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Climate 2016, 4(2), 23; doi:10.3390/cli4020023

Spatio-Temporal Extension and Spatial Analyses of Dengue from Rawalpindi, Islamabad and Swat during 2010–2014

1
Department of Meteorology, COMSATS Institute of Information Technology, Park Road Chak Shahzad, Islamabad 44000, Pakistan
2
Department of Earth Sciences, Quaid-e-Azam University, Islamabad 44000, Pakistan
3
Department of Meteorology, COMSATS Institute of Information Technology, Park Road Chak Shahzad, Islamabad 44000, Pakistan
4
Dengue Ward, Holy Family Hospital, Rawalpindi 46000, Pakistan
*
Author to whom correspondence should be addressed.
Academic Editor: Maoyi Huang
Received: 16 September 2015 / Revised: 21 March 2016 / Accepted: 30 March 2016 / Published: 18 April 2016
(This article belongs to the Special Issue Dynamics of Land-Use/Cover Change under a Changing Climate)
View Full-Text   |   Download PDF [3915 KB, uploaded 18 April 2016]   |  

Abstract

Climate change and Land-Use Land-Cover change (LULC) has significantly displaced the local rainfall patterns and weather conditions in Pakistan. This has resulted in a different climate-related problem, particularly vector borne diseases. Dengue transmission has emerged as one of the most devastating and life threatening disease in Pakistan, causing hundreds of deaths since its first outbreak. This study is designed to understand and analyze the disease patterns across two distinct study regions, using Geographic Information System (GIS), Satellite Remote Sensing (RS) along with climate and socio-economic and demographics datasets. The datasets have been analyzed by using GIS statistical analysis techniques. As a result, maps, tables and graphs have been plotted to estimate the most significant parameters. These parameters have been assigned a contribution weight value to prepare a model and Threat Index Map (TIM) for the study areas. Finally, the model has been tested and verified against existing datasets for both study areas. This model can be used as a disease Early Warning System (EWS). View Full-Text
Keywords: climate change; dengue; spatial analyses; spatial epidemiology; statistical analyses; EWS; GIS; RS; tropical diseases climate change; dengue; spatial analyses; spatial epidemiology; statistical analyses; EWS; GIS; RS; tropical diseases
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Fareed, N.; Ghaffar, A.; Malik, T.S. Spatio-Temporal Extension and Spatial Analyses of Dengue from Rawalpindi, Islamabad and Swat during 2010–2014. Climate 2016, 4, 23.

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