TY - JOUR
T1 - Can infectious modeling be applicable globally
T2 - Lessons from COVID-19
AU - Magana-Arachchi, Dhammika N.
AU - Wanigatunge, Rasika P.
AU - Vithanage, Meththika S.
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/12
Y1 - 2022/12
N2 - Contagious diseases are needed to be monitored to prevent spreading within communities. Timely advice and predictions are necessary to overcome the consequences of those epidemics. Currently, emphasis has been placed on computer modeling to achieve the needed forecasts, the best example being the COVID-19 pandemic. Scientists used various models to determine how diverse sociodemographic factors correlated and influenced COVID-19 Global transmission and demonstrated the utility of computer models as tools in disease management. However, as modeling is done with assumptions with set rules, calculating uncertainty quantification is essential in infectious modelling when reporting the results and trustfully describing the limitations. This article summarizes the infectious disease modeling strategies, challenges, and global applicability by focusing on the COVID-19 pandemic.
AB - Contagious diseases are needed to be monitored to prevent spreading within communities. Timely advice and predictions are necessary to overcome the consequences of those epidemics. Currently, emphasis has been placed on computer modeling to achieve the needed forecasts, the best example being the COVID-19 pandemic. Scientists used various models to determine how diverse sociodemographic factors correlated and influenced COVID-19 Global transmission and demonstrated the utility of computer models as tools in disease management. However, as modeling is done with assumptions with set rules, calculating uncertainty quantification is essential in infectious modelling when reporting the results and trustfully describing the limitations. This article summarizes the infectious disease modeling strategies, challenges, and global applicability by focusing on the COVID-19 pandemic.
KW - Basic reproduction number
KW - COVID-19
KW - Infectious diseases
KW - Infectious modeling
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=85142270791&partnerID=8YFLogxK
U2 - 10.1016/j.coesh.2022.100399
DO - 10.1016/j.coesh.2022.100399
M3 - Article
AN - SCOPUS:85142270791
SN - 2468-5844
VL - 30
JO - Current Opinion in Environmental Science and Health
JF - Current Opinion in Environmental Science and Health
M1 - 100399
ER -
