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- Publisher Website: 10.1016/j.tmaid.2014.10.015
- Scopus: eid_2-s2.0-84916595451
- PMID: 25467086
- WOS: WOS:000347509100013
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Article: Risk of imported Ebola virus disease in China
Title | Risk of imported Ebola virus disease in China |
---|---|
Authors | |
Keywords | Mathematical model Isolation Evaluation Imported risk Effectiveness |
Issue Date | 2014 |
Citation | Travel Medicine and Infectious Disease, 2014, v. 12, n. 6, p. 650-658 How to Cite? |
Abstract | © 2014 Elsevier Ltd. Background More than 600,000 annual arrivals from Africa, 1.4 billion population and developing health care systems render China at non-negligible risk of imported Ebola virus disease (EVD). Method According to the natural history of EVD, we constructed a deterministic SEIR model. Three published EVD outbreaks in Africa were enrolled to calculate the basic reproduction number (R0) of EVD. Scenarios representing unreported and reported (with n weeks delay) imported EVD in China were simulated to evaluate the effectiveness of interventions assumed to be implemented in different periods of the outbreaks. Results Based on previous Africa outbreak incidence datasets, our mathematical model predicted the basic reproduction number of EVD in the range of 1.53-3.54. Adopting EVD prevalence at 0.04-0.16% from the same datasets and estimated missing information and monitoring rates at 1-10%, a total of 6-194 imported cases were predicted. Be a single case left unidentified/unreported, total attack rate was predicted to reach 60.19%-96.74%. Curve fitting results showed that earlier intervention benefits in exponential and linear decrease in prevalence and duration of outbreak respectively. Conclusion Based on past outbreak experience in China, there is a need to implement an internet-based surveillance and monitoring system in order to reinforce health policy, track suspected cases and protect the general public by timely interventions. |
Persistent Identifier | http://hdl.handle.net/10722/222167 |
ISSN | 2023 Impact Factor: 6.3 2023 SCImago Journal Rankings: 1.210 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, Tianmu | - |
dc.contributor.author | Leung, Ross Ka Kit | - |
dc.contributor.author | Liu, Ruchun | - |
dc.contributor.author | Chen, Faming | - |
dc.contributor.author | Zhang, Xixing | - |
dc.contributor.author | Zhao, Jin | - |
dc.contributor.author | Chen, Shuilian | - |
dc.date.accessioned | 2015-12-21T06:49:08Z | - |
dc.date.available | 2015-12-21T06:49:08Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Travel Medicine and Infectious Disease, 2014, v. 12, n. 6, p. 650-658 | - |
dc.identifier.issn | 1477-8939 | - |
dc.identifier.uri | http://hdl.handle.net/10722/222167 | - |
dc.description.abstract | © 2014 Elsevier Ltd. Background More than 600,000 annual arrivals from Africa, 1.4 billion population and developing health care systems render China at non-negligible risk of imported Ebola virus disease (EVD). Method According to the natural history of EVD, we constructed a deterministic SEIR model. Three published EVD outbreaks in Africa were enrolled to calculate the basic reproduction number (R0) of EVD. Scenarios representing unreported and reported (with n weeks delay) imported EVD in China were simulated to evaluate the effectiveness of interventions assumed to be implemented in different periods of the outbreaks. Results Based on previous Africa outbreak incidence datasets, our mathematical model predicted the basic reproduction number of EVD in the range of 1.53-3.54. Adopting EVD prevalence at 0.04-0.16% from the same datasets and estimated missing information and monitoring rates at 1-10%, a total of 6-194 imported cases were predicted. Be a single case left unidentified/unreported, total attack rate was predicted to reach 60.19%-96.74%. Curve fitting results showed that earlier intervention benefits in exponential and linear decrease in prevalence and duration of outbreak respectively. Conclusion Based on past outbreak experience in China, there is a need to implement an internet-based surveillance and monitoring system in order to reinforce health policy, track suspected cases and protect the general public by timely interventions. | - |
dc.language | eng | - |
dc.relation.ispartof | Travel Medicine and Infectious Disease | - |
dc.subject | Mathematical model | - |
dc.subject | Isolation | - |
dc.subject | Evaluation Imported risk | - |
dc.subject | Effectiveness | - |
dc.title | Risk of imported Ebola virus disease in China | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.tmaid.2014.10.015 | - |
dc.identifier.pmid | 25467086 | - |
dc.identifier.scopus | eid_2-s2.0-84916595451 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 650 | - |
dc.identifier.epage | 658 | - |
dc.identifier.eissn | 1873-0442 | - |
dc.identifier.isi | WOS:000347509100013 | - |
dc.identifier.issnl | 1477-8939 | - |