Application of Advanced Very High Resolution Radiometer (AVHRR)-based Vegetation Health Indices for Estimation of Malaria Cases

Abstract

Satellite data may be used to map climatic conditions conducive to malaria outbreaks, assisting in the targeting of public health interventions to mitigate the worldwide increase in incidence of the mosquito-transmitted disease. This work analyzes correlation between malaria cases and vegetation health (VH) indices derived from satellite remote sensing for each week over a period of 14 years for Bandarban, Bangladesh. Correlation analysis showed that years with a high summer temperature condition index (TCI) tended to be those with high malaria incidence. Principal components regression was performed on patterns of weekly TCI during each of the two annual malaria seasons to construct a model as a function of the TCI. These models reduced the malaria estimation error variance by 57% if first-peak (June–July) TCI was used as the estimator and 74% if second-peak (August–September) was used, compared with an estimation of average number of malaria cases for each year.

Environment Changes, Aflatoxins, and Health Issues, a Review

“…Remote sensing (data collection at distance, usually from a satellite or an aircraft as opposed to on-site sensing), global navigation satellite systems (satellite ensembles that allow any user on or near the Earth to determine their position with a precision from some meters to some centimeters, e.g., GPS), and others were recognized as valuable benefits to global health and their applications were recently reviewed [ 75 ]. Such technologies were used in direct monitoring of certain microorganisms as well as identifying associations between diseases and/or disease vectors and remotely sensed parameters, e.g., malaria or tick-borne diseases and rainfall, vegetation indices, and temperature [ 76 , 77 ]. Those associations enabled forecasting of the spatiotemporal evolution of diseases and preparation of rational public health strategies.…”

Geospatial Technology: A Tool to Aid in the Elimination of Malaria in Bangladesh

“…Through June 2014, there were 17 published studies that have used geospatial technologies (GIS, GPS and/or RS) to understand and predict malaria risks [1,2,8,[13][14][15][16][17][18][19][20][21], develop malaria risk maps, [21,22] and provide findings for targeted interventions strategies in Bangladesh. To supply feedback to the NMCP, national malaria risk maps were produced [2,23].…”

Natural Basis for the Proliferation of Malaria Vectors in Northern Benin (West Africa)

“…Through June 2014, there were 17 published studies that have used geospatial technologies (GIS, GPS and/or RS) to understand and predict malaria risks [21][22][23][24][25][26][27][28][29][30][31][32], develop malaria risk maps, [32,33] and provide findings for targeted interventions strategies in Bangladesh. To supply feedback to the National Malaria Control Program (NMCP), national malaria risk maps were produced [13,34].…”