Integrated Early Warning Surveillance: Achilles' Heel of One Health?
One Health
arbovirus
early warning
integrated surveillance
Journal
Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893
Informations de publication
Date de publication:
08 Jan 2020
08 Jan 2020
Historique:
received:
12
12
2019
revised:
30
12
2019
accepted:
02
01
2020
entrez:
16
1
2020
pubmed:
16
1
2020
medline:
16
1
2020
Statut:
epublish
Résumé
Emerging and re-emerging infectious diseases and zoonoses indicate the importance of the One Health (OH) approach for early warning. At present, even when surveillance data are available, they are infrequently timeously shared between the health sectors. In the context of the MediLabSecure (MLS) Project, we investigated the collection of a set of surveillance indicators able to provide data for the implementation of integrated early warning systems in the 22 MLS countries of the Mediterranean, Black Sea and Sahel regions. We used an online questionnaire (covering vector, human, and animal sectors), focusing on seven relevant arboviruses, that was submitted to 110 officially appointed experts. Results showed that West Nile virus was perceived as the most relevant zoonotic pathogen, while Dengue virus was the most relevant non-zoonotic pathogen in the study area. Data collection of early warning indicators is in place at a different level for all the investigated pathogens and in almost all the MLS Countries. Further assessments on the reliability of the collection in place and on the feasibility of piloting an integrated early warning system for arbovirus could verify if integrated early warning really represents the Achilles' heel of OH.
Identifiants
pubmed: 31936412
pii: microorganisms8010084
doi: 10.3390/microorganisms8010084
pmc: PMC7022449
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Directorate-General for International Cooperation and Development
ID : IFS/2018/402-247
Références
Nature. 2008 Feb 21;451(7181):990-3
pubmed: 18288193
Elife. 2015 Jun 30;4:e08347
pubmed: 26126267
Transbound Emerg Dis. 2010 Jun;57(3):154-61
pubmed: 20202176
PLoS One. 2016 Jan 25;11(1):e0144570
pubmed: 26808021
Lancet Infect Dis. 2017 Nov;17(11):1109-1111
pubmed: 28822782
Zoonoses Public Health. 2019 May;66(3):276-287
pubmed: 30724030
Am J Trop Med Hyg. 2010 Aug;83(2 Suppl):5-13
pubmed: 20682900
Am J Trop Med Hyg. 2010 Aug;83(2 Suppl):58-64
pubmed: 20682907
Int J Infect Dis. 2018 Feb;67:25-35
pubmed: 29196275
Stat Methods Med Res. 2014 Dec;23(6):572-90
pubmed: 24659490
Lancet Planet Health. 2017 Jul;1(4):e142-e151
pubmed: 29851600
Euro Surveill. 2018 Aug;23(32):
pubmed: 30107870
Lancet Infect Dis. 2014 Jul;14(7):619-26
pubmed: 24841859
Proc Natl Acad Sci U S A. 2009 Jan 20;106(3):955-9
pubmed: 19144928
Int J Environ Res Public Health. 2013 Aug 09;10(8):3543-62
pubmed: 23939389
Transbound Emerg Dis. 2017 Apr;64(2):449-458
pubmed: 26032967
Spat Spatiotemporal Epidemiol. 2019 Jun;29:177-185
pubmed: 31128627
Annu Rev Entomol. 2008;53:61-81
pubmed: 17645411
Rev Sci Tech. 2002 Apr;21(1):67-76
pubmed: 11974631
Front Public Health. 2015 Jun 08;3:157
pubmed: 26106592
PLoS Negl Trop Dis. 2019 Jun 13;13(6):e0007314
pubmed: 31194743
Parasit Vectors. 2010 Apr 08;3(1):35
pubmed: 20377873
Prev Vet Med. 2015 Jun 1;120(1):124-30
pubmed: 25722055
PLoS Pathog. 2013;9(7):e1003467
pubmed: 23853589
Prev Vet Med. 2015 Jun 1;120(1):39-50
pubmed: 25623972
Nat Microbiol. 2019 May;4(5):854-863
pubmed: 30833735
Euro Surveill. 2019 Feb;24(9):
pubmed: 30862329
Int J Environ Res Public Health. 2018 Mar 10;15(3):
pubmed: 29534445
Am J Trop Med Hyg. 2010 Aug;83(2 Suppl):75-85
pubmed: 20682910
BMC Med Res Methodol. 2018 Jul 5;18(1):72
pubmed: 29976146
Acta Trop. 2018 Jun;182:80-91
pubmed: 29454734