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Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model

Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec82b37ba1bf4435a06e1cb12a1172fc

Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model

About this item

Full title

Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model

Publisher

England: BioMed Central Ltd

Journal title

BMC public health, 2023-12, Vol.23 (1), p.2521-2521, Article 2521

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Leptospirosis, a zoonotic disease, stands as one of the prevailing health issues in some tropical areas of Iran. Over a decade, its incidence rate has been estimated at approximately 2.33 cases per 10,000 individuals. Our research focused on analyzing the spatiotemporal clustering of Leptospirosis and developing a disease prevalence model as an ess...

Alternative Titles

Full title

Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ec82b37ba1bf4435a06e1cb12a1172fc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec82b37ba1bf4435a06e1cb12a1172fc

Other Identifiers

ISSN

1471-2458

E-ISSN

1471-2458

DOI

10.1186/s12889-023-17391-z

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