In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.

In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset on a weekly basis until the end of December 2020.

Objective: Handwashing is now considered as one of the best safety measures to prevent COVID-19 infection. The effect of excessive handwashing for health on OCD patients who are already having washing compulsion is not known. Furthermore, the fear of contamination of COVID-19 in patients who already have obsession of contamination is not known. This study aims to evaluate the effect of COVID-19 on OCD patients. Method: Phone interviews were done with 84 patients previously diagnosed with obsession of contamination and compulsive washing. Yale Brown Obsessive Compulsive Scale was used and the scores of the participants were compared to their prepandemic scores. Results: Only 5 patients (6%) had exacerbation of symptoms after the COVID-19 pandemic. Most of the patients did not report any deterioration of symptoms due to the pandemic. Conclusion: Handwashing protocol does not aggravate the washing compulsion of patients. Similarly, the fear of infection with COVID-19 does not increase their fear of contamination.