Abstract
Malaria is one of the most killer diseases in our planet earth. It is the primary cause of patient talks, admissions and demise every year in Ethiopia. It is important to reduce the transmission and effects of the problem identifying and mapping the malaria risk area using geospatial technologies. The general objective of the study is to analyze and map malaria prone areas using geospatial tools in Amibara and Gewanie Woredas of Afar Region. The specific objectives are to identify parameters that contribute to malaria hazard in the study area and to classify and map areas at risk of malaria. To achieve the stated objectives, the researchers employed spatial modeling technique particularly Weighted Overlay Analysis (WOA). Climatic data, topographical data and infrastructural data are the major data of the study. These data were processed and analyzed by ArcGIS, Erdas imagine, Idrisi, 3DEM terrain visualization and global mapper software. The result showed that the area is suitable moderately and marginally for malaria. From the total area of the study, 35 and 65% were moderately and marginally suitable for the occurrence of malaria respectively. Therefore, as malaria is one of the killer diseases the concerned bodies should use the technologies to prevent and control the transmission of malaria in the study area and there should be health package to prevent the diseases. Key words: Malaria mapping, geospatial tools.
Highlights
Background and justification of the studyMalaria is one vector borne diseases that affect huge number of people in the world
The public showed signs of malaria from one to two weeks later being chomped by an infected mosquito In Ethiopia, it remains the main public health problems; every year it is the foremost origin of outpatient discussions, charges and death
Geospatial data were used for identification, association, characterization, and final malaria risk map production for the study area
Summary
Background and justification of the studyMalaria is one vector borne diseases that affect huge number of people in the world. Malaria is the 5th leading source of passing from infectious diseases in low-income countries and a worldwide community health. According to many researchers including FMOH (2013a) report, the broadcast patterns and strength vary significantly due to the large multiplicity in altitude, rainfall, and population movement within the areas below 2,000 m. Those areas are home to nearly 68% (52 million) of the country’s population and conceal almost 75% of the landmass. In 2015, malaria was still the first leading cause of health problem accounting for 48% of outpatient consultation, 20% admissions and 24.9% inpatient deaths. The disease causes debilitating damage to work force, reduction of income as well as school absenteeism for both the sick and family members who serve as care takers (FMOH, 2013b)
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