Developing and validating a clinical algorithm for the diagnosis of podoconiosis | Zendy

Kebede Deribe | Zendy; Lyndsey Florence | Zendy; Abebe Kelemework | Zendy; Tigist Getaneh | Zendy; Girmay Tsegay | Zendy; Jorge Cano | Zendy; Emanuele Giorgi | Zendy; Melanie J. Newport | Zendy; Gail Davey | Zendy

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Developing and validating a clinical algorithm for the diagnosis of podoconiosis

Author(s) -

Kebede Deribe,

Lyndsey Florence,

Abebe Kelemework,

Tigist Getaneh,

Girmay Tsegay,

Jorge Cano,

Emanuele Giorgi,

Melanie J. Newport,

Gail Davey

Publication year - 2020

Publication title -

transactions of the royal society of tropical medicine and hygiene

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.725

H-Index - 105

eISSN - 1878-3503

pISSN - 0035-9203

DOI - 10.1093/trstmh/traa074

Subject(s) - medicine , physical examination , confidence interval , psychological intervention , algorithm , lymphangitis , physical therapy , dermatology , psychiatry , computer science

Difficulties in reliably diagnosing podoconiosis have severely limited the scale-up and uptake of the World Health Organization-recommended morbidity management and disability prevention interventions for affected people. We aimed to identify a set of clinical features that, combined into an algorithm, allow for diagnosis of podoconiosis.

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