Aims During the COVID-19 pandemic, many health-related questions require rapid answers. In the Competence Network Public Health COVID-19, founded by representatives of several scientific societies in March 2020, rapid reviews are often conducted to generate evidence-based answers that are useful for policy makers. The aim of this paper is to reflect on the practical experience with rapid reviews in the context of the Competence Network Public Health. Methods for high-quality and practicable implementation of rapid reviews were developed, which are particularly helpful for rapid evidence generation based on observational studies. Methods Using the 8-step approach proposed by Tricco et al. [1], we describe the acute challenges that have arisen in the Public Health Competence Network COVID-19 while conducting rapid reviews on public health-related issues related to the COVID-19-pandemic. The 8 steps are: 1. conceptualization of the research question, 2. literature search, 3. title/abstract and full text screening, 4. data extraction, 5. risk of bias assessment, 6. evidence synthesis, 7. dissemination, 8. update. We develop a methodological approach for conducting rapid reviews by expert consensus of the members (n=42 as of 01/28/2021) of the Rapid Reviews Working Group in the Competence Network Public Health COVID-19. Results A standardized approach is presented that closely follows the approach of the Cochrane Rapid Reviews Methods Group and takes into account the special requirements of etiological-but often also ecological-observational studies on COVID-19. Conclusions The proposed approach for conducting rapid reviews can form an important basis for evidence-based policy advice-certainly beyond questions related to COVID-19. Flexible and rapid funding concepts should be made available for the short-term realization of methodologically high-quality rapid reviews on emerging questions. Scientific cooperation in conducting rapid reviews needs to be expanded, and more methodologically high-quality approaches such as prospective meta-analyses should be used.