Evidence map›Paper›PMID 28193215›Full record

ArticleMalaria journal2017

Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network: a web-based application.

Florian Girond, Laurence Randrianasolo, Lea Randriamampionona, Fanjasoa Rakotomanana, Milijaona Randrianarivelojosia, Maherisoa Ratsitorahina, Télesphore Yao Brou, Vincent Herbreteau, Morgan Mangeas, Sixte Zigiumugabe and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Mobile technology: A tool for healthcare and a boon in pandemic.Journal of family medicine and primary care · 2022
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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

13 authors.

Florian GirondInstitut Pasteur de Madagascar, Antananarivo, Madagascar. florian.girond@gmail.com.ORCID 0000-0002-3894-8505
Laurence RandrianasoloInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Lea RandriamampiononaInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Fanjasoa RakotomananaInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Milijaona RandrianarivelojosiaInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Maherisoa RatsitorahinaInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Télesphore Yao BrouUMR 228 ESPACE-DEV (IRD, UAG, UM, UR), Station SEAS-OI, Saint-Pierre, 175 CD 26, 97414, L'Entre-Deux, Ile de la Réunion, France.
Vincent HerbreteauUMR 228 ESPACE-DEV (IRD, UAG, UM, UR), Station SEAS-OI, Saint-Pierre, 175 CD 26, 97414, L'Entre-Deux, Ile de la Réunion, France.
Morgan MangeasUMR 228 ESPACE-DEV (IRD, UAG, UM, UR), Station SEAS-OI, Saint-Pierre, 175 CD 26, 97414, L'Entre-Deux, Ile de la Réunion, France.
Sixte ZigiumugabeU.S. President's Malaria Initiative, Antananarivo, Madagascar.
Judith HedjeU.S. President's Malaria Initiative, Antananarivo, Madagascar.
Christophe RogierInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Patrice PiolaInstitut Pasteur de Madagascar, Antananarivo, Madagascar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of a malaria early warning system (MEWS) to trigger prompt public health interventions is a key step in adding value to the epidemiological data routinely collected by sentinel surveillance systems.

methodsThis study describes a system using various epidemic thresholds and a forecasting component with the support of new technologies to improve the performance of a sentinel MEWS. Malaria-related data from 21 sentinel sites collected by Short Message Service are automatically analysed to detect malaria trends and malaria outbreak alerts with automated feedback reports.

resultsRoll Back Malaria partners can, through a user-friendly web-based tool, visualize potential outbreaks and generate a forecasting model. The system already demonstrated its ability to detect malaria outbreaks in Madagascar in 2014.

conclusionThis approach aims to maximize the usefulness of a sentinel surveillance system to predict and detect epidemics in limited-resource environments.

Indexed as

EpidemicsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleForecastingHumansInfantInfant, NewbornInternetMadagascarMalariaMale

Identifiers

PMID28193215
PMCPMC5307694

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.