Liao, C. M.C. M.LiaoCHEN, S. C.S. C.CHENCHUNG-MIN LIAO2010-01-062018-06-292010-01-062018-06-292007http://ntur.lib.ntu.edu.tw//handle/246246/176032One of the most pressing issues in facing emerging and re-emerging respiratory infections is how to bring them under control with current public health measures. Approaches such as the Wells-Riley equation, competing-risks model, and Von Foerster equation are used to prioritize control-measure efforts. Here we formulate how to integrate those three different types of functional relationship to construct easy-to-use and easy-to-interpret critical-control lines that help determine optimally the intervention strategies for containing airborne infections. We show that a combination of assigned effective public health interventions and enhanced engineering control measures would have a high probability for containing airborne infection. We suggest that integrated analysis to enhance modelling the impact of potential control measures against airborne infections presents an opportunity to assess risks and benefits. We demonstrate the approach with examples of optimal control measures to prioritize respiratory infections of severe acute respiratory syndrome (SARS), influenza, measles, and chickenpox. ? 2007 Cambridge University Press.application/pdf1106531 bytesapplication/pdfen-US[SDGs]SDG3airborne infection; article; chickenpox; control strategy; epidemic; infection control; infection prevention; infection risk; influenza; intervention study; mathematical model; measles; process optimization; public health; quantitative analysis; respiratory tract infection; risk assessment; risk benefit analysis; sensitivity analysis; severe acute respiratory syndrome; simulation; Chickenpox; Communicable Disease Control; Humans; Influenza, Human; Measles; Models, Statistical; Respiratory Tract Infections; Severe Acute Respiratory Syndromejournal article10.1017/S0950268807008631http://ntur.lib.ntu.edu.tw/bitstream/246246/176032/1/81.pdf