Evidence map›Paper›PMID 33789715›Full record

ArticleConflict and health2021

Complex emergencies and the control and elimination of neglected tropical diseases in Africa: developing a practical approach for implementing safe and effective mapping and intervention strategies.

Louise A Kelly-Hope, Angelia M Sanders, Emma Harding-Esch, Johan Willems, Fatima Ahmed, Fiona Vincer, Rebecca Hill

Open access · goldAbstract read
In one paragraph

Article in Conflict and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  8. Control, elimination, and eradication efforts for neglected tropical diseases in the World Health Organization African region over the last 30 years: A scoping review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 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

7 authors at 6 institutions in 3 countries.

Louise A Kelly-HopeLiverpool School of Tropical Medicine, Liverpool, UK. Louise.Kelly-Hope@lstmed.ac.uk.ORCID http://orcid.org/0000-0002-3330-7629
Angelia M SandersThe Carter Center, Atlanta, USA.
Emma Harding-EschLondon School of Hygiene & Tropical Medicine, London, UK.
Johan WillemsCBM, Bensheim, Germany.
Fatima AhmedThe MENTOR Initiative, Haywards Heath, UK.
Fiona VincerThe MENTOR Initiative, Haywards Heath, UK.
Rebecca HillSightsavers, Haywards Heath, UK.
Mentor · GBCarter Center · USChristoffel Blinden Mission · DELiverpool School of Tropical Medicine · GBLondon School of Hygiene & Tropical Medicine · GBSightsavers · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplex emergencies resulting from conflict and political instability are a major challenge for national neglected tropical diseases (NTDs) control and elimination programmes, especially in sub-Saharan Africa. Currently, there are no formal guidelines for national programmes to use and plan activities in these humanitarian situations, therefore the aim of this study was to develop a new methodological approach for making decisions about the implementation of safe and effective mapping and mass drug administration (MDA) intervention strategies.

methodsThe study focussed on the 47 World Health Organization's African Region (AFR) countries. NTD data were based on five diseases controlled by preventive chemotherapy (PC; i.e. lymphatic filariasis, onchocerciasis, schistosomiasis, soil transmitted helminths, trachoma), obtained from the WHO data portals and The Global Trachoma Atlas for 2018. Data on complex emergencies were obtained from the Armed Conflict Location and Event Data Project for 2018-2019. NTD and conflict data were summarised and mapped. A decision tree was developed using NTD mapping, endemicity, MDA and implementing partners data, together with conflict status information at district level. South Sudan was used as a case study, given its current nexus of high NTD prevalence, incidences of conflict, and the presence of a national NTD programme and supporting partners.

resultsFor the five NTDs, between 26 and 41 countries required PC, 69.2-212.7 million people were treated with coverage between 54.8-71.4%. In total 15,273 conflict events were reported including high rates of violence against civilians (29.4%), protests (28.8%), and battles (18.1%). The decision tree process included four main steps including i) information gathering ii) determine a disease mapping strategy iii) determine an MDA implementation strategy and iv) create a disease and conflict database. Based on these steps, risk maps were created. The South Sudan case study on onchocerciasis found the majority of the districts requiring mapping or MDA had a conflict event, and required specialised methods adapted to context and risk, with support from implementation partners in selected areas.

conclusionsThe paper presents a new methodological approach for implementing safe and effective mapping and intervention strategies in NTD endemic countries with ongoing complex emergencies, which will help to address challenges and make progress toward the NTD Roadmap targets of 2030.

Indexed as

Complex emergenciesConflictCrisisLymphatic filariasisMappingMass drug administrationMDANeglected tropical diseasesNTDsOnchocerciasisSchistosomiasisSDGsSoil transmitted helminthsSouth SudanSub-Saharan AfricaSustainable development goalsTrachoma

Identifiers

PMID33789715
PMCPMC8010498
OpenAlexW3143956957

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.