About: Towards a data-driven characterization of behavioral changes induced by the seasonal flu

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Towards a data-driven characterization of behavioral changes induced by the seasonal flu
Creator	Id, Daniela Gozzi Id, Nicolò Id, Nicola Perrotta Id, Daniela
Source	ArXiv; Medline; PMC
abstract	In this work, we aim to determine the main factors driving self-initiated behavioral changes during the seasonal flu. To this end, we designed and deployed a questionnaire via Influweb, a Web platform for participatory surveillance in Italy, during the 2017 − 18 and 2018 − 19 seasons. We collected 599 surveys completed by 434 users. The data provide socio-demographic information, level of concerns about the flu, past experience with illnesses, and the type of behavioral changes voluntarily implemented by each participant. We describe each response with a set of features and divide them in three target categories. These describe those that report i) no (26%), ii) only moderately (36%), iii) significant (38%) changes in behaviors. In these settings, we adopt machine learning algorithms to investigate the extent to which target variables can be predicted by looking only at the set of features. Notably, 66% of the samples in the category describing more significant changes in behaviors are correctly classified through Gradient Boosted Trees. Furthermore, we investigate the importance of each feature in the classification task and uncover complex relationships between individuals’ characteristics and their attitude towards behavioral change. We find that intensity, recency of past illnesses, perceived susceptibility to and perceived severity of an infection are the most significant features in the classification task and are associated to significant changes in behaviors. Overall, the research contributes to the small set of empirical studies devoted to the data-driven characterization of behavioral changes induced by infectious diseases.
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1371/journal.pcbi.1007879
bibo:pmid	32401809
has license	cc-by
sha1sum (hex)	2496449bfb33b66b0671745c72fe7754e2ea1c9a
schema:url	https://doi.org/10.1371/journal.pcbi.1007879
resource representing a document's title	Towards a data-driven characterization of behavioral changes induced by the seasonal flu
has PubMed Central identifier	PMC7250468
has PubMed identifier	32401809
schema:publication	PLoS Comput Biol
resource representing a document's body	covid:2496449bfb33b66b0671745c72fe7754e2ea1c9a#body_text
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