Examining the determinants of mosquito-avoidance practices in two Kenyan cities
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* Corresponding author: Kate Macintyre kmacint@tulane.edu
Malaria Journal 2002, 1:14 doi:10.1186/1475-2875-1-14
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Fred Matovu, Catherine Goodman, Virginia Wiseman, William Mwengee Malaria Journal 2009, 8:109 (21 May 2009) The paper applies principles of horizontal and vertical equity to the practical issue of bed net ownership and bed net use, with important implications for malaria prevention and control.
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A census-weighted, spatially-stratified household sampling strategy for urban malaria epidemiology Jose G Siri, Kim A Lindblade, Daniel H Rosen, Bernard Onyango, John M Vulule, Laurence Slutsker, Mark L Wilson Malaria Journal 2008, 7:39 (29 February 2008) This paper describes a new approach for developing sampling frames that can be used for urban environments. The model was developed to meet the needs of a KAP survey in Kisumu, Kenya. Enumeration areas were selected combined with population census data.
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Pamela Opiyo, W Richard Mukabana, Ibrahim Kiche, Evan Mathenge, Gerry F Killeen, Ulrike Fillinger Malaria Journal 2007, 6:48 (24 April 2007) Evidence-based education interventions, utilizing participatory tools, need to be applied at grassroots level, to look at traditional beliefs and enable understanding of causal connections between mosquito ecology, parasite transmission and the diagnosis, treatment and prevention of disease
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Thomas P Eisele, Kate Macintyre, Josh Yukich, Tewolde Ghebremeskel Malaria Journal 2006, 5:36 (5 May 2006) The paper addresses important problems relating to the assessment of ITN programmes, particularly potential sources of bias including differences in timing of surveys with respect to the malaria season.
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Thomas P Eisele, Joseph Keating, Chris Swalm, Charles M Mbogo, Andrew K Githeko, James L Regens, John I Githure, Linda Andrews, John C Beier Malaria Journal 2003, 2:44 (10 December 2003) The level of greenness in an area (as measured from satellite data) is to a large extent related to the likelihood of providing mosquito breeding sites. GIS can contribute to our understanding of malaria transmission by improving our understanding of the relationship between humans and their environment. City planners need to be aware that most of the areas occupied by large African cities are better seen as a peri-urban than as a strictly-speaking urban environment, hence more likely to allow malaria transmission, and GIS data can help to identify areas where drainage is a problem.
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