An Application of the Partially Observed Markov Process in the Analysis of Transmission Dynamics of COVID-19 via Wastewater
Systems and Information Engineering Design Symposium (IEEE SIEDS)
; : 134-139, 2021.
Article
in English
| Web of Science | ID: covidwho-1976120
ABSTRACT
As the ongoing outbreak of Coronavirus Disease 2019 (COVID-19) is severely affecting all over the world, analysis of the transmission of COVID-19 is of more and more interest. We focus on the application of compartmental models in the analysis of transmission of COVID-19 based on the detected viral load in wastewater and the reported number of cases. The measurement of COVID-19 RNA concentrations in primary sludge gives us information about the virus prevalence on a population level. Since the transmission of COVID-19 is a partially observed Markov process including different states, we consider a likelihood-based approach to our statistical inference to understand the inner relationship between different states and how COVID-19 actually transmits. Understanding the transmission dynamics of COVID-19 could give suggestions on public policies.
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Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
Systems and Information Engineering Design Symposium (IEEE SIEDS)
Year:
2021
Document Type:
Article
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