Literature DB >> 12067829

Dengue hemorrhagic fever epidemiology in Thailand: description and forecasting of epidemics.

Philippe Barbazan1, Sutee Yoksan, Jean-Paul Gonzalez.   

Abstract

Despite the use of a variety of control strategies, dengue hemorrhagic fever (DHF) control is a major and permanent challenge for public health services in Thailand and in Southeast Asia. In order to improve the efficiency of DHF control in Thailand, these activities have to concentrate on areas and populations at higher risk, which implies early identification of higher incidence periods. A retrospective study of spatial and temporal variations of DHF incidence in all 73 provinces of Thailand (1983-1995) allowed discrimination between seasonal (endemic) transmission dependent on climatic variations and vector density and non-seasonal (epidemic) transmission, mainly due to the occurrence of a new virus serotype in a population with low immunity. To identify epidemic months, which appear significantly clustered, a significant deviation from the monthly average incidence was defined. The occurrence of two consecutive epidemic months in a given area has a high probability (P = 0.66) of being followed by a cluster of 2-18 epidemic months (average: 7.7 months). This observation is proposed as a warning of epidemic outbreak enabling an early launch of control activities. As an example, when this method is retrospectively applied to the studied period, 11,388 province months (73 provinces x 156 months), 579 epidemic outbreaks (5.1% of the total) are identified. Control activities can thus be improved through early management and prevention of the 308,636 supplementary cases occurring during epidemics (37.0% of the total recorded).

Entities:  

Mesh:

Year:  2002        PMID: 12067829     DOI: 10.1016/s1286-4579(02)01589-7

Source DB:  PubMed          Journal:  Microbes Infect        ISSN: 1286-4579            Impact factor:   2.700


  19 in total

1.  Mining local climate data to assess spatiotemporal dengue fever epidemic patterns in French Guiana.

Authors:  Claude Flamand; Mickael Fabregue; Sandra Bringay; Vanessa Ardillon; Philippe Quénel; Jean-Claude Desenclos; Maguelonne Teisseire
Journal:  J Am Med Inform Assoc       Date:  2014-02-18       Impact factor: 4.497

2.  Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina.

Authors:  Aníbal E Carbajo; María V Cardo; Darío Vezzani
Journal:  Int J Health Geogr       Date:  2012-07-06       Impact factor: 3.918

3.  Sharing experiences: towards an evidence based model of dengue surveillance and outbreak response in Latin America and Asia.

Authors:  Shiraz Badurdeen; David Benitez Valladares; Jeremy Farrar; Ernesto Gozzer; Axel Kroeger; Novia Kuswara; Silvia Runge Ranzinger; Hien Tran Tinh; Priscila Leite; Yodi Mahendradhata; Ronald Skewes; Ayesha Verrall
Journal:  BMC Public Health       Date:  2013-06-24       Impact factor: 3.295

4.  Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand.

Authors:  Phaisarn Jeefoo; Nitin Kumar Tripathi; Marc Souris
Journal:  Int J Environ Res Public Health       Date:  2010-12-29       Impact factor: 3.390

5.  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

6.  Dengue and dengue hemorrhagic fever, Brazil, 1981-2002.

Authors:  João Bosco Siqueira; Celina Maria Turchi Martelli; Giovanini Evelim Coelho; Ana Cristina da Rocha Simplicio; Douglas L Hatch
Journal:  Emerg Infect Dis       Date:  2005-01       Impact factor: 6.883

7.  Dengue antibody prevalence in German travelers.

Authors:  Ole Wichmann; Annekathrin Lauschke; Christina Frank; Pei-Yun Shu; Matthias Niedrig; Jyh-Hsiung Huang; Klaus Stark; Tomas Jelinek
Journal:  Emerg Infect Dis       Date:  2005-05       Impact factor: 6.883

8.  Analysis of significant factors for dengue fever incidence prediction.

Authors:  Padet Siriyasatien; Atchara Phumee; Phatsavee Ongruk; Katechan Jampachaisri; Kraisak Kesorn
Journal:  BMC Bioinformatics       Date:  2016-04-16       Impact factor: 3.169

9.  Dynamic spatiotemporal trends of dengue transmission in the Asia-Pacific region, 1955-2004.

Authors:  Shahera Banu; Wenbiao Hu; Yuming Guo; Suchithra Naish; Shilu Tong
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

10.  Alarm Variables for Dengue Outbreaks: A Multi-Centre Study in Asia and Latin America.

Authors:  Leigh R Bowman; Gustavo S Tejeda; Giovanini E Coelho; Lokman H Sulaiman; Balvinder S Gill; Philip J McCall; Piero L Olliaro; Silvia R Ranzinger; Luong C Quang; Ronald S Ramm; Axel Kroeger; Max G Petzold
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.