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Data for Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households
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Brand, Samuel, Munywoki, Patrick K., Walumbe, David, Keeling, Matthew James and Nokes, D. James (2019) Data for Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households. [Dataset]
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Official URL: https://doi.org/10.7910/DVN/AR9IBC
Abstract
Respiratory syncytial virus is the leading cause of lower respiratory tract infection among infants. RSV is a priority for vaccine development. In this study, we investigate the potential effectiveness of a two-vaccine strategy aimed at mothers-to-be, thereby boosting maternally acquired antibodies of infants, and their household cohabitants, further cocooning infants against infection. We use a dynamic RSV transmission model which captures transmission both within households and communities, adapted to the changing demographics and RSV seasonality of a low-income country. Model parameters were inferred from past RSV hospitalisations, and forecasts made over a 10-year horizon. We find that a 50% reduction in RSV hospitalisations is possible if the maternal vaccine effectiveness can achieve 75 days of additional protection for newborns combined with a 75% coverage of their birth household co-inhabitants (∼7.5% population coverage).
Item Type: | Dataset | ||||||
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Subjects: | Q Science > QM Human anatomy R Medicine > RA Public aspects of medicine R Medicine > RC Internal medicine R Medicine > RG Gynecology and obstetrics |
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Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School | ||||||
Type of Data: | Experimental data | ||||||
Library of Congress Subject Headings (LCSH): | Respiratory syncytial virus, Vaccines, Pregnancy -- Immunological aspects | ||||||
Publisher: | University of Warwick, Warwick Medical School | ||||||
Official Date: | 5 April 2019 | ||||||
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .jld | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | Data record consists of 3 data files in .jld format, and an accompanying readme file. |
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