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Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services...

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b9426677ae3d46c680ffab4f904743f4

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya

About this item

Full title

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya

Publisher

New York: Hindawi

Journal title

Journal of probability and statistics, 2022-04, Vol.2022, p.1-10

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

Aim. This study aims to examine which factors influence the distance traveled by patients for inpatient care in Kenya. Methods. We used data from the fourth round of the Kenya Household Health Expenditure and Utilization survey. Our dependent variable was the self-reported distance traveled by patients to access inpatient care at public health faci...

Alternative Titles

Full title

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b9426677ae3d46c680ffab4f904743f4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b9426677ae3d46c680ffab4f904743f4

Other Identifiers

ISSN

1687-952X

E-ISSN

1687-9538

DOI

10.1155/2022/2706504

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