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Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting

BACKGROUND: An increase in effective malaria control since 2000 has contributed to a decline in global malaria morbidity and mortality. Knowing when and how existing interventions could be combined to maximise their impact on malaria vectors can provide valuable information for national malaria cont...

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Autores principales: Alegana, Victor A., Kigozi, Simon P., Nankabirwa, Joaniter, Arinaitwe, Emmanuel, Kigozi, Ruth, Mawejje, Henry, Kilama, Maxwell, Ruktanonchai, Nick W., Ruktanonchai, Corrine W., Drakeley, Chris, Lindsay, Steve W., Greenhouse, Bryan, Kamya, Moses R., Smith, David L., Atkinson, Peter M., Dorsey, Grant, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153881/
https://www.ncbi.nlm.nih.gov/pubmed/27955677
http://dx.doi.org/10.1186/s13071-016-1917-3
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author Alegana, Victor A.
Kigozi, Simon P.
Nankabirwa, Joaniter
Arinaitwe, Emmanuel
Kigozi, Ruth
Mawejje, Henry
Kilama, Maxwell
Ruktanonchai, Nick W.
Ruktanonchai, Corrine W.
Drakeley, Chris
Lindsay, Steve W.
Greenhouse, Bryan
Kamya, Moses R.
Smith, David L.
Atkinson, Peter M.
Dorsey, Grant
Tatem, Andrew J.
author_facet Alegana, Victor A.
Kigozi, Simon P.
Nankabirwa, Joaniter
Arinaitwe, Emmanuel
Kigozi, Ruth
Mawejje, Henry
Kilama, Maxwell
Ruktanonchai, Nick W.
Ruktanonchai, Corrine W.
Drakeley, Chris
Lindsay, Steve W.
Greenhouse, Bryan
Kamya, Moses R.
Smith, David L.
Atkinson, Peter M.
Dorsey, Grant
Tatem, Andrew J.
author_sort Alegana, Victor A.
collection PubMed
description BACKGROUND: An increase in effective malaria control since 2000 has contributed to a decline in global malaria morbidity and mortality. Knowing when and how existing interventions could be combined to maximise their impact on malaria vectors can provide valuable information for national malaria control programs in different malaria endemic settings. Here, we assess the effect of indoor residual spraying on malaria vector densities in a high malaria endemic setting in eastern Uganda as part of a cohort study where the use of long-lasting insecticidal nets (LLINs) was high. METHODS: Anopheles mosquitoes were sampled monthly using CDC light traps in 107 households selected randomly. Information on the use of malaria interventions in households was also gathered and recorded via a questionnaire. A Bayesian spatio-temporal model was then used to estimate mosquito densities adjusting for climatic and ecological variables and interventions. RESULTS: Anopheles gambiae (sensu lato) were most abundant (89.1%; n = 119,008) compared to An. funestus (sensu lato) (10.1%, n = 13,529). Modelling results suggest that the addition of indoor residual spraying (bendiocarb) in an area with high coverage of permethrin-impregnated LLINs (99%) was associated with a major decrease in mosquito vector densities. The impact on An. funestus (s.l.) (Rate Ratio 0.1508; 97.5% CI: 0.0144–0.8495) was twice as great as for An. gambiae (s.l.) (RR 0.5941; 97.5% CI: 0.1432–0.8577). CONCLUSIONS: High coverage of active ingredients on walls depressed vector populations in intense malaria transmission settings. Sustained use of combined interventions would have a long-term impact on mosquito densities, limiting infectious biting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-016-1917-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-51538812016-12-20 Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting Alegana, Victor A. Kigozi, Simon P. Nankabirwa, Joaniter Arinaitwe, Emmanuel Kigozi, Ruth Mawejje, Henry Kilama, Maxwell Ruktanonchai, Nick W. Ruktanonchai, Corrine W. Drakeley, Chris Lindsay, Steve W. Greenhouse, Bryan Kamya, Moses R. Smith, David L. Atkinson, Peter M. Dorsey, Grant Tatem, Andrew J. Parasit Vectors Research BACKGROUND: An increase in effective malaria control since 2000 has contributed to a decline in global malaria morbidity and mortality. Knowing when and how existing interventions could be combined to maximise their impact on malaria vectors can provide valuable information for national malaria control programs in different malaria endemic settings. Here, we assess the effect of indoor residual spraying on malaria vector densities in a high malaria endemic setting in eastern Uganda as part of a cohort study where the use of long-lasting insecticidal nets (LLINs) was high. METHODS: Anopheles mosquitoes were sampled monthly using CDC light traps in 107 households selected randomly. Information on the use of malaria interventions in households was also gathered and recorded via a questionnaire. A Bayesian spatio-temporal model was then used to estimate mosquito densities adjusting for climatic and ecological variables and interventions. RESULTS: Anopheles gambiae (sensu lato) were most abundant (89.1%; n = 119,008) compared to An. funestus (sensu lato) (10.1%, n = 13,529). Modelling results suggest that the addition of indoor residual spraying (bendiocarb) in an area with high coverage of permethrin-impregnated LLINs (99%) was associated with a major decrease in mosquito vector densities. The impact on An. funestus (s.l.) (Rate Ratio 0.1508; 97.5% CI: 0.0144–0.8495) was twice as great as for An. gambiae (s.l.) (RR 0.5941; 97.5% CI: 0.1432–0.8577). CONCLUSIONS: High coverage of active ingredients on walls depressed vector populations in intense malaria transmission settings. Sustained use of combined interventions would have a long-term impact on mosquito densities, limiting infectious biting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-016-1917-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-12 /pmc/articles/PMC5153881/ /pubmed/27955677 http://dx.doi.org/10.1186/s13071-016-1917-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Alegana, Victor A.
Kigozi, Simon P.
Nankabirwa, Joaniter
Arinaitwe, Emmanuel
Kigozi, Ruth
Mawejje, Henry
Kilama, Maxwell
Ruktanonchai, Nick W.
Ruktanonchai, Corrine W.
Drakeley, Chris
Lindsay, Steve W.
Greenhouse, Bryan
Kamya, Moses R.
Smith, David L.
Atkinson, Peter M.
Dorsey, Grant
Tatem, Andrew J.
Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title_full Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title_fullStr Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title_full_unstemmed Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title_short Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
title_sort spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153881/
https://www.ncbi.nlm.nih.gov/pubmed/27955677
http://dx.doi.org/10.1186/s13071-016-1917-3
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