Faster indicators of chikungunya incidence using Google searches

Data underlying: Miller, S., Preis, T., Mizzi, G., Bastos, L. S., Gomes, M. F. d. C., Coelho, F. C., Codeço, C. T., &amp; Moat, H. S. (2022). Faster indicators of chikungunya incidence using Google searches. <em>PLOS Neglected Tropical Diseases, 16, </em>e0010441. doi:10.1371/journal.pntd.0010441. <br> <strong>MillerEtAl_ChikungunyaCaseCountData.csv</strong> This file contains data on weekly chikungunya case counts in the city of Rio de Janeiro, aggregated by the week in which the case was first diagnosed (the notification week) and the delay in number of weeks in entering the case in the surveillance system. <br> <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notification_week</em>: the epidemiological week in which cases were notified <em>delay_in_weeks:</em> the delay in number of weeks in entering the cases in the surveillance system <em>case_count: </em>the number of cases that were notified in the specified week with the specified delay in number of weeks <br> <strong>MillerEtAl_Fig1A.csv</strong> The data underlying Fig. 1A. <br> <em>pct_entered: </em>the percentage of cases notified in the specified epidemiological week that had been entered by the end of the week commencing 26 May 2019 <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notified_cases</em>: the number of cases notified in the specified epidemiological week <em>entered_cases</em>: the number of cases notified in the specified epidemiological week and entered by the end of the week commencing 26 May 2019 <br> <strong>MillerEtAl_Fig1B.csv</strong> The data underlying Fig. 1B. <br> <em>pct_entered: </em>the percentage of cases notified in the specified epidemiological week that had been entered by the end of the week commencing 21 July 2019 <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notified_cases</em>: the number of cases notified in the specified epidemiological week <em>entered_cases</em>: the number of cases notified in the specified epidemiological week and entered by the end of the week commencing 21 July 2019 <br> <strong>MillerEtAl_Fig1C.csv</strong> The data underlying Fig. 1C. <br> <em>pct_entered: </em>the percentage of cases notified in the specified epidemiological week that had been entered by the end of the week commencing 15 September 2019 <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notified_cases</em>: the number of cases notified in the specified epidemiological week <em>entered_cases</em>: the number of cases notified in the specified epidemiological week and entered by the end of the week commencing 15 September 2019 <br> <strong>MillerEtAl_Fig2A.csv</strong> The data underlying Fig. 2A. <br> <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notified_cases</em>: the number of cases notified in the specified epidemiological week <em>entered_cases</em>: the number of cases notified in the specified epidemiological week and entered by the end of the same week <br> <strong>MillerEtAl_Fig3FigS1A.csv</strong> The data underlying Fig. 3 in the main text and Fig. A in S1 Appendix. <br> <em>notification_week_commencing</em><strong>: </strong>the start date of the epidemiological week in which cases were notified <em>notification_week</em>: the epidemiological week in which cases were notified <em>notified_cases</em>: the number of cases notified in the specified epidemiological week <em>baseline_mean</em>: the baseline nowcasting model's mean estimate of the number of cases notified in the specified epidemiological week <em>baseline_2.5</em>: the lower bound of the baseline nowcasting model's 95% prediction interval for the number of cases notified in the specified epidemiological week <em>baseline_97.5</em>: the upper bound of the baseline nowcasting model's 95% prediction interval for the number of cases notified in the specified epidemiological week <em>baseline_in_interval</em>: whether the true number of notified cases for the specified epidemiological week fell within the baseline nowcasting model's 95% prediction interval <em>baseline_error</em>: the difference between the baseline nowcasting model's mean estimate of the number of cases notified in the specified epidemiological week and the true number of notified cases <em>baseline_interval_width</em>: the size of the baseline nowcasting model's 95% prediction interval for the number of cases notified in the specified epidemiological week <em>google_mean</em>: the mean estimate of the number of cases notified in the specified epidemiological week produced by the nowcasting model using Google searches <em>google_2.5</em>: the lower bound of the 95% prediction interval for the number of cases notified in the specified epidemiological week produced by the nowcasting model using Google searches <em>google_97.5</em>: the upper bound of the 95% prediction interval for the number of cases notified in the specified epidemiological week produced by the nowcasting model using Google searches <em>google_in_interval</em>: whether the true number of notified cases for the specified epidemiological week fell within the 95% prediction interval produced by the nowcasting model using Google searches <em>google_error</em>: the difference between the mean estimate of the number of cases notified in the specified epidemiological week produced by the nowcasting model using Google searches and the true number of notified cases <em>google_interval_width</em>: the size of the 95% prediction interval for the number of cases notified in the specified epidemiological week produced by the nowcasting model using Google searches <em>heuristic</em>: the heuristic model's estimate of the number of cases notified in the specified epidemiological week