| P50 | author | Marc Fischer | Q24727787 |
| | Emily Zielinski-Gutierrez | Q46147753 |
| | Rebecca J. Eisen | Q58149579 |
| | Lars Eisen | Q74940167 |
| P2093 | author name string | Chester G Moore | |
| | Roger S Nasci | |
| | Mark J Delorey | |
| | Anna M Winters | |
| | W John Pape | |
| P2860 | cites work | Epidemic West Nile encephalitis, New York, 1999: results of a household-based seroepidemiological survey | Q24570061 |
| | Risk factors associated with human infection during the 2006 West Nile virus outbreak in Davis, a residential community in northern California | Q27485229 |
| | Use of Mapping and Spatial and Space-Time Modeling Approaches in Operational Control of Aedes aegypti and Dengue | Q27488311 |
| | Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments | Q28656310 |
| | Confidentiality and spatially explicit data: concerns and challenges | Q28769148 |
| | Predicting density of Ixodes pacificus nymphs in dense woodlands in Mendocino County, California, based on geographic information systems and remote sensing versus field-derived data | Q31036421 |
| | Spatial patterns of Lyme disease risk in California based on disease incidence data and modeling of vector-tick exposure. | Q31066343 |
| | Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public | Q31075387 |
| | Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases | Q31145817 |
| | Combining mosquito vector and human disease data for improved assessment of spatial West Nile virus disease risk. | Q31151380 |
| | Spatial modeling of human risk of exposure to vector-borne pathogens based on epidemiological versus arthropod vector data | Q31152137 |
| | Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review | Q33304215 |
| | Studying the global distribution of infectious diseases using GIS and RS. | Q35701672 |
| | Not all maps are equal: GIS and spatial analysis in epidemiology. | Q35771216 |
| | Remote sensing and human health: new sensors and new opportunities | Q37093952 |
| | Tracking the polio virus down the Congo River: a case study on the use of Google Earth in public health planning and mapping | Q37103810 |
| | Towards Web-based representation and processing of health information | Q37117228 |
| | Modeling the spatial distribution of mosquito vectors for West Nile virus in Connecticut, USA. | Q40286170 |
| | Identifying West Nile virus risk areas: the Dynamic Continuous-Area Space-Time system | Q40559860 |
| | Health Insurance Portability and Accountability Act of 1996: a tempered victory | Q41495637 |
| | Keeping an eye on privacy issues with geospatial data | Q46148170 |
| | Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis | Q46688754 |
| | Evaluating satellite sensor-derived indices for Lyme disease risk prediction | Q60533351 |
| P4510 | describes a project that uses | ArcGIS | Q513297 |
| P433 | issue | 5 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | West Nile virus | Q158856 |
| | vector-borne disease | Q2083837 |
| P304 | page(s) | 945-953 | |
| P577 | publication date | 2010-05-01 | |
| P1433 | published in | American Journal of Tropical Medicine and Hygiene | Q15766943 |
| P1476 | title | Spatial risk assessments based on vector-borne disease epidemiologic data: importance of scale for West Nile virus disease in Colorado | |
| P478 | volume | 82 | |