Geographic monitoring for early disease detection (GeoMEDD)
Abstract Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate multiple data streams from different sources, scales, and cadences, but to also identify meaningful spatial patterns in these data, espe...
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Auteurs principaux: | Andrew Curtis, Jayakrishnan Ajayakumar, Jacqueline Curtis, Sarah Mihalik, Maulik Purohit, Zachary Scott, James Muisyo, James Labadorf, Sorapat Vijitakula, Justin Yax, Daniel W. Goldberg |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
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Sujets: | |
Accès en ligne: | https://doaj.org/article/34b287547fef41419e94620f284128c3 |
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