Evidence map›Paper›PMID 27880764›Full record

ArticlePLoS computational biology2016

Malaria Elimination Campaigns in the Lake Kariba Region of Zambia: A Spatial Dynamical Model.

Milen Nikolov, Caitlin A Bever, Alexander Upfill-Brown, Busiku Hamainza, John M Miller, Philip A Eckhoff, Edward A Wenger, Jaline Gerardin

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Trial
  2. Adherence to Mass Drug Administration with Dihydroartemisinin-Piperaquine andThe American journal of tropical medicine and hygiene · 2020
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  11. Recent Travel History andThe American journal of tropical medicine and hygiene · 2020
    Article
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  17. Model selection for hybrid dynamical systems via sparse regression.Proceedings. Mathematical, physical, and engineering sciences · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Milen NikolovInstitute for Disease Modeling, Bellevue, WA, United States.
Caitlin A BeverInstitute for Disease Modeling, Bellevue, WA, United States.
Alexander Upfill-BrownInstitute for Disease Modeling, Bellevue, WA, United States.
Busiku HamainzaNational Malaria Control Centre, Lusaka, Zambia.
John M MillerPATH Malaria Control and Elimination Program in Africa (MACEPA), Lusaka, Zambia.
Philip A EckhoffInstitute for Disease Modeling, Bellevue, WA, United States.
Edward A WengerInstitute for Disease Modeling, Bellevue, WA, United States.
Jaline GerardinInstitute for Disease Modeling, Bellevue, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As more regions approach malaria elimination, understanding how different interventions interact to reduce transmission becomes critical. The Lake Kariba area of Southern Province, Zambia, is part of a multi-country elimination effort and presents a particular challenge as it is an interconnected region of variable transmission intensities. In 2012-13, six rounds of mass test-and-treat drug campaigns were carried out in the Lake Kariba region. A spatial dynamical model of malaria transmission in the Lake Kariba area, with transmission and climate modeled at the village scale, was calibrated to the 2012-13 prevalence survey data, with case management rates, insecticide-treated net usage, and drug campaign coverage informed by surveillance. The model captured the spatio-temporal trends of decline and rebound in malaria prevalence in 2012-13 at the village scale. Various interventions implemented between 2016-22 were simulated to compare their effects on reducing regional transmission and achieving and maintaining elimination through 2030. Simulations predict that elimination requires sustaining high coverage with vector control over several years. When vector control measures are well-implemented, targeted mass drug campaigns in high-burden areas further increase the likelihood of elimination, although drug campaigns cannot compensate for insufficient vector control. If infections are regularly imported from outside the region into highly receptive areas, vector control must be maintained within the region until importations cease. Elimination in the Lake Kariba region is possible, although human movement both within and from outside the region risk damaging the success of elimination programs.

Indexed as

Models, StatisticalAntimalarialsComputer SimulationDisease EradicationFemaleHealth PromotionHumansMalariaMaleMosquito ControlOutcome Assessment, Health CarePopulation SurveillancePrevalenceRisk FactorsSpatio-Temporal AnalysisZambiaAntimalarials

Identifiers

PMID27880764
PMCPMC5120780

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Registered trials

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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.