Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections is a research paper published in PLoS Computational Biology (2025). On theSindex it has a DataRank of 0. It has been cited 10 times.
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Medical Research Council
Grant: MR/V031112/1
Mapping the growing global burden of dengue to help countries plan for the next decade of dengue control
Medical Research Council
Grant: MR/X020258/1
MRC Centre for Global Infectious Disease Analysis (MRC GIDA)
Wellcome Trust
Grant: INV-034281
National Research Foundation of Korea
Grant: 2022R1A6A3A03061207
National Science Foundation
Grant: DEB-2011147
US National Institutes of Health
Grant: R35GM133439
US National Institutes of Health
Grant: R01AI168097
US National Institutes of Health
Grant: R01AI102918
National Science Foundation
Grant: DEB-2302677 and OIA-1920946
Wellcome Trust
Grant: 220211
Thailand Africa and Asia Programme - GBP Core
National Science Foundation
Grant: NSF DBI 2016265
National Science Foundation
Grant: NSF BII 2021909
National Science Foundation
Grant: NSF BII 2213854
H2020 European Research Council
Grant: 804744
Coupling dynamic population immunity profiles and host behaviours to arboviral spread
US National Institutions of Health
Grant: 1R01AI175941-01
Defining correlates of protection from dengue illness in a long-term cohort study of multigenerational house-holds in Thailand
H2020 European Research Council
Grant: 101057554
Infectious Disease decision-support tools and Alert systems to build climate Resilience to emerging health Threats
H2020 European Research Council
Grant: 101060568
Identification of best practices for biodiversity recovery and public health interventions to prevent future epidemics and pandemics
CNPq, National Council for Scientific and Technological Development
Grant: 310530/2021-0
FAPERJ, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Grant: E-26/201.277/2021
NIAID NIH HHS
Grant: R01 AI175941
World Health Organization
Grant: 001
Wellcome Trust
Grant: 034281
National Science Foundation
Grant: 2011147
How land use change transforms the landscape of vector-borne disease
National Science Foundation
Grant: 2302677
Collaborative Research: PurSUiT: Systematic viral discovery through structured search of host phylogeny
National Science Foundation
Grant: 2016265
Collaborative Research: CIBR: VectorByte: A Global Informatics Platform for studying the Ecology of Vector-Borne Diseases
National Institutes of Health
Grant: 5R35GM133439-03
Leveraging environmental drivers to predict vector-borne disease transmission
National Institutes of Health
Grant: 5R01AI102918-05
The Burden of Chikungunya and Dengue Transmission, Infection and Disease in Kenya
National Science Foundation
Grant: 2213854
BII: Predicting the global host-virus network from molecular foundations
National Institutes of Health
Grant: 1R01AI168097-01
Modeling the influence of temperature on the evolution of vector-virus interactions
National Science Foundation
Grant: 1920946
RII Track-2 FEC: Marshalling Diverse Big Data Streams to Understand Risk of Tick-Borne Diseases in the Great Plains
National Science Foundation
Grant: 2021909
BII-Design: Exploring the ecology and evolution of the global virome with big data and machine learning
Joseph & Susan Gatto Foundation
Stanford King Center on Global Development
Stanford University Center for Innovation in Global Health
World Health Organization
High Meadows Environmental Institute, Princeton University
Stanford Woods Institute for the Environment
Princeton University Climate and Disease program
Wellcome Trust
Wellcome Trust
FWCI
10.73
Citation Percentile
1.0%
Citation Trend
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