Background: Epidemic malaria creates serious public health emergencies in Ethiopia. Malaria transmission rates have been linked to temperature and precipitation; factors that will be affected by increasing climate variability. Method: We analyzed climate and malaria data from January 2003-December 2011 in Fogera district of Ethiopia. We compared monthly rainfall and temperature data with the number of confirmed malaria cases. Results: We identified 104,716 confirmed malaria cases, which were treated in the district from 2003-2011 (monthly cases range from 98 – 5038). The annual prevalence rate was 104 per 1000. Annual average rainfall was 1268 mm, and annually there were between four and six months with rainfall that exceeded 80mm. There was a trend associating months with rainfall above 80mm and higher rates of confirmed malaria cases in seven of the nine years of the study period. Average monthly temperatures throughout the nine years period ranged from 180c to 280c. Conclusions: Malaria still constitutes a serious public health problem in Fogera district. Monthly precipitation greater than 80 mm was associated with increased malaria transmission rates in the district, and temperature probably was not a limiting factor. We recommend the development of climate prediction models to help forecast and control malaria outbreaks in the district.
Published in | Science Journal of Public Health (Volume 2, Issue 3) |
DOI | 10.11648/j.sjph.20140203.26 |
Page(s) | 234-237 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Malaria, Climate, Fogera
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APA Style
Addisu Workineh Kassa, Belay Bezabih Beyene. (2014). Climate Variability and Malaria Transmission – Fogera District, Ethiopia, 2003-2011. Science Journal of Public Health, 2(3), 234-237. https://doi.org/10.11648/j.sjph.20140203.26
ACS Style
Addisu Workineh Kassa; Belay Bezabih Beyene. Climate Variability and Malaria Transmission – Fogera District, Ethiopia, 2003-2011. Sci. J. Public Health 2014, 2(3), 234-237. doi: 10.11648/j.sjph.20140203.26
AMA Style
Addisu Workineh Kassa, Belay Bezabih Beyene. Climate Variability and Malaria Transmission – Fogera District, Ethiopia, 2003-2011. Sci J Public Health. 2014;2(3):234-237. doi: 10.11648/j.sjph.20140203.26
@article{10.11648/j.sjph.20140203.26, author = {Addisu Workineh Kassa and Belay Bezabih Beyene}, title = {Climate Variability and Malaria Transmission – Fogera District, Ethiopia, 2003-2011}, journal = {Science Journal of Public Health}, volume = {2}, number = {3}, pages = {234-237}, doi = {10.11648/j.sjph.20140203.26}, url = {https://doi.org/10.11648/j.sjph.20140203.26}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20140203.26}, abstract = {Background: Epidemic malaria creates serious public health emergencies in Ethiopia. Malaria transmission rates have been linked to temperature and precipitation; factors that will be affected by increasing climate variability. Method: We analyzed climate and malaria data from January 2003-December 2011 in Fogera district of Ethiopia. We compared monthly rainfall and temperature data with the number of confirmed malaria cases. Results: We identified 104,716 confirmed malaria cases, which were treated in the district from 2003-2011 (monthly cases range from 98 – 5038). The annual prevalence rate was 104 per 1000. Annual average rainfall was 1268 mm, and annually there were between four and six months with rainfall that exceeded 80mm. There was a trend associating months with rainfall above 80mm and higher rates of confirmed malaria cases in seven of the nine years of the study period. Average monthly temperatures throughout the nine years period ranged from 180c to 280c. Conclusions: Malaria still constitutes a serious public health problem in Fogera district. Monthly precipitation greater than 80 mm was associated with increased malaria transmission rates in the district, and temperature probably was not a limiting factor. We recommend the development of climate prediction models to help forecast and control malaria outbreaks in the district.}, year = {2014} }
TY - JOUR T1 - Climate Variability and Malaria Transmission – Fogera District, Ethiopia, 2003-2011 AU - Addisu Workineh Kassa AU - Belay Bezabih Beyene Y1 - 2014/05/30 PY - 2014 N1 - https://doi.org/10.11648/j.sjph.20140203.26 DO - 10.11648/j.sjph.20140203.26 T2 - Science Journal of Public Health JF - Science Journal of Public Health JO - Science Journal of Public Health SP - 234 EP - 237 PB - Science Publishing Group SN - 2328-7950 UR - https://doi.org/10.11648/j.sjph.20140203.26 AB - Background: Epidemic malaria creates serious public health emergencies in Ethiopia. Malaria transmission rates have been linked to temperature and precipitation; factors that will be affected by increasing climate variability. Method: We analyzed climate and malaria data from January 2003-December 2011 in Fogera district of Ethiopia. We compared monthly rainfall and temperature data with the number of confirmed malaria cases. Results: We identified 104,716 confirmed malaria cases, which were treated in the district from 2003-2011 (monthly cases range from 98 – 5038). The annual prevalence rate was 104 per 1000. Annual average rainfall was 1268 mm, and annually there were between four and six months with rainfall that exceeded 80mm. There was a trend associating months with rainfall above 80mm and higher rates of confirmed malaria cases in seven of the nine years of the study period. Average monthly temperatures throughout the nine years period ranged from 180c to 280c. Conclusions: Malaria still constitutes a serious public health problem in Fogera district. Monthly precipitation greater than 80 mm was associated with increased malaria transmission rates in the district, and temperature probably was not a limiting factor. We recommend the development of climate prediction models to help forecast and control malaria outbreaks in the district. VL - 2 IS - 3 ER -