| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1026666623 |
| P356 | DOI | 10.1186/1476-072X-8-68 |
| P3181 | OpenCitations bibliographic resource ID | 1269187 |
| P932 | PMC publication ID | 2792221 |
| P698 | PubMed publication ID | 19948034 |
| P50 | author | Uriel Kitron | Q28052926 |
| Thomas W Scott | Q85240730 | ||
| P2093 | author name string | Amy C Morrison | |
| John P Elder | |||
| Tadeusz J Kochel | |||
| Steven T Stoddard | |||
| Gonzalo M Vazquez-Prokopec | |||
| Valerie Paz-Soldan | |||
| P2860 | cites work | Comparison of global positioning system (GPS) tracking and parent-report diaries to characterize children's time-location patterns | Q23915826 |
| Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument | Q23923276 | ||
| The role of human movement in the transmission of vector-borne pathogens | Q24290757 | ||
| Using GPS-enabled cell phones to track the travel patterns of adolescents | Q28384626 | ||
| Development of a wearable global positioning system for place and health research | Q28386925 | ||
| Assessing and maximizing the acceptability of global positioning system device use for studying the role of human movement in dengue virus transmission in Iquitos, Peru | Q28394422 | ||
| When individual behaviour matters: homogeneous and network models in epidemiology | Q28754461 | ||
| Understanding individual human mobility patterns | Q29617921 | ||
| Dengue and dengue haemorrhagic fever | Q29620093 | ||
| Malaria on the move: human population movement and malaria transmission | Q30397649 | ||
| Adolescent travel patterns: pilot data indicating distance from home varies by time of day and day of week | Q31149816 | ||
| Capturing momentary, self-report data: a proposal for reporting guidelines | Q33184049 | ||
| The use of advanced tracking technologies for the analysis of mobility in Alzheimer's disease and related cognitive diseases | Q33325757 | ||
| Man bites mosquito: understanding the contribution of human movement to vector-borne disease dynamics | Q37307596 | ||
| A hybrid mobile-based patient location tracking system for personal healthcare applications | Q38445868 | ||
| Disease and Mobility: A Neglected Factor in Epidemiology | Q39211552 | ||
| Review of the factors modulating dengue transmission | Q39422895 | ||
| The epidemiology of dengue virus infection among urban, jungle, and rural populations in the Amazon region of Peru. | Q39435579 | ||
| The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis | Q39447643 | ||
| Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992. | Q39464831 | ||
| Use of global positioning system technology to track subject's location during environmental exposure sampling | Q39574850 | ||
| Modelling disease outbreaks in realistic urban social networks | Q39684931 | ||
| Temporal and geographic patterns of Aedes aegypti (Diptera: Culicidae) production in Iquitos, Peru | Q39703217 | ||
| Aedes aegypti (Diptera: Culicidae) production from non-residential sites in the Amazonian city of Iquitos, Peru | Q39752697 | ||
| Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina | Q40445666 | ||
| Dispersal of the dengue vector Aedes aegypti within and between rural communities | Q40513887 | ||
| Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos, Peru | Q40543196 | ||
| Identification of the people from whom engorged Aedes aegypti took blood meals in Florida, Puerto Rico, using polymerase chain reaction-based DNA profiling | Q40553971 | ||
| Analysis of survival of young and old Aedes aegypti (Diptera: Culicidac) from Puerto Rico and Thailand | Q40598953 | ||
| Aedes aegypti survival and dispersal estimated by mark-release-recapture in northern Australia | Q42987430 | ||
| Aedes aegypti (Diptera: Culicidae) movement influenced by availability of oviposition sites | Q42989522 | ||
| Could a satellite-based navigation system (GPS) be used to assess the physical activity of individuals on earth? | Q52894470 | ||
| P4510 | describes a project that uses | ArcGIS | Q513297 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Dengue virus | Q476209 |
| data sharing | Q5227350 | ||
| P304 | page(s) | 68 | |
| P577 | publication date | 2009-11-30 | |
| P1433 | published in | International Journal of Health Geographics | Q15752546 |
| P1476 | title | Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus | |
| P478 | volume | 8 |
| Q98158827 | AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission |
| Q36287544 | Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico |
| Q38619053 | Assessing Smart Phones for Generating Life-space Indicators |
| Q28394422 | Assessing and maximizing the acceptability of global positioning system device use for studying the role of human movement in dengue virus transmission in Iquitos, Peru |
| Q37152700 | Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: statistical vs expert-based modeling |
| Q30862635 | Assessing the methods needed for improved dengue mapping: a SWOT analysis |
| Q47217463 | Assessment of accuracy, fix success rate, and use of estimated horizontal position error (EHPE) to filter inaccurate data collected by a common commercially available GPS logger. |
| Q27305305 | Can human movements explain heterogeneous propagation of dengue fever in Cambodia? |
| Q59795643 | Capturing fine-scale travel behaviors: a comparative analysis between personal activity location measurement system (PALMS) and travel diary |
| Q33748101 | Characterizing and quantifying human movement patterns using GPS data loggers in an area approaching malaria elimination in rural southern Zambia |
| Q33454991 | Classifying Human Activity Patterns from Smartphone Collected GPS data: a Fuzzy Classification and Aggregation Approach |
| Q26828601 | Climate change and dengue: a critical and systematic review of quantitative modelling approaches |
| Q97680037 | Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: the detailed investigation in Sri Lanka |
| Q55283371 | Comparing Paper and Tablet Modes of Retrospective Activity Space Data Collection. |
| Q46227458 | Contours of risk: spatializing human behaviors to understand disease dynamics in changing landscapes. |
| Q37348507 | Day-to-Day Population Movement and the Management of Dengue Epidemics |
| Q90218804 | Dengue illness impacts daily human mobility patterns in Iquitos, Peru |
| Q28383145 | Development of Time-location Weighted Spatial Measures Using Global Positioning System Data |
| Q29994571 | Does deforestation promote or inhibit malaria transmission in the Amazon? A systematic literature review and critical appraisal of current evidence |
| Q58514463 | Evaluating GPS sampling rates for pedestrian assistant systems |
| Q54221715 | Evaluating neighborhood structures for modeling intercity diffusion of large-scale dengue epidemics. |
| Q33972494 | Feasibility of using web surveys to collect time-activity data |
| Q58377541 | Fine-scale GPS tracking to quantify human movement patterns and exposure to leptospires in the urban slum environment |
| Q37591375 | Genetics: A New Landscape for Medical Geography |
| Q30866905 | Global positioning system data-loggers: a tool to quantify fine-scale movement of domestic animals to evaluate potential for zoonotic transmission to an endangered wildlife population |
| Q37019115 | Human ecology in pathogenic landscapes: two hypotheses on how land use change drives viral emergence |
| Q34306393 | Human movement data for malaria control and elimination strategic planning |
| Q30151102 | Impact of human mobility on the emergence of dengue epidemics in Pakistan |
| Q26315504 | Inferring the Spatio-temporal Patterns of Dengue Transmission from Surveillance Data in Guangzhou, China |
| Q33981996 | International population movements and regional Plasmodium falciparum malaria elimination strategies |
| Q28601587 | Mapping Multi-Day GPS Data: A Cartographic Study in NYC |
| Q34510358 | Measuring the burden of arboviral diseases: the spectrum of morbidity and mortality from four prevalent infections |
| Q30387874 | Mobile Network Data for Public Health: Opportunities and Challenges |
| Q36969072 | Mobile phones and malaria: modeling human and parasite travel |
| Q98943898 | Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka |
| Q28584529 | Older Adults' Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics |
| Q33880793 | On the use of human mobility proxies for modeling epidemics |
| Q28648224 | Performance and Accuracy of Lightweight and Low-Cost GPS Data Loggers According to Antenna Positions, Fix Intervals, Habitats and Animal Movements |
| Q40051444 | Performance of GPS-devices for environmental exposure assessment |
| Q28385154 | Performances of different global positioning system devices for time-location tracking in air pollution epidemiological studies |
| Q47157862 | Physical activity and activity space in patients with pulmonary fibrosis not prescribed supplemental oxygen |
| Q38679233 | Predictors of Daily Mobility of Adults in Peri-Urban South India |
| Q36030395 | Projected Impact of Dengue Vaccination in Yucatán, Mexico |
| Q34515601 | Protocol for a mixed-methods study of supplemental oxygen in pulmonary fibrosis. |
| Q58785852 | Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors |
| Q27306531 | Quantifying the spatial dimension of dengue virus epidemic spread within a tropical urban environment |
| Q38662135 | Risk of exposure to potential vector mosquitoes for rural workers in Northern Lao PDR. |
| Q27333825 | Seabird diving behaviour reveals the functional significance of shelf-sea fronts as foraging hotspots. |
| Q36961107 | Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011. |
| Q34688086 | Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010. |
| Q30830683 | Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru |
| Q52565993 | The Social and Spatial Ecology of Dengue Presence and Burden during an Outbreak in Guayaquil, Ecuador, 2012. |
| Q33954195 | The role of climate variability and change in the transmission dynamics and geographic distribution of dengue |
| Q92705093 | The use of GPS data loggers to describe the impact of spatio-temporal movement patterns on malaria control in a high-transmission area of northern Zambia |
| Q30000821 | The use of census migration data to approximate human movement patterns across temporal scales |
| Q37089673 | Towards a Casa Segura: a consumer product study of the effect of insecticide-treated curtains on Aedes aegypti and dengue virus infections in the home |
| Q63246368 | Tracking dengue virus type 1 genetic diversity during lineage replacement in an hyperendemic area in Colombia |
| Q36604245 | Travel history and malaria infection risk in a low-transmission setting in Ethiopia: a case control study |
| Q57871572 | Underestimating the effects of spatial heterogeneity due to individual movement and spatial scale: infectious disease as an example |
| Q27334703 | Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment |
| Q30828211 | Using Global Positioning Systems (GPS) and temperature data to generate time-activity classifications for estimating personal exposure in air monitoring studies: an automated method |
| Q64963294 | Using Google Location History data to quantify fine-scale human mobility. |
Search more.