SurvStat@RKI 2.0: Web-based query on data reported under the German ’Protection against Infection Act’. The Robert Koch Institute (RKI) maintains a database of cases of notifiable diseases, and confirmation of pathogens, reported under the German ‘Act on the Prevention and Control of Infectious Diseases in Man’ (Infektionsschutzgesetz, IfSG). SurvStat@RKI 2.0 is an application that allows retrieval of aggregated data from a limited version of the German notification system database. Queries can be created individually or customized from pre-defined queries to generate tables, charts, and maps according to the user’s needs.

References in zbMATH (referenced in 11 articles )

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  1. Allévius, Benjamin; Höhle, Michael: An unconditional space-time scan statistic for ZIP-distributed data (2019)
  2. Li, Han; Yang, Kai; Zhao, Shishun; Wang, Dehui: First-order random coefficients integer-valued threshold autoregressive processes (2018)
  3. Yang, Kai; Wang, Dehui; Li, Han: Threshold autoregression analysis for finite-range time series of counts with an application on measles data (2018)
  4. Möller, Tobias A.; Silva, Maria Eduarda; Weiß, Christian H.; Scotto, Manuel G.; Pereira, Isabel: Self-exciting threshold binomial autoregressive processes (2016)
  5. Meyer, Sebastian; Held, Leonhard: Power-law models for infectious disease spread (2014)
  6. Weiß, Christian H.; Pollett, Philip K.: Binomial autoregressive processes with density-dependent thinning (2014)
  7. Manitz, Juliane; Höhle, Michael: Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany (2013)
  8. Choi, Byeong Yeob; Kim, Ho; Go, Un Yeong; Jeong, Jong-Hyeon; Lee, Jae Won: Comparison of various statistical methods for detecting disease outbreaks (2010)
  9. Höhle, Michael; Paul, Michaela: Count data regression charts for the monitoring of surveillance time series (2008)
  10. Höhle, Michael: Surveillance: An R package for the monitoring of infectious diseases (2007)
  11. Held, Leonhard; Hofmann, Mathias; Höhle, Michael; Schmid, Volker: A two-component model for counts of infectious diseases (2006)