Literature DB >> 21080320

Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea.

Penny Masuoka1, Terry A Klein, Heung-Chul Kim, David M Claborn, Nicole Achee, Richard Andre, Judith Chamberlin, Jennifer Small, Assaf Anyamba, Dong-Kyu Lee, Suk H Yi, Michael Sardelis, Young-Ran Ju, John Grieco.   

Abstract

Over 35,000 cases of Japanese encephalitis (JE) are reported worldwide each year. Culex tritaeniorhynchus is the primary vector of the JE virus, while wading birds are natural reservoirs and swine amplifying hosts. As part of a JE risk analysis, the ecological niche modeling programme, Maxent, was used to develop a predictive model for the distribution of Cx. tritaeniorhynchus in the Republic of Korea, using mosquito collection data, temperature, precipitation, elevation, land cover and the normalized difference vegetation index (NDVI). The resulting probability maps from the model were consistent with the known environmental limitations of the mosquito with low probabilities predicted for forest covered mountains. July minimum temperature and land cover were the most important variables in the model. Elevation, summer NDVI (July-September), precipitation in July, summer minimum temperature (May-August) and maximum temperature for fall and winter months also contributed to the model. Comparison of the Cx. tritaeniorhynchus model to the distribution of JE cases in the Republic of Korea from 2001 to 2009 showed that cases among a highly vaccinated Korean population were located in high-probability areas for Cx. tritaeniorhynchus. No recent JE cases were reported from the eastern coastline, where higher probabilities of mosquitoes were predicted, but where only small numbers of pigs are raised. The geographical distribution of reported JE cases corresponded closely with the predicted high-probability areas for Cx. tritaeniorhynchus, making the map a useful tool for health risk analysis that could be used for planning preventive public health measures.

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Year:  2010        PMID: 21080320     DOI: 10.4081/gh.2010.186

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  16 in total

1.  Ecological niche modelling of potential West Nile virus vector mosquito species and their geographical association with equine epizootics in Italy.

Authors:  Lapo Mughini-Gras; Paolo Mulatti; Francesco Severini; Daniela Boccolini; Roberto Romi; Gioia Bongiorno; Cristina Khoury; Riccardo Bianchi; Fabrizio Montarsi; Tommaso Patregnani; Lebana Bonfanti; Giovanni Rezza; Gioia Capelli; Luca Busani
Journal:  Ecohealth       Date:  2013-10-12       Impact factor: 3.184

2.  The spatial heterogeneity between Japanese encephalitis incidence distribution and environmental variables in Nepal.

Authors:  Daniel E Impoinvil; Tom Solomon; W William Schluter; Ajit Rayamajhi; Ram Padarath Bichha; Geeta Shakya; Cyril Caminade; Matthew Baylis
Journal:  PLoS One       Date:  2011-07-21       Impact factor: 3.240

3.  The abundance and host-seeking behavior of culicine species (Diptera: Culicidae) and Anopheles sinensis in Yongcheng city, People's Republic of China.

Authors:  Xiao-Bo Liu; Qi-Yong Liu; Yu-Hong Guo; Jing-Yi Jiang; Dong-Sheng Ren; Guang-Chao Zhou; Can-Jun Zheng; Yan Zhang; Jing-Li Liu; Zhi-Fang Li; Yun Chen; Hong-Sheng Li; Lindsay C Morton; Hua-Zhong Li; Qun Li; Wei-Dong Gu
Journal:  Parasit Vectors       Date:  2011-11-24       Impact factor: 3.876

4.  Ecological niche modeling to estimate the distribution of Japanese encephalitis virus in Asia.

Authors:  Robin H Miller; Penny Masuoka; Terry A Klein; Heung-Chul Kim; Todd Somer; John Grieco
Journal:  PLoS Negl Trop Dis       Date:  2012-06-19

5.  Ecological niche modelling of Rift Valley fever virus vectors in Baringo, Kenya.

Authors:  Alfred O Ochieng; Mark Nanyingi; Edwin Kipruto; Isabella M Ondiba; Fred A Amimo; Christopher Oludhe; Daniel O Olago; Isaac K Nyamongo; Benson B A Estambale
Journal:  Infect Ecol Epidemiol       Date:  2016-11-17

6.  Measure post-bloodmeal dispersal of mosquitoes and duration of radioactivity by using the isotope ³²P.

Authors:  Chongxing Zhang; Peng Cheng; Bo Liu; Guihong Shi; Huaiwei Wang; Lijuan Liu; Xiuxia Guo; Huiqing Ren; Maoqing Gong
Journal:  J Insect Sci       Date:  2014-01-01       Impact factor: 1.857

7.  Behaviors Related to Mosquito-Borne Diseases among Different Ethnic Minority Groups along the China-Laos Border Areas.

Authors:  Chao Wu; Xiaofang Guo; Jun Zhao; Quan Lv; Hongbin Li; Edward B McNeil; Virasakdi Chongsuvivatwong; Hongning Zhou
Journal:  Int J Environ Res Public Health       Date:  2017-10-15       Impact factor: 3.390

8.  Ecological niche modeling and land cover risk areas for rift valley fever vector, culex tritaeniorhynchus giles in Jazan, Saudi Arabia.

Authors:  Mohamed F Sallam; Azzam M Al Ahmed; Mahmoud S Abdel-Dayem; Mohamed A R Abdullah
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

9.  Nonlinear and Threshold Effect of Meteorological Factors on Japanese Encephalitis Transmission in Southwestern China.

Authors:  Zhidong Liu; Yiwen Zhang; Michael Xiaoliang Tong; Ying Zhang; Jianjun Xiang; Qi Gao; Shuzi Wang; Shuyue Sun; Baofa Jiang; Peng Bi
Journal:  Am J Trop Med Hyg       Date:  2020-10-22       Impact factor: 3.707

10.  The effect of precipitation on the transmission of Japanese encephalitis (JE) virus in nature: a complex effect on antibody-positive rate to JE virus in sentinel pigs.

Authors:  Ichiro Kurane; Ken-ichi Shibasaki; Akira Kotaki; Yasuaki Hijioka; Tomohiko Takasaki
Journal:  Int J Environ Res Public Health       Date:  2013-05-03       Impact factor: 3.390

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