Evidence map›Paper›PMID 34972117›Full record

ArticlePloS one2021

Integrating digital and field surveillance as complementary efforts to manage epidemic diseases of livestock: African swine fever as a case study.

Michele Tizzani, Violeta Muñoz-Gómez, Marco De Nardi, Daniela Paolotti, Olga Muñoz, Piera Ceschi, Arvo Viltrop, Ilaria Capua

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

8 authors at 4 institutions in 3 countries.

Michele TizzaniInstitute for Scientific Interchange Foundation, Torino, Italy.ORCID 0000-0003-3068-5111
Violeta Muñoz-GómezSAFOSO, Liebefeld, Switzerland.ORCID 0000-0001-5874-0317
Marco De NardiSAFOSO, Liebefeld, Switzerland.
Daniela PaolottiInstitute for Scientific Interchange Foundation, Torino, Italy.
Olga MuñozOne Health Centre of Excellence, Gainesville, Florida, Unites States of America.
Piera CeschiDepartment of Environmental and Global Health, College of Public Health and Health Professionals, Gainesville, Florida, United States of America.
Arvo ViltropEstonian University of Life Sciences, Tartu, Estonia.
Ilaria CapuaDepartment of Environmental and Global Health, College of Public Health and Health Professionals, Gainesville, Florida, United States of America.
Institute for Scientific Interchange · ITEstonian University of Life Sciences · EESafoso (Switzerland) · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has clearly shown that efficient management of infectious diseases requires a top-down approach which must be complemented with a bottom-up response to be effective. Here we investigate a novel approach to surveillance for transboundary animal diseases using African Swine (ASF) fever as a model. We collected data both at a population level and at the local level on information-seeking behavior respectively through digital data and targeted questionnaire-based surveys to relevant stakeholders such as pig farmers and veterinary authorities. Our study shows how information-seeking behavior and resulting public attention during an epidemic, can be identified through novel data streams from digital platforms such as Wikipedia. Leveraging attention in a critical moment can be key to providing the correct information at the right moment, especially to an interested cohort of people. We also bring evidence on how field surveys aimed at local workers and veterinary authorities remain a crucial tool to assess more in-depth preparedness and awareness among front-line actors. We conclude that these two tools should be used in combination to maximize the outcome of surveillance and prevention activities for selected transboundary animal diseases such as ASF.

Indexed as

Epidemiological MonitoringAfrican Swine FeverAnimalsAwarenessEpidemicsEstoniaFarmersInternetLivestockStatistics, NonparametricSurveys and QuestionnairesSwine

Identifiers

PMID34972117
PMCPMC8719698
OpenAlexW4205668490

What OpenQuestion holds

Textmetadata
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.