Title |
From intervention to impact: modelling the potential mortality impact achievable by different long-lasting, insecticide-treated net delivery strategies
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Published in |
Malaria Journal, September 2012
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DOI | 10.1186/1475-2875-11-327 |
Pubmed ID | |
Authors |
Lucy C Okell, Lucy Smith Paintain, Jayne Webster, Kara Hanson, Jo Lines |
Abstract |
The current target of universal access to long-lasting, insecticide-treated nets (LLIN) is 80% coverage to reduce malaria deaths by 75% by 2015. So far, campaigns have been the main channel for large-scale delivery of LLINs, however the World Health Organization has recommended that equal priority should be given to delivery via routine antenatal care (ANC) and immunization systems (EPI) to target pregnant women and children from birth. These various channels of LLIN delivery are targeted to children of different ages. Since risk of mortality varies with child age and LLIN effectiveness declines with net age, it was hypothesized that the age at which a child receives a new LLIN, and therefore the delivery channel, is important in optimizing the health impact of a net. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Kenya | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
United States | 1 | <1% |
Unknown | 108 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 30% |
Researcher | 21 | 18% |
Student > Ph. D. Student | 18 | 16% |
Student > Bachelor | 7 | 6% |
Lecturer | 6 | 5% |
Other | 18 | 16% |
Unknown | 10 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 32% |
Social Sciences | 15 | 13% |
Agricultural and Biological Sciences | 12 | 11% |
Nursing and Health Professions | 9 | 8% |
Economics, Econometrics and Finance | 5 | 4% |
Other | 21 | 18% |
Unknown | 16 | 14% |