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Spatial prediction of Plasmodium falciparum prevalence in Somalia

Abstract:
Background
Maps of malaria distribution are vital for optimal allocation of resources for anti-malarial activities. There is a lack of reliable contemporary malaria maps in endemic countries in sub-Saharan Africa. This problem is particularly acute in low malaria transmission countries such as those located in the horn of Africa.

Methods
Data from a national malaria cluster sample survey in 2005 and routine cluster surveys in 2007 were assembled for Somalia. Rapid diagnostic tests were used to examine the presence of Plasmodium falciparum parasites in finger-prick blood samples obtained from individuals across all age-groups. Bayesian geostatistical models, with environmental and survey covariates, were used to predict continuous maps of malaria prevalence across Somalia and to define the uncertainty associated with the predictions.

Results
For analyses the country was divided into north and south. In the north, the month of survey, distance to water, precipitation and temperature had no significant association with P. falciparum prevalence when spatial correlation was taken into account. In contrast, all the covariates, except distance to water, were significantly associated with parasite prevalence in the south. The inclusion of covariates improved model fit for the south but not for the north. Model precision was highest in the south. The majority of the country had a predicted prevalence of < 5%; areas with ≥ 5% prevalence were predominantly in the south.

Conclusion
The maps showed that malaria transmission in Somalia varied from hypo- to meso-endemic. However, even after including the selected covariates in the model, there still remained a considerable amount of unexplained spatial variation in parasite prevalence, indicating effects of other factors not captured in the study. Nonetheless the maps presented here provide the best contemporary information on malaria prevalence in Somalia.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/1475-2875-7-159

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine - KWTRP (Kenya)
Role:
Author


More from this funder
Funder identifier:
https://ror.org/029chgv08
Funding agency for:
Hay, SI
Grant:
079091
Programme:
Senior Research Fellow
More from this funder
Funder identifier:
https://ror.org/029chgv08
Funding agency for:
Noor, AM
Grant:
081829
Programme:
Research Training Fellow
More from this funder
Funder identifier:
https://ror.org/029chgv08
Funding agency for:
Snow, RW
Grant:
079081
Programme:
Principal Research Fellow
More from this funder
Funder identifier:
https://ror.org/03evrfb35
Funding agency for:
Noor, AM
Grant:
SOM-202-G01-M-00


Publisher:
BioMed Central
Journal:
Malaria Journal More from this journal
Volume:
7
Issue:
1
Article number:
159
Publication date:
2008-08-21
Acceptance date:
2008-08-21
Edition:
Publisher's version
DOI:
ISSN:
1475-2875


Language:
English
Keywords:
Subjects:
UUID:
uuid:e3247aa2-10b1-4c66-a9ef-189afffc96a2
Local pid:
ora:2412
Deposit date:
2008-10-29
ARK identifier:

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