Computerized intelligence and mathematical models for COVID-19 management: a short communication
International Journal of Travel Medicine and Global Health
; 11(1):194-199, 2023.
Article
in English
| CAB Abstracts | ID: covidwho-20235927
ABSTRACT
The onset of COVID- 19 pandemic has resulted in the transition from the conventional face to face health care strategies to computerized approaches, considering distances, the importance of quarantine, and early diagnosis and management. As far as the rapid management of the infection is concerned, telemedicine has been introduced as a beneficial approach. The use of telemedicine is thought to decrease the risk of cross contamination. Moreover, it provides the access to the health care for remote locations. The health care staff can use the computational analyses to get rapid access to the accurate epidemiological and laboratory data. The risk assessment provided by the mathematical models seems beneficial for decision-making in regards to the prognosis and management. We aimed to explore the breakthrough of telemedicine regarding the pandemic, also attempting to describe the related problems and challenges.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210]; Health Services [UU350]; Mathematics and Statistics [ZZ100]; Other Control Measures [HH700]; human diseases; coronavirus disease 2019; severe acute respiratory syndrome; viral diseases; artificial intelligence; mathematical models; quarantine; early diagnosis; telemedicine; access; health care; health services; epidemiology; accuracy; data analysis; decision making; risk assessment; man; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; SARS; viral infections; choice
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Type of study:
Prognostic study
/
Randomized controlled trials
Language:
English
Journal:
International Journal of Travel Medicine and Global Health
Year:
2023
Document Type:
Article
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