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Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly Oct 2016

Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly

Geoffrey Henebry

Background

Malaria is one of the leading public health problems in most of sub-Saharan Africa, particularly in Ethiopia. Almost all demographic groups are at risk of malaria because of seasonal and unstable transmission of the disease. Therefore, there is a need to develop malaria early-warning systems to enhance public health decision making for control and prevention of malaria epidemics. Data from orbiting earth-observing sensors can monitor environmental risk factors that trigger malaria epidemics. Remotely sensed environmental indicators were used to examine the influences of climatic and environmental variability on temporal patterns of malaria cases in the Amhara region of Ethiopia ...


Perception Of Disease Risk And Vulnerability As A Function Of Proximity To National Park Boundaries In East Africa, Irene Bridget Feretti Apr 2013

Perception Of Disease Risk And Vulnerability As A Function Of Proximity To National Park Boundaries In East Africa, Irene Bridget Feretti

Honors Theses and Capstones

Studies suggest households closest to parks and protected areas (PAs) are more likely to sustain park-related losses, but the relationship between human sickness and PAs has not been fully explored. Existing literature primarily focuses on human-wildlife conflicts (i.e. crop raiding) and the potential for zoonotic disease spillover and emergence at the human-livestock-wildlife interface at PA boundaries. Understanding local perceptions of disease risk and vulnerability is essential for assessing human health relative to conservation areas. This understanding will promote better-informed consideration of human health impacts in decision making for conservation. Data from surveys taken at 301 households around Kibale National ...


Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly May 2012

Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly

Natural Resource Management Faculty Publications

Background

Malaria is one of the leading public health problems in most of sub-Saharan Africa, particularly in Ethiopia. Almost all demographic groups are at risk of malaria because of seasonal and unstable transmission of the disease. Therefore, there is a need to develop malaria early-warning systems to enhance public health decision making for control and prevention of malaria epidemics. Data from orbiting earth-observing sensors can monitor environmental risk factors that trigger malaria epidemics. Remotely sensed environmental indicators were used to examine the influences of climatic and environmental variability on temporal patterns of malaria cases in the Amhara region of Ethiopia ...