Literature DB >> 15916091

The geographic information system as an epidemiological tool in the surveillance of dengue virus-infected Aedes mosquitos.

Ratana Sithiprasasna1, Somboon Patpoparn, Watcharee Attatippaholkun, Saravudh Suvannadabba, Mayuna Srisuphanunt.   

Abstract

A Geographic Information System (GIS) was used as analysis tool to study the spatial distribution of dengue virus-infected Aedes mosquitos in Thailand. Global Positioning System (GPS) instruments were used to map villages involved in dengue epidemiological studies in Ratchaburi Province, Thailand. Differentially processed GPS data, with a spatial resolution of approximately 1 meter, were incorporated into a GIS for analysis and mapping. Databases associated with a village GIS included village number, Aedes aegypti populations, and test results. Epidemiological surveillance for dengue infection through the detection of the dengue virus type(s) infecting Aedes mosquitos during epidemic periods constitutes a reliable sentinel system for dengue outbreaks. Various techniques were applied including: enzyme linked immunosorbent assay (ELISA), indirect immunofluorescent assay (IFA), and reverse transcriptase-polymerase chain reaction (RT-PCR) assay for the virologic surveillance of the type-specific detection of dengue viruses in artificially infected and in field-caught adult Aedes mosquitos. In laboratory experiments, all assays showed sufficient sensitively to detect one virus infected mosquito and the rapid RT-PCR clearly showed serotype-specificity with very high detection sensitivity. In the field study conducted from April to September 2000, female adult Aedes mosquitos were collected from selected dengue-sensitive areas in Chom Bung district, Ratchaburi Province and assayed by ELISA, IFA and RT-PCR with 18.3% (44/240), 28.98% (20/69) and 15% (3/20) positive for dengue virus, respectively. Geographic distribution of the virus-infected Aedes mosquitos and household locations were demonstrated by the GPS and the GIS. The development of disease mapping data coupled with RT-PCR laboratory-based surveillance of dengue virus infection can successfully serve as epidemiologic tools in an early warning system for dengue hemorrhagic fever (DHF) epidemics.

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Year:  2004        PMID: 15916091

Source DB:  PubMed          Journal:  Southeast Asian J Trop Med Public Health        ISSN: 0125-1562            Impact factor:   0.267


  8 in total

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Authors:  Séverine Matheus; Jean-Loup Chappert; Sylvie Cassadou; Franck Berger; Bhetty Labeau; Laetitia Bremand; Alain Winicki; Patricia Huc-Anais; Philippe Quenel; Philippe Dussart
Journal:  Am J Trop Med Hyg       Date:  2012-01       Impact factor: 2.345

2.  Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments.

Authors:  Saul Lozano-Fuentes; Darwin Elizondo-Quiroga; Jose Arturo Farfan-Ale; Maria Alba Loroño-Pino; Julian Garcia-Rejon; Salvador Gomez-Carro; Victor Lira-Zumbardo; Rosario Najera-Vazquez; Ildefonso Fernandez-Salas; Joaquin Calderon-Martinez; Marco Dominguez-Galera; Pedro Mis-Avila; Natashia Morris; Michael Coleman; Chester G Moore; Barry J Beaty; Lars Eisen
Journal:  Bull World Health Organ       Date:  2008-09       Impact factor: 9.408

3.  Mosquito infestation and dengue virus infection in Aedes aegypti females in schools in Merida, Mexico.

Authors:  Julián E García-Rejón; María Alba Loroño-Pino; José Arturo Farfán-Ale; Luis F Flores-Flores; Mildred P López-Uribe; Maria Del Rosario Najera-Vazquez; Guadalupe Nuñez-Ayala; Barry J Beaty; Lars Eisen
Journal:  Am J Trop Med Hyg       Date:  2011-03       Impact factor: 2.345

Review 4.  Will integrated surveillance systems for vectors and vector-borne diseases be the future of controlling vector-borne diseases? A practical example from China.

Authors:  Y Wu; F Ling; J Hou; S Guo; J Wang; Z Gong
Journal:  Epidemiol Infect       Date:  2016-02-22       Impact factor: 4.434

5.  Nation-wide, web-based, geographic information system for the integrated surveillance and control of dengue fever in Mexico.

Authors:  Juan Eugenio Hernández-Ávila; Mario-Henry Rodríguez; René Santos-Luna; Veronica Sánchez-Castañeda; Susana Román-Pérez; Víctor Hugo Ríos-Salgado; Jesús Alberto Salas-Sarmiento
Journal:  PLoS One       Date:  2013-08-06       Impact factor: 3.240

6.  Evaluation of the performance of a dengue outbreak detection tool for China.

Authors:  Honglong Zhang; Zhongjie Li; Shengjie Lai; Archie C A Clements; Liping Wang; Wenwu Yin; Hang Zhou; Hongjie Yu; Wenbiao Hu; Weizhong Yang
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

7.  Spatiotemporal Assessment of COVID-19 Spread over Oman Using GIS Techniques.

Authors:  Khalifa M Al-Kindi; Amira Alkharusi; Duhai Alshukaili; Noura Al Nasiri; Talal Al-Awadhi; Yassine Charabi; Ahmed M El Kenawy
Journal:  Earth Syst Environ       Date:  2020-12-08

8.  Dengue virus in humans and mosquitoes and their molecular characteristics in northeastern Thailand 2016-2018.

Authors:  Patcharaporn Nonyong; Tipaya Ekalaksananan; Supranee Phanthanawiboon; Sirinart Aromseree; Juthamas Phadungsombat; Emi E Nakayama; Tatsuo Shioda; Vorthon Sawaswong; Sunchai Payungporn; Kesorn Thaewnongiew; Hans J Overgaard; Michael J Bangs; Neal Alexander; Chamsai Pientong
Journal:  PLoS One       Date:  2021-09-14       Impact factor: 3.240

  8 in total

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