Literature DB >> 17217552

Duration and distance of exposure are important predictors of transmission among community contacts of Ontario SARS cases.

E Rea1, J Laflèche, S Stalker, B K Guarda, H Shapiro, I Johnson, S J Bondy, R Upshur, M L Russell, M Eliasziw.   

Abstract

We report attack rates and contact-related predictors among community contacts of severe acute respiratory syndrome (SARS) cases from the 2003 Toronto-area outbreak. Community contact data was extracted from public health records for single, well-defined exposures to a SARS case. In total, 8662 community-acquired exposures resulted in 61 probable cases; a crude attack rate of 0.70% [95% confidence interval (CI) 0.54-0.90]. Persons aged 55-69 years were at higher risk of acquiring SARS (1.14%) than those either younger (0.60%) or older (0.70%). In multivariable analysis exposures for at least 30 min at a distance of <or=1 m increased the likelihood of becoming a SARS case 20.4-fold (95% CI 11.8-35.1). Risk related to duration of illness in the source case at time of exposure was greatest for illness duration of 7-10 days (rate ratio 3.4, 95% CI 1.9-6.1). Longer and closer proximity exposures incurred the highest rate of disease. Separate measures of time and distance from source cases should be added to minimum datasets for the assessment of interventions for SARS and other emerging diseases.

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Year:  2007        PMID: 17217552      PMCID: PMC2870656          DOI: 10.1017/S0950268806007771

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  20 in total

1.  Global surveillance for severe acute respiratory syndrome (SARS).

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2003-04-04

2.  Public health measures to control the spread of the severe acute respiratory syndrome during the outbreak in Toronto.

Authors:  Tomislav Svoboda; Bonnie Henry; Leslie Shulman; Erin Kennedy; Elizabeth Rea; Wil Ng; Tamara Wallington; Barbara Yaffe; Effie Gournis; Elisa Vicencio; Sheela Basrur; Richard H Glazier
Journal:  N Engl J Med       Date:  2004-06-03       Impact factor: 91.245

3.  Evaluation of control measures implemented in the severe acute respiratory syndrome outbreak in Beijing, 2003.

Authors:  Xinghuo Pang; Zonghan Zhu; Fujie Xu; Jiyong Guo; Xiaohong Gong; Donglei Liu; Zejun Liu; Daniel P Chin; Daniel R Feikin
Journal:  JAMA       Date:  2003-12-24       Impact factor: 56.272

4.  Efficiency of quarantine during an epidemic of severe acute respiratory syndrome--Beijing, China, 2003.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2003-10-31       Impact factor: 17.586

5.  Colonization of severe acute respiratory syndrome-associated coronavirus among health-care workers screened by nasopharyngeal swab.

Authors:  Hsin-Tsung Ho; Mau-Sun Chang; Tsai-Yin Wei; Wen-Shyang Hsieh; Chia-Chien Hung; Huei-Mei Yang; Yen-Ta Lu
Journal:  Chest       Date:  2006-01       Impact factor: 9.410

6.  Secondary household transmission of SARS, Singapore.

Authors:  Denise Li-Meng Goh; Bee Wah Lee; Kee Seng Chia; Bee Hoon Heng; Mark Chen; Stefan Ma; Chorh Chuan Tan
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

7.  Probable secondary infections in households of SARS patients in Hong Kong.

Authors:  Joseph T F Lau; Mason Lau; Jean H Kim; Hi-Yi Tsui; Thomas Tsang; Tze Wai Wong
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

8.  Healthcare worker seroconversion in SARS outbreak.

Authors:  Pierce K H Chow; Eng-Eong Ooi; Hiang-Khoon Tan; Kong-Wee Ong; Bijon Kumar Sil; Melissa Teo; Timothy Ng; Khee-Chee Soo
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

9.  Lack of SARS transmission among public hospital workers, Vietnam.

Authors:  Dang Ha Le; Sharon A Bloom; Quang Hien Nguyen; Susan A Maloney; Quynh Mai Le; Katrin C Leitmeyer; Huy Anh Bach; Mary G Reynolds; Joel M Montgomery; James A Comer; Peter W Horby; Aileen J Plant
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

10.  Cluster of SARS among medical students exposed to single patient, Hong Kong.

Authors:  Tze-wai Wong; Chin-kei Lee; Wilson Tam; Joseph Tak-fai Lau; Tak-sun Yu; Siu-fai Lui; Paul K S Chan; Yuguo Li; Joseph S Bresee; Joseph J Y Sung; Umesh D Parashar
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

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  14 in total

Review 1.  Close encounters of the infectious kind: methods to measure social mixing behaviour.

Authors:  J M Read; W J Edmunds; S Riley; J Lessler; D A T Cummings
Journal:  Epidemiol Infect       Date:  2012-06-12       Impact factor: 2.451

2.  How should social mixing be measured: comparing web-based survey and sensor-based methods.

Authors:  Timo Smieszek; Victoria C Barclay; Indulaxmi Seeni; Jeanette J Rainey; Hongjiang Gao; Amra Uzicanin; Marcel Salathé
Journal:  BMC Infect Dis       Date:  2014-03-10       Impact factor: 3.090

3.  Social mixing patterns in rural and urban areas of southern China.

Authors:  Jonathan M Read; Justin Lessler; Steven Riley; Shuying Wang; Li Jiu Tan; Kin On Kwok; Yi Guan; Chao Qiang Jiang; Derek A T Cummings
Journal:  Proc Biol Sci       Date:  2014-04-30       Impact factor: 5.349

4.  Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases.

Authors:  Thiripura Vino; Gurmeet R Singh; Belinda Davison; Patricia T Campbell; Michael J Lydeamore; Andrew Robinson; Jodie McVernon; Steven Y C Tong; Nicholas Geard
Journal:  PeerJ       Date:  2017-10-26       Impact factor: 2.984

5.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis.

Authors:  Derek K Chu; Elie A Akl; Stephanie Duda; Karla Solo; Sally Yaacoub; Holger J Schünemann
Journal:  Lancet       Date:  2020-06-01       Impact factor: 79.321

6.  Quantifying the impact of community quarantine on SARS transmission in Ontario: estimation of secondary case count difference and number needed to quarantine.

Authors:  Susan J Bondy; Margaret L Russell; Julie Ml Laflèche; Elizabeth Rea
Journal:  BMC Public Health       Date:  2009-12-24       Impact factor: 3.295

7.  A low-cost method to assess the epidemiological importance of individuals in controlling infectious disease outbreaks.

Authors:  Timo Smieszek; Marcel Salathé
Journal:  BMC Med       Date:  2013-02-12       Impact factor: 8.775

8.  A mechanistic model of infection: why duration and intensity of contacts should be included in models of disease spread.

Authors:  Timo Smieszek
Journal:  Theor Biol Med Model       Date:  2009-11-17       Impact factor: 2.432

9.  Tracking social contact networks with online respondent-driven detection: who recruits whom?

Authors:  Mart L Stein; Peter G M van der Heijden; Vincent Buskens; Jim E van Steenbergen; Linus Bengtsson; Carl E Koppeschaar; Anna Thorson; Mirjam E E Kretzschmar
Journal:  BMC Infect Dis       Date:  2015-11-14       Impact factor: 3.090

10.  Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.

Authors:  Timo Smieszek; Stefanie Castell; Alain Barrat; Ciro Cattuto; Peter J White; Gérard Krause
Journal:  BMC Infect Dis       Date:  2016-07-22       Impact factor: 3.090

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