DocumentCode :
410558
Title :
Malaria environmental risk assessment in Eritrea
Author :
Malone, John B. ; Poggi, Ettore ; Igualada, Francisco-Jose ; Sintasath, David ; Ghebremeskel, Tewolde ; Corbett, John D. ; McCarroll, Jennifer C. ; Chinnici, Phillip ; Shililu, Josephat ; McNally, Kelsey ; Downer, Robert ; Perich, Michael ; Ford, Robert
Author_Institution :
Louisiana State Univ., Baton Rouge, LA, USA
Volume :
2
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
1000
Abstract :
Agroclimactic data and growing degree day-water balance spatial analysis were used to describe potential risk of malaria based on climate suitability for the Plasmodium falciparum-Anopheles arabiensis (Patton) system in Eritrea. A model based on monthly accumulation of the product of two climate gradients, growing degree days (mean temperature-16°C base temperature) and the ratio of monthly rain/potential evapotranspiration (R/PET) was most significantly correlated with infection prevalence data from a 2000-2001 survey of malaria at 173 sites in Eritrea. Results indicate: 1) optimum conditions for malaria transmission occur at sites with moderate temperatures (20-30°C) and 6-11 potential malaria generations per year during months in which soil moisture exceeds a threshold of 20% of holding capacity, 2) additional consideration of a hydrologic gradient (R/PET), with thermal factors, most accurately reflected field malaria risk, 3) there is a need to systematically account for heat stress at high temperatures that result in decreasing suitability for propagation and transmission of malaria, and 4) marked differences in seasonality of transmission pattern found in Eritrea can be predicted, using growing degree day-water balance models. As a regional-scale component of more comprehensive risk assessment methods, the climate-based models developed ay enable future near real-time disease prediction and intervention by health system managers.
Keywords :
climatology; environmental factors; environmental management; health and safety; hydrology; moisture; rain; soil; 16 C; 20 to 30 C; AD 2000 to 2001; Eritrea; Patton system; Plasmodium falciparum-Anopheles arabiensis; agroclimactic data; climate suitability; climate-based models; day-water balance; health system managers; heat stress; hydrologic gradient; malaria propagation; malaria transmission; rain/potential evapotranspiration; real-time disease prediction; risk assessment method; soil moisture; spatial analysis; thermal factors; Diseases; Positron emission tomography; Predictive models; Rain; Risk analysis; Risk management; Soil moisture; Temperature; Thermal factors; Thermal stresses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1293991
Filename :
1293991
Link To Document :
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