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

doi:10.3390/ijerph110505317

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Correction published on 25 August 2014, see Int. J. Environ. Res. Public Health 2014, 11(9), 8622-8623.

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

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Duke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC 27710, USA

Nicholas School of the Environment, Duke University, 9 Circuit Drive, Durham, NC 27708, USA

National Institute for Medical Research, 2448 Barack Obama Drive, P.O. Box 9653, Dar es Salaam, United Republic of Tanzania

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School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA

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Departments of Pediatrics and Obstetrics & Gynecology, School of Medicine, University of Michigan, Ann Arbor, MI 48109, USA

Author to whom correspondence should be addressed.

Int. J. Environ. Res. Public Health 2014, 11(5), 5317-5332; https://doi.org/10.3390/ijerph110505317

Received: 14 March 2014 / Revised: 9 May 2014 / Accepted: 9 May 2014 / Published: 16 May 2014

(This article belongs to the Special Issue Epidemiology, Prevention and Control of Malaria)

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Abstract

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. View Full-Text

Keywords: malaria; disease management; vector control; larviciding; factorial design; implementation science; community health delivery experiments; Tanzania

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Kramer, R.A.; Mboera, L.E.G.; Senkoro, K.; Lesser, A.; Shayo, E.H.; Paul, C.J.; Miranda, M.L. A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania. Int. J. Environ. Res. Public Health 2014, 11, 5317-5332. https://doi.org/10.3390/ijerph110505317

AMA Style

Kramer RA, Mboera LEG, Senkoro K, Lesser A, Shayo EH, Paul CJ, Miranda ML. A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania. International Journal of Environmental Research and Public Health. 2014; 11(5):5317-5332. https://doi.org/10.3390/ijerph110505317

Chicago/Turabian Style

Kramer, Randall A., Leonard E.G. Mboera, Kesheni Senkoro, Adriane Lesser, Elizabeth H. Shayo, Christopher J. Paul, and Marie L. Miranda. 2014. "A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania" International Journal of Environmental Research and Public Health 11, no. 5: 5317-5332. https://doi.org/10.3390/ijerph110505317

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

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