Epidemic Models of Contact Tracing: Systematic Review of Transmission Studies of Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome
Identifieur interne : 000B47 ( Main/Exploration ); précédent : 000B46; suivant : 000B48Epidemic Models of Contact Tracing: Systematic Review of Transmission Studies of Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome
Auteurs : Kin On Kwok [République populaire de Chine] ; Arthur Tang [Corée du Sud] ; Vivian W. I. Wei [République populaire de Chine] ; Woo Hyun Park [Corée du Sud] ; Eng Kiong Yeoh [République populaire de Chine] ; Steven Riley [Royaume-Uni]Source :
- Computational and Structural Biotechnology Journal [ 2001-0370 ] ; 2019.
Abstract
The emergence and reemergence of coronavirus epidemics sparked renewed concerns from global epidemiology researchers and public health administrators. Mathematical models that represented how contact tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.
Url:
DOI: 10.1016/j.csbj.2019.01.003
PubMed: 30809323
PubMed Central: 6376160
Affiliations:
- Corée du Sud, Royaume-Uni, République populaire de Chine
- Guangdong
- Sha Tin, Shenzhen
- Université chinoise de Hong Kong
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Le document en format XML
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Mathematical models that represented how contact tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Who" uniqKey="Who">WHO</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Who" uniqKey="Who">WHO</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chowell, G" uniqKey="Chowell G">G. Chowell</name></author><author><name sortKey="Abdirizak, F" uniqKey="Abdirizak F">F. Abdirizak</name></author><author><name sortKey="Lee, S" uniqKey="Lee S">S. Lee</name></author><author><name sortKey="Lee, J" uniqKey="Lee J">J. Lee</name></author><author><name sortKey="Jung, E" uniqKey="Jung E">E. 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Tam</name></author><author><name sortKey="Chan, A T" uniqKey="Chan A">A.T. Chan</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Corée du Sud</li><li>Royaume-Uni</li><li>République populaire de Chine</li></country><region><li>Guangdong</li></region><settlement><li>Sha Tin</li><li>Shenzhen</li></settlement><orgName><li>Université chinoise de Hong Kong</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Kwok, Kin On" sort="Kwok, Kin On" uniqKey="Kwok K" first="Kin On" last="Kwok">Kin On Kwok</name></noRegion><name sortKey="Kwok, Kin On" sort="Kwok, Kin On" uniqKey="Kwok K" first="Kin On" last="Kwok">Kin On Kwok</name><name sortKey="Kwok, Kin On" sort="Kwok, Kin On" uniqKey="Kwok K" first="Kin On" last="Kwok">Kin On Kwok</name><name sortKey="Wei, Vivian W I" sort="Wei, Vivian W I" uniqKey="Wei V" first="Vivian W. I." last="Wei">Vivian W. I. Wei</name><name sortKey="Yeoh, Eng Kiong" sort="Yeoh, Eng Kiong" uniqKey="Yeoh E" first="Eng Kiong" last="Yeoh">Eng Kiong Yeoh</name></country><country name="Corée du Sud"><noRegion><name sortKey="Tang, Arthur" sort="Tang, Arthur" uniqKey="Tang A" first="Arthur" last="Tang">Arthur Tang</name></noRegion><name sortKey="Park, Woo Hyun" sort="Park, Woo Hyun" uniqKey="Park W" first="Woo Hyun" last="Park">Woo Hyun Park</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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