Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Okuto, Erick"'
Autor:
Kirungu, Joy Nyangasi, Magwanga, Richard Odongo, Shiraku, Margaret Linyerera, Okuto, Erick, Cai, Xiaoyan, Xu, Yanchao, Hou, Yuqing, Agong', Stephen Gaya, Wang, Kunbo, Wang, Yuhong, Zhou, Zhongli, Liu, Fang
Publikováno v:
Journal of Cotton Research; 10/8/2023, Vol. 6 Issue 1, p1-14, 14p
Publikováno v:
Public Health Research. 10:1-11
In Kenya, no studies have attempted to model alternative scenarios of the cost-implications of reaching universal coverage (i.e. 95% population coverage) of the existing maternity health services network at the ward administrative level. A cross-sect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ab408e5627d22eeed3a25856ef2e48d
https://doi.org/10.5923/j.phr.20201001.01
https://doi.org/10.5923/j.phr.20201001.01
Publikováno v:
American Journal of Geographic Information System. 9:1-12
In Kenya, no studies have attempted to use routine health facility data disaggregated by level of care, to find out if there is a significant statistical relationship between physical accessibility and utilization of maternity services at the ward ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd21ed2e7117b6ad68b5ac99ed63b5c
https://doi.org/10.5923/j.ajgis.20200901.01
https://doi.org/10.5923/j.ajgis.20200901.01
Akademický článek
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Publikováno v:
International Journal of Statistical Distributions and Applications. 7:13
Sample survey provides reliable current statistics for large areas or sub-population (domains) with large sample sizes. There is a growing demand for reliable small area statistics, however, the sample sizes are too small to provide direct (or area s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::982ffc563a914ec5682d7d71087338e4
https://doi.org/10.11648/j.ijsd.20210701.13
https://doi.org/10.11648/j.ijsd.20210701.13
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya. Long-term Earth observation based vegetation index records are used extensively to characterize the envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2600::52b368182dd784d5da513f4200cc3a84
http://hdl.handle.net/11071/11813
http://hdl.handle.net/11071/11813
Akademický článek
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Publikováno v:
PLoS ONE; Nov2012, Vol. 7 Issue 11, Special section p1-15, 15p