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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

Authors :
Lau, Eric H. Y.
Zheng, Jiandong
Tsang, Tim K.
Liao, Qiaohong
Lewis, Bryan L.
Brownstein, John S.
Sanders, Sharon
Wong, Jessica Y.
Mekaru, Sumiko R.
Rivers, Caitlin
Wu, Peng
Jiang, Hui
Li, Yu
Yu, Jianxing
Zhang, Qian
Chang, Zhaorui
Liu, Fengfeng
Peng, Zhibin
Leung, Gabriel M.
Feng, Luzhao
Cowling, Benjamin J.
Yu, Hongjie
Lau, Eric H. Y.
Zheng, Jiandong
Tsang, Tim K.
Liao, Qiaohong
Lewis, Bryan L.
Brownstein, John S.
Sanders, Sharon
Wong, Jessica Y.
Mekaru, Sumiko R.
Rivers, Caitlin
Wu, Peng
Jiang, Hui
Li, Yu
Yu, Jianxing
Zhang, Qian
Chang, Zhaorui
Liu, Fengfeng
Peng, Zhibin
Leung, Gabriel M.
Feng, Luzhao
Cowling, Benjamin J.
Yu, Hongjie
Publication Year :
2014

Abstract

Background Appropriate 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. Methods We 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. Results Demographic 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. Conclusio

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1389866940
Document Type :
Electronic Resource