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48 results for “Social contact data”

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zenodo36/100

Social contact data for Zimbabwe

<p>Social contact data for Zimbabwe. In this study, participants reported all the contacts that they had and where they<br> spent their time during two consecutive, randomly assigned, days.</p>

opencc-by-nc-nd-4.0Jun 2020View details →
zenodo36/100

Russian social contact data relative to reactive school closure policies

<p>The dataset consists of individual contact diaries collected in Tomsk, Russia, in 2016. The dataset contains contact information for&nbsp;both for regular school/work days and for days when classes/schools are closed as a consequence of a reactive school closure strategy.<br> <br> This record consists of the dataset associated with M. Litvinova, Q.-H. Liu, E. S. Kulikov, M. Ajelli, Reactive school closure weakens the network of social interactions and reduces the spread of influenza. PNAS,&nbsp;116(27):13174-13181, 2019.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

Social contact data for the BHDSS and FWHDSS in the Gambia (2022)

<p>Social contact data for people in the <span>Basse and Fuladu West Health and Demographic Surveillance Systems</span> (BHDSS and FWDHSS) in the Gambia. Participants reported all their direct contacts in the 24 hours preceding the survey. This survey was conducted in 2022.&nbsp;Data is formatted to be used in the&nbsp;<em>socialmixr</em>&nbsp;package in&nbsp;<em>R</em>.</p> <p>Note, for a subset of school-going participants, school contacts were observed in the classroom for a two hour period. The list of participants needs to be filtered accordingly to ensure the correct denominators are applied when calculating contact rates.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

CoMix social contact data (Croatia)

<p>CoMix social contact data for Croatia.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Goranka Petrović at the Croatian Institute of Public Health (CIPH).</p>

opencc-by-4.0May 2022View details →
zenodo36/100

CoMix 2.0 social contact data

<p>CoMix social contact data collected in:<br> - Austria (at)<br> - Belgium (be)<br> - Denmark (dk)<br> - Croatia (hr)<br> - Estonia (ee)<br> - Greece (gr)<br> - Italy (it)<br> - Poland (pl)<br> - Portugal (pt)<br> Format follows the http://www.socialcontactdata.org/ guidelines.</p> <p>Questionnaire available on <a href="https://www.ecdc.europa.eu/en/publications-data/social-contact-patterns-eueea-during-covid-19-pandemic">ECDC website.</a><br> We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: in <strong>Austria</strong>: the team of Andrea Schmidt at the Austrian National Public Health Institute, in <strong>Croatia</strong>: the team of Goranka Petrović at the Croatian Institute of Public Health (CIPH), in <strong>Denmark</strong>: the team of Michael Bang Petersen at Aarhus University, in <strong>Estonia</strong>: the team of Sigrid Vorobjov at the National Institute for Health Development, in <strong>Greece</strong>: the team of Elpida Pavi at the University of West Attica (UniWA),in <strong>Poland</strong>: the team of Magdalena Rosinska at the National Institute of Public Health - National Institute of Hygiene, in <strong>Portugal</strong>: the team of Baltazar Nunes at the National Health Institute Doutor Ricardo Jorge (INSA), in <strong>Italy</strong>: the team of Daniela Paolotti at the ISI Foundation.<br> <br> For problems with the dataset, please contact:<br> <br> socialcontactdata@gmail.com<br> <br> Changelog for V2:<br> - Added &quot;country&quot; column in &quot;participant_extra&quot; files to allow easier sub-setting by country.<br> <br> Changelog for V3:<br> - Merged files from different countries in one file.</p>

opencc-by-4.0Aug 2022View details →
dryad36/100

Data from: Impact of hunting modality on social contacts in wild boar populations across Europe

Open the record for dataset details and reuse information.

publicNov 2025View details →
zenodo32/100

POLYMOD social contact data

<p>This is the POLYMOD study data.</p>

opencc-by-nc-4.0Nov 2017View details →
zenodo32/100

Social contact data for France

<p>Social contact data for France, with a total of 1755 participants of which&nbsp;the same participants can be present in 2 waves (&asymp;13%). In each wave, participants reported contacts in two consecutive days.</p>

opencc-by-nc-nd-4.0Jun 2020View details →
zenodo32/100

CoMix social contact data (Slovenia)

<p>CoMix social contact data for Slovenia.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: &nbsp;the team of Petra Klepac at the National Institute of Public Health.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

CoMix social contact data (Spain)

<p>CoMix social contact data for Spain.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Cristina Vilaplana at the Institute for Health Science Research Germans Trias i Pujol (IGTP) that acknowledges support from the SMA-TB Project from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 847762.</p>

opencc-by-4.0Jun 2021View details →
dryad32/100

Data from: Seasonal variation in daily patterns of social contacts in the European badger Meles meles

Social interactions among hosts influence the persistence and spread of infectious pathogens. Daily and seasonal variation in the frequency and type of social interactions will play an important role in disease epidemiology and, alongside other factors, may have an influence on wider disease dynamics by causing seasonal forcing of infection, especially if the seasonal variation experienced by a population is considerable. We explored temporal variation in within-group contacts in a high-density population of European badgers Meles meles naturally infected with Mycobacterium bovis (the causative agent of bovine tuberculosis). Summer contacts were more likely and of longer duration during the daytime, while the frequency and duration of winter contacts did not differ between day and night. In spring and autumn, within-group contacts peaked at dawn and dusk, corresponding with when they were of shortest duration with reduced potential for aerosol transmission of pathogens. Summer and winter could be critical for transmission of M. bovis in badgers, due to the high frequency and duration of contacts during resting periods, and we discuss the links between this result and empirical disease data. This study reveals clear seasonality in daily patterns of contact frequency and duration in species living in stable social groups, suggesting that changes in social contacts could drive seasonal forcing of infection in wildlife populations even when the number of individuals interacting remains similar.

opencc-zeroDec 2016View details →
zenodo32/100

Social contact data for the Netherlands

<p>Social contact data for the Netherlands.</p>

opencc-by-4.0Jul 2021View details →
dryad32/100

Data from: Seasonal variation in daily patterns of social contacts in the European badger Meles meles

Open the record for dataset details and reuse information.

publicAug 2018View details →
zenodo28/100

Social contact data for Peru

<p>This is the social contact data for Peru.</p>

opencc-by-nc-nd-4.0Jun 2020View details →
zenodo28/100

Social contact data for Zambia and South Africa (CODA dataset)

<p>Zambia and South African dataset (CODA)</p>

opencc-by-4.0Jan 2019View details →
zenodo28/100

Social contact data for Russia

<p>Social contact data for Russia. Dataset prepared by Thang Hoang (University of Hasselt); original dataset available at <a href="https://zenodo.org/record/2992179#.XYIZfPdS9hE">this link. </a></p>

opencc-by-4.0Sep 2019View details →
zenodo28/100

Social contact data for Thailand

<p>Social contact data of&nbsp;migrant workers in urban settings in Thailand</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Social contact data for Belgium (2010-2011)

<p>Social contact data for Belgium in 2010-2011</p>

opencc-by-4.0Sep 2020View details →
zenodo28/100

CoMix social contact data (Estonia)

<p>CoMix social contact data for Estonia.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Sigrid Vorobjov at the National Institute for Health Development.</p>

opencc-by-4.0May 2022View details →
dryad28/100

Data from: Social contact patterns can buffer costs of forgetting in the evolution of cooperation

Analyses of the evolution of cooperation often rely on two simplifying assumptions: (i) individuals interact equally frequently with all social network members and (ii) they accurately remember each partner's past cooperation or defection. Here, we examine how more realistic, skewed patterns of contact---in which individuals interact primarily with only a subset of their network's members---influence cooperation. In addition, we test whether skewed contact patterns can counteract the decrease in cooperation caused by memory errors (i.e., forgetting). Finally, we compare two types of memory error that vary in whether forgotten interactions are replaced with random actions or with actions from previous encounters. We use evolutionary simulations of repeated prisoner's dilemma games that vary agents' contact patterns, forgetting rates, and types of memory error. We find that highly skewed contact patterns foster cooperation and also buffer the detrimental effects of forgetting. The type of memory error used also influences cooperation rates. Our findings reveal previously neglected but important roles of contact patterns, type of memory error, and the interaction of contact pattern and memory on cooperation. Although cognitive limitations may constrain the evolution of cooperation, social contact patterns can counteract some of these constraints.

opencc-zeroDec 2017View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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Last verified 2026-04-29Open record