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Authors = Kesheni Senkoro

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Open AccessCorrection Correction: Kramer, R.A., et al. 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
Int. J. Environ. Res. Public Health 2014, 11(9), 8622-8623; doi:10.3390/ijerph110908622
Received: 10 July 2014 / Accepted: 18 July 2014 / Published: 25 August 2014
Viewed by 1275 | PDF Full-text (119 KB) | HTML Full-text | XML Full-text
Abstract The authors wish to make the following corrections to their paper published in the International Journal of Environmental Research and Public Health [1]:[...] Full article
Open AccessArticle 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(5), 5317-5332; doi:10.3390/ijerph110505317
Received: 14 March 2014 / Revised: 9 May 2014 / Accepted: 9 May 2014 / Published: 16 May 2014
Cited by 3 | Viewed by 2748 | PDF Full-text (540 KB) | HTML Full-text | XML Full-text | Correction
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
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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. Full article
(This article belongs to the Special Issue Epidemiology, Prevention and Control of Malaria)

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