Affiliation:
1. The Biomap‐Lab and Johns Hopkins University Baltimore Maryland USA
Abstract
AbstractFor almost everyone in the world, the last few years have been unlike any experienced in their lifetimes. The public health crisis, spawned by the SARS‐CoV‐2 virus and the outbreak of COVID‐19, presented a geospatial analysis challenge like none other as public health officials, emergency rooms, and the general public struggled to track the spread of the disease, allocate resources for testing and care, and understand the origin of this new zoonotic pathogen. During this period, the combination of rapid and open access genomic data combined with case counts and the mapping tools of geographic information systems allowed for near real‐time tracking of the pandemic. This paper describes these tools, how they were used to advise policy‐makers in the US at the height of the pandemic, and some of the lessons learned.
Reference22 articles.
1. Time-dependent spectral analysis of epidemiological time-series with wavelets
2. Crits‐Christoph A. Gangavarapu K. Pekar J. Moshiri N. Singh Phd R. Levy J.et al. (2023)Genetic evidence of susceptible wildlife in SARS‐CoV‐2 positive samples at the Huanan wholesale seafood market Wuhan: Analysis and interpretation of data released by the Chinese Center for Disease Control. Available from:https://zenodo.org/records/7754299
3. Nextstrain: real-time tracking of pathogen evolution
4. More than just cases II: Using artificial neural networks to map COVID‐19 social media sentiment;Hessler J.;The Portolan: Journal of the Washington Map Society,2020
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1. Mapping, geography;Transactions of the Institute of British Geographers;2024-08-16