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Paul R. Klatser

Researcher at Royal Tropical Institute

Publications -  138
Citations -  5835

Paul R. Klatser is an academic researcher from Royal Tropical Institute. The author has contributed to research in topics: Mycobacterium leprae & Population. The author has an hindex of 42, co-authored 138 publications receiving 5472 citations. Previous affiliations of Paul R. Klatser include Universidade Federal de Goiás & University of Amsterdam.

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A guide to aid the selection of diagnostic tests.

TL;DR: This paper outlines a six-step guide to the selection and implementation of in vitro diagnostic tests based on Médecins Sans Frontières’ practical experience, and ways of improving the quality of diagnostic tests are suggested.
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Simple and fast lateral flow test for classification of leprosy patients and identification of contacts with high risk of developing leprosy.

TL;DR: The ML Flow test is a fast and easy-to-perform method for the detection of immunoglobulin M antibodies to PGL-I of M.leprae which does not require any special equipment, and the highly stable reagents make the test robust and suitable for use in tropical countries.
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Patient contact is the major determinant in incident leprosy: implications for future control.

TL;DR: This finding can be translated into a valuable and sustainable tool for leprosy control programs and elimination campaigns by focusing case detection and health promotion activities not only on household contacts but also on at least the neighbors of leproSy cases.
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Insufficient Fruit and Vegetable Intake in a Low- and Middle-Income Setting: A Population-Based Survey in Semi-Urban Tanzania

TL;DR: Public health interventions should target the socio-economically deprived and culturally-rooted preferences while prioritizing promotion of vegetable for most immediate gain in overall FV intake.
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Prospects for Clinical Application of Electronic-Nose Technology to Early Detection of Mycobacterium tuberculosis in Culture and Sputum

TL;DR: The ability of an electronic nose to detect M. tuberculosis in clinical specimens is shown and opens the way to making this method a rapid and automated system for the early diagnosis of respiratory infections.