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

Author

Listed:
  • Randall A. Kramer

    (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)

  • Leonard E. G. Mboera

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

  • Kesheni Senkoro

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

  • Adriane Lesser

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

  • Elizabeth H. Shayo

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

  • Christopher J. Paul

    (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)

  • Marie Lynn Miranda

    (School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA
    Departments of Pediatrics and Obstetrics & Gynecology, School of Medicine, University of Michigan, Ann Arbor, MI 48109, USA)

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.

Suggested Citation

  • Randall A. Kramer & Leonard E. G. Mboera & Kesheni Senkoro & Adriane Lesser & Elizabeth H. Shayo & Christopher J. Paul & Marie Lynn Miranda, 2014. "A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania," IJERPH, MDPI, vol. 11(5), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:5:p:5317-5332:d:36153
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    References listed on IDEAS

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    1. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1007-1065.
    2. Matteo Pedercini & Santiago Movilla Blanco & Birgit Kopainsky, 2011. "Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-12, November.
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    Cited by:

    1. Nina Berlin Rubin & Leonard E.G. Mboera & Adriane Lesser & Marie Lynn Miranda & Randall Kramer, 2020. "Process Evaluation of a Community-Based Microbial Larviciding Intervention for Malaria Control in Rural Tanzania," IJERPH, MDPI, vol. 17(19), pages 1-11, October.
    2. Konstantinos Mitsakakis & Sebastian Hin & Pie Müller & Nadja Wipf & Edward Thomsen & Michael Coleman & Roland Zengerle & John Vontas & Konstantinos Mavridis, 2018. "Converging Human and Malaria Vector Diagnostics with Data Management towards an Integrated Holistic One Health Approach," IJERPH, MDPI, vol. 15(2), pages 1-26, February.

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