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A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania

The optimization of malaria control strategies is complicated by constraints posed by local health systems, infrastructure, limited resources, and the complex interactions between infection, disease, and treatment. The purpose of this paper is to describe the protocol of a randomized factorial study...

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Autores principales: Kramer, Randall A., Mboera, Leonard E. G., Senkoro, Kesheni, Lesser, Adriane, Shayo, Elizabeth H., Paul, Christopher J., Miranda, Marie Lynn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053883/
https://www.ncbi.nlm.nih.gov/pubmed/24840349
http://dx.doi.org/10.3390/ijerph110505317
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author Kramer, Randall A.
Mboera, Leonard E. G.
Senkoro, Kesheni
Lesser, Adriane
Shayo, Elizabeth H.
Paul, Christopher J.
Miranda, Marie Lynn
author_facet Kramer, Randall A.
Mboera, Leonard E. G.
Senkoro, Kesheni
Lesser, Adriane
Shayo, Elizabeth H.
Paul, Christopher J.
Miranda, Marie Lynn
author_sort Kramer, Randall A.
collection PubMed
description The optimization of malaria control strategies is complicated by constraints posed by local health systems, infrastructure, limited resources, and the complex interactions between infection, disease, and treatment. The purpose of this paper is to describe the protocol of a randomized factorial study designed to address this research gap. This project will evaluate two malaria control interventions in Mvomero District, Tanzania: (1) a disease management strategy involving early detection and treatment by community health workers using rapid diagnostic technology; and (2) vector control through community-supported larviciding. Six study villages were assigned to each of four groups (control, early detection and treatment, larviciding, and early detection and treatment plus larviciding). The primary endpoint of interest was change in malaria infection prevalence across the intervention groups measured during annual longitudinal cross-sectional surveys. Recurring entomological surveying, household surveying, and focus group discussions will provide additional valuable insights. At baseline, 962 households across all 24 villages participated in a household survey; 2,884 members from 720 of these households participated in subsequent malariometric surveying. The study design will allow us to estimate the effect sizes of different intervention mixtures. Careful documentation of our study protocol may also serve other researchers designing field-based intervention trials.
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spelling pubmed-40538832014-06-12 A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania Kramer, Randall A. Mboera, Leonard E. G. Senkoro, Kesheni Lesser, Adriane Shayo, Elizabeth H. Paul, Christopher J. Miranda, Marie Lynn Int J Environ Res Public Health Article The optimization of malaria control strategies is complicated by constraints posed by local health systems, infrastructure, limited resources, and the complex interactions between infection, disease, and treatment. The purpose of this paper is to describe the protocol of a randomized factorial study designed to address this research gap. This project will evaluate two malaria control interventions in Mvomero District, Tanzania: (1) a disease management strategy involving early detection and treatment by community health workers using rapid diagnostic technology; and (2) vector control through community-supported larviciding. Six study villages were assigned to each of four groups (control, early detection and treatment, larviciding, and early detection and treatment plus larviciding). The primary endpoint of interest was change in malaria infection prevalence across the intervention groups measured during annual longitudinal cross-sectional surveys. Recurring entomological surveying, household surveying, and focus group discussions will provide additional valuable insights. At baseline, 962 households across all 24 villages participated in a household survey; 2,884 members from 720 of these households participated in subsequent malariometric surveying. The study design will allow us to estimate the effect sizes of different intervention mixtures. Careful documentation of our study protocol may also serve other researchers designing field-based intervention trials. MDPI 2014-05-16 2014-05 /pmc/articles/PMC4053883/ /pubmed/24840349 http://dx.doi.org/10.3390/ijerph110505317 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Kramer, Randall A.
Mboera, Leonard E. G.
Senkoro, Kesheni
Lesser, Adriane
Shayo, Elizabeth H.
Paul, Christopher J.
Miranda, Marie Lynn
A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title_full A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title_fullStr A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title_full_unstemmed A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title_short A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania
title_sort randomized longitudinal factorial design to assess malaria vector control and disease management interventions in rural tanzania
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053883/
https://www.ncbi.nlm.nih.gov/pubmed/24840349
http://dx.doi.org/10.3390/ijerph110505317
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