01890nas a2200157   4500000000100000008004100001260005800042100001200100700001300112245015400125856009000279300000900369490000600378520133400384022001401718       2020                            d  bSocietatea de Geografie din Romania - Filiala Prahova1 aKarim R1 aIslam SS00aA Geo-Statistical Analysis for Prediction Modeling of Filariasis (Elephantiasis) Transmission Risk in Bangladesh Using Geographic Information Systems  uhttps://cejgsd.org/CEJGSD_2020-02/02/article/01/CEJGSD_2020-02_02_article_01_5-14.pdf  a5-140 v23 aVarious socio-economic and environmental factors play a vital role in the transmission of
many infectious diseases of which some are among the most important cause of mortality and morbidity
in the developing countries. Filariasis is the disease of the poor people and has been neglected for more
than 50 years in Bangladesh and it is endemic in 23 out of 64 districts of Bangladesh so far. The affected
people are generally the poorest and most vulnerable segment of the country. This research article has
been made to analyze the prediction of filariasis disease. It discusses how GIS technology can be utilized
as an array of several databases and as an effective tool for integrating different sectoral and information
of various significant decision-making processes. It utilizes the kriging and cokriging methods of ArcGIS
Geostatistical Analyst to predict filariasis occurrences using various socio-economic and environmental
parameters and comparing the predicted models for Bangladesh’s northern region which is highly
filariasis prone. The resultant prediction model indicates that the probability of filariasis is higher in
upazilas neighboring another upazila with high occurrences. The result also shows that the disease
incidences decreases with increasing distance from the disease affected regions.   a2668-4322