Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 4 times.
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National Institutes of Health
Grant: R01AI125842
National Science Foundation
Grant: DEB 2032210
MIDAS Coordination Center
Grant: MIDASSUP2020-4
National Institute of General Medical Science
Grant: 3U24GM132013-02S2
COVID-19 Modeling Urgent Grant Program for the Modeling of Infectious Disease Agent Study
NIAID NIH HHS
Grant: R01 AI148336
NIGMS NIH HHS
Grant: U24 GM132013
National Science Foundation
Grant: 2032210
EAGER: Collaborative Research: Rapid Production of Geospatial Network Inputs for Spatially Explicit Epidemiological Modeling of COVID-19 in the USA
National Institutes of Health
Grant: 1R01AI125842-01A1
Spatio-temporal data integration methods for infectious disease surveillance
FWCI
0.62
Citation Percentile
0.7%
Citation Trend
Fields of Study
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Sustainable Development Goals