MODELING THE SPREAD OF COMMUNITY-ASSOCIATED MRSA

被引：0

作者：

Macal, Charles M. ^{[1
,2
]}

North, Michael J. ^{[1
,2
]}

Collier, Nicholson ^{[1
,2
]}

Lauderdale, Diane S. ^{[2
]}

David, Michael Z. ^{[2
]}

Daum, Robert S. ^{[2
]}

Shumm, Philip ^{[2
]}

Evans, James A. ^{[2
]}

Wilder, Jocelyn R. ^{[2
]}

Dukic, Vanja M. ^{[3
]}

Wegener, Duane T. ^{[4
]}

机构：

[1] Argonne Natl Lab, 9700 S Cass Ave, Argonne, IL 60439 USA

[2] Univ Chicago, Chicago, IL 60637 USA

[3] Univ Colorado, Boulder, CO 80309 USA

[4] Ohio State Univ, Columbus, OH 43210 USA

来源：

2012 WINTER SIMULATION CONFERENCE (WSC) | 2012年

关键词：

RESISTANT STAPHYLOCOCCUS-AUREUS; INTENSIVE-CARE-UNIT; PANDEMIC INFLUENZA; TRANSMISSION; SIMULATION; DYNAMICS; COLONIZATION; HOSPITALS; DISEASE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) are strains of the bacterium S. aureus that are responsible for skin and soft tissue, blood, bone, and other infections that can be life threatening. CA-MRSA strains are resistant to standard antibiotics related to penicillins and have a high prevalence in the general community, as well as in healthcare facilities. CA-MRSA presents novel challenges for computational epidemiological modeling compared to other commonly modeled diseases. CA-MRSA challenges include modeling activities and contact processes of individuals in which direct skin contact can be an important infection pathway, estimating disease transmission parameters based on limited data, and representing behavioral responses of individuals to the disease and healthcare interventions. We are developing a fine-grained agent-based model of CA-MRSA for the Chicago metropolitan area. This paper describes how we are modeling CA-MRSA disease processes based on variants of standard epidemiological models and individual agent-based approaches.

引用

页数：12

共 50 条

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[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2022, 119 (45)

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