Literature DB >> 20377733

Modelling the effect of temperature on transmission of dengue.

P Barbazan1, M Guiserix, W Boonyuan, W Tuntaprasart, D Pontier, J-P Gonzalez.   

Abstract

The main entomological parameters involved in the rate of dengue virus transmission include the longevity of female mosquitoes, the time interval between bites and the extrinsic incubation period of the virus. Field and laboratory data provide estimates for these parameters, but their interactions with other factors (e.g. host population density and environmental parameters) make their integration into a transmission model quite complex. To estimate the impact of these parameters on transmission, we developed a model of virus transmission by a vector population which predicts the number of potentially infective bites under a range of temperatures and entomological parameters, including the daily survival rate of females, the interval between bites and the extrinsic incubation period. Results show that in a stable population, an increase in mosquito longevity disproportionately enhances the number of potential transmissions (e.g. by as much as five times when the survival rate rises from 0.80 to 0.95). Halving the length of the biting interval with a 10- degrees C rise in temperature increases the transmission rate by at least 2.4 times. Accordingly, the model can predict changes in dengue transmission associated with short-term variation in seasonal temperature and also with potentially long-lasting increases in global temperatures.

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Year:  2010        PMID: 20377733     DOI: 10.1111/j.1365-2915.2009.00848.x

Source DB:  PubMed          Journal:  Med Vet Entomol        ISSN: 0269-283X            Impact factor:   2.739


  26 in total

Review 1.  Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission.

Authors:  Paul E Parham; Joanna Waldock; George K Christophides; Deborah Hemming; Folashade Agusto; Katherine J Evans; Nina Fefferman; Holly Gaff; Abba Gumel; Shannon LaDeau; Suzanne Lenhart; Ronald E Mickens; Elena N Naumova; Richard S Ostfeld; Paul D Ready; Matthew B Thomas; Jorge Velasco-Hernandez; Edwin Michael
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-05       Impact factor: 6.237

2.  Predicting ectotherm disease vector spread--benefits from multidisciplinary approaches and directions forward.

Authors:  Stephanie Margarete Thomas; Carl Beierkuhnlein
Journal:  Naturwissenschaften       Date:  2013-03-27

3.  Extrinsic Incubation Period of Dengue: Knowledge, Backlog, and Applications of Temperature Dependence.

Authors:  Nils Benjamin Tjaden; Stephanie Margarete Thomas; Dominik Fischer; Carl Beierkuhnlein
Journal:  PLoS Negl Trop Dis       Date:  2013-06-27

4.  Testing the impact of virus importation rates and future climate change on dengue activity in Malaysia using a mechanistic entomology and disease model.

Authors:  C R Williams; B S Gill; G Mincham; A H Mohd Zaki; N Abdullah; W R W Mahiyuddin; R Ahmad; M K Shahar; D Harley; E Viennet; A Azil; A Kamaluddin
Journal:  Epidemiol Infect       Date:  2015-01-16       Impact factor: 4.434

5.  Vertical Transmission of Zika Virus in Aedes aegypti Produces Potentially Infectious Progeny.

Authors:  Genevieve Comeau; Robert A Zinna; Taylor Scott; Kacey Ernst; Kathleen Walker; Yves Carrière; Michael A Riehle
Journal:  Am J Trop Med Hyg       Date:  2020-06-04       Impact factor: 2.345

6.  Effects of fluctuating daily temperatures at critical thermal extremes on Aedes aegypti life-history traits.

Authors:  Lauren B Carrington; M Veronica Armijos; Louis Lambrechts; Christopher M Barker; Thomas W Scott
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

7.  Hot spot detection and spatio-temporal dispersion of dengue fever in Hanoi, Vietnam.

Authors:  Do Thi Thanh Toan; Wenbiao Hu; Pham Quang Thai; Luu Ngoc Hoat; Pamela Wright; Pim Martens
Journal:  Glob Health Action       Date:  2013-01-24       Impact factor: 2.640

8.  Fluctuations at a low mean temperature accelerate dengue virus transmission by Aedes aegypti.

Authors:  Lauren B Carrington; M Veronica Armijos; Louis Lambrechts; Thomas W Scott
Journal:  PLoS Negl Trop Dis       Date:  2013-04-25

9.  A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data.

Authors:  Anna L Buczak; Phillip T Koshute; Steven M Babin; Brian H Feighner; Sheryl H Lewis
Journal:  BMC Med Inform Decis Mak       Date:  2012-11-05       Impact factor: 2.796

10.  Climatic factors influencing dengue cases in Dhaka city: a model for dengue prediction.

Authors:  Md Nazmul Karim; Saif Ullah Munshi; Nazneen Anwar; Md Shah Alam
Journal:  Indian J Med Res       Date:  2012-07       Impact factor: 2.375

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