about
Emergence and potential for spread of Chikungunya virus in BrazilSpatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)Comparing and modelling land use organization in citiesA geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997-2010A multi-source dataset of urban life in the city of Milan and the Province of TrentinoMeasures of Human Mobility Using Mobile Phone Records Enhanced with GIS DataKey data for outbreak evaluation: building on the Ebola experience.Contact structure, mobility, environmental impact and behaviour: the importance of social forces to infectious disease dynamics and disease ecology.Seasonal Population Movements and the Surveillance and Control of Infectious Diseases.WorldPop, open data for spatial demographyDynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates.Measuring the potential of individual airports for pandemic spread over the world airline network.Fine resolution mapping of population age-structures for health and development applicationsHigh resolution global gridded data for use in population studiesContinental-scale quantification of landscape values using social media dataDesign and fabrication of a passive droplet dispenser for portable high resolution imaging system.Tracking employment shocks using mobile phone data.Dynamic assessment of exposure to air pollution using mobile phone dataA Grassroots Remote Sensing Toolkit Using Live Coding, Smartphones, Kites and Lightweight Drones.Improving Large Area Population Mapping Using Geotweet DensitiesGeo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border MovementBig city, small world: density, contact rates, and transmission of dengue across PakistanPopulation-weighted efficiency in transportation networksAdvances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence.GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population dataPredicting poverty and wealth from mobile phone metadata.Assessing reliable human mobility patterns from higher order memory in mobile communications.Modelling changing population distributions: an example of the Kenyan Coast, 1979-2009.Combining disparate data sources for improved poverty prediction and mapping.Universal model of individual and population mobility on diverse spatial scales.Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model.Spatially disaggregated population estimates in the absence of national population and housing census data.Immigrant community integration in world cities.Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security.A survey of results on mobile phone datasets analysisAgent-based models of malaria transmission: a systematic reviewUnveiling patterns of international communities in a global city using mobile phone dataDigital daily cycles of individualsMapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, ChinaAn analytical framework to nowcast well-being using mobile phone data
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Dynamic population mapping using mobile phone data.
@ast
Dynamic population mapping using mobile phone data.
@en
type
label
Dynamic population mapping using mobile phone data.
@ast
Dynamic population mapping using mobile phone data.
@en
prefLabel
Dynamic population mapping using mobile phone data.
@ast
Dynamic population mapping using mobile phone data.
@en
P2860
P50
P356
P1476
Dynamic population mapping using mobile phone data.
@en
P2093
Andrea E Gaughan
Samuel Martin
P2860
P304
15888-15893
P356
10.1073/PNAS.1408439111
P407
P577
2014-10-27T00:00:00Z