Evidence map›Paper›PMID 24840349›Full record

Trial reportInternational journal of environmental research and public health2014

A randomized longitudinal factorial design to assess malaria vector control and disease management interventions in rural Tanzania.

Randall A Kramer, Leonard E G Mboera, Kesheni Senkoro, Adriane Lesser, Elizabeth H Shayo, Christopher J Paul, Marie Lynn Miranda

Erratum issuedOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Larviciding to prevent malaria transmission.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Article
  3. Article
  4. Laboratory and semi-field evaluation of the efficacy ofCurrent research in parasitology & vector-borne diseases · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Cost of microbial larviciding for malaria control in rural Tanzania.Tropical medicine & international health : TM & IH · 2016
    Article
  12. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Randall A KramerDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC 27710, USA. christopher.paul@duke.edu.
Leonard E G MboeraNational Institute for Medical Research, 2448 Barack Obama Drive, P.O. Box 9653, Dar es Salaam, United Republic of Tanzania. lmboera@nimr.or.tz.
Kesheni SenkoroNational Institute for Medical Research, 2448 Barack Obama Drive, P.O. Box 9653, Dar es Salaam, United Republic of Tanzania. ksenkoro@nimr.or.tz.
Adriane LesserDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC 27710, USA. adriane.lesser@duke.edu.
Elizabeth H ShayoNational Institute for Medical Research, 2448 Barack Obama Drive, P.O. Box 9653, Dar es Salaam, United Republic of Tanzania. eshayo@nimr.or.tz.
Christopher J PaulDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC 27710, USA. christopher.paul@duke.edu.
Marie Lynn MirandaSchool of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA. mlmirand@umich.edu.
National Institute for Medical Research · TZDuke University · USDuke Institute for Health Innovation · USUniversity of Michigan–Ann Arbor · US

Funding

Implementation Science to Optimize Malaria Vector Control and Disease ManagementR01AI088009 · NIAID · DUKE UNIVERSITY · PI KRAMER, RANDALL A · 2010 to 2013
$2.1M
NIAID NIH HHS R01 AI088009NIAID NIH HHS R01AI088009
6 · The paper itself

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.

Indexed as

CulicidaeDisease ManagementInsecticidesAnimalsCommunity Health WorkersCross-Sectional StudiesDelivery of Health CareDiagnostic Tests, RoutineHealth Knowledge, Attitudes, PracticeHumansInsect VectorsLarvaLongitudinal StudiesMalariaParasitemiaRural HealthInsecticides

Identifiers

PMID24840349
PMCPMC4053883
OpenAlexW2082783762

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.