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An ecological assessment of the pandemic threat of Zika virus

SummaryThe current outbreak of Zika virus poses a threat of unknown magnitude to human health1. While the range of the virus has been cataloged growing slowly over the last 50 years, the recent explosive expansion in the Americas indicates that the full potential distribution of Zika remains uncertain2-4. Moreover, most current epidemiology relies on its similarities to dengue fever, a phylogenetically closely related disease of unknown similarity in spatial range or ecological niche5,6. Here we compile the first spatially explicit global occurrence dataset from Zika viral surveillance and serological surveys, and construct ecological niche models to test basic hypotheses about its spread and potential establishment. The hypothesis that the outbreak of cases in Mexico and North America are anomalous and outside the ecological niche of the disease, and may be linked to El Nino or similar climatic events, remains plausible at this time7. Comparison of the Zika niche against the known distribution of dengue fever suggests that Zika is more constrained by the seasonality of precipitation and diurnal temperature fluctuations, likely confining the disease to the tropics outside of pandemic scenarios. Projecting the range of the diseases in conjunction with vector species (Aedes africanus,Ae. aegypti, andAe. albopictus) that transmit the pathogens, under climate change, suggests that Zika has potential for northward expansion; but, based on current knowledge, Zika is unlikely to fill the full range its vectors occupy. With recent sexual transmission of the virus known to have occurred in the United States, we caution that our results only apply to the vector-borne aspect of the disease, and while the threat of a mosquito-carried Zika pandemic may be overstated in the media, other transmission modes of the virus may emerge and facilitate naturalization worldwide.
- University of KwaZulu-Natal South Africa
- University of KwaZulu-Natal South Africa
- Centers for Disease Control and Prevention United States
- University of California System United States
- Centers for Disease Control and Prevention United States
Biomedical and clinical sciences, Climate Change, RC955-962, Mosquito Vectors, Medical and Health Sciences, 333, Disease Outbreaks, Vaccine Related, Rare Diseases, Theoretical, Models, Aedes, Biodefense, Tropical Medicine, Arctic medicine. Tropical medicine, Animals, Humans, Mexico, Pandemics, Ecosystem, Zika Virus Infection, Prevention, Temperature, Health sciences, Zika Virus, Biological Sciences, Models, Theoretical, Vector-Borne Diseases, Biological sciences, Infectious Diseases, Emerging Infectious Diseases, Good Health and Well Being, North America, Public aspects of medicine, RA1-1270, Americas, Infection, Research Article
Biomedical and clinical sciences, Climate Change, RC955-962, Mosquito Vectors, Medical and Health Sciences, 333, Disease Outbreaks, Vaccine Related, Rare Diseases, Theoretical, Models, Aedes, Biodefense, Tropical Medicine, Arctic medicine. Tropical medicine, Animals, Humans, Mexico, Pandemics, Ecosystem, Zika Virus Infection, Prevention, Temperature, Health sciences, Zika Virus, Biological Sciences, Models, Theoretical, Vector-Borne Diseases, Biological sciences, Infectious Diseases, Emerging Infectious Diseases, Good Health and Well Being, North America, Public aspects of medicine, RA1-1270, Americas, Infection, Research Article
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).100 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
