Title |
Serological markers for monitoring historical changes in malaria transmission intensity in a highly endemic region of Western Kenya, 1994–2009
|
---|---|
Published in |
Malaria Journal, November 2014
|
DOI | 10.1186/1475-2875-13-451 |
Pubmed ID | |
Authors |
Jacklyn Wong, Mary J Hamel, Chris J Drakeley, Simon Kariuki, Ya Ping Shi, Altaf A Lal, Bernard L Nahlen, Peter B Bloland, Kim A Lindblade, Vincent Were, Kephas Otieno, Peter Otieno, Chris Odero, Laurence Slutsker, John M Vulule, John E Gimnig |
Abstract |
Monitoring local malaria transmission intensity is essential for planning evidence-based control strategies and evaluating their impact over time. Anti-malarial antibodies provide information on cumulative exposure and have proven useful, in areas where transmission has dropped to low sustained levels, for retrospectively reconstructing the timing and magnitude of transmission reduction. It is unclear whether serological markers are also informative in high transmission settings, where interventions may reduce transmission, but to a level where considerable exposure continues. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Kenya | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 104 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 19% |
Student > Master | 20 | 19% |
Student > Ph. D. Student | 19 | 18% |
Other | 8 | 7% |
Student > Bachelor | 7 | 6% |
Other | 12 | 11% |
Unknown | 21 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 24% |
Agricultural and Biological Sciences | 13 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Immunology and Microbiology | 7 | 6% |
Nursing and Health Professions | 5 | 5% |
Other | 22 | 20% |
Unknown | 28 | 26% |