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Existing frameworks for classifying endemicity and burden u..:

Dorcas O. Ogunsumi (11457986) ; Vivek Lal (3353246) ; Karl Philipp Puchner (11457989)...
https://figshare.com/articles/dataset/Existing_frameworks_for_classifying_endemicity_and_burden_using_pre-defined_levels_indicators_and_cut-offs_/16648847. , 2021

Link: https://doi.org/10.1371/journal.pntd.0009769.t001

RT Journal
T1 <Title>Existing frameworks for classifying endemicity and burden using pre-defined levels, indicators, and cut-offs</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16648847&Exemplar=1&LAN=DE
				
A1 Dorcas O. Ogunsumi (11457986)
A1 Vivek Lal (3353246)
A1 Karl Philipp Puchner (11457989)
A1 Wim van Brakel (155684)
A1 Eva-Maria Schwienhorst-Stich (6889409)
A1 Christa Kasang (345821)
A1 Joseph Chukwu (3502964)
A1 Saskia Kreibich (149521)
A1 Sandra Parisi (8203119)
A1 Jan Hendrik Richardus (7180829)
A1 David J. Blok (7411025)
YR 2021
K1 Medicine
K1 Pharmacology
K1 Biotechnology
K1 Science Policy
K1 Infectious Diseases
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 mycobacterium leprae </
K1 grade 2 disability
K1 low &# 8217
K1 high &# 8217
K1 standardized uniform approach
K1 make program planning
K1 identify relevant metrics
K1 classifying leprosy endemicity
K1 leprosy across countries
K1 systematic literature review
K1 burden across countries
K1 classify leprosy endemicity
K1 measure leprosy endemicity
K1 measuring endemicity levels
K1 across countries
K1 uniform approach
K1 systematic review
K1 classify endemicity
K1 leprosy endemicity
K1 &# 8216
K1 literature search
K1 leprosy lacks
K1 measuring endemicity
K1 xlink ">
K1 study aims
K1 seven databases
K1 scores would
K1 new cases
K1 national level
K1 mb cases
K1 include ncdr
K1 great variation
K1 findings contribute
K1 existing method
K1 evaluation difficult
K1 delphi survey
K1 classification levels
K1 available evidence
K1 ask experts
K1 189 globally
JF https://figshare.com/articles/dataset/Existing_frameworks_for_classifying_endemicity_and_burden_using_pre-defined_levels_indicators_and_cut-offs_/16648847
LK http://dx.doi.org/https://doi.org/10.1371/journal.pntd.0009769.t001
DO https://doi.org/10.1371/journal.pntd.0009769.t001
SF ELIB - SuUB Bremen

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