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    题名 作者 年代 出处 被引量
1Cost and cost - effectiveness of community based and health facility based directly observed treatment of tuberculosis in Dares Salaam, Tanzania 显示文摘Eliud W Bjarne R Odd M Cost Effectiveness and Resource Allocation0,3,:1
2The Rac Inhibitor EHop-016 Inhibits Mammary Tumor Growth and Metastasis in a Nude Mouse Model显示文摘Linette Castillo-Pichardo Tessa Humphries-Bickley Columba De La Parra Ingrid Forestier-Roman Magaly Martinez-Ferrer Eliud Hernandez Cornelis Vlaar Yancy Ferrer-Acosta Anthony V. Washington Luis A. Cubano Jose Rodriguez-Orengo Suranganie Dharmawardhane 2014Translational Oncology2014,,:1
3Neutralizing antibodies are unable to inhibit direct viral cell-to-cell spread of human cytomegalovirus显示文摘Christian L. Jacob Louie Lamorte Eliud Sepulveda Ivo C. Lorenz Annick Gauthier Michael Franti 2013Virology2013,,:1
4Collaboration between the national tuberculosis programme and a non governmental organization in TB/HIV care at a district level:experience from Tanzania 显示文摘Eliud W Neema K Edith T 2004African Health Sciences2004,4,2:1
5Platelet verification under microscope calculated by the patient's hemoglobin factor显示文摘Sheila Lopez T Eliud Lopez V 2004Lab Med2004,7,:1
6National prevalence and risk factors for tungiasis in Kenya显示文摘Background Tungiasis is a highly neglected tropical skin disease caused by the sand flea,Tunga penetrans,the female of which burrows into the skin,causing pain and itching.The disease occurs throughout South America and sub-Saharan Africa but there are few systematic data on national disease burdens.The tungiasis research community is keen to develop survey methods to fill this gap.Here we used a school-based,thorough examination method to determine the prevalence and risk factors for tungiasis in Kenya.Methods We conducted the first nationally representative survey of tungiasis,including nine counties covering the major ecological zones of Kenya.A stratified multistage random sampling was used to select 22 primary schools from each of the nine counties and to select up to 114 pupils aged 8 to 14 years in each school.Pupils were examined thoroughly for tungiasis.Two surveys were conducted,the first between May and July 2021 and the second between October 2021 and April 2023 when pupils were also interviewed for risk factors.Mixed effect logistic regression models were used to test associations of independent variables with tungiasis using the school as a random effect.Results The overall prevalence of tungiasis in the first survey was 1.35%[95%confidence interval(CI):1.15-1.59%],and 0.89%in the second survey.The prevalence ranged from 0.08%(95%CI:0.01-0.59%)in Taita Taveta county to 3.24%(95%CI:2.35-4.44%)in Kajiado county.Tungiasis infection was associated with county of residence,male sex[adjusted odds ratio(aOR)=2.01,95%CI:1.52-2.67],and lower age(aOR=0.81,95%CI:0.75-0.88).For the first time we demonstrate an association with attending public schools rather than private schools(aOR=5.62,95%CI:1.20-26.22)and lower socioeconomic status(aOR=0.10,95%CI:0.03-0.33).Using a rapid screening method of the top of feet only,would have missed 62.9%of all cases,78.9%of mild cases and 20.0%of severe cases.Conclusions Tungiasis is widely but heterogeneously distributed across Kenya.School-based surveys offer an efficient strategy for mapping tungiasis distribution.Lynne Elson Christopher Kamau Sammy Koech Christopher Muthama George Gachomba Erastus Sinoti Elwyn Chondo Eliud Mburu Miriam Wakio Jimmy Lore Marta Maia Ifedayo Adetifa Benedict Orindi Phillip Bejon Ulrike Fillinger 2023Infectious Diseases of Poverty2023,12,5:0
7Implementation of IEEE802.11 (Wi-Fi)in NS-3显示文摘Eliud Momanyi Manyinsa 2016通讯和计算机(中英文版)2016,13,6:0
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