Estimating the relative probability of direct transmission between infectious disease patients | Zendy

Sarah V. Leavitt | Zendy; Robyn S. Lee | Zendy; Paola Sebastiani | Zendy; C. Robert Horsburgh | Zendy; Helen E. Jenkins | Zendy; Laura F. White | Zendy

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Estimating the relative probability of direct transmission between infectious disease patients

Author(s) -

Sarah V. Leavitt,

Robyn S. Lee,

Paola Sebastiani,

C. Robert Horsburgh,

Helen E. Jenkins,

Laura F. White

Publication year - 2020

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyaa031

Subject(s) - medicine , infectious disease (medical specialty) , disease transmission , transmission (telecommunications) , statistics , mathematics , disease , virology , computer science , telecommunications

Estimating infectious disease parameters such as the serial interval (time between symptom onset in primary and secondary cases) and reproductive number (average number of secondary cases produced by a primary case) are important in understanding infectious disease dynamics. Many estimation methods require linking cases by direct transmission, a difficult task for most diseases.

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