Evidence map›Paper›PMID 31936412›Full record

ArticleMicroorganisms2020

Integrated Early Warning Surveillance: Achilles' Heel of One Health?

Laura Amato, Maria Grazia Dente, Paolo Calistri, Silvia Declich, On Behalf Of The MediLabSecure Working Group

Abstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
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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

5 authors.

Laura AmatoNational Centre for Global Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Maria Grazia DenteNational Centre for Global Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-0782-6564
Paolo CalistriNational Reference Center for Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise 'G.Caporale', 64100 Teramo, Italy.
Silvia DeclichNational Centre for Global Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
On Behalf Of The MediLabSecure Working Group

Funding

Directorate-General for International Cooperation and Development IFS/2018/402-247
6 · The paper itself

Abstract

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.

Indexed as

arbovirusearly warningintegrated surveillanceOne Health

Identifiers

PMID31936412
PMCPMC7022449

What OpenQuestion holds

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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.