Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

Abstract Introduction Sexually transmitted infections (STIs) are the major public health problem globally, affecting millions of people every day. The burden is high in the Sub-Saharan region, including Ethiopia. Besides, there is little evidence on the distribution of STIs across Ethiopian regions....

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Bibliographic Details
Main Authors: Abdul-Aziz Kebede Kassaw, Tesfahun Melese Yilma, Yakub Sebastian, Abraham Yeneneh Birhanu, Mequannent Sharew Melaku, Sebwedin Surur Jemal
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Infectious Diseases
Subjects:
Sexually transmitted infections
Spatial distribution
Machine learning
Prediction
Ethiopia
Online Access:https://doi.org/10.1186/s12879-023-07987-6

Internet

https://doi.org/10.1186/s12879-023-07987-6

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