Evidence map›Paper›PMID 37078883›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2023

Epidemic intelligence data of Crimean-Congo haemorrhagic fever, European Region, 2012 to 2022: a new opportunity for risk mapping of neglected diseases.

Angela Fanelli, Johannes Christof Schnitzler, Marco De Nardi, Alastair Donachie, Ilaria Capua, Gianvito Lanave, Domenico Buonavoglia, Paula Caceres-Soto, Paolo Tizzani

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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  7. One health investigation following a cluster of Crimean-Congo haemorrhagic fever, North Macedonia, July to November 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  8. Article
  9. Review
  10. Integrating indicator-based and event-based surveillance data for risk mapping of West Nile virus, Europe, 2006 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  11. Review
  12. Article
  13. Cases of Crimean-Congo haemorrhagic fever in North Macedonia, July to August 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
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

9 authors at 4 institutions in 4 countries.

Angela FanelliDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Johannes Christof SchnitzlerIntelligence Innovation and Integration unit, World Health Organization, Berlin, Germany.
Marco De NardiSAFOSO AG, Liebefeld, Switzerland.
Alastair DonachieIntelligence Innovation and Integration unit, World Health Organization, Berlin, Germany.
Ilaria CapuaOne Health Center of Excellence, University of Florida, Gainesville, Florida, United States.
Gianvito LanaveDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Domenico BuonavogliaDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Paula Caceres-SotoWorld Animal Health Information and Analysis Department, World Organisation for Animal Health, Paris, France.
Paolo TizzaniWorld Animal Health Information and Analysis Department, World Organisation for Animal Health, Paris, France.
Organisation Mondiale de la Santé Animale · FRUniversity of Bari Aldo Moro · ITUniversity of Florida Health · USSafoso (Switzerland) · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

BackgroundThe Epidemic Intelligence from Open Sources (EIOS) system, jointly developed by the World Health Organisation (WHO), the Joint Research Centre (JRC) of the European Commission and various partners, is a web-based platform that facilitate the monitoring of information on public health threats in near real-time from thousands of online sources.AimsTo assess the capacity of the EIOS system to strengthen data collection for neglected diseases of public health importance, and to evaluate the use of EIOS data for improving the understanding of the geographic extents of diseases and their level of risk.MethodsA Bayesian additive regression trees (BART) model was implemented to map the risk of Crimean-Congo haemorrhagic fever (CCHF) occurrence in 52 countries and territories within the European Region between January 2012 and March 2022 using data on CCHF occurrence retrieved from the EIOS system.ResultsThe model found a positive association between all temperature-related variables and the probability of CCHF occurrence, with an increased risk in warmer and drier areas. The highest risk of CCHF was found in the Mediterranean basin and in areas bordering the Black Sea. There was a general decreasing risk trend from south to north across the entire European Region.ConclusionThe study highlights that the information gathered by public health intelligence can be used to build a disease risk map. Internet-based sources could aid in the assessment of new or changing risks and planning effective actions in target areas.

Indexed as

EpidemicsHemorrhagic Fever, CrimeanHemorrhagic Fever Virus, Crimean-CongoBayes TheoremHumansNeglected DiseasesCrimean-Congo haemorrhagic feverdigital dataEIOSepidemic intelligencerisk mapping

Identifiers

PMID37078883
PMCPMC10283452
OpenAlexW4366463080

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.