The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Risk Society, Towards a New Modernity
Leiss, W., Beck, U., Ritter, M., Lash, S., & Wynne, B. (1994) · Canadian Journal of Sociology / Cahiers canadiens de sociologie · doi:10.2307/3341155 · Cited by 12,546
Slovic, P. (1987) · Science · doi:10.1126/science.3563507 · Cited by 9,271
Risk Society: Towards a New Modernity
Boyd, W., Beck, U., & Shrader-Frechette, K. S. (1993) · Economic Geography · doi:10.2307/143601 · Cited by 9,215
Judgement under Uncertainty: Heuristics and Biases
Hirschman, E. C., Kahneman, D., Slovic, P., & Tversky, A. (1983) · Journal of Marketing Research · doi:10.2307/3151689 · Cited by 3,813
Slovic, P. (2016) · Routledge eBooks · doi:10.4324/9781315661773 · Cited by 2,217
Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
Lipsitch, M., Cohen, T., Cooper, B., Robins, J. M., Ma, S., James, L., Gopalakrishna, G., Chew, S. K., Tan, C. C., Samore, M. H., et al. (2003) · Science · doi:10.1126/science.1086616 · Cited by 1,485
Judgement under Uncertainty: Heuristics and Biases
Kahneman, D. J., Slovic, P., & Tversky, A. (1985) · The British Journal for the Philosophy of Science · Cited by 1,361
The Social Amplification of Risk
(2003) · doi:10.1017/cbo9780511550461 · Cited by 1,284
Herd Behavior in Financial Markets
Bikhchandani, S., & Sharma, S. (2000) · IMF Staff Papers · doi:10.2307/3867650 · Cited by 1,203
Riley, S., Fraser, C., Donnelly, C. A., Ghani, A. C., Abu-Raddad, L. J., Hedley, A. J., Leung, G. M., Ho, L.-M., Lam, T.-H., Thach, T. Q., et al. (2003) · Science · doi:10.1126/science.1086478 · Cited by 1,150
Cited by
Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Baghbanzadeh, M., Aghamohammadi, N., Zhang, W., & Haque, U. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa033 · Cited by 1,610
“The lack of transparency of the Chinese health ministry has been cited as one of the largest contributors to the spread of the virus globally.(4) At the end of the epidemic, China reported >8,000 cases of the disease and 774 deaths, and a case-fatality rate of 7%.”
BackgroundQi, F., Qian, S., Zhang, S., & Zhang, Z. (2020) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2020.03.044 · Cited by 905
“Most of the coronaviruses are associated with mild clinical symptoms, except SARS-CoV and MERS-CoV, showing fatality rate of 9.6% and 34%, respectively [25, 26] .”
BackgroundInfluential‘No Ebola…still doomed’ – The Ebola-induced tourism crisis
Novelli, M., Gussing Burgess, L., Jones, A., & Ritchie, B. W. (2018) · Annals of Tourism Research · doi:10.1016/j.annals.2018.03.006 · Cited by 641
COVID-19 fear in Eastern Europe: validation of the Fear of COVID-19 Scale
Reznik, A., Gritsenko, V., Konstantinov, V., Khamenka, N., & Isralowitz, R. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00283-3 · Cited by 479
Aiello, A. E., Murray, G. F., Perez, V., Coulborn, R. M., Davis, B. M., Uddin, M., Shay, D. K., Waterman, S. H., & Monto, A. S. (2010) · The Journal of Infectious Diseases · doi:10.1086/650396 · Cited by 354
Metadata
- Authors
- Smith, R. D.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 63
- Issue
- 12
- Pages
- 3113-3123
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W1996050058
- Cited by
- 759
- References
- 53
- FWCI
- 43.81
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management. https://app.cochat.ai/papers/10.1016/j.socscimed.2006.08.004
- The paper
- Smith, R. D. (2006). Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management. Social Science & Medicine. https://doi.org/10.1016/j.socscimed.2006.08.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.