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3篇 您的检索式:作者名="Robert Abaidoo"
    题名 作者 年代 出处 被引量
1Evaluating Added Benefits from Combined Cattle Manure and Fertilizer Application in a Maize Cropping System显示文摘Mavis Badu Brempong Andrews Opoku Nana Ewusi-Mensah Robert Clement Abaidoo 2017Journal of Environmental Science and Engineering(B)2017,6,1:0
2Enhancing Rice Productivity and Soil Nitrogen Using Dual-Purpose Cowpea-NERICARice Sequence in Degraded Savanna显示文摘Sylvester O. Oikeh Abibu Niang Robert Abaidoo Pascal Houngnandan Koichi Futakuchi Brahima Kone Amadu Toure 2012Journal of Life Sciences2012,6,11:0
3Probabilistic modeling for an integrated temporary acquired immunity with norovirus epidemiological data显示文摘Integration of acquired immunity into microbial risk assessment for illness incidence is of no doubt essential for the study of susceptibility to illness.In this study,a probabilistic model was set up as dose response for infection and a mathematical derivation was carried out by integrating immunity to obtain probability of illness models.Temporary acquire immunity from epidemiology studies which includes six different Norovirus transmission scenarios such as symptomatic individuals infectious,pre-and post-symptomatic infectiousness(low and high),innate genetic resistance,genogroup 2 type 4 and those with no immune boosting by asymptomatic infection were evaluated.Simulated results on illness inflation factor as a function of dose and exposure indicated that high frequency exposures had immense immunity build up even at high dose levels;hence minimized the probability of illness.Using Norovirus transmission dynamics data,results showed,and immunity included models had a reduction of 2e6 logs of magnitude difference in disease burden for both population and individual probable illness incidence.Additionally,the magnitude order of illness for each dose response remained largely the same for all transmission scenarios;symptomatic infectiousness and no immune boosting after asymptomatic infectiousness also remained the same throughout.With integration of epidemiological data on acquired immunity into the risk assessment,more realistic results were achieved signifying an overestimation of probable risk of illness when epidemiological immunity data are not included.This finding supported the call for rigorous integration of temporary acquired immunity in dose-response in all microbial risk assessments.Emmanuel de-Graft Johnson Owusu-Ansah Benedict Barnes Robert Abaidoo Hald Tine Anders Dalsgaard Anders Permin Torben Wilde Schou 2019Infectious Disease Modelling2019,4,1:0
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