2nd International Artificial Intelligence Health Congress 2021, İzmir, Türkiye, 16 - 18 Nisan 2021, ss.130
COVID-19, ARTIFICIAL INTELLIGENCE AND
WASTEWATER-BASED EPIDEMIOLOGY- REVIEW
Füsun Özyaman1
, Özlem Yılmaz1
1
Dokuz Eylül Üniversitesi, Tıp Fakültesi, Tıbbi Mikrobiyoloji,
İzmir, Turkey
Introduction, Purpose: SARS-CoV-2 (COVID-19) pandemic
has become a health emergency globally. Wastewater-based
epidemiology (WBE) and artificial intelligence (AI) help to
determine presence and concentration of COVID-19 at the
population in depth and real time and is effective in pandemics
management.
Method-Materials, Results: Population-wide data can help
in modeling COVID-19 pandemic and future outbreaks.
Computational analysis, modeling and simulations are used to
show the feasibility, advantages, disadvantages in COVID-19
infections using WBE and different variables. WBE is cheaper
and faster compared to the clinical screening, but WBE
cannot replace it. Data and analysis save money, can be used
worldwide and manages pandemic. Different simulation models
are developed to regulate undesired influences and to improve
monitoring the level of COVID-19 infection at the wastewater
treatment plants. Another AI model is used to predict, manage
and prevent risk of norovirus outbreaks. AI model for predicting
the levels of respiratory and fecal-oral transmission potentials
of COVID-19 was formed to show the disorder level of
nucleocapsid and membrane proteins and the hard coronavirus
outer shell is seen which can shed high numbers of virus.
Wastewater surveillance by droplet digital-PCR quantifies
coronavirus without large sequencing, can identify outbreaks
before they occur and can be used in transport industry and on
campuses to monitor transmission.
Conclusion: In this review early detection of the pandemic
by using AI and WBE for the effective management of the
pandemic and for protection of the public health, coronavirus
detection and quantification in wastewater and suggestions for
improvement is overviewed.