Application of advanced very high resolution radiometer (AVHRR)-based vegetation health indices for estimation of malaria cases.
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.
Rahman
Atiqur
A
National Oceanic and Atmospheric Administration Cooperative Remote Sensing Science and Technology (NOAA-CREST), The City College of New York, NY, USA. fmatiq@gmail.com
Krakauer
Nir
N
Roytman
Leonid
L
Goldberg
Mitch
M
Kogan
Felix
F
D000818:Animals; D000852:Anopheles; D001459:Bangladesh / Q000453:epidemiology; D017753:Ecosystem; D006801:Humans; D008288:Malaria / Q000453:epidemiology* / Q000635:transmission; D008954:Models, Biological; D010944:Plants; D015203:Reproducibility of Results; D012307:Risk Factors; D018531:Spacecraft; D014197:Trees