Literature DB >> 19157509

Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan.

Pei-Chih Wu1, Jinn-Guey Lay, How-Ran Guo, Chuan-Yao Lin, Shih-Chun Lung, Huey-Jen Su.   

Abstract

Our study conducted spatial analysis to examine how temperature and other environmental factors might affect dengue fever distributions, and to forecast areas with potential risk for dengue fever endemics with predicted climatic change in Taiwan. Geographic information system (GIS) was used to demonstrate the spatial patterns of all studied variables across 356 townships. Relationships between cumulative incidence of dengue fever, climatic and non-climatic factors were explored. Numbers of months with average temperature higher than 18 degrees C per year and degree of urbanization were found to be associated with increasing risk of dengue fever incidence at township level. With every 1 degrees C increase of monthly average temperature, the total population at risk for dengue fever transmission would increase by 1.95 times (from 3,966,173 to 7,748,267). A highly-suggested warmer trend, with a statistical model, across the Taiwan Island is predicted to result in a sizable increase in population and geographical areas at higher risk for dengue fever epidemics.

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Year:  2009        PMID: 19157509     DOI: 10.1016/j.scitotenv.2008.11.034

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  69 in total

1.  Spatial distribution & physicochemical characterization of the breeding habitats of Aedes aegypti in & around Kolkata, West Bengal, India.

Authors:  Soumendranath Chatterjee; Arunima Chakraborty; Shuvra Kanti Sinha
Journal:  Indian J Med Res       Date:  2015-12       Impact factor: 2.375

2.  Climate variability and dengue fever in warm and humid Mexico.

Authors:  Felipe J Colón-González; Iain R Lake; Graham Bentham
Journal:  Am J Trop Med Hyg       Date:  2011-05       Impact factor: 2.345

3.  Assessing spatio-temporal trend of vector breeding and dengue fever incidence in association with meteorological conditions.

Authors:  Afifa Malik; Abdullah Yasar; Amtul Bari Tabinda; Ihsan Elahi Zaheer; Khalida Malik; Adeeba Batool; Yusra Mahfooz
Journal:  Environ Monit Assess       Date:  2017-03-28       Impact factor: 2.513

4.  Modeling the spatially varying risk factors of dengue fever in Jhapa district, Nepal, using the semi-parametric geographically weighted regression model.

Authors:  Bipin Kumar Acharya; ChunXiang Cao; Tobia Lakes; Wei Chen; Shahid Naeem; Shreejana Pandit
Journal:  Int J Biometeorol       Date:  2018-09-04       Impact factor: 3.787

5.  Weather-driven variation in dengue activity in Australia examined using a process-based modeling approach.

Authors:  Melanie Bannister-Tyrrell; Craig Williams; Scott A Ritchie; Gina Rau; Janette Lindesay; Geoff Mercer; David Harley
Journal:  Am J Trop Med Hyg       Date:  2012-11-19       Impact factor: 2.345

6.  Potential distribution of dengue fever under scenarios of climate change and economic development.

Authors:  Christofer Aström; Joacim Rocklöv; Simon Hales; Andreas Béguin; Valerie Louis; Rainer Sauerborn
Journal:  Ecohealth       Date:  2013-02-14       Impact factor: 3.184

7.  Dengue transmission and urban environmental gradients.

Authors:  Viroj Wiwanitkit
Journal:  Int J Biometeorol       Date:  2014-06-27       Impact factor: 3.787

Review 8.  A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Authors:  A K Lyseen; C Nøhr; E M Sørensen; O Gudes; E M Geraghty; N T Shaw; C Bivona-Tellez
Journal:  Yearb Med Inform       Date:  2014-08-15

9.  Mathematical assessment of the role of temperature and rainfall on mosquito population dynamics.

Authors:  Ahmed Abdelrazec; Abba B Gumel
Journal:  J Math Biol       Date:  2016-09-19       Impact factor: 2.259

10.  Climate change could threaten blood supply by altering the distribution of vector-borne disease: an Australian case-study.

Authors:  Hilary J Bambrick; Rosalie E Woodruff; Ivan C Hanigan
Journal:  Glob Health Action       Date:  2009-12-10       Impact factor: 2.640

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