The impact of biases in mobile phone ownership on estimates of human mobility.
about
Key traveller groups of relevance to spatial malaria transmission: a survey of movement patterns in four sub-Saharan African countriesMeasuring large-scale social networks with high resolutionEvaluating Spatial Interaction Models for Regional Mobility in Sub-Saharan AfricaMeasures of Human Mobility Using Mobile Phone Records Enhanced with GIS DataImpact of human mobility on the emergence of dengue epidemics in Pakistan.Using mobile phone data to predict the spatial spread of choleraDynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates.Mobile Network Data for Public Health: Opportunities and Challenges.Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planningQuantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phonesDynamic population mapping using mobile phone data.Commentary: containing the ebola outbreak - the potential and challenge of mobile network dataQuantifying the impact of accessibility on preventive healthcare in sub-Saharan Africa using mobile phone data.Remotely measuring populations during a crisis by overlaying two data sourcesQuantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone dataRapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake.Census-derived migration data as a tool for informing malaria elimination policy.Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks.A Randomized Evaluation of a Demand Creation Lottery for Voluntary Medical Male Circumcision Among Adults in Tanzania.Characterizing and quantifying human movement patterns using GPS data loggers in an area approaching malaria elimination in rural southern ZambiaOn the use of human mobility proxies for modeling epidemics.The scaling of human interactions with city size.Understanding Human Mobility from Twitter.A Theoretical Analysis of the Geography of Schistosomiasis in Burkina Faso Highlights the Roles of Human Mobility and Water Resources Development in Disease TransmissionDifferential and enhanced response to climate forcing in diarrheal disease due to rotavirus across a megacity of the developing worldApproaching the limit of predictability in human mobility.Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data.On data processing required to derive mobility patterns from passively-generated mobile phone data.Mathematical models of human mobility of relevance to malaria transmission in Africa.
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P2860
The impact of biases in mobile phone ownership on estimates of human mobility.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
The impact of biases in mobile phone ownership on estimates of human mobility.
@ast
The impact of biases in mobile phone ownership on estimates of human mobility.
@en
type
label
The impact of biases in mobile phone ownership on estimates of human mobility.
@ast
The impact of biases in mobile phone ownership on estimates of human mobility.
@en
prefLabel
The impact of biases in mobile phone ownership on estimates of human mobility.
@ast
The impact of biases in mobile phone ownership on estimates of human mobility.
@en
P2860
P50
P356
P1476
The impact of biases in mobile phone ownership on estimates of human mobility.
@en
P2093
Nathan Eagle
P2860
P304
P356
10.1098/RSIF.2012.0986
P577
2013-02-06T00:00:00Z