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Journal articleRisk prediction models for cholera outbreak forecasting in Bangladesh: statistical, machine learning and deep…PLOS Neglected Tropical Diseases2025
Journal article ✓ Peer-reviewed Analysis 2025

Risk prediction models for cholera outbreak forecasting in Bangladesh: statistical, machine learning and deep learning compared

PLOS Neglected Tropical Diseases

2025Year
0Citations
12Authors
3Keywords
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TypeJournal article · peer-reviewed
TitleRisk prediction models for cholera outbreak forecasting in Bangladesh: statistical, machine learning and deep learning compared
JournalPLOS Neglected Tropical Diseases
Published2025
StatusAnalysis
Authors12 — Ghosh PK, Das S, Sagar MS, Hasan MM, Haq MZ, Al Amin M, Ara R, Sanyal N, Azad DT, Mizan A, Hanifi SMA, Jubaer, Al

Authors 12

SNSNSanyal NPrinted as Sultana N8
Sanyal N Printed as Sultana N 3 papers →
Jubaer, AlSenior Research Officer, Geospatial data science for health & climatePrinted as Al Jubaer12
Jubaer, Al Printed as Al Jubaer Senior Research Officer, Geospatial data science for health & climate Last authorMe 26 papers → Website

Cite this work

PK, G., S, D., Sagar, MM, H., MZ, H., M, A. A., R, A., N, S., DT, A., A, M., SMA, H., & Jubaer, A. (2025). Risk prediction models for cholera outbreak forecasting in Bangladesh: statistical, machine learning and deep learning compared. PLOS Neglected Tropical Diseases.

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