The current and future global distribution and population at risk of dengue
Statistical mapping techniques provide insights into the current geographical spread of the mosquito-borne dengue virus infection and predict changes in the areas that will be environmentally suitable to the virus for the years 2020, 2050 and 2080.
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
10 June 2019
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| In: |
Nature microbiology
Year: 2019, Volume: 4, Issue: 9, Pages: 1508-1515 |
| ISSN: | 2058-5276 |
| DOI: | 10.1038/s41564-019-0476-8 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1038/s41564-019-0476-8 Verlag, Volltext: https://www.nature.com/articles/s41564-019-0476-8 |
| Author Notes: | Jane P. Messina, Oliver J. Brady, Nick Golding, Moritz U.G. Kraemer, G.R. William Wint, Sarah E. Ray, David M. Pigott, Freya M. Shearer, Kimberly Johnson, Lucas Earl, Laurie B. Marczak, Shreya Shirude, Nicole Davis Weaver, Marius Gilbert, Raman Velayudhan, Peter Jones, Thomas Jaenisch, Thomas W. Scott, Robert C. Reiner and Simon I. Hay |
| Summary: | Statistical mapping techniques provide insights into the current geographical spread of the mosquito-borne dengue virus infection and predict changes in the areas that will be environmentally suitable to the virus for the years 2020, 2050 and 2080. |
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| Item Description: | Gesehen am 16.11.2019 |
| Physical Description: | Online Resource |
| ISSN: | 2058-5276 |
| DOI: | 10.1038/s41564-019-0476-8 |