Calling in sick: impacts of fever on intra-urban human mobility

Paz-Soldan Parlette, Valerie Andrea; Stoddard, Steven-T.; Elder, John-P.; Halsey, Eric-S.; Long, Kanya-C.; Forshey, Brett-M.; Kochel, Tadeusz-J.; Morrison, Amy-C.; Vazquez-Prokopec, Gonzalo-M.; Perkins, T. Alex; Scott, Thomas-W.; Kitron, Uriel

dc.contributor.author	Perkins, T. Alex
dc.contributor.author	Paz-Soldan Parlette, Valerie Andrea
dc.contributor.author	Stoddard, Steven-T.
dc.contributor.author	Morrison, Amy-C.
dc.contributor.author	Forshey, Brett-M.
dc.contributor.author	Long, Kanya-C.
dc.contributor.author	Halsey, Eric-S.
dc.contributor.author	Kochel, Tadeusz-J.
dc.contributor.author	Elder, John-P.
dc.contributor.author	Kitron, Uriel
dc.contributor.author	Scott, Thomas-W.
dc.contributor.author	Vazquez-Prokopec, Gonzalo-M.
dc.date.accessioned	2019-02-06T14:45:57Z
dc.date.available	2019-02-06T14:45:57Z
dc.date.issued	2016
dc.identifier.uri	https://hdl.handle.net/20.500.12866/5142
dc.description.abstract	Pathogens inflict a wide variety of disease manifestations on their hosts, yet the impacts of disease on the behaviour of infected hosts are rarely studied empirically and are seldom accounted for in mathematical models of transmission dynamics. We explored the potential impacts of one of the most common disease manifestations, fever, on a key determinant of pathogen transmission, host mobility, in residents of the Amazonian city of Iquitos, Peru. We did so by comparing two groups of febrile individuals (dengue-positive and dengue-negative) with an afebrile control group. A retrospective, semi-structured interview allowed us to quantify multiple aspects of mobility during the two-week period preceding each interview. We fitted nested models of each aspect of mobility to data from interviews and compared models using likelihood ratio tests to determine whether there were statistically distinguishable differences in mobility attributable to fever or its aetiology. Compared with afebrile individuals, febrile study participants spent more time at home, visited fewer locations, and, in some cases, visited locations closer to home and spent less time at certain types of locations. These multifaceted impacts are consistent with the possibility that disease-mediated changes in host mobility generate dynamic and complex changes in host contact network structure.	en_US
dc.language.iso	eng
dc.publisher	Royal Society Publishing
dc.relation.ispartofseries	Proceedings - Royal Society. Biological Sciences
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject	activity space	en_US
dc.subject	contact	en_US
dc.subject	dengue	en_US
dc.subject	infection	en_US
dc.subject	movement	en_US
dc.subject	network	en_US
dc.subject	Travel	en_US
dc.subject	Case-Control Studies	en_US
dc.subject	Cities	en_US
dc.subject	Dengue/epidemiology	en_US
dc.subject	Fever/epidemiology	en_US
dc.subject	Humans	en_US
dc.subject	Likelihood Functions	en_US
dc.subject	Models, Theoretical	en_US
dc.subject	Peru/epidemiology	en_US
dc.subject	Retrospective Studies	en_US
dc.title	Calling in sick: impacts of fever on intra-urban human mobility	en_US
dc.type	info:eu-repo/semantics/article
dc.identifier.doi	https://doi.org/10.1098/rspb.2016.0390
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#1.06.00
dc.relation.issn	1471-2954