Literature DB >> 32214743

Influence of extreme weather and meteorological anomalies on outbreaks of influenza A (H1N1).

Hong Xiao1, HuaiYu Tian1, XiaoLing Lin1, LiDong Gao2, XiangYu Dai1, XiXing Zhang3, BiYun Chen3, Jian Zhao4, JingZhe Xu1.   

Abstract

Biological experiments and epidemiological evidence indicate that variations in environment have important effect on the occurrence and transmission of epidemic influenza. It is therefore important to understand the characteristic patterns of transmission for prevention of disease and reduction of disease burden. Based on case records, we analyzed the environmental characteristics including climate variables in Changsha, and then constructed a meteorological anomaly susceptive-infective-removal (SIR) model on the basis of the results of influenza A (H1N1) transmission. The results showed that the outbreak of influenza A (H1N1) in Changsha showed significant correlation with meteorological conditions; the spread of influenza was sensitive to meteorological anomalies, and that the outbreak of influenza A (H1N1) in Changsha was influenced by a combination of absolute humidity anomalous weather conditions, contact rates of the influenza patients and changes in population movements. These findings will provide helpful information regarding prevention strategies under different conditions, a fresh understanding of the emergence and re-emergence of influenza outbreaks, and a new perspective on the transmission dynamics of influenza.
© The Author(s) 2012.

Entities:  

Keywords:  SIR model; absolute humidity; geographic information system; influenza A (H1N1); meteorological anomaly

Year:  2012        PMID: 32214743      PMCID: PMC7088951          DOI: 10.1007/s11434-012-5571-7

Source DB:  PubMed          Journal:  Chin Sci Bull        ISSN: 1001-6538


  4 in total

Review 1.  Clinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review.

Authors:  Esteban Ortiz-Prado; Katherine Simbaña-Rivera; Lenin Gómez-Barreno; Mario Rubio-Neira; Linda P Guaman; Nikolaos C Kyriakidis; Claire Muslin; Ana María Gómez Jaramillo; Carlos Barba-Ostria; Doménica Cevallos-Robalino; Hugo Sanches-SanMiguel; Luis Unigarro; Rasa Zalakeviciute; Naomi Gadian; Andrés López-Cortés
Journal:  Diagn Microbiol Infect Dis       Date:  2020-05-30       Impact factor: 2.803

2.  Does the weather play a role in the spread of pandemic influenza? A study of H1N1pdm09 infections in France during 2009-2010.

Authors:  M Vittecoq; B Roche; J-M Cohen; F Renaud; F Thomas; M Gauthier-Clerc
Journal:  Epidemiol Infect       Date:  2015-06-26       Impact factor: 4.434

3.  Effect of meteorological factors on the activity of influenza in Chongqing, China, 2012-2019.

Authors:  Li Qi; Tian Liu; Yuan Gao; Dechao Tian; Wenge Tang; Qin Li; Luzhao Feng; Qiyong Liu
Journal:  PLoS One       Date:  2021-02-03       Impact factor: 3.240

4.  A data driven time-dependent transmission rate for tracking an epidemic: a case study of 2019-nCoV.

Authors:  Norden E Huang; Fangli Qiao
Journal:  Sci Bull (Beijing)       Date:  2020-02-07       Impact factor: 11.780

  4 in total

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