Literature DB >> 11700749

Use of a computer model to identify potential hotspots for dengue fever in New Zealand.

N de Wet1, W Ye, S Hales, R Warrick, A Woodward, P Weinstein.   

Abstract

AIMS: To describe the areas of potential dengue fever risk in New Zealand for present climatic conditions and projected scenarios of climate change.
METHODS: A computer model, the HOTSPOTS System, was developed. This allowed the integration of climatic, topographical, entomological, demographic, trade and travel data to generate spatial information describing vector introduction risk, potential vector distribution and dengue fever risk.
RESULTS: Under present climatic conditions, Auckland and Northland, and some coastal areas of other northern parts of the North Island, have a potential risk for dengue outbreaks supported by the vector Aedes albopictus. Greenhouse gas induced climate change could make these areas also receptive to Aedes aegypti--the more efficient tropical dengue vector--and increase the potential distribution of A. albopictus to much of the South Island.
CONCLUSIONS: Given the introduction of a competent vector, there is an appreciable risk of dengue fever occurring in New Zealand under present climatic conditions. Greenhouse gas induced climate change would substantially increase the magnitude and spatial extent of this risk.

Entities:  

Mesh:

Year:  2001        PMID: 11700749

Source DB:  PubMed          Journal:  N Z Med J        ISSN: 0028-8446


  9 in total

1.  Event history analysis of dengue fever epidemic and inter-epidemic spells in Barbados, Brazil, and Thailand.

Authors:  Daniel Parker; Darryl Holman
Journal:  Int J Infect Dis       Date:  2012-08-09       Impact factor: 3.623

2.  Chikungunya virus: a novel and potentially serious threat to New Zealand and the South Pacific islands.

Authors:  José G B Derraik; David Slaney; Edwin R Nye; Philip Weinstein
Journal:  Am J Trop Med Hyg       Date:  2010-10       Impact factor: 2.345

Review 3.  Climate change and threat of vector-borne diseases in India: are we prepared?

Authors:  Ramesh C Dhiman; Sharmila Pahwa; G P S Dhillon; Aditya P Dash
Journal:  Parasitol Res       Date:  2010-02-13       Impact factor: 2.289

4.  A biosecurity response to Aedes albopictus (Diptera: Culicidae) in Auckland, New Zealand.

Authors:  Peter Holder; Sherly George; Mark Disbury; Monica Singe; John M Kean; Andrew McFadden
Journal:  J Med Entomol       Date:  2010-07       Impact factor: 2.278

5.  Colonized Aedes albopictus and its sexual performance in the wild: implications for SIT technology and containment.

Authors:  Dieng Hamady; Norrafiza Binti Ruslan; Abu Hassan Ahmad; Che Salmah Md Rawi; Hamdan Ahmad; Tomomitsu Satho; Fumio Miake; Wan Fatma Zuharah; Yuki FuKumitsu; Ahmad Ramli Saad; Sudha Rajasaygar; Ronald Enrique Morales Vargas; Abdul Hafiz Ab Majid; Nik Fadzly; Idris Abd Ghani; Sazaly AbuBakar
Journal:  Parasit Vectors       Date:  2013-07-15       Impact factor: 3.876

Review 6.  Value of routine dengue diagnosis in endemic countries.

Authors:  James Ayukepi Ayukekbong; Olufunmilayo G Oyero; Samuel Ekpesu Nnukwu; Henry Nzike Mesumbe; Cajetang Nkong Fobisong
Journal:  World J Virol       Date:  2017-02-12

7.  Intercepted Mosquitoes at New Zealand's Ports of Entry, 2001 to 2018: Current Status and Future Concerns.

Authors:  Sherif E Ammar; Mary Mclntyre; Tom Swan; Julia Kasper; José G B Derraik; Michael G Baker; Simon Hales
Journal:  Trop Med Infect Dis       Date:  2019-07-05

8.  Mapping environmental dimensions of dengue fever transmission risk in the Aburrá Valley, Colombia.

Authors:  Sair Arboleda; Nicolas Jaramillo-O; A Townsend Peterson
Journal:  Int J Environ Res Public Health       Date:  2009-12-02       Impact factor: 3.390

9.  Spatial point analysis based on dengue surveys at household level in central Brazil.

Authors:  João B Siqueira-Junior; Ivan J Maciel; Christovam Barcellos; Wayner V Souza; Marilia S Carvalho; Nazareth E Nascimento; Renato M Oliveira; Otaliba Morais-Neto; Celina M T Martelli
Journal:  BMC Public Health       Date:  2008-10-20       Impact factor: 3.295

  9 in total

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