Detecting Spatial Clusters of Coronavirus Infection Across London During the Second Wave
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12061-021-09413-3.pdf
Reference15 articles.
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3. Desjardins, M. R., Hohl, A., & Delmelle, E. M. (2020). Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters. Applied Geography, 118, 102202.
4. Gatto, M., Bertuzzo, E., Mari, L., Miccoli, S., Carraro, L., Casagrandi, R., & Rinaldo, A. (2020). Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures. Proceedings of the National Academy of Sciences, 117(19), 10484–10491.
5. Gómez-Rubio, V., Molitor, J., & Moraga, P. (2018). Fast Bayesian classification for disease mapping and the detection of disease clusters. In Quantitative methods in environmental and climate research (pp. 1–27). Springer.
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