Evidence map›Paper›PMID 26490037›Full record

ArticleParasites & vectors2015

Evaluating long-term effectiveness of sleeping sickness control measures in Guinea.

Abhishek Pandey, Katherine E Atkins, Bruno Bucheton, Mamadou Camara, Serap Aksoy, Alison P Galvani, Martial L Ndeffo-Mbah

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 54 citations in OpenAlex.

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  12. ModellingJournal of the Royal Society, Interface · 2021
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  19. Sleeping Sickness at the Crossroads.Tropical medicine and infectious disease · 2020
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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

7 authors at 2 institutions in 2 countries.

Abhishek PandeyCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06510, USA.
Katherine E AtkinsHAT National Control Program, Ministry of Health, Conakry, Republic of Guinea. Katherine.Atkins@lshtm.ac.uk.
Bruno BuchetonHAT National Control Program, Ministry of Health, Conakry, Republic of Guinea.
Mamadou CamaraHAT National Control Program, Ministry of Health, Conakry, Republic of Guinea. mamadycamarafr@yahoo.fr.
Serap AksoyDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06510, USA.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06510, USA.
Martial L Ndeffo-MbahCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06510, USA.
Yale University · USBiologie et Génétique des Interactions Plante-Parasite · FR

Funding

Evolutionary Genetics of Tsetse and Its SymbiontsR01AI068932 · NIAID · YALE UNIVERSITY · PI AKSOY, SERAP, CACCONE, ADALGISA · 2008 to 2018
$7.0M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS RR029676-01NCRR NIH HHS RR19895NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676NIAID NIH HHS R01 AI068932
6 · The paper itself

Abstract

backgroundHuman African Trypanosomiasis threatens human health across Africa. The subspecies T.b. gambiense is responsible for the vast majority of reported HAT cases. Over the past decade, expanded control efforts accomplished a substantial reduction in HAT transmission, spurring the WHO to include Gambian HAT on its roadmap for 2020 elimination. To inform the implementation of this elimination goal, we evaluated the likelihood that current control interventions will achieve the 2020 target in Boffa prefecture in Guinea, which has one of the highest prevalences for HAT in the country, and where vector control measures have been implemented in combination with the traditional screen and treat strategy.

methodsWe developed a three-species mathematical model of HAT and used a Bayesian melding approach to calibrate the model to epidemiological and entomological data from Boffa. From the calibrated model, we generated the probabilistic predictions regarding the likelihood that the current HAT control programs could achieve elimination by 2020 in Boffa.

resultsOur model projections indicate that if annual vector control is implemented in combination with annual or biennial active case detection and treatment, the probability of eliminating HAT as public health problem in Boffa by 2020 is over 90%. Annual implementation of vector control alone has a significant impact but a decreased chance of reaching the objective (77%). However, if the ongoing control efforts are interrupted, HAT will continue to remain a public health problem. In the presence of a non-human animal transmission reservoir, intervention strategies must be maintained at high coverage, even after 2020 elimination, to prevent HAT reemerging as a public health problem.

conclusionsComplementing active screening and treatment with vector control has the potential to achieve the elimination target before 2020 in the Boffa focus. However, surveillance must continue after elimination to prevent reemergence.

Indexed as

Health Services ResearchAnimalsAntiprotozoal AgentsCommunicable Disease ControlDisease EradicationDisease Transmission, InfectiousGuineaHumansModels, TheoreticalTrypanosomiasis, AfricanAntiprotozoal Agents

Identifiers

PMID26490037
PMCPMC4618537
OpenAlexW2103178642

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.