• ISSN: 2349-6002
  • UGC Approved Journal No 47859

Factors Affecting Cholera Disease and Its Machine Learning Solution: A Review

  • Unique Paper ID: 155370
  • Volume: 8
  • Issue: 10
  • PageNo: 20-24
  • Abstract:
  • The number of African countries reporting indigenous cholera cases as per the report of WHO increased from 24 in 1971 to 30 in 1998 and 36 in 2008, a new high. The latest 2018 cholera epidemic in Nigeria resulted in over 45 thousand cases and a Case Fatality Rate (CFR) of 1. In the year 2021, Nigeria reported a total of 93,362 suspected cholera cases, including 3,283 cholera-related deaths; the highest cases of cholera from the 32 states and the Federal Capital Territory. Cholera is one of the primary causes of morbidity and mortality in Nigeria, from small outbreaks to large epidemics. Because of the limited workforce in the Nigerian healthcare sector and the usage of manual methods, there is an urgent need to build a viable cholera prediction model for early warning mechanisms. This paper investigates the factors affecting the cholera disease within Nigeria and the machine learning solution to it.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 10
  • PageNo: 20-24

Factors Affecting Cholera Disease and Its Machine Learning Solution: A Review

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry