000118214 001__ 118214 000118214 005__ 20240319081021.0 000118214 0247_ $$2doi$$a10.3389/fphy.2022.882314 000118214 0248_ $$2sideral$$a129611 000118214 037__ $$aART-2022-129611 000118214 041__ $$aeng 000118214 100__ $$aLu, Dan 000118214 245__ $$aAssessing the Risk of Spatial Spreading of Diseases in Hospitals 000118214 260__ $$c2022 000118214 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118214 5203_ $$aIn recent years, the transmission of healthcare-associated infections (HAIs) has led to substantial economic loss, extensive damage, and many preventable deaths. With the increasing availability of data, mathematical models of pathogen spreading in healthcare settings are becoming more detailed and realistic. Here, we make use of spatial and temporal information that has been obtained from healthcare workers (HCWs) in three hospitals in Canada and generate data-driven networks that allow us to realistically simulate the spreading of an airborne respiratory pathogen in such settings. By exploring in depth the dynamics of HAIs on the generated networks, we quantify the infection risk associated with both the spatial units of the hospitals and HCWs categorized by their occupations. Our findings show that the "inpatient care" and "public area" are the riskiest categories of units and "nurse" is the occupation at a greater risk of getting infected. Our results provide valuable insights that can prove important for measuring risks associated with HAIs and for strengthening prevention and control measures with the potential to reduce transmission of infections in hospital settings. 000118214 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000118214 590__ $$a3.1$$b2022 000118214 592__ $$a0.607$$b2022 000118214 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b33 / 85 = 0.388$$c2022$$dQ2$$eT2 000118214 593__ $$aBiophysics$$c2022$$dQ2 000118214 593__ $$aMaterials Science (miscellaneous)$$c2022$$dQ2 000118214 593__ $$aPhysics and Astronomy (miscellaneous)$$c2022$$dQ2 000118214 593__ $$aPhysical and Theoretical Chemistry$$c2022$$dQ2 000118214 593__ $$aMathematical Physics$$c2022$$dQ2 000118214 594__ $$a3.8$$b2022 000118214 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118214 700__ $$aAleta, Alberto 000118214 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno Vega, Yamir$$uUniversidad de Zaragoza 000118214 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica 000118214 773__ $$g10 (2022), 882314 [7 pp]$$pFront. phys.$$tFRONTIERS IN PHYSICS$$x2296-424X 000118214 8564_ $$s1391663$$uhttps://zaguan.unizar.es/record/118214/files/texto_completo.pdf$$yVersión publicada 000118214 8564_ $$s2389477$$uhttps://zaguan.unizar.es/record/118214/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118214 909CO $$ooai:zaguan.unizar.es:118214$$particulos$$pdriver 000118214 951__ $$a2024-03-18-16:13:59 000118214 980__ $$aARTICLE