%0 Journal Article %1 Mubayi2010687 %A Mubayi, A. %A Zaleta, C.K. %A Martcheva, M. %A Castillo-ChÃ!'vez, C. %D 2010 %J Mathematical Biosciences and Engineering %K Acute Analysis; Cost-Benefit Disease Economic; Health; Humans; Models, Outbreaks; Public Quarantine; Respiratory SARS Severe Syndrome Virus; acute analysis; and article; benefit comparative control; coronavirus; cost economics; epidemic; health; human; infection isolation model, public purification; respiratory severe statistical study; syndrome; %N 3 %P 687-717 %R http://dx.doi.org/10.3934/mbe.2010.7.687 %T A cost-based comparison of quarantine strategies for new emerging diseases %U http://dx.doi.org/10.3934/mbe.2010.7.687 %V 7 %X A classical epidemiological framework is used to provide a preliminary cost analysis of the effects of quarantine and isolation on the dynamics of infectious diseases for which no treatment or immediate diagnosis tools are available. Within this framework we consider the cost incurred from the implementation of three types of dynamic control strategies. Taking the context of the 2003 SARS outbreak in Hong Kong as an example, we use a simple cost function to compare the total cost of each mixed (quarantine and isolation) control strategy from a public health resource allocation perspective. The goal is to extend existing epi-economics methodology by developing a theoretical framework of dynamic quarantine strategies aimed at emerging diseases, by drawing upon the large body of literature on the dynamics of infectious diseases. We find that the total cost decreases with increases in the quarantine rates past a critical value, regardless of the resource allocation strategy. In the case of a manageable outbreak resources must be used early to achieve the best results whereas in case of an unmanageable outbreak, a constant-effort strategy seems the best among our limited plausible sets.

@article{Mubayi2010687, abstract = {A classical epidemiological framework is used to provide a preliminary cost analysis of the effects of quarantine and isolation on the dynamics of infectious diseases for which no treatment or immediate diagnosis tools are available. Within this framework we consider the cost incurred from the implementation of three types of dynamic control strategies. Taking the context of the 2003 SARS outbreak in Hong Kong as an example, we use a simple cost function to compare the total cost of each mixed (quarantine and isolation) control strategy from a public health resource allocation perspective. The goal is to extend existing epi-economics methodology by developing a theoretical framework of dynamic quarantine strategies aimed at emerging diseases, by drawing upon the large body of literature on the dynamics of infectious diseases. We find that the total cost decreases with increases in the quarantine rates past a critical value, regardless of the resource allocation strategy. In the case of a manageable outbreak resources must be used early to achieve the best results whereas in case of an unmanageable outbreak, a constant-effort strategy seems the best among our limited plausible sets.}, added-at = {2017-11-10T22:48:29.000+0100}, affiliation = {Mathematical Computational and Modeling Science Center, Arizona State University, Tempe, AZ 85287-1904, United States; Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019-0408, United States; Department of Mathematics, University of Florida, Gainesville, FL 32611-8105, United States; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287-2402, United States; Santa Fe Institute, Santa Fe, NM 87501, United States; Prevention Research Center, Berkeley, CA 94704, United States}, author = {Mubayi, A. and Zaleta, C.K. and Martcheva, M. and Castillo-Ch{\~A}{!'}vez, C.}, author_keywords = {Contact tracing; Cost-effectiveness analysis; Isolation; Quarantine; Reproductive number; SARS}, biburl = {https://www.bibsonomy.org/bibtex/24206963303e8cd5c0dd3bfdf161a2e7d/ccchavez}, correspondence_address1 = {Mubayi, A.; Mathematical Computational and Modeling Science Center, Arizona State University, Tempe, AZ 85287-1904, United States; email: anujmubayi@yahoo.com}, date-added = {2017-11-10 21:45:26 +0000}, date-modified = {2017-11-10 21:45:26 +0000}, document_type = {Article}, doi = {http://dx.doi.org/10.3934/mbe.2010.7.687}, interhash = {90bb8cb49b0d6c4b1df9cb2186932c37}, intrahash = {4206963303e8cd5c0dd3bfdf161a2e7d}, issn = {15471063}, journal = {Mathematical Biosciences and Engineering}, keywords = {Acute Analysis; Cost-Benefit Disease Economic; Health; Humans; Models, Outbreaks; Public Quarantine; Respiratory SARS Severe Syndrome Virus; acute analysis; and article; benefit comparative control; coronavirus; cost economics; epidemic; health; human; infection isolation model, public purification; respiratory severe statistical study; syndrome;}, language = {English}, number = 3, pages = {687-717}, pubmed_id = {20578793}, timestamp = {2017-11-10T22:48:29.000+0100}, title = {A cost-based comparison of quarantine strategies for new emerging diseases}, url = {http://dx.doi.org/10.3934/mbe.2010.7.687}, volume = 7, year = 2010 }