Evidence map›Paper›PMID 15522679›Full record

ReviewThe Lancet. Infectious diseases2004

Epidemiological and genetic analysis of severe acute respiratory syndrome.

Christl A Donnelly, Matthew C Fisher, Christophe Fraser, Azra C Ghani, Steven Riley, Neil M Ferguson, Roy M Anderson

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Gastrointestinal tract and viral pathogens.World journal of virology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Evolution and genetic diversity of SARS-CoV-2 in Africa using whole genome sequences.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. COVID-19: Immunology and treatment options.Clinical immunology (Orlando, Fla.) · 2020
    Review
  18. Article
  19. Article
  20. 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

7 authors.

Christl A DonnellyDepartment of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, London, UK. c.donnelly@imperial.ac.uk <c.donnelly@imperial.ac.uk>
Matthew C Fisher
Christophe Fraser
Azra C Ghani
Steven Riley
Neil M Ferguson
Roy M Anderson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome (SARS) epidemics in 2002-2003 showed how quickly a novel infectious disease can spread both within communities and internationally. We have reviewed the epidemiological and genetic analyses that have been published both during and since these epidemics, and show how quickly data were collected and analyses undertaken. Key factors that determine the speed and scale of transmission of an infectious disease were estimated using statistical and mathematical modelling approaches, and phylogenetic analyses provided insights into the origin and evolution of the SARS-associated coronavirus. The SARS literature continues to grow, and it is hoped that international collaboration in the analysis of epidemiological and contact-network databases will provide further insights into the spread of this newly emergent infectious disease.

Indexed as

ChinaCommunicable Diseases, EmergingDisease OutbreaksDisease Transmission, InfectiousHumansModels, TheoreticalSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirus

Identifiers

PMID15522679
PMCPMC7106498

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.