Evidence map›Paper›PMID 26068569›Full record

ReviewVirulence2015

New technologies in predicting, preventing and controlling emerging infectious diseases.

Eirini Christaki

Abstract readReview
In one paragraph

Review in Virulence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Clonal dispersion and pathogenic potential of multidrug-resistantVeterinary research forum : an international quarterly journal · 2024
    Article
  17. Article
  18. Article
  19. Travel-Related Diagnoses Among U.S. Nonmigrant Travelers or Migrants Presenting to U.S. GeoSentinel Sites - GeoSentinel Network, 2012-2021.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2023
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

1 author.

Eirini Christakia Hellenic Center for Disease Control and Prevention; First Department of Internal Medicine; AHEPA University Hospital ; Thessaloniki , Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance of emerging infectious diseases is vital for the early identification of public health threats. Emergence of novel infections is linked to human factors such as population density, travel and trade and ecological factors like climate change and agricultural practices. A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. In this review, we present new methods for regional and global infectious disease surveillance and advances in epidemic modeling aimed to predict and prevent future infectious diseases threats.

Indexed as

Epidemiological MonitoringCommunicable Disease ControlCommunicable Diseases, EmergingDisease Transmission, InfectiousHumansEmerging infectious diseasesepidemic modelingevent-based surveillanceoutbreaksurveillance

Identifiers

PMID26068569
PMCPMC4720248

What OpenQuestion holds

Textmetadata
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.