MODEL MATEMATIKA DARI DAMPAK NEGATIF KARANTINA COVID-19 TERHADAP PENYAKIT TUBERKULOSIS DAN DIABETES

• Main Author: Rizqina, Sila
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71404
• Institution: Institut Teknologi Bandung

COVID-19 has become a global pandemic and caused a high number of infections. To restrain corona virus spread, many countries have implemented lockdowns and regional quarantines. Health emergencies enforcement such as quarantines has a positive impact on reducing the infection, but it also has unwanted influences on other health sectors. Here, a mathematical model was developed COVID-19 transmission dynamic accommodating quarantine and including tuberculosis and diabetic people. This paper highlighted the potential negative impact induced by quarantine on the increasing number of people with tuberculosis and diabetes. The actual COVID-19 data recorded in Indonesia during Delta variant attack was well-approximated by the model output. A positive relationship is indicated by a high Pearson correlation coefficient, R=0.923353. By varying quarantine parameters value, it was found that quarantine effectively reduces the number of COVID-19 but induced an increasing number of tuberculosis and diabetic people. To minimize these negative impacts, increasing public awareness about the dangers of TB transmission and implementing a healthy lifestyle were considered the most effective strategies. The results presented in this study are potentially useful for the authorities to increase public awareness about TB transmission and to promote healthy lifestyles during the quarantine.