## 4 Results  
After the data collection from Twitter social media, the program developed in R programming language was used to process and analyze the content. The entire dataset was divided into three parts: April 2021, May 2021, and June 2021, based on the months of tweets tweeted by social media users. The analysis was made using month-long datasets to identify the variations in social media users' tweeting patterns (capability and awareness) concerning infectious disease and disability. Different emotions together with the frequency of occurrence in tweets are provided in Figure 1a. The analysis is made for eight basic and two sentimental emotions. 132.55K (132.55 thousand) tweets possess overall positive emotions and 81.86K tweets contain negative emotions. Most of the tweets (73.30K) contain basic emotional trust and depict the confidence of the social media users during the infectious disease. The next highest (59.29K) exhibited the emotion that fear is unpleasant and depicted a panic response to the incident. The anticipation emotion that hopes for the future was contained in 57.77K tweets. Sorrow was depicted through the emotion of sadness in 42.61K tweets. There were 34.39K tweets containing the emotion of joy, which depicts pleasure. There were 30.17K tweets containing the necessary emotion of anger. There were 23,600 tweets depicting the emotional shock caused by the unexpected occurrence of an incident. The least-depicted emotion was disgust, which appeared in 18.44K tweets. The most frequent words concerning different emotions are shown in Figure 2. For brevity, only five frequent words are mentioned to represent each emotion. Emotion anticipation is mostly depicted through the frequent words time, public, tomorrow, long, and watch. Fight, strike, destruct, court, and demolish are frequent words used to show anger emotion. The emotion of trust is depicted through vaccine, mask, wear, nation, and team words. The frequent words good, highest, hope, urgent, and case show surprise emotion. The emotion of sadness is shown by using the words pandemic, hospital, blood, and plasma. Safe, stay, happiness, share and save are the words used to exhibit the emotion of joy. The emotion of fear is shown through words such as governance, risk, spike, infect and spread. Disgust is depicted through death, disease, sick, which are both negative and positive frequent words. Figure 1: Emotions during infectious disease. Different emotions along with the frequency of occurrence in tweets of May 2021 are provided in Figure 1b. In this, 147.97K tweets contain overall positive emotions and 89.54K tweets contain negative emotions. Most of the tweets (87.08K) contain basic emotional trust and depict the confidence of the social media users during the infectious disease. The emotion of fear is exhibited through 68.10K tweets to depict a feeling of panic about the situation. The anticipation emotion is contained in 64.51K tweets. The sadness emotion occurred in 48.07K tweets to depict sorrow. The emotion of joy occurred in 40.87K tweets. Anger appeared in 34.18K tweets. Surprise was depicted in 25.97K tweets. The least depicted emotion, disgust, appeared in 20.43K tweets. The most frequent words for emotions in May 2021 are shown in Figure 3. The emotion of anticipation is depicted through time, public, tomorrow, long, and watch as frequent words. Fight, jab, hit, court, and battle are frequent words used to show anger. Trust is depicted through words such as mask, import, oxygen, wear, and team. The frequent words good, hope, shot, urgent, and highest show the emotion of surprise. The emotion of sadness is shown through words such as pandemic, case, hospital, blood, and plasma. As in April 2021, safe, stay, happiness, share and save are used to exhibit the emotion of joy. The emotion of fear is shown through the words governance, quarantine, infect, and spread. The emotion of disgust is depicted through death, disease, fungus, suffering, and other frequent negative words.