Replication Data for: Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households (doi:10.7910/DVN/AR9IBC)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication Data for: Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households

doi:10.7910/DVN/AR9IBC

Harvard Dataverse

2019-04-08

1

Brand, Samuel P.C.; Munywoki, Patrick K.; Walumbe, David; Keeling, Matt J.; Nokes, D. james, 2019, "Replication Data for: Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households", https://doi.org/10.7910/DVN/AR9IBC, Harvard Dataverse, V1

Replication Data for: Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households

doi:10.7910/DVN/AR9IBC

Brand, Samuel P.C. (University of Warwick)

Munywoki, Patrick K. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Walumbe, David (Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Keeling, Matt J. (University of Warwick)

Nokes, D. james (University of Warwick; Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Harvard Dataverse

Brand, Samuel P.C.

Brand, Samuel P.C.

2019-04-05

https://doi.org/10.7910/DVN/AR9IBC

Medicine, Health and Life Sciences

<p>These dataset(s) contain RSV hospitalization data, individual type distributions, and household type distributions. We developed a mathematical model for simulating RSV transmission amongst households in Kilifi county. The model was parameterized using anonymised datasets generated from the Kilifi Demographic and Health surveillance system (KDHSS), and, daily reports of confirmed RSV hospitalisations at Kilifi county hospital (KCH). The datasets derived from the underlying KDHSS dataset were generated by filtering for people alive and living in Kilifi county on the 1st Jan 2000, 2001, … , 2017. Each person was described by an age category, the number of members of her household, and whether the household contained an under-one year old. Each household was described by the number of over-one year olds and under-one year olds. These data sets, and metadata such as the start and end times of each age category were stored as vectors of arrays in .jld format. </p>

Publications based on this data collection should acknowledge this source by means of bibliographic citation. To ensure that such source attributions are captured for bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: "Brand, Samuel P.C.; Munywoki, Patrick K.; Walumbe, David; Keeling, Matt J.; Nokes, D. james, 2019, Replication Data for: Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households, https://doi.org/10.7910/DVN/AR9IBC, Harvard Dataverse, V1"

This data is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/legalcode. Publications based on these data should acknowledge this source by means of bibliographic citations. For more information on these data, please contact the author via Samuel Brand [S.Brand@warwick.ac.uk], or the data governance office via this email address: dgc@kemri-wellcome.org

Brand, S.P., Munywoki, P., Walumbe, D., Keeling, M.J. and Nokes, D.J., 2019. Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households. bioRxiv, p.569335.

10.1101/569335

Brand, S.P., Munywoki, P., Walumbe, D., Keeling, M.J. and Nokes, D.J., 2019. Reducing RSV hospitalisation in a lower-income country by vaccinating mothers-to-be and their households. bioRxiv, p.569335.

Label:

daily_RSV_hosp.jld

Text:

Unpacks data and meta-data: Primary data: daily_RSV_hosps_by_age_cat vector of the daily RSV hospitalisations (6209 days) by each age category (30 age categories)

application/octet-stream

Label:

RSV transmission model data README.txt

Text:

Contains project and data description, variable/metadata description, terms of access, methods and processing information

text/plain

Label:

yearly_household_distribution.jld

Text:

Unpacks data and meta-data: Primary data: yearly_household_distribution vector of household size matrices at each of 18 sample dates; the (i,j) component gives the number of households with ith number of U1s, and jth number of O1s in household.

application/octet-stream

Label:

yearly_joint_distribution_of_people.jld

Text:

Unpacks data and meta-data: Primary data: people_distribution vector of population tensors at each of the 18 sample dates; the (i,j,k) component gives number of individuals in ith age category, jth household size and kth under-one household occupancy, RSV hospitalisations (6209 days) by each age category (30 age categories).

application/octet-stream