Influenza A(H7N9) virus emerged and resulted in human infections in Chongqing, southwestern China since 2017

Su, Kun; Qin, Li; Xie, Wenting; Yu, Hongyue; Li, Qi; Xiong, Yingfei; Zhao, Han; Li, Baisong; Ling, Hua; Tang, Yun; BangZhong, Xiao; Rong, Rong; Tang, Wenge; Li, Yafei

doi:10.1016/j.ijid.2019.02.011

Cited by 6 publications

(7 citation statements)

References 28 publications

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“…Additionally, the public health in Chongqing has been heavily affected by seasonal influenza A (H3N2) and A (H1N1) pdm09 in recent years [31]. It is notable that an avian influenza A (H7N9) virus emerged and resulted in human infections in Chongqing in 2017 [32]. The control and prevention of influenza is of great importance to the public health.…”

Section: Introductionmentioning

confidence: 99%

Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

Xu²,

et al. 2019

EBioMedicine

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a b s t r a c tBackground: Early detection of influenza activity followed by timely response is a critical component of preparedness for seasonal influenza epidemic and influenza pandemic. However, most relevant studies were conducted at the regional or national level with regular seasonal influenza trends. There are few feasible strategies to forecast influenza activity at the local level with irregular trends. Methods: Multi-source electronic data, including historical percentage of influenza-like illness (ILI%), weather data, Baidu search index and Sina Weibo data of Chongqing, China, were collected and integrated into an innovative Self-adaptive AI Model (SAAIM), which was constructed by integrating Seasonal Autoregressive Integrated Moving Average model and XGBoost model using a self-adaptive weight adjustment mechanism. SAAIM was applied to ILI% forecast in Chongqing from 2017 to 2018, of which the performance was compared with three previously available models on forecasting. Findings: ILI% showed an irregular seasonal trend from 2012 to 2018 in Chongqing. Compared with three reference models, SAAIM achieved the best performance on forecasting ILI% of Chongqing with the mean absolute percentage error (MAPE) of 11·9%, 7·5%, and 11·9% during the periods of the year 2014-2016, 2017, and 2018 respectively. Among the three categories of source data, historical influenza activity contributed the most to the forecast accuracy by decreasing the MAPE by 19·6%, 43·1%, and 11·1%, followed by weather information (MAPE reduced by 3·3%, 17·1%, and 2·2%), and Internet-related public sentiment data (MAPE reduced by 1·1%, 0·9%, and 1·3%). Interpretation: Accurate influenza forecast in areas with irregular seasonal influenza trends can be made by SAAIM with multi-source electronic data.

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Section: Introductionmentioning

confidence: 99%

Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

Xu²,

et al. 2019

EBioMedicine

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“…Chickens were an important carrier in the H7N9 virus spreading from Guangxi to Wenshan. Similar findings from Chongqing also demonstrated a high positive rate of H7N9 infection in live chickens transported from other provinces between February and June 2017 [23]. However, due to the low pathogenicity of the H7N9 virus causing asymptomatic infections and circulating silently in chickens, it was impossible to predict a possible human infection by infected chickens without any laboratory tests [24,25] Thus, virological screening in chickens before cross-regional transportation is necessary to prevent H7N9 virus spread.…”

Section: Discussionmentioning

confidence: 77%

Emergence of human avian influenza A(H7N9) virus infections in Wenshan City in Southwest China, 2017

Jiang

Zhao

et al. 2020

BMC Infect Dis

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Background: The emergence of human infection with avian influenza A(H7N9) virus was reported in Wenshan City, southwestern China in 2017. The study describes the epidemiological and virological features of the outbreak and discusses the origin of the infection. Methods: Poultry exposure and timelines of key events for each patient were collected. Samples derived from the patients, their close contacts, and environments were tested for influenza A(H7N9) virus by real-time reverse transcription polymerase chain reaction. Genetic sequencing and phylogenetic analysis were also conducted. Results: Five patients were reported in the outbreak. An epidemiological investigation showed that all patients had been exposed at live poultry markets. The A(H7N9) isolates from these patients had low pathogenicity in avian species. Both epidemiological investigations of chicken sources and phylogenetic analysis of viral gene sequences indicated that the source of infection was from Guangxi Province, which lies 100 km to the east of Wenshan City. Conclusions: In the study, a sudden emergence of human cases of H7N9 was documented in urban area of Wenshan City. Chickens were an important carrier in the H7N9 virus spreading from Guangxi to Wenshan. Hygienic management of live poultry markets and virological screening of chickens transported across regions should be reinforced to limit the spread of H7N9 virus.

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“…Similar findings from Chongqing also demonstrated a high positive rate of H7N9 infection in live chickens transported from other provinces between February and June 2017. [15] However, due to the low pathogenicity of the H7N9 virus causing asymptomatic infections and circulating silently in chickens, it was impossible to predict a possible human infection by infected chickens without any laboratory tests. [16] [17] Thus, virological screening in chickens before cross-regional transportation is necessary to prevent H7N9 virus spread.…”

Section: Discussionmentioning

confidence: 99%

Emergence of human avian influenza A(H7N9) virus infections in Wenshan City in Southwest China, 2017

Zhao

et al. 2019

Preprint

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Background: The emergence of human infection with avian influenza A(H7N9) virus was reported in Wenshan City, southwestern China in 2017. The study describes the epidemiological and virological features of the outbreak and discusses the origin of the infection. Methods: Poultry exposure and timelines of key events for each patient were collected. Samples derived from the patients, their close contacts, and environments were tested for influenza A(H7N9) virus by real-time reverse transcription polymerase chain reaction. Genetic sequencing and phylogenetic analysis were also conducted. Results: Five patients were reported in the outbreak. An epidemiological investigation showed that all patients had been exposed at live poultry markets. Virus isolates from these patients had low pathogenicity in avian species. Both epidemiological investigations of chicken sources and phylogenetic analysis of viral gene sequences indicated that the source of infection was from Guangxi Province. Conclusions: The transmission route spanned a long geographical region, with virus spreading from east to west. Chickens were an important carrier in the H7N9 virus spreading from Guangxi to Wenshan. Hygienic management of live poultry markets and virological screening of chickens transported across regions should be reinforced to limit the spread of H7N9 virus.

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Influenza A(H7N9) virus emerged and resulted in human infections in Chongqing, southwestern China since 2017

Cited by 6 publications

References 28 publications

Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

Emergence of human avian influenza A(H7N9) virus infections in Wenshan City in Southwest China, 2017

Emergence of human avian influenza A(H7N9) virus infections in Wenshan City in Southwest China, 2017

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