Author
Listed:
- Ahyoung Lim
(London School of Hygiene & Tropical Medicine
London School of Hygiene & Tropical Medicine)
- Freya M. Shearer
(The University of Melbourne
Perth Children’s Hospital)
- Kara Sewalk
(Boston Children’s Hospital)
- David M. Pigott
(University of Washington
University of Washington)
- Joseph Clarke
(University of Cambridge)
- Azhar Ghouse
(London School of Hygiene & Tropical Medicine
Ministry of Health)
- Ciara Judge
(London School of Hygiene & Tropical Medicine
London School of Hygiene & Tropical Medicine)
- Hyolim Kang
(London School of Hygiene & Tropical Medicine
London School of Hygiene & Tropical Medicine
Nagasaki University)
- Jane P. Messina
(University of Oxford
University of Oxford)
- Moritz U. G. Kraemer
(University of Oxford
University of Oxford)
- Katy A. M. Gaythorpe
(Imperial College London)
- William M. Souza
(College of Medicine)
- Elaine O. Nsoesie
(Boston University)
- Michael Celone
(University of Washington)
- Nuno Faria
(Imperial College London)
- Sadie J. Ryan
(University of Florida)
- Ingrid B. Rabe
(World Health Organization)
- Diana P. Rojas
(World Health Organization)
- Simon I. Hay
(University of Washington
University of Washington)
- John S. Brownstein
(Harvard Medical School)
- Nick Golding
(The University of Melbourne
Perth Children’s Hospital
Curtin University)
- Oliver J. Brady
(London School of Hygiene & Tropical Medicine
London School of Hygiene & Tropical Medicine)
Abstract
Arboviruses transmitted mainly by Aedes (Stegomyia) aegypti and Ae. albopictus, including dengue, chikungunya, and Zika viruses, and yellow fever virus in urban settings, pose an escalating global threat. Existing risk maps, often hampered by surveillance biases, may underestimate or misrepresent the true distribution of these diseases and do not incorporate epidemiological similarities despite shared vector species. We address this by generating new global environmental suitability maps for Aedes-borne arboviruses using a multi-disease ecological niche model with a nested surveillance model fit to a dataset of over 21,000 occurrence points. This reveals a convergence in suitability around a common global distribution with recent spread of chikungunya and Zika closely aligning with areas suitable for dengue. We estimate that 5.66 (95% confidence interval 5.64-5.68) billion people live in areas suitable for dengue, chikungunya and Zika and 1.54 (1.53-1.54) billion people for yellow fever. We find large national and subnational differences in surveillance capabilities with higher income more accessible areas more likely to detect, diagnose and report viral diseases, which may have led to overestimation of risk in the United States and Europe. When combined with estimates of uncertainty, these suitability maps can be used by ministries of health to target limited surveillance and intervention resources in new strategies against these emerging threats.
Suggested Citation
Ahyoung Lim & Freya M. Shearer & Kara Sewalk & David M. Pigott & Joseph Clarke & Azhar Ghouse & Ciara Judge & Hyolim Kang & Jane P. Messina & Moritz U. G. Kraemer & Katy A. M. Gaythorpe & William M. S, 2025.
"The overlapping global distribution of dengue, chikungunya, Zika and yellow fever,"
Nature Communications, Nature, vol. 16(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58609-5
DOI: 10.1038/s41467-025-58609-5
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