TY - JOUR
AU - 
AB - RESEARCH Model Parameters and Outbreak Control for SARS Gerardo Chowell,*† Carlos Castillo-Chavez,‡1 Paul W. Fenimore,* Christopher M. Kribs-Zaleta,§ Leon Arriola,* and James M. Hyman* Control of the 2002–2003 severe acute respiratory Taiwan, 94% of SARS cases occurred through transmis- syndrome (SARS) outbreak was based on rapid diagnosis sion in hospital wards (6), and similar effects occurred in coupled with effective patient isolation. We used uncertain- Hong Kong and Singapore (7). Although the SARS epi- ty and sensitivity analysis of the basic reproductive number demic was eventually controlled, the measures used to R to assess the role that model parameters play in out- achieve that control varied greatly in scope from one place break control. The transmission rate and isolation effective- to another. Control of an outbreak relies partly on identify- ness have the largest fractional effect on R . We estimated ing what disease parameters are likely to lead to a reduc- the distribution of the reproductive number R under perfect tion in the reproduction number R . Here we calculate the isolation conditions. The distribution lies in the interquartile dependence of R on model parameters. range 0.19–1.08, with a median of 0.49. Even though the 0 median of 
TI - Model Parameters and Outbreak Control for SARS
JF - Emerging Infectious Diseases
DO - 10.3201/eid1007.030647
DA - 2004-07-01
UR - https://www.deepdyve.com/lp/unpaywall/model-parameters-and-outbreak-control-for-sars-fYmuwcnqz0
DP - DeepDyve
ER -