjie Yu

BACKGROUND The novel influenza A H7N9 virus emerged recently in mainland China, whereas the influenza A H5N1 virus has infected people in China since 2003. Both infections are thought to be mainly zoonotic. We aimed to compare the epidemiological characteristics of the complete series of laboratory-confirmed cases of both viruses in mainland China so far. METHODS An integrated database was constructed with information about demographic, epidemiological, and clinical variables of laboratory-confirmed cases of H7N9 (130 patients) and H5N1 (43 patients) that were reported to the Chinese Centre for Disease Control and Prevention until May 24, 2013. We described disease occurrence by age, sex, and geography, and estimated key epidemiological variables. We used survival analysis techniques to estimate the following distributions: infection to onset, onset to admission, onset to laboratory confirmation, admission to death, and admission to discharge. FINDINGS The median age of the 130 individuals with confirmed infection with H7N9 was 62 years and of the 43 with H5N1 was 26 years. In urban areas, 74% of cases of both viruses were in men, whereas in rural areas the proportions of the viruses in men were 62% for H7N9 and 33% for H5N1. 75% of patients infected with H7N9 and 71% of those with H5N1 reported recent exposure to poultry. The mean incubation period of H7N9 was 3·1 days and of H5N1 was 3·3 days. On average, 21 contacts were traced for each case of H7N9 in urban areas and 18 in rural areas, compared with 90 and 63 for H5N1. The fatality risk on admission to hospital was 36% (95% CI 26-45) for H7N9 and 70% (56-83%) for H5N1. INTERPRETATION The sex ratios in urban compared with rural cases are consistent with exposure to poultry driving the risk of infection--a higher risk in men was only recorded in urban areas but not in rural areas, and the increased risk for men was of a similar magnitude for H7N9 and H5N1. However, the difference in susceptibility to serious illness with the two different viruses remains unexplained, since most cases of H7N9 were in older adults whereas most cases of H5N1 were in younger people. A limitation of our study is that we compared laboratory-confirmed cases of H7N9 and H5N1 infection, and some infections might not have been ascertained. FUNDING Ministry of Science and Technology, China; Research Fund for the Control of Infectious Disease and University Grants Committee, Hong Kong Special Administrative Region, China; and the US National Institutes of Health.


BMJ | 2013

Detection of mild to moderate influenza A/H7N9 infection by China’s national sentinel surveillance system for influenza-like illness: case series

Dennis K. M. Ip; Qiaohong Liao; Peng Wu; Zhancheng Gao; Bin Cao; Luzhao Feng; Xiaoling Xu; Hui Jiang; Ming Li; Jing Bao; Jiandong Zheng; Qian Zhang; Zhaorui Chang; Yu Li; Jianxing Yu; Fengfeng Liu; My Ni; Joseph T. Wu; Benjamin J. Cowling; Weizhong Yang; Gabriel M. Leung; Hongjie Yu

Objective To characterise the complete case series of influenza A/H7N9 infections as of 27 May 2013, detected by China’s national sentinel surveillance system for influenza-like illness. Design Case series. Setting Outpatient clinics and emergency departments of 554 sentinel hospitals across 31 provinces in mainland China. Cases Infected individuals were identified through cross-referencing people who had laboratory confirmed A/H7N9 infection with people detected by the sentinel surveillance system for influenza-like illness, where patients meeting the World Health Organization’s definition of influenza-like illness undergo weekly surveillance, and 10-15 nasopharyngeal swabs are collected each week from a subset of patients with influenza-like illness in each hospital for virological testing. We extracted relevant epidemiological data from public health investigations by the Centers for Disease Control and Prevention at the local, provincial, and national level; and clinical and laboratory data from chart review. Main outcome measure Epidemiological, clinical, and laboratory profiles of the case series. Results Of 130 people with laboratory confirmed A/H7N9 infection as of 27 May 2013, five (4%) were detected through the sentinel surveillance system for influenza-like illness. Mean age was 13 years (range 2-26), and none had any underlying medical conditions. Exposure history, geographical location, and timing of symptom onset of these five patients were otherwise similar to the general cohort of laboratory confirmed cases so far. Only two of the five patients needed hospitalisation, and all five had mild or moderate disease with an uneventful course of recovery. Conclusion Our findings support the existence of a “clinical iceberg” phenomenon in influenza A/H7N9 infections, and reinforce the need for vigilance to the diverse presentation that can be associated with A/H7N9 infection. At the public health level, indirect evidence suggests a substantial proportion of mild disease in A/H7N9 infections.


Emerging Infectious Diseases | 2014

Human Exposure to Live Poultry and Psychological and Behavioral Responses to Influenza A(H7N9), China

Liping Wang; Benjamin J. Cowling; Peng Wu; Jianxing Yu; Fu Li; Lingjia Zeng; Joseph T. Wu; Zhongjie Li; Gabriel M. Leung; Hongjie Yu

Exposure was common in urban and rural areas and remains a potential risk factor for human infection.


Emerging Infectious Diseases | 2017

Changing epidemiology of human brucellosis, China, 1955–2014

Shengjie Lai; Hang Zhou; Weiyi Xiong; Marius Gilbert; Zhuojie Huang; Jianxing Yu; Wenwu Yin; Liping Wang; Qiulan Chen; Yu Li; Di Mu; Lingjia Zeng; Xiang Ren; Mengjie Geng; Zike Zhang; Buyun Cui; Tiefeng Li; Dali Wang; Zhongjie Li; Nicola A. Wardrop; Andrew J. Tatem; Hongjie Yu

Brucellosis, a zoonotic disease, was made statutorily notifiable in China in 1955. We analyzed the incidence and spatial–temporal distribution of human brucellosis during 1955–2014 in China using notifiable surveillance data: aggregated data for 1955–2003 and individual case data for 2004–2014. A total of 513,034 brucellosis cases were recorded, of which 99.3% were reported in northern China during 1955–2014, and 69.1% (258, 462/374, 141) occurred during February–July in 1990–2014. Incidence remained high during 1955–1978 (interquartile range 0.42–1.0 cases/100,000 residents), then decreased dramatically in 1979–1994. However, brucellosis has reemerged since 1995 (interquartile range 0.11–0.23 in 1995–2003 and 1.48–2.89 in 2004–2014); the historical high occurred in 2014, and the affected area expanded from northern pastureland provinces to the adjacent grassland and agricultural areas, then to southern coastal and southwestern areas. Control strategies in China should be adjusted to account for these changes by adopting a One Health approach.


BMC Medicine | 2014

Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China

Eric H. Y. Lau; Jiandong Zheng; Tim K. Tsang; Qiaohong Liao; Bryan Lewis; John S. Brownstein; Sharon Sanders; Jessica Y. Wong; Sumiko R. Mekaru; Caitlin M. Rivers; Peng Wu; Hui Jiang; Yu Li; Jianxing Yu; Qian Zhang; Zhaorui Chang; Fengfeng Liu; Zhibin Peng; Gabriel M. Leung; Luzhao Feng; Benjamin J. Cowling; Hongjie Yu

BackgroundAppropriate public health responses to infectious disease threats should be based on best-available evidence, which requires timely reliable data for appropriate analysis. During the early stages of epidemics, analysis of ‘line lists’ with detailed information on laboratory-confirmed cases can provide important insights into the epidemiology of a specific disease. The objective of the present study was to investigate the extent to which reliable epidemiologic inferences could be made from publicly-available epidemiologic data of human infection with influenza A(H7N9) virus.MethodsWe collated and compared six different line lists of laboratory-confirmed human cases of influenza A(H7N9) virus infection in the 2013 outbreak in China, including the official line list constructed by the Chinese Center for Disease Control and Prevention plus five other line lists by HealthMap, Virginia Tech, Bloomberg News, the University of Hong Kong and FluTrackers, based on publicly-available information. We characterized clinical severity and transmissibility of the outbreak, using line lists available at specific dates to estimate epidemiologic parameters, to replicate real-time inferences on the hospitalization fatality risk, and the impact of live poultry market closure.ResultsDemographic information was mostly complete (less than 10% missing for all variables) in different line lists, but there were more missing data on dates of hospitalization, discharge and health status (more than 10% missing for each variable). The estimated onset to hospitalization distributions were similar (median ranged from 4.6 to 5.6 days) for all line lists. Hospital fatality risk was consistently around 20% in the early phase of the epidemic for all line lists and approached the final estimate of 35% afterwards for the official line list only. Most of the line lists estimated >90% reduction in incidence rates after live poultry market closures in Shanghai, Nanjing and Hangzhou.ConclusionsWe demonstrated that analysis of publicly-available data on H7N9 permitted reliable assessment of transmissibility and geographical dispersion, while assessment of clinical severity was less straightforward. Our results highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status. Such an approach could be particularly useful for diseases that spread across multiple countries.


PLOS ONE | 2015

Live Poultry Exposure and Public Response to Influenza A(H7N9) in Urban and Rural China during Two Epidemic Waves in 2013-2014.

Peng Wu; Liping Wang; Benjamin J. Cowling; Jianxing Yu; Vicky J. Fang; Fu Li; Lingjia Zeng; Joseph T. Wu; Zhongjie Li; Gabriel M. Leung; Hongjie Yu

Background The novel influenza A(H7N9) virus has caused 2013 spring and 2013–2014 winter waves of human infections since its first emergence in China in March 2013. Exposure to live poultry is a risk factor for H7N9 infection. Public psychobehavioral responses often change during progression of an epidemic. Methods We conducted population-based surveys in southern China to examine human exposure to live poultry, and population psychological response and behavioral changes in the two waves. In Guangzhou, an urban area of Guangdong province, we collected data using telephone surveys with random digit dialing in May-June 2013 and again in December 2013 to January 2014. In Zijin county, a rural area of the same province, we used door-to-door surveys under a stratified sampling design in July 2013 and again in December 2013 to January 2014. All responses were weighted by age and sex to the respective adult populations. Findings Around half of the urban respondents (53.8%) reported having visited LPMs in the previous year in the first survey, around double that reported in the second survey (27.7%). In the rural surveys, around half of the participants reported raising backyard poultry in the past year in the first survey, increasing to 83.2% participants in the second survey. One third of urban subjects supported the permanent closure of LPMs in the first and second surveys, and factors associated with support for closure included female sex, higher level of worry towards H7N9, and worry induced by a hypothetical influenza-like illness. Conclusions Our study indicated high human exposure to live poultry and low support for permanent closure of markets in both urban and rural residents regardless of increased worry during the epidemic.


PLOS ONE | 2017

Etiology of acute diarrhea in the elderly in China: a six-year observational study

Zike Zhang; Shengjie Lai; Jianxing Yu; Qibin Geng; Wanqi Yang; Yu Chen; Jianguo Wu; Huaiqi Jing; Weizhong Yang; Zhongjie Li

Acute diarrhea leads to a substantial disease burden among the elderly worldwide. However, in the context of increasingly aging trend in China, the prevalence of etiological agents among elderly diarrheal patients was undetermined. This study aimed to explore the major enteropathogens of acute diarrhea among outpatients older than 65 years in China, and also the epidemiological features of the pathogens. Demographic and clinical data for acute diarrhea among outpatients older than 65 years were collected from 213 participating hospitals from 2009 to 2014. Stool specimens were collected and tested for 13 enteric viruses and bacteria. The proportion of outpatients positive for targeted pathogens was analyzed by residential areas and seasonal patterns. Among the 7,725 patients enrolled, 1,617 (20.9%)were positive for any one of the 13 study pathogens. The predominant pathogen was norovirus (9.0%), followed by diarrheagenic Escherichia coli (DEC) (5.5%), rotavirus (3.9%), non-typhoidal Salmonella (NTS) (2.9%), and Shigella spp. (2.5%). The prevalence of Shigella spp. among rural patients (6.9%) was higher than that among urban patients (1.6%) (p < 0.001), with opposite trend for DEC (3.6% versus 5.9%, p = 0.007). An obvious seasonal pattern was observed for major pathogens, with peak for norovirus in autumn, rotavirus in winter and DEC, NTS, and Shigella spp. in summer. A wide variety of enteropathogens were detected among the elderly with acute diarrhea in China, with norovirus and DEC being the most commonly isolated pathogens. A strong seasonal pattern was observed for major pathogens of acute diarrhea among the elderly.


Emerging Infectious Diseases | 2017

Incidence of norovirus-associated diarrhea, Shanghai, China, 2012–2013

Jianxing Yu; Chuchu Ye; Shengjie Lai; Weiping Zhu; Zike Zhang; Qibin Geng; Caoyi Xue; Weizhong Yang; Shuyu Wu; Aron J. Hall; Qiao Sun; Zhongjie Li

We conducted sentinel-based surveillance for norovirus in the Pudong area of Shanghai, China, during 2012–2013, by analyzing 5,324 community surveys, 408,024 medical records, and 771 laboratory-confirmed norovirus infections among 3,877 diarrhea cases. Our analysis indicated an outpatient incidence of 1.5/100 person-years and a community incidence of 8.9/100 person-years for norovirus-associated diarrhea.


Journal of Medical Virology | 2017

Viral pathogens among elderly people with acute respiratory infections in Shanghai, China: preliminary results from a laboratory-based surveillance, 2012-2015

Chuchu Ye; Weiping Zhu; Jianxing Yu; Zhongjie Li; Yifei Fu; Yajia Lan; Shengjie Lai; Yuanping Wang; Lifeng Pan; Qiao Sun; Genming Zhao

Acute respiratory infections (ARIs), with viral pathogens as the major contributors, are the most common illnesses worldwide, and increase the morbidity and mortality among the elderly population. The clinical and pathological features of elderly people with ARIs need to be identified for disease intervention. From January 1, 2012 through December 31, 2015, respiratory specimens from patients above 60 years old with ARIs were collected from the outpatient and inpatient settings of six sentinel hospitals in Pudong New Area. Each specimen was tested via multiplex polymerase chain reaction (PCR) for eight target viral etiologies including influenza, human rhinovirus (HRV), human para‐influenza virus (PIV), adenovirus (ADV), respiratory syncytial virus (RSV), human metapneumovirus (hMPV), human coronavirus (hCoVs), and human bocavirus (hBoV). A total of 967 elderly patients with ARIs were enrolled, including 589 (60.91%) males, and the median age was 73 years old. 306 (31.64%) patients were tested positive for any one of the eight viruses, including 276 single infections and 30 co‐infections. Influenza was the predominant virus (14.17%, 137/967), detected from 21.35% (76/356) of the outpatients and 9.98% (61/611) of the inpatients. Influenza infections presented two annual seasonal peaks during winter and summer. Compared with non‐influenza patients, those with influenza were more likely to have fever, cough, sore throat, and fatigue. This study identified influenza as the leading viral pathogen among elderly with ARIs, and two seasonal epidemic peaks were observed in Shanghai. An influenza vaccination strategy needs to be advocated for the elderly population.


Bulletin of The World Health Organization | 2017

Malaria in China, 2011-2015: an observational study.

Shengjie Lai; Zhongjie Li; Nicola A. Wardrop; Junling Sun; Michael G Head; Zhuojie Huang; Sheng Zhou; Jianxing Yu; Zike Zhang; Zhou Ss; Zhi-Gui Xia; Ru-Bo Wang; Bin Zheng; Yao Ruan; Li Zhang; Xiao-Nong Zhou; Andrew J. Tatem; Hongjie Yu

Abstract Objective To ascertain the trends and burden of malaria in China and the costs of interventions for 2011–2015. Methods We analysed the spatiotemporal and demographic features of locally transmitted and imported malaria cases using disaggregated surveillance data on malaria from 2011 to 2015, covering the range of dominant malaria vectors in China. The total and mean costs for malaria elimination were calculated by funding sources, interventions and population at risk. Findings A total of 17 745 malaria cases, including 123 deaths (0.7%), were reported in mainland China, with 15 840 (89%) being imported cases, mainly from Africa and south-east Asia. Almost all counties of China (2855/2858) had achieved their elimination goals by 2015, and locally transmitted cases dropped from 1469 cases in 2011 to 43 cases in 2015, mainly occurring in the regions bordering Myanmar where Anopheles minimus and An. dirus are the dominant vector species. A total of United States dollars (US

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Zhongjie Li

Chinese Center for Disease Control and Prevention

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Shengjie Lai

University of Southampton

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Weizhong Yang

Chinese Center for Disease Control and Prevention

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Liping Wang

Chinese Center for Disease Control and Prevention

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Lingjia Zeng

Chinese Center for Disease Control and Prevention

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Zike Zhang

Chinese Center for Disease Control and Prevention

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Qiaohong Liao

Chinese Center for Disease Control and Prevention

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Luzhao Feng

Chinese Center for Disease Control and Prevention

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