title: Research Methods in Healthcare Epidemiology and Antimicrobial Stewardship-Mathematical Modeling.
abstract: Mathematical modeling is a valuable methodology used to study healthcare epidemiology and antimicrobial stewardship, particularly when more traditional study approaches are infeasible, unethical, costly, or time consuming. We focus on 2 of the most common types of mathematical modeling, namely compartmental modeling and agent-based modeling, which provide important advantages-such as shorter developmental timelines and opportunities for extensive experimentation-over observational and experimental approaches. We summarize these advantages and disadvantages via specific examples and highlight recent advances in the methodology. A checklist is provided to serve as a guideline in the development of mathematical models in healthcare epidemiology and antimicrobial stewardship. Infect Control Hosp Epidemiol 2016;1-7.
authors: 1Department of Decision,Operations & Information Technologies,Robert H. Smith School of Business,University of Maryland,College Park,Maryland.
authors: Sean L
authors: SL
authors: Barnes
authors: 2Department of Health,Behavior and Society,Bloomberg School of Public Health,Johns Hopkins University,Baltimore,Maryland.
authors: Parastu
authors: P
authors: Kasaie
authors: 3Department of Medicine,Duke University School of Medicine,Durham,North Carolina.
authors: Deverick J
authors: DJ
authors: Anderson
authors: 4Department of Internal Medicine,University of Utah School of Medicine,Salt Lake City,Utah.
authors: Michael
authors: M
authors: Rubin
mesh_terms: D000073602:Antimicrobial Stewardship; D015982:Bias; D057189:Checklist; D003141:Communicable Diseases / Q000453:epidemiology*; D003428:Cross Infection / Q000453:epidemiology*; D004812:Epidemiologic Methods; D006302:Health Services Research / Q000379:methods; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D012107:Research Design