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

Autor: Florian Girond, Vincent Herbreteau, Sixte Zigiumugabe, Fanjasoa Rakotomanana, Judith Hedje, Lea Randriamampionona, Patrice Piola, Laurence Randrianasolo, Télesphore Yao Brou, Morgan Mangeas, Christophe Rogier, Maherisoa Ratsitorahina, Milijaona Randrianarivelojosia
Přispěvatelé: Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP), UMR 228 Espace-Dev, Espace pour le développement, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Polytechnic of Namibia [Windhoek], Ministère de la Santé Publique [Antananarivo, Madagascar], U.S. President’s Malaria Initiative [Antananarivo] (PMI), U.S. President's Malaria Initiative [Atlanta, GA,], Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, Unité de Recherche sur les Maladies Infectieuses Tropicales Emergentes (URMITE), Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, INSB-INSB-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, INSB-INSB-Centre National de la Recherche Scientifique (CNRS), Institute for Biomedical Research of the French Armed Forces (IRBA), This research was supported by the USAID (Grant No. AID-687-G-13-00003). We thank administration authorities and health authorities from the Ministry of Health, the National Malaria Control Program and the President’s Malaria Initiative. We especially thank all the sentinel surveillance team of the Institut Pasteur de Madagascar., Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Ministère de la Santé Publique - Ministry of Public Health [Antananarivo, Madagascar], Institut des sciences biologiques (INSB-CNRS)-Institut des sciences biologiques (INSB-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, Institut des sciences biologiques (INSB-CNRS)-Institut des sciences biologiques (INSB-CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA), Solofoharivelo, Marie Chrystine, Institut de Recherche Biomédicale des Armées (IRBA)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
Veterinary medicine
MESH: Text Messaging
Indoor residual spraying
MESH: Madagascar
0302 clinical medicine
MESH: Aged
80 and over
MESH: Child
Medicine
Prospective Studies
030212 general & internal medicine
Child
Aged
80 and over
MESH: Aged
MESH: Middle Aged
MESH: Infant
Newborn
Middle Aged
MESH: Infant
3. Good health
Infectious Diseases
MESH: Internet
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology
MESH: Young Adult
Child
Preschool
MESH: Sentinel Surveillance
Female
Adult
MESH: Forecasting
medicine.medical_specialty
Short Message Service
Adolescent
030231 tropical medicine
MESH: Malaria
Young Adult
03 medical and health sciences
MESH: Software
parasitic diseases
Madagascar
Humans
Web application
Epidemics
[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
MESH: Epidemics
Aged
Retrospective Studies
MESH: Adolescent
Internet
Text Messaging
MESH: Humans
business.industry
Research
Public health
MESH: Child
Preschool
Infant
Newborn
Infant
Outbreak
MESH: Adult
MESH: Retrospective Studies
medicine.disease
Data science
MESH: Male
MESH: Prospective Studies
Malaria
Mews
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Early warning system
Parasitology
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
business
Sentinel Surveillance
MESH: Female
Software
Forecasting
Zdroj: Malaria Journal
Malaria Journal, BioMed Central, 2017, 16 (1), pp.72. ⟨10.1186/s12936-017-1728-9⟩
Malaria Journal, 2017, 16 (1), pp.72. ⟨10.1186/s12936-017-1728-9⟩
ISSN: 1475-2875
DOI: 10.1186/s12936-017-1728-9⟩
Popis: Background : The 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. Methods : This 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. Results : Roll 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. Conclusion : This approach aims to maximize the usefulness of a sentinel surveillance system to predict and detect epidemics in limited-resource environments.
Databáze: OpenAIRE
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