<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Del-Aguila-Mejia J</submitter><funding>Instituto de Salud Carlos III</funding><pagination>4356</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10001675</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(5)</volume><pubmed_abstract>Human mobility drives the geographical diffusion of infectious diseases at different scales, but few studies focus on mobility itself. Using publicly available data from Spain, we define a Mobility Matrix that captures constant flows between provinces by using a distance-like measure of effective distance to build a network model with the 52 provinces and 135 relevant edges. Madrid, Valladolid and Araba/Álaba are the most relevant nodes in terms of degree and strength. The shortest routes (most likely path between two points) between all provinces are calculated. A total of 7 mobility communities were found with a modularity of 63%, and a relationship was established with a cumulative incidence of COVID-19 in 14 days (CI14) during the study period. In conclusion, mobility patterns in Spain</pubmed_abstract><journal>International journal of environmental research and public health</journal><pubmed_title>Epidemic Diffusion Network of Spain: A Mobility Model to Characterize the Transmission Routes of Disease.</pubmed_title><pmcid>PMC10001675</pmcid><funding_grant_id>COV20-00881</funding_grant_id><pubmed_authors>Garcia-Garcia D</pubmed_authors><pubmed_authors>Penuelas M</pubmed_authors><pubmed_authors>Rosillo N</pubmed_authors><pubmed_authors>Rojas-Benedicto A</pubmed_authors><pubmed_authors>Guerrero-Vadillo M</pubmed_authors><pubmed_authors>Donado-Campos JM</pubmed_authors><pubmed_authors>Del-Aguila-Mejia J</pubmed_authors><pubmed_authors>Ramis R</pubmed_authors><pubmed_authors>Gomez-Barroso D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Epidemic Diffusion Network of Spain: A Mobility Model to Characterize the Transmission Routes of Disease.</name><description>Human mobility drives the geographical diffusion of infectious diseases at different scales, but few studies focus on mobility itself. Using publicly available data from Spain, we define a Mobility Matrix that captures constant flows between provinces by using a distance-like measure of effective distance to build a network model with the 52 provinces and 135 relevant edges. Madrid, Valladolid and Araba/Álaba are the most relevant nodes in terms of degree and strength. The shortest routes (most likely path between two points) between all provinces are calculated. A total of 7 mobility communities were found with a modularity of 63%, and a relationship was established with a cumulative incidence of COVID-19 in 14 days (CI14) during the study period. In conclusion, mobility patterns in Spain</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2025-04-05T14:16:42.191Z</modification><creation>2025-04-05T14:16:42.191Z</creation></dates><accession>S-EPMC10001675</accession><cross_references><pubmed>36901366</pubmed><doi>10.3390/ijerph20054356</doi></cross_references></HashMap>