Title |
Spatial-explicit modeling of social vulnerability to malaria in East Africa
|
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Published in |
International Journal of Health Geographics, August 2014
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DOI | 10.1186/1476-072x-13-29 |
Pubmed ID | |
Authors |
Stefan Kienberger, Michael Hagenlocher |
Abstract |
Despite efforts in eradication and control, malaria remains a global challenge, particularly affecting vulnerable groups. Despite the recession in malaria cases, previously malaria free areas are increasingly confronted with epidemics as a result of changing environmental and socioeconomic conditions. Next to modeling transmission intensities and probabilities, integrated spatial methods targeting the complex interplay of factors that contribute to social vulnerability are required to effectively reduce malaria burden. We propose an integrative method for mapping relative levels of social vulnerability in a spatially explicit manner to support the identification of intervention measures. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 3 | 1% |
United Kingdom | 2 | <1% |
Malaysia | 1 | <1% |
Austria | 1 | <1% |
Ethiopia | 1 | <1% |
South Africa | 1 | <1% |
Australia | 1 | <1% |
Unknown | 253 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 18% |
Student > Master | 44 | 17% |
Researcher | 42 | 16% |
Student > Bachelor | 16 | 6% |
Student > Doctoral Student | 15 | 6% |
Other | 46 | 17% |
Unknown | 53 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 14% |
Environmental Science | 32 | 12% |
Social Sciences | 24 | 9% |
Nursing and Health Professions | 20 | 8% |
Agricultural and Biological Sciences | 20 | 8% |
Other | 66 | 25% |
Unknown | 65 | 25% |