Literature DB >> 11378138

Vector-borne parasitic diseases: new trends in data collection and risk assessment.

N R Bergquist1.   

Abstract

Climates and topography effectively restrict vector-borne infections to certain geographical areas, a clear illustration of how strongly the spatial distributions of these diseases rely on environmental factors. This is hardly a new revelation, but just a few years back, without the support of computer-assisted collection and handling of data, we were far less able to grasp the full picture. Fortunately climate data collection by Remote Sensing (RS) by earth-observing satellites, a technology particularly well suited to pinpointing constraining endemic factors, has not only become affordable but also reached a high degree of sophistication. Meanwhile, geographical information systems (GIS) and global positioning systems (GPS) permit spatial information of great accuracy as well as digitalization of collected data on the spot enabling visualization of the data in relation to physical maps and facilitating comparisons of the results of longitudinal investigations. Adoption of these technologies at the national level promotes intersectoral collaboration and promises improved planning and management in the control of endemic diseases. Applications in areas such as malaria, onchocerciasis, lymphatic filariasis, trypanosomiasis and schistosomiasis are briefly reviewed. Reports in the fields of the former two diseases dominate the literature, while information is lagging with regard to the others. The need for a broadening of the GIS approach is emphasized with the aim of rejuvenating the dynamic aspect of epidemiological studies.

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Year:  2001        PMID: 11378138     DOI: 10.1016/s0001-706x(01)00099-7

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  12 in total

1.  Mapping of mosquito breeding sites in malaria endemic areas in Pos Lenjang, Kuala Lipis, Pahang, Malaysia.

Authors:  Rohani Ahmad; Wan N W M Ali; Zurainee M Nor; Zamree Ismail; Azahari A Hadi; Mohd N Ibrahim; Lee H Lim
Journal:  Malar J       Date:  2011-12-13       Impact factor: 2.979

2.  The Atlas of human African trypanosomiasis: a contribution to global mapping of neglected tropical diseases.

Authors:  Pere P Simarro; Giuliano Cecchi; Massimo Paone; José R Franco; Abdoulaye Diarra; José A Ruiz; Eric M Fèvre; Fabrice Courtin; Raffaele C Mattioli; Jean G Jannin
Journal:  Int J Health Geogr       Date:  2010-11-01       Impact factor: 3.918

3.  Lymphatic filariasis transmission risk map of India, based on a geo-environmental risk model.

Authors:  Shanmugavelu Sabesan; Konuganti Hari Kishan Raju; Swaminathan Subramanian; Pradeep Kumar Srivastava; Purushothaman Jambulingam
Journal:  Vector Borne Zoonotic Dis       Date:  2013-06-29       Impact factor: 2.133

4.  Urban structure and dengue fever in Puntarenas, Costa Rica.

Authors:  Adriana Troyo; Douglas O Fuller; Olger Calderón-Arguedas; Mayra E Solano; John C Beier
Journal:  Singap J Trop Geogr       Date:  2009-07-01

5.  Delimitation of lymphatic filariasis transmission risk areas: a geo-environmental approach.

Authors:  Shanmugavelu Sabesan; Hari Kishan K Raju; AdiNarayanan Srividya; Pradeep Kumar Das
Journal:  Filaria J       Date:  2006-11-09

6.  Modeling the risk of transmission of schistosomiasis in Akure North Local Government Area of Ondo State, Nigeria using satellite derived environmental data.

Authors:  Oluwaremilekun G Ajakaye; Oluwatola I Adedeji; Paul O Ajayi
Journal:  PLoS Negl Trop Dis       Date:  2017-07-12

7.  Risk mapping of Anopheles gambiae s.l. densities using remotely-sensed environmental and meteorological data in an urban area: Dakar, Senegal.

Authors:  Vanessa Machault; Cécile Vignolles; Frédéric Pagès; Libasse Gadiaga; Yves M Tourre; Abdoulaye Gaye; Cheikh Sokhna; Jean-François Trape; Jean-Pierre Lacaux; Christophe Rogier
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

8.  Spatial correlations of mapped malaria rates with environmental factors in Belize, Central America.

Authors:  Shilpa Hakre; Penny Masuoka; Errol Vanzie; Donald R Roberts
Journal:  Int J Health Geogr       Date:  2004-03-22       Impact factor: 3.918

9.  Challenges in using geographic information systems (GIS) to understand and control malaria in Indonesia.

Authors:  Neil G Sipe; Pat Dale
Journal:  Malar J       Date:  2003-11-04       Impact factor: 2.979

10.  Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.

Authors:  Uwem F Ekpo; Chiedu F Mafiana; Clement O Adeofun; Adewale Rt Solarin; Adewumi B Idowu
Journal:  BMC Infect Dis       Date:  2008-05-31       Impact factor: 3.090

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