About: Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico

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About: Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico
Creator	Kuri-Morales, Pablo Adams, Ben Ramos-Castañeda, José Román-Pérez, Susana Santos-Luna, René Aralí Martínez-Vega, Ruth Arieli Herrera-Valdez, Marco Falcó N-Lezama, Jorge Kuri-Morales, Fernando Ló Pez-Cervantes, Malaquías
topic	covid:ff2b36ea32d849a577ae66637bbe359f108f35d8#this
source	PMC
abstract	INTRODUCTION: Mathematical models and field data suggest that human mobility is an important driver for Dengue virus transmission. Nonetheless little is known on this matter due the lack of instruments for precise mobility quantification and study design difficulties. MATERIALS AND METHODS: We carried out a cohort-nested, case-control study with 126 individuals (42 cases, 42 intradomestic controls and 42 population controls) with the goal of describing human mobility patterns of recently Dengue virus-infected subjects, and comparing them with those of non-infected subjects living in an urban endemic locality. Mobility was quantified using a GPS-data logger registering waypoints at 60-second intervals for a minimum of 15 natural days. RESULTS: Although absolute displacement was highly biased towards the intradomestic and peridomestic areas, occasional displacements exceeding a 100-Km radius from the center of the studied locality were recorded for all three study groups and individual displacements were recorded traveling across six states from central Mexico. Additionally, cases had a larger number of visits out of the municipality´s administrative limits when compared to intradomestic controls (cases: 10.4 versus intradomestic controls: 2.9, p = 0.0282). We were able to identify extradomestic places within and out of the locality that were independently visited by apparently non-related infected subjects, consistent with houses, working and leisure places. CONCLUSIONS: Results of this study show that human mobility in a small urban setting exceeded that considered by local health authority’s administrative limits, and was different between recently infected and non-infected subjects living in the same household. These observations provide important insights about the role that human mobility may have in Dengue virus transmission and persistence across endemic geographic areas that need to be taken into account when planning preventive and control measures. Finally, these results are a valuable reference when setting the parameters for future mathematical modeling studies.
has issue date	2017-02-22(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0172313
bibo:pmid	28225820
has license	cc-by
sha1sum (hex)	ff2b36ea32d849a577ae66637bbe359f108f35d8
schema:url	https://doi.org/10.1371/journal.pone.0172313
resource representing a document's title	Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico
has PubMed Central identifier	PMC5321279
has PubMed identifier	28225820
schema:publication	PLoS One
resource representing a document's body	covid:ff2b36ea32d849a577ae66637bbe359f108f35d8#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/ff2b36ea32d849a577ae66637bbe359f108f35d8
is schema:about of	named entity 'STATE' named entity 'Dengue' named entity 'MATHEMATICAL MODELS' named entity 'HUMAN MOBILITY' named entity 'LACK' named entity 'MOBILITY' named entity 'DENGUE VIRUS' named entity 'DRIVER' named entity 'LITTLE' named entity 'INSTRUMENTS' named entity 'SUGGEST' named entity 'DIFFICULTIES' named entity 'PRECISE' named entity 'FIELD' named entity 'LOCALITY' named entity 'DATA' named entity 'IMPORTANT' covid:arg/ff2b36ea32d849a577ae66637bbe359f108f35d8 named entity 'ANALYSIS' named entity 'URBAN' named entity 'MORELOS' named entity 'ENDEMIC' named entity 'MOBILITY' named entity 'SPATIAL' named entity 'DENGUE' named entity 'MEXICO' named entity 'KNOWN' named entity 'MATTER' named entity 'STUDY DESIGN' named entity 'SUBJECTS' named entity 'QUANTIFICATION' named entity 'TRANSMISSION' named entity 'field data' named entity 'endemic' named entity 'infectious diseases' named entity 'asymptomatic' named entity 'Peru' named entity 'Geodatabase' named entity 'asymptomatic' named entity 'centroid' named entity 'disease transmission' named entity 'Axochiapan' named entity 'health services' named entity 'asymptomatic' named entity 'health systems' named entity '1.02' named entity 'Monday to Friday' named entity 'epidemiological surveillance' named entity 'serotypes' named entity 'control population' named entity 'epidemiology' named entity 'vector control' named entity 'GPS logger' named entity 'asymptomatic' named entity 'communitarian' named entity 'infectious diseases' named entity 'IgG' named entity 'Cuautla' named entity 'Mexico' named entity 'GPS' named entity 'hexadecimal' named entity 'viremic' named entity 'Christmas' named entity 'nested case-control study' named entity 'infection' named entity 'health promotion' named entity 'epidemiology' named entity 'sample size' named entity 'iterative algorithm' named entity 'cumulative incidence'

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