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Prevalence of NSSIs and characteristics of injured healthca..:

Zemene Berhan (11478319) ; Asmamaw Malede (5621819) ; Adinew Gizeyatu (10803645)...
https://figshare.com/articles/dataset/Prevalence_of_NSSIs_and_characteristics_of_injured_healthcare_workers_in_South_Gondar_Zone_hospitals_January_to_March_2019_/16678399. , 2021

Link: https://doi.org/10.1371/journal.pone.0252039.t005

RT Journal
T1 <Title>Prevalence of NSSIs and characteristics of injured healthcare workers in South Gondar Zone hospitals, January to March 2019</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16678399&Exemplar=1&LAN=DE
				
A1 Zemene Berhan (11478319)
A1 Asmamaw Malede (5621819)
A1 Adinew Gizeyatu (10803645)
A1 Tadesse Sisay (9267581)
A1 Mistir Lingerew (9267590)
A1 Helmut Kloos (81270)
A1 Mengesha Dagne (10090467)
A1 Mesfin Gebrehiwot (10090428)
A1 Gebremariam Ketema (10090437)
A1 Kassahun Bogale (10090443)
A1 Betelhiem Eneyew (9267584)
A1 Seada Hassen (10090461)
A1 Tarikuwa Natnael (10090458)
A1 Mohammed Yenuss (10090464)
A1 Leykun Berhanu (10090431)
A1 Masresha Abebe (10090434)
A1 Gete Berihun (10090455)
A1 Birhanu Wagaye (10803654)
A1 Kebede Faris (7217843)
A1 Awoke Keleb (9267587)
A1 Ayechew Ademas (9267578)
A1 Akalu Melketsadik Woldeyohanes (11478322)
A1 Alelgne Feleke (10090470)
A1 Tilaye Matebe Yayeh (10803657)
A1 Muluken Genetu Chanie (8321178)
A1 Amare Muche (9934233)
A1 Reta Dewau (10090425)
A1 Zinabu Fentaw (10105356)
A1 Wolde Melese Ayele (11210666)
A1 Wondwosen Mebratu (11478325)
A1 Bezawit Adane (9656453)
A1 Tesfaye Birhane Tegegne (10803648)
A1 Elsabeth Addisu (10803651)
A1 Mastewal Arefaynie (9656462)
A1 Melaku Yalew (9656450)
A1 Yitayish Damtie (9656456)
A1 Bereket Kefale (9656459)
A1 Zinet Abegaz Asfaw (11105597)
A1 Atsedemariam Andualem (10296977)
A1 Belachew Tegegne (10296983)
A1 Emaway Belay (11478328)
A1 Metadel Adane (4259167)
YR 2021
K1 Medicine
K1 Cell Biology
K1 Biotechnology
K1 Developmental Biology
K1 Infectious Diseases
K1 south gondar zone
K1 regular universal precautions
K1 monthly salary payroll
K1 daily clinical activities
K1 adjusted odds ratio
K1 >- value less
K1 18 &# 8211
K1 14 &# 8211
K1 13 &# 8211
K1 12 months prior
K1 10 &# 8211
K1 providing safety boxes
K1 eight hospitals found
K1 2 &# 8211
K1 factors significantly associated
K1 26 )
K1 disposal
K1 35 )
K1 recapping
K1 safety boxes
K1 associated factors
K1 56 )
K1 needle recapping
K1 factors related
K1 xlink ">
K1 well documented
K1 variable analysis
K1 three randomly
K1 suture needle
K1 sharp materials
K1 several studies
K1 sampling frame
K1 sample sizes
K1 proportionally allocated
K1 professional categories
K1 preventing sleepiness
K1 observing proper
K1 needle stick
K1 multivariable analysis
K1 feeling sleepy
K1 confidence interval
K1 collected using
K1 based cross
K1 almost one
K1 administered questionnaire
JF https://figshare.com/articles/dataset/Prevalence_of_NSSIs_and_characteristics_of_injured_healthcare_workers_in_South_Gondar_Zone_hospitals_January_to_March_2019_/16678399
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0252039.t005
DO https://doi.org/10.1371/journal.pone.0252039.t005
SF ELIB - SuUB Bremen

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