A global compendium of human dengue virus occurrence
Jane P. Messinaa b✉, Oliver J. Bradya b, David M. Pigotta b, John S. Brownsteinc d, Anne Gatewood Hoene f, Simon Iain Haya g h
- aSpatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford , South Parks Road, Oxford, OX1 3PS, UK
- bDepartment of Zoology, Spatial Ecology and Epidemiology Group, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK
- cDepartment of Pediatrics, Harvard Medical School and Children's Hospital Informatics Program, Boston Children's Hospital , Boston, Massachusetts 02115, USA
- dDepartment of Pediatrics, Harvard Medical School and Children’s Hospital Informatics Program, Boston Children’s Hospital, Boston, 02115, Massachusetts, USA
- eDepartment of Community and Family Medicine, Geisel School of Medicine, Dartmouth College , Hanover, New Hampshire 03755, USA
- fDepartment of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, 03755, New Hampshire, USA
- gFogarty International Center, National Institutes of Health , Bethesda, Maryland 20892, USA
- hFogarty International Center, National Institutes of Health, Bethesda, 20892, Maryland, USA
- ✉Corresponding author
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Abstract
A global geographic database of human dengue virus occurrence was produced to generate a global risk map and associated burden estimates1. Herein we present the database, which comprises occurrence data linked to point or polygon locations, derived from peer-reviewed literature and case reports as well as informal online sources. Entries date from 1960 to 2012. We describe all data collection processes in full, as well as geo-positioning, database management and quality-control procedures. This is the most comprehensive database of confirmed human dengue infection to-date, consisting of 8,309 geo-positioned occurrences in total. Design Type(s) observation design • data integration • epidemiological study Measurement Type(s) Viral Epidemiology Technology Type(s) data collection method Factor Type(s) observation period Sample Characteristic(s) Tropical or subtropical location • Anthropogenic habitat Design Type(s) observation design • data integration • epidemiological study Measurement Type(s) Viral Epidemiology Technology Type(s) data collection method Factor Type(s) observation period Sample Characteristic(s) Tropical or subtropical location • Anthropogenic habitat Machine-accessible metadata file describing the reported data (ISA-Tab format)
TL;DRThis is the most comprehensive database of confirmed human dengue infection to-date, consisting of 8,309 geo-positioned occurrences in total, and describes all data collection processes in full. (Semantic Scholar)