Work

Antigenic diversity and dengue disease risk

Year: 2023

Type: preprint

Study design: Observational Study

Source: Research Square

DOI: 10.21203/rs.3.rs-3214507/v1

Authors: Lin Wang, Angkana Huang, Leah Katzelnick, Noémie Lefrancq, Ana Coello Escoto, Loréna Duret, Nayeem Chowdhury, Richard Jarman, Matthew Conte, Irina Berry, Stefan Fernandez, Chonticha Klungthong, Butsaya Thaisomboonsuk, Piyarat Suntarattiwong, Warunee Vandepitte, Stephen Whitehead, Simon Cauchemez, Derek Cummings, Henrik Salje

Institutions: University of Cambridge, University of Florida, National Institutes of Health, National Institute of Allergy and Infectious Diseases, Coalition for Epidemic Preparedness Innovations, Coalition for Epidemic Preparedness Innovations, Walter Reed Army Institute of Research, Armed Forces Research Institute of Medical Science, Queen Sirikit National Institute of Child Health, Centre National de la Recherche Scientifique, Institut Pasteur, Génomique évolutive, modélisation et santé

Language: English

Topic: Mosquito-borne diseases and control

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Dell EMC, University of Cambridge, National Institutes of Health, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council, National Institute of Allergy and Infectious Diseases, H2020 European Research Council

Awards: LINKING ANTIGENIC & GENETIC VARIATION OF DENGUE TO INDIVIDUAL AND POPULATION RISK, G5044766248, Coupling dynamic population immunity profiles and host behaviours to arboviral spread, G581313191, Cambridge Service for Data Driven Discovery (CSD3) - A National Data Intensive Science Cloud for Converged Simulation, AI & Analytics

OpenAlex ID: W4385493814

Cites: 49

Cited by:

Related to: 10