Evidence map›Paper›PMID 27580098›Full record

ArticlePloS one2016

Impact and Lessons Learned from Mass Drug Administrations of Malaria Chemoprevention during the Ebola Outbreak in Monrovia, Liberia, 2014.

Anna Kuehne, Amanda Tiffany, Estrella Lasry, Michel Janssens, Clement Besse, Chibuzo Okonta, Kwabena Larbi, Alfred C Pah, Kostas Danis, Klaudia Porten

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.6field-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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Mass drug administration for malaria.The Cochrane database of systematic reviews · 2021
    Pooled it
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  14. Use-case scenarios for an anti-Cryptosporidium therapeutic.PLoS neglected tropical diseases · 2021
    Review
  15. Article
  16. The impact of COVID-19 pandemic on malaria elimination.Parasite epidemiology and control · 2020
    Review
  17. Article
  18. Article
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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 at 6 institutions in 5 countries.

Anna KuehnePostgraduate Training for Applied Epidemiology, Robert Koch Institute, Berlin, Germany.
Amanda TiffanyEpicentre, Geneva, Switzerland.
Estrella LasryMédecins Sans Frontières, Operational Centre Paris, Tropical Medicine, New York, New York, United States of America.
Michel JanssensMédecins Sans Frontières, Operational Centre Paris, Monrovia Project, Monrovia, Liberia.
Clement BesseMédecins Sans Frontières, Operational Centre Paris, Monrovia Project, Monrovia, Liberia.
Chibuzo OkontaMédecins Sans Frontières, Operational Centre Paris, Desk Urgence, Paris, France.
Kwabena LarbiLiberian National Malaria Control Programme, Ministry of Health, Monrovia, Liberia.
Alfred C PahLiberian National Malaria Control Programme, Ministry of Health, Monrovia, Liberia.
Kostas DanisEuropean Programme for Intervention Epidemiology Training (EPIET), ECDC, Stockholm, Sweden.
Klaudia PortenEpicentre, Paris, France.
National Public Health Institute of Liberia · LRUniversity of Liberia · LREuropean Centre for Disease Prevention and Control · SEInstitut de Veille Sanitaire · FRMédecins Sans Frontières · USMédecins Sans Frontières · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn October 2014, during the Ebola outbreak in Liberia healthcare services were limited while malaria transmission continued. Médecins Sans Frontières (MSF) implemented a mass drug administration (MDA) of malaria chemoprevention (CP) in Monrovia to reduce malaria-associated morbidity. In order to inform future interventions, we described the scale of the MDA, evaluated its acceptance and estimated the effectiveness.

methodsMSF carried out two rounds of MDA with artesunate/amodiaquine (ASAQ) targeting four neighbourhoods of Monrovia (October to December 2014). We systematically selected households in the distribution area and administered standardized questionnaires. We calculated incidence ratios (IR) of side effects using poisson regression and compared self-reported fever risk differences (RD) pre- and post-MDA using a z-test.

findingsIn total, 1,259,699 courses of ASAQ-CP were distributed. All households surveyed (n = 222; 1233 household members) attended the MDA in round 1 (r1) and 96% in round 2 (r2) (212/222 households; 1,154 household members). 52% (643/1233) initiated ASAQ-CP in r1 and 22% (256/1154) in r2. Of those not initiating ASAQ-CP, 29% (172/590) saved it for later in r1, 47% (423/898) in r2. Experiencing side effects in r1 was not associated with ASAQ-CP initiation in r2 (IR 1.0, 95%CI 0.49-2.1). The incidence of self-reported fever decreased from 4.2% (52/1229) in the month prior to r1 to 1.5% (18/1229) after r1 (p<0.001) and decrease was larger among household members completing ASAQ-CP (RD = 4.9%) compared to those not initiating ASAQ-CP (RD = 0.6%) in r1 (p<0.001).

conclusionsThe reduction in self-reported fever cases following the intervention suggests that MDAs may be effective in reducing cases of fever during Ebola outbreaks. Despite high coverage, initiation of ASAQ-CP was low. Combining MDAs with longer term interventions to prevent malaria and to improve access to healthcare may reduce both the incidence of malaria and the proportion of respondents saving their treatment for future malaria episodes.

Indexed as

Disease OutbreaksAntimalarialsFemaleHemorrhagic Fever, EbolaHumansLiberiaMalariaMaleAntimalarials

Identifiers

PMID27580098
PMCPMC5007029
OpenAlexW2517211357

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.