Predicting the Future of Achieving Herd Immunity in New York City
3rd International Symposium on Artificial Intelligence for Medical Sciences, ISAIMS 2022
; : 579-582, 2022.
Article
in English
| Scopus | ID: covidwho-2194150
ABSTRACT
COVID-19 has a huge impact on the economic and social development of the world. In this paper, a simulation model of virus transmission was developed using the netlogo platform based on the characteristics of humans developing acquired immunity to a virus they once had, and predicted the prospects of achieving herd immunity under two scenarios no vaccination and vaccination of a certain percentage of the population. The results show that failure to vaccinate leads to a longer duration of the outbreak, as well as an increase in the number of infected individuals and overall mortality. If vaccination is administered, the time to achieve herd immunity will be substantially reduced. © 2022 ACM.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
3rd International Symposium on Artificial Intelligence for Medical Sciences, ISAIMS 2022
Year:
2022
Document Type:
Article
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