Evidence map›Paper›PMID 25598869›Full record

ArticleOnline journal of public health informatics2014

Early-warning health and process indicators for sentinel surveillance in Madagascar 2007-2011.

Soatiana Rajatonirina, Fanjasoa Rakotomanana, Laurence Randrianasolo, Norosoa Harline Razanajatovo, Soa Fy Andriamandimby, Lisette Ravolomanana, Armand Eugène Randrianarivo-Solofoniaina, Jean-Marc Reynes, Patrice Piola, Alyssa Finlay-Vickers and 2 more

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

12 authors.

Soatiana RajatonirinaUnité d'Epidémiologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Fanjasoa RakotomananaUnité d'Epidémiologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Laurence RandrianasoloUnité d'Epidémiologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Norosoa Harline RazanajatovoUnité de Virologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Soa Fy AndriamandimbyUnité de Virologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Lisette RavolomananaDirections des Urgences et de la Lutte contre les Maladies Négligées (DULMN), Ministère de la Santé Publique, Antananarivo, Madagascar.
Armand Eugène Randrianarivo-SolofoniainaDirection de la Veille Sanitaire et de la Surveillance Epidémiologique (DVSSE), Ministère de la Santé Publique, Antananarivo, Madagascar.
Jean-Marc ReynesUnité de Virologie, Institut Pasteur de Madagascar. Present address: Unité de Biologie des Infections Virales Emergentes / Institut Pasteur de Lyon.
Patrice PiolaUnité d'Epidémiologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Alyssa Finlay-VickersMalaria Branch, Division of Parasitic Diseases US Centers for Disease Control and Prevention, President's Malaria Initiative, Madagascar.
Jean-Michel HeraudUnité de Virologie, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Vincent RichardUnité d'épidémiologie, Institut Pasteur de Dakar, Dakar, Sénégal.

Funding

PREPAREDNESS AND RESPONSE TO AVIAN AND PANDEMIC INFLUENZA IN MADAGASCARU51IP000327 · IP · PASTEUR INSTITUTE FROM MADAGASCAR · PI HERAUD, JEAN-MICHEL · 2009 to 2012
$1.6M
NCIRD CDC HHS U51 IP000327
6 · The paper itself

Abstract

backgroundEpidemics pose major threats in resource-poor countries, and surveillance tools for their early detection and response are often inadequate. In 2007, a sentinel surveillance system was established in Madagascar, with the aim of rapidly identifying potential epidemics of febrile or diarrhoeal syndromes and issuing alerts. We present the health and process indicators for the five years during which this system was constructed, showing the spatiotemporal trends, early-warning sign detection capability and process evaluation through timely analyses of high-quality data.

methodsThe Malagasy sentinel surveillance network is currently based on data for fever and diarrhoeal syndromes collected from 34 primary health centres and reported daily via the transmission of short messages from mobile telephones. Data are analysed daily at the Institut Pasteur de Madagascar to make it possible to issue alerts more rapidly, and integrated process indicators (timeliness, data quality) are used to monitor the system.

resultsFrom 2007 to 2011, 917,798 visits were reported. Febrile syndromes accounted for about 11% of visits annually, but the trends observed differed between years and sentinel sites. From 2007 to 2011, 21 epidemic alerts were confirmed. However, delays in data transmission were observed (88% transmitted within 24 hours in 2008; 67% in 2011) and the percentage of forms transmitted each week for validity control decreased from 99.9% in 2007 to 63.5% in 2011.

conclusionA sentinel surveillance scheme should take into account both epidemiological and process indicators. It must also be governed by the main purpose of the surveillance and by local factors, such as the motivation of healthcare workers and telecommunication infrastructure. Permanent evaluation indicators are required for regular improvement of the system.

Indexed as

early warningMadagascarmobile phoneSentinel surveillance

Identifiers

PMID25598869
PMCPMC4292534

What OpenQuestion holds

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Registered trials

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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.