Literature DB >> 12725965

GIS based malaria information management system for urban malaria scheme in India.

Aruna Srivastava1, B N Nagpal, Rekha Saxena, Alex Eapen, K John Ravindran, S K Subbarao, C Rajamanikam, M Palanisamy, N L Kalra, N C Appavoo.   

Abstract

A GIS based information management system has been developed to help Urban Malaria Control in India. The basic objective is to develop a model to assist planning and implementation of a suitable control measure. The system can help in: (i) identifying high receptive areas in time and space domain; (ii) identifying risk factors for high receptivity; (iii) monitoring and evaluating control measures. To demonstrate this system, information on 33 parameters and malaria cases has been attached to a digitised map of Dindigul, an urban town in Tamil Nadu. Functionalities of the system and its utility are described in this paper. A GIS based information management system ensures that if a localised spurt of the disease occurs, it can be associated rapidly with a likely cause, a specific vector, and a probable human source, so that appropriate preventive action can be taken to arrest any rising trend.

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Year:  2003        PMID: 12725965     DOI: 10.1016/s0169-2607(02)00056-1

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  7 in total

1.  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

2.  Temporal changes in land cover types and the incidence of malaria in Mangalore, India.

Authors:  Venkata Raghava Mohan; Elena N Naumova
Journal:  Int J Biomed Res       Date:  2014

3.  Uncertainty in mapping malaria epidemiology: implications for control.

Authors:  David Sullivan
Journal:  Epidemiol Rev       Date:  2010-06-25       Impact factor: 6.222

4.  Surveillance considerations for malaria elimination.

Authors:  Victoria C Barclay; Rachel A Smith; Jill L Findeis
Journal:  Malar J       Date:  2012-08-31       Impact factor: 2.979

5.  Open-Source web-based Geographical Information System for health exposure assessment.

Authors:  Barry Evans; Clive E Sabel
Journal:  Int J Health Geogr       Date:  2012-01-10       Impact factor: 3.918

Review 6.  Receptivity to malaria: meaning and measurement.

Authors:  Joshua O Yukich; Kim Lindblade; Jan Kolaczinski
Journal:  Malar J       Date:  2022-05-08       Impact factor: 3.469

7.  Development and management of a geographic information system for health research in a developing-country setting: a case study from Bangladesh.

Authors:  Jonathan D Sugimoto; Alain B Labrique; Salahuddin Ahmad; Mahbubur Rashid; Rolf D W Klemm; Parul Christian; Keith P West
Journal:  J Health Popul Nutr       Date:  2007-12       Impact factor: 2.000

  7 in total

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