Modelling the spread of infections in a first-world child care facility: coding, analysis and policy implications
Modelling the spread of infections in a first-world child care facility: coding, analysis and policy implications
批准号:
538719-2019
负责人:
Cojocaru, Monica
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
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英文摘要
Sanofi Pasteur in Canada, the vaccines division of Sanofi, is one of the world's leading healthcare companies,and the country's largest vaccine company with a strong commitment to public health. They provide importantvaccines to Canadians for the prevention and treatment of infectious diseases, common illnesses and cancers.Canada Sanofi Pasteur is interested in a mathematical model of a day care center in a 1st world country (suchas Canada), in order to use it as scenario testing for infection prevention behaviour and prophylactic treatments.They are specifically interested in a model where individuals in the population are kids, staff and parents, andwhere their interactions are modeled explicitly: person-to-person and person-to-environment, during typicaloutbreak episodes roughly of 4-5 months duration. They want to further use the model's output forsocio-economic impact analyses arising from lowering infectiousness in day care centers.In response to the company's interest, we propose the development of a small-population agent-based model ofa day care facility for the purpose of testing and informing prevention policies against viral infections (enteric,influenza, etc.) that can be implemented in a child care setting. The research is not only useful in applications today care environments; it represents a novel approach in basic mathematical modelling of infectiontransmission in small, semi-closed populations. This type of mathematical model differs greatly from similarcompartmental, game theoretic or agent-based epidemiological models, since it refers to a very small population, with different thanaverage contact patterns, and with the possibility of being evolved on a time scale resolution of minutes, versushours or days at a time.
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