Revealing Influences of Socioeconomic Factors over Disease Outbreaks
4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022
; Par F180472:490-512, 2022.
Article
in English
| Scopus | ID: covidwho-1950297
ABSTRACT
The recent Covid-19 pandemic elucidates the need for a better disease outbreak analysis and surveillance system, which can harness state-of-the-art data mining and machine learning techniques to produce better forecasting. In this regard, understanding the correlation between disease outbreaks and socioeconomic factors should pave the way for such systems by providing useful indicators, which are yet to be explored in the literature to the best of our knowledge. Therefore, in this study, we accumulated data on 72 infectious diseases and their outbreaks all over the globe over a period of 23 years as well as corresponding different socioeconomic data. We, then, performed point-biserial and spearman correlation analysis over the collected data. Our analysis of the obtained correlations demonstrates that various disease outbreak attributes are positively and negatively correlated with different socioeconomic indicators. For example, indicators such as lifetime risk of maternal death, adolescent fertility rate, etc., are positively correlated, while indicators such as life expectancy at birth, measles immunization, etc., are negatively correlated, with disease outbreaks that affect the digestive organ system. In this paper, we find and summarize the correlations between 126 outbreak attributes derived from the characteristics of the 72 diseases in consideration and 192 socioeconomic factors which is a novel contribution to the field of disease outbreak analysis and prediction. © 2022 ACM.
correlation; Disease outbreaks; Socioeconomic factors; Statistical analysis; Data mining; Digestive system; Diseases; Learning systems; Analysis system; Bi-serial correlation; Infectious disease; Machine learning techniques; Socio-economic data; Socio-economic factor; State of the art; Surveillance systems; Factor analysis
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS