<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Population contact rates by age and county</titl><IDNo agency="DOI">doi:10.18130/V3/OMEPOT</IDNo></titlStmt><distStmt><distrbtr source="archive">University of Virginia Dataverse</distrbtr><distDate>2020-03-22</distDate></distStmt><verStmt source="archive"><version date="2020-04-24" type="RELEASED">4</version></verStmt><biblCit>Network Systems Science and Advanced Computing Division, 2020, "Population contact rates by age and county", https://doi.org/10.18130/V3/OMEPOT, University of Virginia Dataverse, V4</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Population contact rates by age and county</titl><IDNo agency="DOI">doi:10.18130/V3/OMEPOT</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Virginia">Network Systems Science and Advanced Computing Division</AuthEnty></rspStmt><prodStmt><prodDate>2020-03-21</prodDate><grantNo agency="DTRA / ARA">S-D00189-15-TO-01-UVA</grantNo><grantNo agency="NIH">1R01GM109718</grantNo><grantNo agency="CDC">75D30119C05935</grantNo><grantNo agency="NSF">IIS-1633028</grantNo><grantNo agency="NSF">ACI-1443054</grantNo><grantNo agency="NSF">OAC-1916805</grantNo><grantNo agency="UVA Global Infectious Disease Institute">OAC-1916805</grantNo></prodStmt><distStmt><distrbtr source="archive">University of Virginia Dataverse</distrbtr><contact affiliation="University of Virginia">Eubank, Stephen</contact><depositr>Eubank, Stephen</depositr><depDate>2020-03-22</depDate></distStmt><holdings URI="https://doi.org/10.18130/V3/OMEPOT"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword xml:lang="en">Social Sciences</keyword><keyword>contact network</keyword><keyword>mixing matrix</keyword></subject><abstract>The number and duration of contacts between people in a synthetic population of the United States, stratified by CDC age groups and county of residence for each of the contacts.</abstract><sumDscr/><notes>This version includes several counties that were inadvertently missing from the previous version. It also improves the contact structure for people in large locations. The contacts analyzed here are derived from a synthetic population of the U.S. in which each person is assigned an activity template based on American Community survey data and locations for each activity are assigned based on location types, sizes, and distance from residence or catchment region. Contacts are inferred between people present at a location simultaneously. For locations with many occupants, a subgraph is constructed that interpolates between a minimum and maximum number of contacts, depending on the total number of occupants.&#xd;
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Activities are assigned differently for weekdays and weekends. Hence the contact networks also differ. In addition, we analyzed an activity-independent network the includes only household contacts.&#xd;
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See the README file for more information on directory and file structure and parameter values. For more information on the research behind the synthetic population, see https://biocomplexity.virginia.edu/nssac&#xd;
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This revision fixes corrupted files for the weekend mixing rates for all counties in the states of California, Delaware, Maryland, Michigan, Minnesota, Montana, New_Jersey, New_Mexico, New_York, Ohio, Pennsylvania, Texas, and Washington. &#xd;
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Note that there are three sparsely-populated counties with no mixing between some age groups. &#xd;
County, Hawaii, FIPS code 15005&#xd;
Golden Valley County, Montana, FIPS code 30037&#xd;
Loving County, Texas, FIPS code 48301&#xd;
This may be an artifact of our contact network synthesis process, but it does not seem to be a bug</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Beckman, R.J., Baggerly, K.A. and McKay, M.D., 1996. Creating synthetic baseline populations. Transportation Research Part A: Policy and Practice, 30(6), pp.415-429.</titl></titlStmt><biblCit>Beckman, R.J., Baggerly, K.A. and McKay, M.D., 1996. Creating synthetic baseline populations. Transportation Research Part A: Policy and Practice, 30(6), pp.415-429.</biblCit></citation></relPubl><relPubl><citation><titlStmt><titl>Eubank, S., Guclu, H., Kumar, V.A., Marathe, M.V., Srinivasan, A., Toroczkai, Z. and Wang, N., 2004. Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988), pp.180-184.</titl></titlStmt><biblCit>Eubank, S., Guclu, H., Kumar, V.A., Marathe, M.V., Srinivasan, A., Toroczkai, Z. and Wang, N., 2004. Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988), pp.180-184.</biblCit></citation></relPubl></othrStdyMat></stdyDscr><otherMat ID="f24096" URI="https://dataverse.lib.virginia.edu/api/access/datafile/24096" level="datafile"><labl>contacts-by-age.tar.gz</labl><txt>Includes some missing California data. Fixed file names for FIPS codes that start with '0'.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-gzip</notes></otherMat></codeBook>