Background: Migration is an important factor impacting on infectious disease epidemiology. The timely identification of groups at risk and prevention needs resulting from migration is indispensable to adequately design and implement public health measures. It remains to be assessed to which extent surveillance data for notifiable diseases can directly generate meaningful migration-specific information. Objectives: The objectives of this study are to review indicators of migration background utilized in the German infectious disease surveillance, as well as to assess their limitations. Methods: We describe the indicators of migration used for mandatorily notifiable diseases and pathogens and their legal basis in the Protection against Infection Act and conduct a descriptive analysis of surveillance data for tuberculosis (TB), HIV and syphilis from 2002–2013. Results: Migration status is collected only for five infectious diseases and operationalization varies. For TB (country of birth) and HIV (country of origin) a foreign origin was more frequent than for syphilis (country of origin); namely 46, 30 and 13 % of cases with available information, respectively. In all three examples, there are indications of risk profiles that are specific for particular groups of migrants. Discussion: A standardization of indicators of migration in infectious disease surveillance is important to enhance data comparability between diseases and pathogens as well as across countries. Routine surveillance already partly allows migration sensitive analyses, yet further research is needed to guide interpretation of the complex relationship between migration and infectious diseases and plan public health measures adequately. © Springer-Verlag Berlin Heidelberg 2015.

Surveillance Migration Indicators migrant Infectious diseases

Germany HIV Infections Population Surveillance human comorbidity middle aged statistics and numerical data Aged ethnology procedures Spatio-Temporal Analysis Young Adult Humans Adolescent Infant, Newborn male preschool child Aged, 80 and over tuberculosis very elderly risk factor Infant Risk Factors Child, Preschool newborn female spatiotemporal analysis Syphilis Incidence Disease Outbreaks adult Child health survey