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Population pyramid and estimated deaths per 100,000 by sex ..:

Anthony Waruru (839238) ; Dickens Onyango (8195922) ; Lilly Nyagah (4326271)...
https://figshare.com/articles/figure/Population_pyramid_and_estimated_deaths_per_100_000_by_sex_and_age_Kisumu_County_Kenya_2019_/18797844. , 2022

Link: https://doi.org/10.1371/journal.pone.0261162.g002

RT Journal
T1 <Title>Population pyramid and estimated deaths per 100,000 by sex and age, Kisumu County, Kenya (2019)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18797844&Exemplar=1&LAN=DE
				
A1 Anthony Waruru (839238)
A1 Dickens Onyango (8195922)
A1 Lilly Nyagah (4326271)
A1 Alex Sila (11978889)
A1 Wanjiru Waruiru (11060493)
A1 Solomon Sava (11978892)
A1 Elizabeth Oele (11978895)
A1 Emmanuel Nyakeriga (11060490)
A1 Sheru W. Muuo (8748432)
A1 Jacqueline Kiboye (11978898)
A1 Paul K. Musingila (11978901)
A1 Marianne A. B. van der Sande (8662332)
A1 Thaddeus Massawa (11978904)
A1 Emily A. Rogena (4326259)
A1 Kevin M. DeCock (11978907)
A1 Peter W. Young (9234301)
YR 2022
K1 Medicine
K1 Neuroscience
K1 Cancer
K1 Infectious Diseases
K1 Virology
K1 Computational Biology
K1 reviewed medical charts
K1 higher among females
K1 236 )
K1 167
K1 gbd category ii
K1 unknown hiv status
K1 improving hiv outcomes
K1 hiv endemic setting
K1 unreliable mortality statistics
K1 epidemiologic transition suggests
K1 456 decedents admitted
K1 000 )
K1 followed
K1 gbd ii causes
K1 incorrectly recorded ucod
K1 xlink "> mortality
K1 high mortality rates
K1 cause mortality rate
K1 aids mortality rate
K1 1 %
K1 p
K1 1 %) died
K1 four leading ucod
K1 2019 )</ p
K1 compared ascertained ucod
K1 gbd iii causes
K1 mortality statistics
K1 xlink ">
K1 epidemiologic transition
K1 specific mortality
K1 ascertained causes
K1 ascertained ucod
K1 available recorded
K1 underlying causes
K1 leading causes
K1 establish ucod
K1 especially hiv
K1 ascertained systematically
K1 6 %)
K1 000 population
K1 wholly depend
K1 substantial inaccuracies
JF https://figshare.com/articles/figure/Population_pyramid_and_estimated_deaths_per_100_000_by_sex_and_age_Kisumu_County_Kenya_2019_/18797844
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0261162.g002
DO https://doi.org/10.1371/journal.pone.0261162.g002
SF ELIB - SuUB Bremen

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