Evidence map›Paper›PMID 35440085›Full record

ArticleBMC medicine2022

The potential impact of Anopheles stephensi establishment on the transmission of Plasmodium falciparum in Ethiopia and prospective control measures.

Arran Hamlet, Dereje Dengela, J Eric Tongren, Fitsum G Tadesse, Teun Bousema, Marianne Sinka, Aklilu Seyoum, Seth R Irish, Jennifer S Armistead, Thomas Churcher

Abstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  17. Overview ofComparative medicine · 2024
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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

10 authors.

Arran HamletMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. arran.hamlet14@imperial.ac.uk.ORCID 0000-0003-0871-0640
Dereje DengelaPMI VectorLink Project, Abt Associates, 6130 Executive Blvd, Rockville, MD, 20852, USA.
J Eric TongrenU.S. President's Malaria Initiative (PMI), Addis Ababa, Ethiopia.
Fitsum G TadesseArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Teun BousemaRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Marianne SinkaDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.
Aklilu SeyoumPMI VectorLink Project, Abt Associates, 6130 Executive Blvd, Rockville, MD, 20852, USA.
Seth R IrishU.S. President's Malaria Initiative, Entomology Branch Division of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Jennifer S ArmisteadU.S. President's Malaria Initiative, U.S. Agency for International Development, Washington, D.C., USA.
Thomas ChurcherMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.

Funding

Department of HealthMedical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundSub-Saharan Africa has seen substantial reductions in cases and deaths due to malaria over the past two decades. While this reduction is primarily due to an increasing expansion of interventions, urbanisation has played its part as urban areas typically experience substantially less malaria transmission than rural areas. However, this may be partially lost with the invasion and establishment of Anopheles stephensi. A. stephensi, the primary urban malaria vector in Asia, was first detected in Africa in 2012 in Djibouti and was subsequently identified in Ethiopia in 2016, and later in Sudan and Somalia. In Djibouti, malaria cases have increased 30-fold from 2012 to 2019 though the impact in the wider region remains unclear.

methodsHere, we have adapted an existing model of mechanistic malaria transmission to estimate the increase in vector density required to explain the trends in malaria cases seen in Djibouti. To account for the observed plasticity in An. stephensi behaviour, and the unknowns of how it will establish in a novel environment, we sample behavioural parameters in order to account for a wide range of uncertainty. This quantification is then applied to Ethiopia, considering temperature-dependent extrinsic incubation periods, pre-existing vector-control interventions and Plasmodium falciparum prevalence in order to assess the potential impact of An. stephensi establishment on P. falciparum transmission. Following this, we estimate the potential impact of scaling up ITN (insecticide-treated nets)/IRS (indoor residual spraying) and implementing piperonyl butoxide (PBO) ITNs and larval source management, as well as their economic costs.

resultsWe estimate that annual P. falciparum malaria cases could increase by 50% (95% CI 14-90) if no additional interventions are implemented. The implementation of sufficient control measures to reduce malaria transmission to pre-stephensi levels will cost hundreds of millions of USD.

conclusionsSubstantial heterogeneity across the country is predicted and large increases in vector control interventions could be needed to prevent a major public health emergency.

Indexed as

AnophelesMalariaMalaria, FalciparumAnimalsEthiopiaHumansMosquito VectorsPlasmodium falciparumProspective StudiesAnopheles stephensiEthiopiaInsecticideInvasiveMalariaMathematical modellingVector control

Identifiers

PMID35440085
PMCPMC9020030

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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.