Literature DB >> 2861242

Epidemiological studies of hemorrhagic fever with renal syndrome: analysis of risk factors and mode of transmission.

Z Y Xu, C S Guo, Y L Wu, X W Zhang, K Liu.   

Abstract

During an outbreak of hemorrhagic fever with renal syndrome in the Anhui Province of China, a door-to-door survey was conducted of all of the 10,024 residents of eight village communities. The incidence rates were higher in males than in females and higher in adults than in children. Of all the residents surveyed, however, those who had slept on the ground or had been engaged in heavy farm work were at a significantly higher risk of illness than were those who slept on wooden beds or did light work. Among men who did heavy farm work and who gave a history of sleeping in straw huts on the drained swamp, the attack rate was 2.33 times higher than it was for those sleeping exclusively in their permanent homes. Among both sexes, threshers had a significantly higher attack rate than did nonthreshers. Suspicions that trombiculid mites or gamasoid mites act as vehicles of transmission cannot be accepted as an explanation for the association of the risk of illness with the type of work done and with sleeping arrangements. Circumstantial evidence supports our hypotheses of airborne transmission and transmission by inoculation of infectious materials into skin lesions.

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Year:  1985        PMID: 2861242     DOI: 10.1093/infdis/152.1.137

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  11 in total

Review 1.  The role of mites in the transmission and maintenance of Hantaan virus (Hantavirus: Bunyaviridae).

Authors:  Xue-jie Yu; Robert B Tesh
Journal:  J Infect Dis       Date:  2014-06-23       Impact factor: 5.226

Review 2.  A global perspective on hantavirus ecology, epidemiology, and disease.

Authors:  Colleen B Jonsson; Luiz Tadeu Moraes Figueiredo; Olli Vapalahti
Journal:  Clin Microbiol Rev       Date:  2010-04       Impact factor: 26.132

Review 3.  Seroepidemiologic studies of hantavirus infection among wild rodents in California.

Authors:  M Jay; M S Ascher; B B Chomel; M Madon; D Sesline; B A Enge; B Hjelle; T G Ksiazek; P E Rollin; P H Kass; K Reilly
Journal:  Emerg Infect Dis       Date:  1997 Apr-Jun       Impact factor: 6.883

4.  Emergence of hantaviral disease in the southwestern United States.

Authors:  B Hjelle; S Jenison; G Mertz; F Koster; K Foucar
Journal:  West J Med       Date:  1994-11

5.  Prevalence of serum IgG antibodies to Puumala virus (haemorrhagic fever with renal syndrome) in northern Sweden.

Authors:  C Ahlm; M Linderholm; P Juto; B Stegmayr; B Settergren
Journal:  Epidemiol Infect       Date:  1994-08       Impact factor: 2.451

6.  Ecological and epidemiological data on Hantavirus in bank vole populations in Belgium.

Authors:  R Verhagen; H Leirs; E Tkachenko; G van der Groen
Journal:  Arch Virol       Date:  1986       Impact factor: 2.574

7.  Relating increasing hantavirus incidences to the changing climate: the mast connection.

Authors:  Jan Clement; Jurgen Vercauteren; Willem W Verstraeten; Geneviève Ducoffre; José M Barrios; Anne-Mieke Vandamme; Piet Maes; Marc Van Ranst
Journal:  Int J Health Geogr       Date:  2009-01-16       Impact factor: 3.918

8.  Spatio-Temporal Pattern and Influencing Factors of Hemorrhagic Fever with Renal Syndrome (HFRS) in Hubei Province (China) between 2005 and 2014.

Authors:  Liang Ge; Youlin Zhao; Kui Zhou; Xiangming Mu; Haibo Yu; Yongfeng Wang; Ning Wang; Hong Fan; Liqiang Guo; XiXiang Huo
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

9.  Construction of a Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) Model and Comparative Analysis with GWR-Based Models for Hemorrhagic Fever with Renal Syndrome (HFRS) in Hubei Province (China).

Authors:  Liang Ge; Youlin Zhao; Zhongjie Sheng; Ning Wang; Kui Zhou; Xiangming Mu; Liqiang Guo; Teng Wang; Zhanqiu Yang; Xixiang Huo
Journal:  Int J Environ Res Public Health       Date:  2016-10-29       Impact factor: 3.390

10.  A new Seasonal Difference Space-Time Autoregressive Integrated Moving Average (SD-STARIMA) model and spatiotemporal trend prediction analysis for Hemorrhagic Fever with Renal Syndrome (HFRS).

Authors:  Youlin Zhao; Liang Ge; Yijun Zhou; Zhongfang Sun; Erlong Zheng; Xingmeng Wang; Yongchun Huang; Huiping Cheng
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

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