So on Kaggle there is a "line list" data source which is quite interesting.
In this list you will find a column showing whether it's the first case in a particular country, if the patient was visiting or coming from Wuhan.
However, there are cases where it's not that binary. Take Germany for example:
new confirmed COVID-19 patient in Germany: 1/28-No.1 male, 33, caught from Chinese colleague during conference in Munich from 1/20-1/21, first human-to-human transmission in Europe, confirmed 1/27/202...
new confirmed COVID-19 patient in Rome, Italy: male, Chinese tourist, arrived in Milan over a week ago
Both are first cases, so therefore the number of cases is 1 and can be filtered easily. However, there are nth confirmed cases which have been imported too. Therefore, some automation filtering those entries would be helpful.
Could NLP help? I am a novice in these topics and started learning, so excuse me if I haven't tried yet.