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Article: Real-time forecasting of infectious disease epidemics
Title | Real-time forecasting of infectious disease epidemics |
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Authors | |
Issue Date | 2018 |
Publisher | Hong Kong Academy of Medicine Press. The Journal's web site is located at http://www.hkmj.org/ |
Citation | Hong Kong Medical Journal, 2018, v. 24 n. 5, suppl. 6, p. 26-29 How to Cite? |
Abstract | 1. The validity and predictability of three epidemic models were evaluated: a hybrid-type homogeneous stochastic model, an age-structured variant of the previous model, and a power-law logistic model.
2. Reporting rates affect the interpretation of model parameters only but not the performance of parameter estimation or real-time epidemic forecasting.
3. Reliable and precise real-time epidemic forecasting is improbable during the early phase of an epidemic and unlikely to be robust until the epidemic has peaked, when using only epidemic curve data and any of the three models.
4. Robust real-time epidemic forecasting, if possible at all, requires other sources of epidemic data, such as seroprevalence, household transmission data, and phylogenetic data.
5. Epidemiologists and public health policymakers should be aware of these results when using models for real-time epidemic forecasting. |
Description | Research Fund for the Control of Infectious Diseases project number: 12111342 |
Persistent Identifier | http://hdl.handle.net/10722/266361 |
ISSN | 2021 Impact Factor: 1.256 2020 SCImago Journal Rankings: 0.357 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wu, JTK | - |
dc.contributor.author | Cowling, BJ | - |
dc.date.accessioned | 2019-01-18T08:18:01Z | - |
dc.date.available | 2019-01-18T08:18:01Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Hong Kong Medical Journal, 2018, v. 24 n. 5, suppl. 6, p. 26-29 | - |
dc.identifier.issn | 1024-2708 | - |
dc.identifier.uri | http://hdl.handle.net/10722/266361 | - |
dc.description | Research Fund for the Control of Infectious Diseases project number: 12111342 | - |
dc.description.abstract | 1. The validity and predictability of three epidemic models were evaluated: a hybrid-type homogeneous stochastic model, an age-structured variant of the previous model, and a power-law logistic model. 2. Reporting rates affect the interpretation of model parameters only but not the performance of parameter estimation or real-time epidemic forecasting. 3. Reliable and precise real-time epidemic forecasting is improbable during the early phase of an epidemic and unlikely to be robust until the epidemic has peaked, when using only epidemic curve data and any of the three models. 4. Robust real-time epidemic forecasting, if possible at all, requires other sources of epidemic data, such as seroprevalence, household transmission data, and phylogenetic data. 5. Epidemiologists and public health policymakers should be aware of these results when using models for real-time epidemic forecasting. | - |
dc.language | eng | - |
dc.publisher | Hong Kong Academy of Medicine Press. The Journal's web site is located at http://www.hkmj.org/ | - |
dc.relation.ispartof | Hong Kong Medical Journal | - |
dc.relation.ispartof | 香港醫學雜誌 | - |
dc.rights | Hong Kong Medical Journal. Copyright © Hong Kong Academy of Medicine Press. | - |
dc.title | Real-time forecasting of infectious disease epidemics | - |
dc.type | Article | - |
dc.identifier.email | Wu, JTK: joewu@hku.hk | - |
dc.identifier.email | Cowling, BJ: bcowling@hku.hk | - |
dc.identifier.authority | Wu, JTK=rp00517 | - |
dc.identifier.authority | Cowling, BJ=rp01326 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.pmid | 30229733 | - |
dc.identifier.scopus | eid_2-s2.0-85061264151 | - |
dc.identifier.hkuros | 296574 | - |
dc.identifier.hkuros | 309572 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 5, suppl. 6 | - |
dc.identifier.spage | 26 | - |
dc.identifier.epage | 29 | - |
dc.identifier.isi | WOS:000688273700008 | - |
dc.publisher.place | Hong Kong | - |
dc.identifier.issnl | 1024-2708 | - |