Title |
Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity
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Published in |
Malaria Journal, October 2011
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DOI | 10.1186/1475-2875-10-298 |
Pubmed ID | |
Authors |
Anna-Sofie Stensgaard, Penelope Vounatsou, Ambrose W Onapa, Paul E Simonsen, Erling M Pedersen, Carsten Rahbek, Thomas K Kristensen |
Abstract |
In Uganda, malaria and lymphatic filariasis (causative agent Wuchereria bancrofti) are transmitted by the same vector species of Anopheles mosquitoes, and thus are likely to share common environmental risk factors and overlap in geographical space. In a comprehensive nationwide survey in 2000-2003 the geographical distribution of W. bancrofti was assessed by screening school-aged children for circulating filarial antigens (CFA). Concurrently, blood smears were examined for malaria parasites. In this study, the resultant malariological data are analysed for the first time and the CFA data re-analysed in order to identify risk factors, produce age-stratified prevalence maps for each infection, and to define the geographical patterns of Plasmodium sp. and W. bancrofti co-endemicity. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 4% |
United States | 2 | 1% |
Kenya | 1 | <1% |
Portugal | 1 | <1% |
Brazil | 1 | <1% |
Pakistan | 1 | <1% |
Unknown | 139 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 20% |
Researcher | 24 | 16% |
Student > Master | 20 | 13% |
Student > Bachelor | 14 | 9% |
Student > Doctoral Student | 11 | 7% |
Other | 28 | 19% |
Unknown | 24 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 21% |
Agricultural and Biological Sciences | 29 | 19% |
Social Sciences | 10 | 7% |
Environmental Science | 8 | 5% |
Computer Science | 7 | 5% |
Other | 33 | 22% |
Unknown | 33 | 22% |