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Statistical analysis of teleconsultations in the context of the COVID-19 epidemic

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References

  • Allévius, B. 2018. “scanstatistics: Space-time Anomaly Detection Using Scan Statistics.” Journal of Open Source Software 3 (25):515. doi: 10.21105/joss.00515.
  • Allévius, B., and M. Höhle. 2018. “An Unconditional Space–Time Scan Statistic for Zip-Distributed Data.” Scandinavian Journal of Statistics 46 (1):142–159. doi: 10.1111/sjos.12341.
  • Besag, J., and J. Newell. 1991. “The Detection of Clusters in Rare Diseases.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 154 (1):143–155. doi: 10.2307/2982708.
  • Block, R. 2007. “Software Review: Scanning for Clusters in Space and Time: A Tutorial Review of Satscan.” Social Science Computer Review 25 (2):272–278. doi: 10.1177/0894439307298562.
  • Cressie, N. 2015. Statistics for Spatial Data. New York: Wiley.
  • Daley, D. J., and D. Vere-Jones. 2003. An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods. New York: Springer.
  • de Lima, M. S., V. S. dos Santos, L. H. Duczmal, and D. da Silva Souza. 2016. “A Spatial Scan Statistic for Beta Regression.” Spatial Statistics 18:444–454. doi: 10.1016/j.spasta.2016.09.003.
  • de Lima, M. S., L. H. Duczmal, J. C. Neto, and L. P. Pinto. 2015. “Spatial Scan Statistics for Models with Overdispersion and Inflated Zeros.” Statistica Sinica 25:225–241. doi: 10.5705/ss.2013.220w.
  • Desjardins, M., A. Hohl, and E. Delmelle. 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. doi: 10.1016/j.apgeog.2020.102202.
  • Duczmal, L., A. L. Cançado, R. H. Takahashi, and L. F. Bessegato. 2007. “A Genetic Algorithm for Irregularly Shaped Spatial Scan Statistics.” Computational Statistics & Data Analysis 52 (1):43–52. doi: 10.1016/j.csda.2007.01.016.
  • Gómez-Rubio, V., Moraga, P., Molitor, J., and Rowlingson, B. 2019. “Dclusterm: Model-Based Detection of Disease Clusters.” Journal of Statistical Software 90 (1):1–26. doi: 10.18637/jss.v090.i14.
  • Jung, I. 2009. “A Generalized Linear Models Approach to Spatial Scan Statistics for Covariate Adjustment.” Statistics in Medicine 28 (7):1131–1143. doi: 10.1002/sim.3535.
  • Kulldorff, M. 1997. “A Spatial Scan Statistic.” Communications in Statistics-Theory and Methods 26 (6):1481–1496. doi: 10.1080/03610929708831995.
  • Kulldorff, M. 2001. “Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 164 (1):61–72. doi: 10.1111/1467-985X.00186.
  • Lee, M., and I. Jung. 2019. “Modified Spatial Scan Statistics Using a Restricted Likelihood Ratio for Ordinal Outcome Data.” Computational Statistics & Data Analysis 133:28–39. doi: 10.1016/j.csda.2018.09.005.
  • Loh, J. M., and Z. Zhu. 2007. “Accounting for Spatial Correlation in the Scan Statistic.” The Annals of Applied Statistics 1 (2):560–584. doi: 10.1214/07-AOAS129.
  • Neill, D. B., A. W. Moore, M. Sabhnani, and K. Daniel. 2005. “Detection of Emerging Space-Time Clusters.” In Proceedings of the eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, 218–227.
  • Oscar, W., and J. Vaillant. 2021. “Cox Processes Associated with Spatial Copula Observed through Stratified Sampling.” Mathematics 9 (5):524. doi: 10.3390/math9050524.
  • Pebesma, E. 2012. “Spacetime: Spatio-Temporal Data in r.” Journal of Statistical Software 51 (7):1–30.
  • Silva, I. R., L. Duczmal, and M. Kulldorff. 2021. “Confidence Intervals for Spatial Scan Statistic.” Computational Statistics & Data Analysis 158:107185. doi: 10.1016/j.csda.2021.107185.
  • Takahashi, K., and H. Shimadzu. 2020. “Detecting Multiple Spatial Disease Clusters: Information Criterion and Scan Statistic Approach.” International Journal of Health Geographics 19 (1):1–11. doi: 10.1186/s12942-020-00228-y.
  • Tango, T. 2008. “A Spatial Scan Statistic with a Restricted Likelihood Ratio.” Japanese Journal of Biometrics 29 (2):75–95. doi: 10.5691/jjb.29.75.
  • Tango, T., K. Takahashi, and K. Kohriyama. 2011. “A Space–Time Scan Statistic for Detecting Emerging Outbreaks.” Biometrics 67 (1):106–115. doi: 10.1111/j.1541-0420.2010.01412.x.
  • Vaillant, J. 1991. “Negative Binomial Distributions of Individuals and Spatio-Temporal Cox Processes.” Scandinavian Journal of Statistics 18:235–248.
  • Zhang, T., and G. Lin. 2009. “Spatial Scan Statistics in Loglinear Models.” Computational Statistics & Data Analysis 53 (8):2851–2858. doi: 10.1016/j.csda.2008.09.016.

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