Identification of malaria hot spots for focused intervention in tribal state of India: a GIS based approach.
BACKGROUND
In India, presently malaria shows a declining trend whereas Plasmodium falciparum (Pf) cases show an up trend. In central India, specifically, Madhya Pradesh (M.P.) a forested and tribal area, control of malaria is logistically difficult and outbreaks are frequently recorded, reasons for this being inadequate surveillance, poor reporting, a time lag in reporting to decision makers and a lack of geo referenced information to pin point the trouble spots for a timely preventive action.


RESULTS
An information management system based on Geographic Information System (GIS) using district and block wise malaria data, has been constructed for Madhya Pradesh for quick retrieval of info and dynamic generation of maps to highlight hot spots of malaria for formulating prompt and focused malaria control strategy. Out of total 48 districts consisting of 313 blocks, based on certain criteria GIS identified 58 blocks falling in 25 districts as Hot Spots. Malaria flares up from these pockets whenever favourable conditions for transmission occurs. It was suggested to National Vector Borne Disease Control Programme (NVBDCP) that focused malaria control in these hot pockets may be taken up on priority during the year 2007, it was implemented by State Health Authorities, M.P. under the directive of NVBDCP. Implementation of control measures were evaluated by NVBDCP.


CONCLUSIONS
GIS mapping would make it easy to update information instantly and to identify the trouble spots at the village level within the district which is the lowest unit equipped with computer facilities and the information can reach instantly to state and the policy makers to formulate focused and cost effective malaria control strategy. This is the first time when GIS has been used in national control programme for tribal malaria.
Srivastava
Aruna
A
National Institute of Malaria Research, Vikas Marg, Delhi, India. arunasrivastava1@gmail.com
Nagpal
B N
BN
Joshi
P L
PL
Paliwal
J C
JC
Dash
A P
AP
D000465:Algorithms; D000818:Animals; D040362:Geographic Information Systems; D005843:Geography; D006801:Humans; D007194:India / Q000453:epidemiology; D016778:Malaria, Falciparum / Q000453:epidemiology* / Q000401:mortality / Q000517:prevention & control; D010963:Plasmodium falciparum; D011159:Population Surveillance / Q000379:methods*