Evidence map›Paper›PMID 27698277›Full record

ArticleThe American journal of tropical medicine and hygiene2016

Community-Based Surveillance to Monitor Mortality in a Malaria-Endemic and Ebola-Epidemic Setting in Rural Guinea.

Amanda Tiffany, Faya Pascal Moundekeno, Alexis Traoré, Melat Haile, Esther Sterk, Timothé Guilavogui, Micaela Serafini, Blaise Genton, Rebecca F Grais

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  9. Review
  10. Mortality surveillance during the COVID-19 pandemic.Bulletin of the World Health Organization · 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

9 authors at 3 institutions in 2 countries.

Amanda TiffanyEpicentre, Geneva, Switzerland. amanda.tiffany@geneva.msf.org.
Faya Pascal MoundekenoMédecins sans Frontières, Guéckédou, Guinea.
Alexis TraoréDirection Préfectorale de la Santé, Guéckédou, Guinea.
Melat HaileMédecins sans Frontières, Conakry, Guinea.
Esther SterkMédecins sans Frontières, Geneva, Switzerland.
Timothé GuilavoguiNational Malaria Control Program, Conakry, Guinea.
Micaela SerafiniMédecins sans Frontières, Geneva, Switzerland.
Blaise GentonSwiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland.
Rebecca F GraisEpicentre, Paris, France.
Médecins Sans Frontières · CHGamal Abdel Nasser University of Conakry · GNSwiss Tropical and Public Health Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple community-based approaches can aid in quantifying mortality in the absence of reliable health facility data. Community-based sentinel site surveillance that was used to document mortality and the systems utility for outbreak detection was evaluated. We retrospectively analyzed data from 46 sentinel sites in three sous-préfectures with a reinforced malaria control program and one sous-préfecture without (Koundou) in Guinea. Deaths were recorded by key informants and classified as due to malaria or another cause. Malaria deaths were those reported as due to malaria or fever in the 3 days before death with no other known cause. Suspect Ebola virus disease (sEVD) deaths were those due to select symptoms in the EVD case definition. Deaths were aggregated by sous-préfecture and analyzed by a 6-month period. A total of 43,000 individuals were monitored by the surveillance system; 1,242 deaths were reported from July 2011-June 2014, of which 55.2% (N = 686) were reported as due to malaria. Malaria-attributable proportional mortality decreased by 26.5% (95% confidence interval [CI] = 13.9-33.1, P < 0.001) in the program area and by 6.6% (95% CI = -17.3-30.5, P = 0.589) in Koundou. Sixty-eight deaths were classified as sEVD and increased by 6.1% (95% CI = 1.3-10.8, P = 0.021). Seventeen sEVD deaths were reported from November 2013 to March 2014 including the first two laboratory-confirmed EVD deaths. Community surveillance can capture information on mortality in areas where data collection is weak, but determining causes of death remains challenging. It can also be useful for outbreak detection if timeliness of data collection and reporting facilitate real-time data analysis.

Indexed as

Community NetworksAdolescentAdultChildChild, PreschoolEndemic DiseasesEpidemicsFemaleGuineaHemorrhagic Fever, EbolaHumansMalariaMalePatient Acceptance of Health CarePopulation SurveillanceRural Population

Identifiers

PMID27698277
PMCPMC5154456
OpenAlexW2529739446

What OpenQuestion holds

Textmetadata
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.