Proceedings of 1st Ghana Field Epidemiology and Laboratory Training Programme Scientific conference (Accra, 2017)

Oral presentation

Geospatial variation of confirmed malaria incidence and related environmental characteristics in sub-districts of Upper East Region

Cite this: Pan African Medical Journal - Conference Proceedings. Oct 2017; 3(3): 82. doi:10.11604/pamj.cp.2017.3.82.235

Submitted: 10 Oct 17   Accepted: 10 Oct 17   Published: 27 Oct 17

Key words: Malaria, spatial analysis, spatial clustering

© Ernest Akyereko et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Available online at: http://www.proceedings.panafrican-med-journal.com/conferences/2017/3/82/abstract

Corresponding author: Ernest Akyereko, Ghana Field Epidemiology and Laboratory Training Programme, Accra, Ghana (eakyerekoh@yahoo.com)

This abstract is published as part of the proceedings of 1st Ghana Field Epidemiology and Laboratory Training Programme Scientific conference (GHANA, )

Geospatial variation of confirmed malaria incidence and related environmental characteristics in sub-districts of Upper East Region

Ernest Akyereko1,&, Donne Ameme1, Patrick Lamptey2, Edwin Andrew Afari1, Kofi Mensah Nyarko3, Ernest Kenu1

 

1Ghana Field Epidemiology and Laboratory Training Programme, Accra, Ghana, 2Ghana Health Service, Ghana, 3Namibia FELTP, Namibia

 

 

&Corresponding author
Ernest Akyereko, Ghana Field Epidemiology and Laboratory Training Programme, Accra, Ghana

 

 

Abstract

Introduction: malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female anopheles mosquitoes. The disease is endemic in African countries such as Ghana, and children bears the highest consequence. Even though malaria believe to have associated with environmental conditions and for that matter the risk of malaria incidence may not be the same across a geographic location. Past studies in Upper East region of Ghana on malaria did not show the relationship between spatial cluster of malaria and its related factors itís related. Spatial analysis of patterns of these cases could lead to a deeper understanding of the underlying causes and potential prediction of high risk areas. We mapped and generated high risk areas of Malaria in sub-districts of Upper East region of Ghana.

 

Methods: the study was a retrospective cross-sectional study in which spatial tools in Quantum Geographic Information System (QGIS) and Geoda was used to perform risk mapping using 5-year secondary data on malaria incidence in the sub-districts of Upper East region from January 1, 2012 to December 31, 2016, as well its relationship with rainfall, temperature (maximum and minimum), humidity and sunshine hours.

 

Results: a total of 2464943 cases (both suspected and confirm) were reported within the 5-year period with 71.12% laboratory confirmation. Prevalence of malaria varies from district to district. There was statistically significant evidence of spatial clustering into high and low rate clusters. The study found 25 clusters (p = 0.024) and 61 not significant clusters of meningitis with 4 High-high risk areas.

 

Conclusion: the results indicated that temperature, humidity and rainfall varies comparing areas of high risk and low risk. These findings show that public health resource allocations should focus on the areas with the highest malaria risk in Upper East region.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1st Ghana Field Epidemiology and Laboratory Training Programme Scientific conference (Accra)

Country: GHANA

Dates: 18 Sep 17 - 21 Sep 17

Venue: Swiss Spirit and Suites Alisa Hotels

Organizers: Ghana Field Epidemiology and Laboratory Training Programme

Secretariat: gfeltp@gmail.com

Contact person: Dr. Ernest Kenu (ernest_kenu@yahoo.com)