Evidence map›Paper›PMID 16978751›Full record

ArticleSocial science & medicine (1982)2006

Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management.

Richard D Smith

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 259 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
259citing 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

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

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199 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.

Richard D SmithHealth Economics Group, School of Medicine, Health Policy & Practice, University of East Anglia, Norwich NR4 7TJ, UK. Richard.Smith@uea.ac.uk <Richard.Smith@uea.ac.uk>

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increased globalisation comes the likelihood that infectious disease appearing in one country will spread rapidly to another, severe acute respiratory syndrome (SARS) being a recent example. However, although SARS infected some 10,000 individuals, killing around 1000, it did not lead to the devastating health impact that many feared, but a rather disproportionate economic impact. The disproportionate scale and nature of this impact has caused concern that outbreaks of more serious disease could cause catastrophic impacts on the global economy. Understanding factors that led to the impact of SARS might help to deal with the possible impact and management of such other infectious disease outbreaks. In this respect, the role of risk--its perception, communication and management--is critical. This paper looks at the role that risk, and especially the perception of risk, its communication and management, played in driving the economic impact of SARS. It considers the public and public health response to SARS, the role of the media and official organisations, and proposes policy and research priorities for establishing a system to better deal with the next global infectious disease outbreak. It is concluded that the potential for the rapid spread of infectious disease is not necessarily a greater threat than it has always been, but the effect that an outbreak can have on the economy is, which requires further research and policy development.

Indexed as

CommunicationGlobal HealthHealth Knowledge, Attitudes, PracticePublic HealthRisk AssessmentCommunicable DiseasesDisease OutbreaksHumansRisk FactorsRisk ManagementSevere Acute Respiratory SyndromeSocial Perception

Identifiers

PMID16978751
PMCPMC7130909

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.