CovidNPI: A Sentiment Analysis Dataset for Evaluating Nonpharmaceutical Interventions of COVID 19
Coronavirus disease 2019 (COVID 19) has infected 1,587,209 individuals all over the world and caused 94,850 deaths, as of April 9 in 2020. To effectively contain COVID 19, many nonpharmaceutical interventions (NPIs) such as school closure, travel bans, are being taken. Are these NPIs which have huge negative impacts on economics and society effective for controlling the spreading of COVID 19? Different research studies have different opinions. It is necessary to collectively analyze the results reported by different studies all over the world, reconcile these results, and make a holistic and unbiased conclusion regarding whether an NPI is worthwhile to take. To facilitate such studies, we develop a sentiment analysis dataset that contains 200 labeled sentences from recent literature about COVID 19. Each sentence contains one or more NPIs. Each NPI in a sentence is annotated with a sentiment: either positive or negative. "Positive" indicates the NPI is effective according to the study results and "negative" indicates that the NPI has no clear evidence to be worthwhile for taking. The dataset is available at https:/github.com/UCSD AI4H/COVID Nonpharmaceutical Interventions