Literature DB >> 17244411

Climate, mosquito indices and the epidemiology of dengue fever in Trinidad (2002-2004).

D D Chadee1, B Shivnauth, S C Rawlins, A A Chen.   

Abstract

Between January 2002 and December 2004, a population-based study on the effects of climate and mosquito indices on the incidences of dengue fever (DF) and dengue haemorrhagic fever (DHF) was conducted in Trinidad, West Indies. The incidence of DF was 5.05 cases/1000 population in 2002, largely as the result of a major outbreak, but declined to 0.49 case/1000 in 2004. The monthly Aedes aegypti (L.) Breteau indices (BI) did not decline over the 3-year study period, however, but increased from a mean of 29 in 2002 to one of 36 in 2004, with seasonal variations (BI of 30-46 and 20-34 were recorded in the wet and dry seasons, respectively). No significant correlations were observed between temperature and DF or DHF incidence but rainfall was found to be significantly correlated with DF incidence, with a clearly defined 'dengue season', between June and November, in two of the study years. The apparent decline in dengue transmission since 2002 appears to be largely attributable to the development of 'herd immunity' in the general population and not to the attempts at vector control. Since the introduction of new serotypes or the fading of the herd immunity could lead to an explosive epidemic of dengue in Trinidad, there is clearly a need for continued surveillance.

Entities:  

Mesh:

Year:  2007        PMID: 17244411     DOI: 10.1179/136485907X157059

Source DB:  PubMed          Journal:  Ann Trop Med Parasitol        ISSN: 0003-4983


  34 in total

1.  Dengue hemorrhagic fever in Trinidad and Tobago: a case for a conservative approach to platelet transfusion.

Authors:  Anu Sharma; Kenneth Charles; Dave Chadee; Surujpaul Teelucksingh
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2.  Mining local climate data to assess spatiotemporal dengue fever epidemic patterns in French Guiana.

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Journal:  J Am Med Inform Assoc       Date:  2014-02-18       Impact factor: 4.497

3.  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

4.  El Niño Southern Oscillation and vegetation dynamics as predictors of dengue fever cases in Costa Rica.

Authors:  D O Fuller; A Troyo; J C Beier
Journal:  Environ Res Lett       Date:  2009-03-04       Impact factor: 6.793

5.  Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study.

Authors:  Masahiro Hashizume; Ashraf M Dewan; Toshihiko Sunahara; M Ziaur Rahman; Taro Yamamoto
Journal:  BMC Infect Dis       Date:  2012-04-24       Impact factor: 3.090

6.  Ecological factors associated with dengue fever in a Central Highlands province, Vietnam.

Authors:  Hau V Pham; Huong T M Doan; Thao T T Phan; Nguyen N Tran Minh
Journal:  BMC Infect Dis       Date:  2011-06-16       Impact factor: 3.090

7.  Using geographically weighted regression (GWR) to explore spatial varying relationships of immature mosquitoes and human densities with the incidence of dengue.

Authors:  Chia-Hsien Lin; Tzai-Hung Wen
Journal:  Int J Environ Res Public Health       Date:  2011-07-06       Impact factor: 3.390

8.  Time series analysis of dengue incidence in Guadeloupe, French West Indies: forecasting models using climate variables as predictors.

Authors:  Myriam Gharbi; Philippe Quenel; Joël Gustave; Sylvie Cassadou; Guy La Ruche; Laurent Girdary; Laurence Marrama
Journal:  BMC Infect Dis       Date:  2011-06-09       Impact factor: 3.090

9.  Population dynamics of Aedes aegypti and dengue as influenced by weather and human behavior in San Juan, Puerto Rico.

Authors:  Roberto Barrera; Manuel Amador; Andrew J MacKay
Journal:  PLoS Negl Trop Dis       Date:  2011-12-20

10.  Developing a vulnerability mapping methodology: applying the water-associated disease index to dengue in Malaysia.

Authors:  Sarah K Dickin; Corinne J Schuster-Wallace; Susan J Elliott
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

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