Multivariable binary logistic regression model for associated factors with Mycobacterium leprae infection Kwale county, Kenya.

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Xehetasun bibliografikoak
Egile nagusia:	Vallerian Karani (22683596) (author)
Beste egile batzuk:	Lameck Dierro (22683599) (author), Aiban Rono (11079636) (author), Martin Githiomi (6157487) (author), Wendy Rose Nkirote (22683602) (author), Rhoda Pola (22683605) (author), Stephen Joram Olubulyera (22683608) (author), James Marcomic Maragia (22683611) (author), Dominic Ongaki (22683614) (author), Fredrick Odhiambo (4435237) (author), Maurice Owiny (8496204) (author), Dickens Onyango (8195922) (author), Abade Ahmed (22683617) (author)
Argitaratua:	2025
Gaiak:	Medicine Cell Biology Biotechnology Developmental Biology Cancer Science Policy Infectious Diseases Virology Computational Biology stepwise backward elimination recently completed treatment global elimination target curable yet neglected bcg vaccination mark 11 &# 8211 10 &# 8211 infection among people independent risk factors 83 years ). mycobacterium leprae </ 9 per 1 71 &# 8211 18 &# 8211 16 &# 8211 000 new cases leprae </ &# 8804 among cases 54 years xlink "> study aimed social contacts reported globally mean age kwale county including patients fold increase final model factors associated despite maintaining descriptive analysis control study clinical signs categorical variables associated factors approximately 200 age group 65 cases 5 members 32 ), 3 %. 10000 population 000 population
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Multivariable binary logistic regression model for associated factors with <i>Mycobacterium leprae</i> infection Kwale county, Kenya.