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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Early-warning health and process indicators for sentinel surveillance in Madagascar 2007-2011
Creator	Richard, Vincent Heraud, Jean-Michel Rajatonirina, Soatiana Finlay-Vickers, Alyssa Piola, Patrice Rakotomanana, Fanjasoa Randrianasolo, Laurence Ravolomanana, Lisette Reynes, Jean-Marc Razanajatovo, Norosoa Fy Andriamandimby, Soa Randrianarivo-Solofoniaina, Armand
Source	Medline; PMC
abstract	Background: Epidemics 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. Methods: The 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. Results: From 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. Conclusion: A 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.
has issue date	2014-12-15(xsd:dateTime)
bibo:doi	10.5210/ojphi.v6i3.5400
bibo:pmid	25598869
has license	no-cc
sha1sum (hex)	51a2dad6387cc9aa3f9d5d73c83f1df8b4ba021d
schema:url	https://doi.org/10.5210/ojphi.v6i3.5400
resource representing a document's title	Early-warning health and process indicators for sentinel surveillance in Madagascar 2007-2011
has PubMed Central identifier	PMC4292534
has PubMed identifier	25598869
schema:publication	Online J Public Health Inform
resource representing a document's body	covid:51a2dad6387cc9aa3f9d5d73c83f1df8b4ba021d#body_text
is schema:about of	named entity 'PROCESS' named entity 'surveillance' named entity 'surveillance' named entity 'RESPONSE' named entity 'TIMELY' named entity 'INADEQUATE' named entity 'FEBRILE' covid:arg/51a2dad6387cc9aa3f9d5d73c83f1df8b4ba021d named entity 'INDICATORS' named entity 'EARLY' named entity 'PROCESS' named entity 'ISSUING' named entity 'WARNING' named entity 'DETECTION' named entity 'HEALTH' named entity 'WARNING' named entity 'MADAGASCAR' named entity '2011' named entity 'INDICATORS' named entity 'CONSTRUCTED' named entity 'AIM' named entity 'EVALUATION' named entity 'SENTINEL SURVEILLANCE' named entity 'SIGN' named entity 'THREATS' named entity 'SYSTEM' named entity 'POSE' named entity 'THEIR' named entity 'RAPIDLY' named entity 'EARLY DETECTION' named entity 'HEALTH' named entity 'MAJOR' named entity 'POOR' named entity 'EPIDEMICS' named entity 'RESOURCE' named entity 'MADAGASCAR' named entity 'COUNTRIES' named entity 'SURVEILLANCE' named entity 'HIGH' named entity 'YEARS' named entity 'POTENTIAL' named entity 'EARLY' named entity 'SENTINEL SURVEILLANCE' named entity 'ALERTS' named entity 'CAPABILITY' named entity 'ESTABLISHED' named entity 'PRESENT' named entity 'TOOLS' named entity 'BACKGROUND' named entity 'SURVEILLANCE SYSTEM' named entity 'QUALITY DATA' named entity 'SYNDROMES' named entity 'TRENDS' named entity 'IDENTIFYING' named entity 'diarrhoeal' named entity 'identifying' named entity 'evaluation' named entity 'Madagascar' named entity 'healthcare staff' named entity 'p<0.01' named entity 'Indian Ocean' named entity 'network management' named entity 'malaria' named entity 'influenza' named entity 'healthcare workers' named entity 'sentinel surveillance' named entity 'diarrhoea' named entity 'World Health Organisation' named entity 'Indian Ocean' named entity 'mobile phone'

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