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3. The role of absolute humidity in influenza transmission in Beijing, China: risk assessment and attributable fraction identification.

Author

Zhang, Li, Ma, Chunna, Duan, Wei, Yuan, Jie, Wu, Shuangsheng, Sun, Ying, Zhang, Jiaojiao, Liu, Jue, Wang, Quanyi, and Liu, Min

Subjects
HUMIDITY, RISK assessment, SEASONAL influenza, DESCRIPTIVE statistics, INFLUENZA, ETIOLOGIC fraction, INFECTIOUS disease transmission
Abstract

To assess the impact of absolute humidity on influenza transmission in Beijing from 2014 to 2019, we estimated the influenza transmissibility via the instantaneous reproduction number (Rt), and evaluated its nonlinear exposure-response association and delayed effects with absolute humidity by using the distributed lag nonlinear model (DLNM). Attributable fraction (AF) of Rt due to absolute humidity was calculated. The result showed a significant M-shaped relationship between Rt and absolute humidity. Compared with the effect of high absolute humidity, the low absolute humidity effect was more immediate with the most significant effect observed at lag 6 days. AFs were relatively high for the group aged 15–24 years, and was the lowest for the group aged 0–4 years with low absolute humidity. Therefore, we concluded that the component attributed to the low absolute humidity effect is greater. Young and middle-aged people are more sensitive to low absolute humidity than children and elderly. [ABSTRACT FROM AUTHOR]

Published
2024
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11. SARS-CoV-2 containment was achievable during the early stage of the pandemic: a retrospective modelling study of the Xinfadi outbreak in Beijing

Author

Wang, Yan, primary, Sun, Kaiyuan, additional, Pan, Yang, additional, Yi, Lan, additional, Huo, Da, additional, Wu, Yanpeng, additional, Dong, Shuaibing, additional, Guo, Jinxin, additional, Dou, Xiangfeng, additional, Wang, Wei, additional, Wu, Shuangsheng, additional, Bai, Xufang, additional, Yu, Hongjie, additional, and Wang, Quanyi, additional

Published
2022
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17. Group A streptococcus strains circulating during scarlet fever epidemic, Beijing, China, 2011

Author

Yang, Peng, Peng, Xiaomin, Zhang, Daitao, Wu, Shuangsheng, Liu, Yimeng, Cui, Shujuan, Lu, Guilan, Duan, Wei, Shi, Weixian, Liu, Shuang, Li, Jing, and Wang, Quanyi

Subjects
Streptococcus pyogenes -- Health aspects -- Identification and classification, Scarlet fever -- Causes of -- Drug therapy, Health
Abstract

Streptococcus pyogenes, also known as group A Streptococcus (GAS), is a common human pathogen that can induce a wide spectrum of diseases, ranging from noninvasive diseases, such as pharyngitis, scarlet [...]

Published
2013
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21. Influenza-associated cardiovascular mortality in older adults in Beijing, China: a population-based time-series study

Author

Liu, Rong, primary, Liu, Xiaoshuang, additional, Yang, Peng, additional, Du, Xin, additional, He, Liu, additional, Chen, Tiange, additional, Li, Xiang, additional, Xie, Guotong, additional, Wu, Shuangsheng, additional, Su, Jianting, additional, Xia, Shijun, additional, Jiang, Chao, additional, Huffman, Mark D., additional, MacIntyre, Chandini Raina, additional, Wei, Zaihua, additional, Wang, Quanyi, additional, Dong, Jianzeng, additional, and Anderson, Craig, additional

Published
2020
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23. Role of presymptomatic transmission of COVID-19: evidence from Beijing, China

Author

Zhang, Yi, primary, Muscatello, David, additional, Tian, Yi, additional, Chen, Yanwei, additional, Li, Shuang, additional, Duan, Wei, additional, Ma, Chunna, additional, Sun, Ying, additional, Wu, Shuangsheng, additional, Ge, Lin, additional, Yang, Peng, additional, Jia, Lei, additional, Wang, Quanyi, additional, and MacIntyre, Chandini Raina, additional

Published
2020
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26. Avian influenza A (H9N2) virus infections among poultry workers, swine workers, and the general population in Beijing, China, 2013‐2016: A serological cohort study

Author

Ma, Chunna, primary, Cui, Shujuan, additional, Sun, Ying, additional, Zhao, Jiachen, additional, Zhang, Daitao, additional, Zhang, Li, additional, Zhang, Yi, additional, Pan, Yang, additional, Wu, Shuangsheng, additional, Duan, Wei, additional, Zhang, Man, additional, Yang, Peng, additional, and Wang, Quanyi, additional

Published
2019
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30. Influenza vaccine effectiveness in preventing laboratory-confirmed influenza in outpatient settings: A test-negative case-control study in Beijing, China, 2016/17 season

Author

Wu, Shuangsheng, primary, Pan, Yang, additional, Zhang, Xinxin, additional, Zhang, Li, additional, Duan, Wei, additional, Ma, Chunna, additional, Zhang, Yi, additional, Zhang, Man, additional, Sun, Ying, additional, Yang, Peng, additional, Wang, Quanyi, additional, and Ma, Jun, additional

Published
2018
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31. Moderate influenza vaccine effectiveness against influenza A(H1N1)pdm09 virus and low effectiveness against A(H3N2) virus among older adults during 2013–2014 influenza season in Beijing, China

Author

Zhang, Li, primary, Pan, Yang, additional, Ma, Chunna, additional, Duan, Wei, additional, Sun, Ying, additional, Wu, Shuangsheng, additional, Zhang, Man, additional, Tian, Yi, additional, Zheng, Yang, additional, Yang, Peng, additional, and Wang, Quanyi, additional

Published
2018
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32. Infectious Disease-Specific Health Literacy Survey

Author

Yang, Peng, primary, Dunzhu, Ciren, additional, Widdowson, Marc-Alain, additional, Wu, Shuangsheng, additional, Ciren, Pengcuo, additional, Duoji, Dunzhu, additional, Pingcuo, Wangqing, additional, Dun, Bian, additional, Ma, Chunna, additional, Li, Jie, additional, Pang, Xinghuo, additional, and Wang, Quanyi, additional

Published
2018
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36. Role of presymptomatic transmission of COVID-19: evidence from Beijing, China

Author

Zhang, Yi, Muscatello, David, Tian, Yi, Chen, Yanwei, Li, Shuang, Duan, Wei, Ma, Chunna, Sun, Ying, Wu, Shuangsheng, Ge, Lin, Yang, Peng, Jia, Lei, Wang, Quanyi, and MacIntyre, Chandini Raina

Abstract

BackgroundThe presymptomatic transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been documented in limited clusters, and it is predicted through modelling. However, there is a lack of evidence from observations with a large sample size.MethodsWe used data from meticulous contact tracing of people exposed to cases of SARS-CoV-2 to estimate the proportion of cases that result from the presymptomatic transmission of the virus in Beijing during January 2020 and February 2020.ResultsThe results showed that presymptomatic transmission occurred in at least 15% of 100 secondary COVID-19 cases. The earliest presymptomatic contact event occurred 5 days prior to the index case’s onset of symptoms, and this occurred in two clusters.ConclusionsThe finding suggested that the contact tracing period should be earlier and highlighted the importance of preventing transmission opportunities well before the onset of symptoms.

Published
2021
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41. Infectious disease-specific health literacy in Tibet, China

Author

Yang, Peng, primary, Dunzhu, Ciren, additional, Widdowson, Marc-Alain, additional, Wu, Shuangsheng, additional, Ciren, Pengcuo, additional, Duoji, Dunzhu, additional, Pingcuo, Wangqing, additional, Dun, Bian, additional, Ma, Chunna, additional, Li, Jie, additional, Pang, Xinghuo, additional, and Wang, Quanyi, additional

Published
2016
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44. Mortality burden from seasonal influenza and 2009 H1N1 pandemic influenza in Beijing, China, 2007‐2013.

Author

Wu, Shuangsheng, Wei, Zaihua, Greene, Carolyn M., Yang, Peng, Su, Jianting, Song, Ying, Iuliano, Angela D., and Wang, Quanyi

Subjects
*SEASONAL influenza, *H1N1 influenza, *MORTALITY, *BINOMIAL theorem
Abstract

Background: Data about influenza mortality burden in northern China are limited. This study estimated mortality burden in Beijing associated with seasonal influenza from 2007 to 2013 and the 2009 H1N1 pandemic. Methods: We estimated influenza‐associated excess mortality by fitting a negative binomial model using weekly mortality data as the outcome of interest with the percent of influenza‐positive samples by type/subtype as predictor variables. Results: From 2007 to 2013, an average of 2375 (CI 1002‐8688) deaths was attributed to influenza per season, accounting for 3% of all deaths. Overall, 81% of the deaths attributed to influenza occurred in adults aged ≥65 years, and the influenza‐associated mortality rate in this age group was higher than the rate among those aged <65 years (113.6 [CI 49.5‐397.4] versus 4.4 [CI 1.7‐18.6] per 100 000, P < .05). The mortality rate associated with the 2009 H1N1 pandemic in 2009/2010 was comparable to that of seasonal influenza during the seasonal years (19.9 [CI 10.4‐33.1] vs 17.2 [CI 7.2‐67.5] per 100 000). People aged <65 years represented a greater proportion of all deaths during the influenza A(H1N1)pdm09 pandemic period than during the seasonal epidemics (27.0% vs 17.7%, P < .05). Conclusions: Influenza is an important contributor to mortality in Beijing, especially among those aged ≥65 years. These results support current policies to give priority to older adults for seasonal influenza vaccination and help to define the populations at highest risk for death that could be targeted for pandemic influenza vaccination. [ABSTRACT FROM AUTHOR]

Published
2018
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49. Using a community based survey of healthcare seeking behavior to estimate the actual magnitude of influenza among adults in Beijing during 2013-2014 season.

Author

Xiaoli Wang, Shuangsheng Wu, Peng Yang, Hongjun Li, Yanhui Chu, Yaqing Tan, Weiyu Hua, Haiyan Zhang, Chao Li, Quanyi Wang, Wang, Xiaoli, Wu, Shuangsheng, Yang, Peng, Li, Hongjun, Chu, Yanhui, Tang, Yaqing, Hua, Weiyu, Zhang, Haiyan, Li, Chao, and Wang, Quanyi

Subjects
INFLUENZA, MEDICAL care, PUBLIC health surveillance, EPIDEMICS, BEHAVIOR, PATIENTS, INFLUENZA epidemiology, RESEARCH funding, SEASONS, SENTINEL health events, CROSS-sectional method, PATIENTS' attitudes
Abstract

Background: Due to a lack of survey of health care seeking behavior for influenza, the actual magnitude of influenza in Beijing of China has not been well described.Methods: During 2013-2014 influenza season, two cross-sectional household surveys were carried out respectively during the epidemic and non-epidemic season of influenza. A structured survey was undertaken with individuals who were ≥18 years selected by a multistage random sampling method in the study. Health care seeking behaviors were then examined to estimate the actual case number of influenza, using a multiplier model.Results: A total of 14,665 adults were interviewed. 61.9% of ILI cases consulted a physician. The consultation rate during epidemic period is higher than that during non-epidemic period (67.9% vs. 52.3%). Similarly, the proportion of healthcare usage of general hospital during epidemic period is higher than that was during non-epidemic period (27.1% vs. 19.0%, p = 0.008). Lack of insurance and education reduced healthcare seeking significantly in this study. It was estimated that there were 379,767 (90% CI = [281,934, 526,565]) confirmed cases of influenza amongst adults in Beijing, during 2013-2014 influenza season, with an incidence rate of 2.0%.Conclusions: The surveillance system for ILI and virological data has the potential to provide baseline case number to estimate the actual annual magnitude of influenza. Given the changes in healthcare seeking behavior over time, sentinel surveillance on healthcare seeking behavior are required to be established for better estimate of the true case number of influenza. [ABSTRACT FROM AUTHOR]

Published
2017
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