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Most tweets included images (59.31%) and hashtags (51.29%), but received little user engagement on the average post (average 4.38 likes and 1.94 retweets). CTSAs tweeted most from 10 a.m. to 12 p.m. PST and received the most engagement. Most CTSAs had a dedicated person (e.g., manager, coordinator) handling their communications. Our analysis shows multiple opportunities for CTSAs to engage with stakeholders and the public, as well as standardize and improve their Twitter communications to effectively reach a broader audience. Our analysi

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It has been unearthed in our study that CNN can provide robust long term forecasting results in time series analysis due to its capability of essential features learning, distortion invariance and temporal dependence learning. However, the prediction accuracy of LSTM algorithm has been found to be poor as it tries to discover seasonality and periodic intervals from any time series dataset, which were absent in our studied countries. Our study has highlighted the promising validation of using convolutional neural networks