65 results on '"Olumide S."'
Search Results
2. Peanut response to 2,4-D plus glyphosate
- Author
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Olumide S. Daramola, Prasanna Kharel, Joseph E. Iboyi, and Pratap Devkota
- Subjects
Plant Science ,Agronomy and Crop Science - Abstract
The commercialization of crops that are resistant to 2,4-D plus glyphosate provided an opportunity to growers to apply the herbicide postemergence. However, the potential drift injury of these herbicides to peanuts grown near crops that are resistant to 2,4-D plus glyphosate is concerning. Field experiments were conducted in 2019 and 2020 to evaluate peanut response when exposed at 25, 50, and 75 d after planting (DAP) corresponding to vegetative, flowering, and pod development stages, respectively, to reduced rates of 1/512×, 1/128×, 1/32×, and 1/8× of the labeled rate of 2,4-D plus glyphosate (i.e., 1,077 + 1,132 g ae ha−1, respectively). 2,4-D plus glyphosate was more injurious to peanuts when exposed at 25 DAP compared with 50 and 75 DAP. Similarly, greater canopy height (12%) and canopy width (16%) reductions were observed at 25 DAP compared with 50 and 75 DAP exposure timings (3% to 9%). This result indicates that peanut is more sensitive to 2,4-D plus glyphosate exposure at the vegetative growth stage than at the flowering and pod development stages. However, yield reductions (13% to 16%) were not different between 25, 50, or 75 DAT exposure timings. Regression analysis indicated a linear response for peanut injury, canopy height, width, and yield reduction with an increasing rate of 2,4-D plus glyphosate. The highest rate of 2,4-D plus glyphosate (1/8× of the label rate) resulted in 38%, 22%, and 23% peanut injury, canopy height, and width reduction at 4 wk after treatment, and 33% yield reduction. There was a correlation between peanut injury and yield reduction, with Pearson’s rho values ranging from 0.70 to 0.73. The findings suggest that peanut injury rating data after 2,4-D plus glyphosate drift can be useful for estimating potential yield losses.
- Published
- 2023
3. Spray water quality and herbicide performance: a review
- Author
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Olumide S. Daramola, William G. Johnson, David L. Jordan, Gurinderbir S. Chahal, and Pratap Devkota
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Plant Science ,Agronomy and Crop Science - Abstract
Water is the primary carrier for herbicide applications. Spray water qualities such as pH, hardness, temperature, or turbidity can influence herbicide performance and may need to be amended for optimum weed control. Water quality factors can affect herbicide activity by reducing solubility, enhancing degradation in the spray tank, or forming herbicide-salt complexes with mineral cations, thereby reducing the absorption, translocation, and subsequent weed control. The available literature suggests that the effect of water quality varies with herbicide chemistry and weed species. The efficacy of weak-acid herbicides such as glyphosate, glufosinate, clethodim, sethoxydim, bentazon, and 2,4-D is improved with acidic water pH; however, the efficacy of sulfonylurea herbicides is negatively impacted. Hard-water antagonism is more prevalent with weak-acid herbicides, and trivalent cations are the most problematic. Spray solution temperature between 18 C and 44 C is optimum for some weak-acid herbicides; however, their efficacy can be reduced at relatively low (5 C) or high (56 C) water temperature. The effect of water turbidity is severe on cationic herbicides such as paraquat and diquat, and herbicides with low soil mobility such as glyphosate. Although adjuvants are recommended to overcome the negative effect of spray water hardness or pH, the response has been inconsistent with the herbicide chemistry and weed species. Moreover, information on the effect of spray water quality on various herbicide chemistries, weed species, and adjuvants is limited; therefore, it is difficult to develop guidelines for improving weed control efficacy. Further research is needed to determine the effect of spray water factors and develop specific recommendations for improving herbicide efficacy on problematic weed species.
- Published
- 2022
4. Knowledge, Attitude, and Perception of Health and Non-Healthcare Workers Towards COVID-19 Vaccination: Machine Learning Approach
- Author
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Olumide S. Adesina, Adedayo F. Adedotun, Daniel S. Oladepo, and Tolulope F. Adesina
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Renewable Energy, Sustainability and the Environment ,Geography, Planning and Development ,Management, Monitoring, Policy and Law - Abstract
There have been concerns globally as to whether taking COVID-19 vaccination is harmful or not. In this study, we conducted an online survey to measure the knowledge and attitude of people, first about COVID-19, and second about COVID-19 vaccination—various analyses such as descriptive statistics, logistic regression, and support vector regression with k-fold cross-validation. The support vector machine and tuned support vector machine suggest a better fit based on cross-validation error. The results show that immigration requirements significantly explain why an individual would accept the COVID-19 vaccine. This study suggests that people in authority should look into people's concerns regarding taking the COVID-19 vaccine and address them accordingly. The study aims to draw the attention of the people to the concern that surrounds taking COVID-19 vaccination and explored various statistical techniques to draw inference.
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- 2022
5. Resource mobilisation, institution and inclusive growth in Africa: Evidence from spatial analysis
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Opeoluwa Adeniyi Adeosun, Olumide S. Ayodele, Mosab I. Tabash, and Suhaib Anagreh
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Economics and Econometrics - Published
- 2022
6. Count Models Analysis of Factors Associated with Road Accidents in Nigeria
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Adedayo F. Adedotun, Olumide S. Adesina, Olanrewaju K. Onasanya, Edeki S. Onos, and Odekina G. Onuche
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Safety, Risk, Reliability and Quality ,General Environmental Science - Abstract
The current state of all Nigerian roads is in poor condition, and reports of accidents have been recorded across the federation. The larger mission of the sustainable development goal is to promote sustainable cities and communities. This research study aims to examine factors responsible for road accidents in Nigeria through the quantitative tool of higher extensions of the Poisson regression model (ZTNPRM). A cross-sectional study design was adopted and secondary data was used within a sample period from the 1st quarter of 2006 to the 2nd quarter of 2020. Due to overdispersion, ZTNPRM indicates human errors contribute to a large proportion (41.4%) of road accidents. Vehicle factors are also statistically and positively related to road accidents. All the factors this model identified that lead to road accidents predicted low road accidents. Hence, the study recommends that Nigerian car users follow all rules and regulations associated with safe driving and make the environment safer for people as the sustainable development goal (SDGs). This study recommends more attention to the area of accident and injury prevention as a strategic objective of the SDGs.
- Published
- 2022
7. Response of Peanut ( Arachis hypogaea L.) to Sublethal Rates of Dicamba plus Glyphosate at Different Growth Stages
- Author
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Olumide S. Daramola, Prasanna Kharel, Joseph E. Iboyi, and Pratap Devkota
- Subjects
Agronomy and Crop Science - Published
- 2023
8. E-payment Challenges: The Genesis and Remedies to the Problem
- Author
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Oluwabunmi. O. Olaniyan, Olumide, S. Adesina, and Daniel, S. Oladepo
- Abstract
Switching between internet solutions in an organization can be challenging, mainly if it affects the core operations and running of the organizations, such as e-payment. It becomes problematic when the role of e-government is not properly considered in an organization. In this study, the school fees e-payment project of a Nigerian University and the losses incurred due to the lack of incorporation of ICT- government into the e-payment process was evaluated. This study recommends good outsourcing, corporate and ICT governance practices such as the incorporation of frameworks like the Control Objectives for Information and Related Technology (COBIT) and IT Infrastructure Library (ITIL), can be integrated to minimize such problems. This would help any University to avert likely losses.
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- 2022
9. Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
- Author
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Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina, Oluwole A. Odetunmibi, and Onuche G. Odekina
- Subjects
Renewable Energy, Sustainability and the Environment ,Geography, Planning and Development ,Management, Monitoring, Policy and Law - Abstract
The use of hard drugs (Alcohol, cocaine and Nicotine) has remained the censorious issue globally and in Nigeria. The use of hard drugs and tobacco smoking is common in the stage of adolescence and youth life, which is a deterrent to education and career advancement. Hence, this study looks into socio-demographic factors that influence the use of hard drugs and tobacco smoking among teenagers between the ages of 15 years to 19 years. To achieve this objective, a cross-sectional data was used and a secondary data was obtained from DHS - National Demographic and Health Surveys (NDHS) from the survey year 2018. Some Bayesian models were developed and Conditional Autoregressive (CAR) model with random walk 1 (RW1) was the best model. The study unveiled a positive significant association of settlement, previous place of residence, education attainment, religion, ethnicity, literacy with reported use of hard drugs amongst teenagers of reproductive age.
- Published
- 2022
10. Bayesian Multilevel Models for Count Data
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Olumide S. Adesina
- Subjects
Count Data, Health, Insurance, Dispersion, Multilevel Models ,Physics ,QC1-999 ,General Mathematics ,Multilevel model ,Posterior probability ,Bayesian probability ,General Physics and Astronomy ,General Chemistry ,Poisson distribution ,Data set ,symbols.namesake ,Statistics ,symbols ,Poisson regression ,Mathematics ,Weibull distribution ,Count data - Abstract
The traditional Poisson regression model for fitting count data is considered inadequate to fit over-or under-dispersed count data and new models have been developed to make up for such inadequacies inherent in the model. In this study, Bayesian Multi-level model was proposed using the No-U-Turn Sampler (NUTS) sampler to sample from the posterior distribution. A simulation was carried out for both over-and under-dispersed data from discrete Weibull distribution. Pareto k diagnostics was implemented, and the result showed that under-dispersed and over-dispersed simulated data has all its k value to be less than 0.5, which indicate that all the observations are good. Also all WAIC were the same as LOO-IC except for Poisson in the over-dispersed simulated data. Real-life data set from National Health Insurance Scheme (NHIS) was used for further analysis. Seven multi-level models were f itted and the Geometric model outperformed other model.
- Published
- 2021
11. Variability and inheritance in macadamia progenies to Phytophthora cinnamomi and P. multivora the causal agents of root rot and stem canker
- Author
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Olufemi A. Akinsanmi, Olumide S. Jeff-Ego, Andre Drenth, Bruce Topp, and J. Henderson
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Canker ,biology ,Inoculation ,fungi ,food and beverages ,Soil Science ,Plant Science ,Phytophthora cinnamomi ,Heritability ,biology.organism_classification ,medicine.disease ,Horticulture ,Seedling ,Root rot ,medicine ,Phytophthora ,Cultivar - Abstract
Phytophthora species cause root rot and stem canker in macadamia, resulting in yield reduction and tree death. Differences in disease severity between trees in commercial orchards may be attributed to genetic factors and stochastic variation. Here we examined variability in half-sib, open-pollinated macadamia seedling progenies and their maternal parents to Phytophthora stem, root and leaf infections. Open-pollinated seeds were obtained from trees of five commercial macadamia cultivars. Leaves were obtained from the same trees from which the seeds were collected. Leaf, stem and roots were inoculated separately with P. multivora and P. cinnamomi using in vivo and in planta assays. Disease severity parameters were obtained from the pathogen-inoculated plants and compared with the control plants. Both Phytophthora species caused varied levels of leaf lesion, stem canker and root rot in the macadamia cultivars. Root infections by P. cinnamomi were more severe than P. multivora, whereas, stem infections by both Phytophthora species were similar. A moderate to high narrow-sense heritability (h2) were estimated for root efficiency loss by P. cinnamomi (0.60–0.76) and P. multivora (0.36–0.69), which were higher than the combined h2 estimates for both Phytophthora species. The differential interaction of the disease severity parameters for P. multivora and P. cinnamomi suggests variation in their resistance mechanism(s) in macadamia.
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- 2021
12. Resistance in wild macadamia germplasm to Phytophthora cinnamomi and Phytophthora multivora
- Author
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Andre Drenth, Olufemi A. Akinsanmi, Bruce Topp, Julianne Henderson, and Olumide S. Jeff-Ego
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0106 biological sciences ,Canker ,Germplasm ,biology ,Resistance (ecology) ,Breeding program ,food and beverages ,04 agricultural and veterinary sciences ,Phytophthora cinnamomi ,biology.organism_classification ,medicine.disease ,01 natural sciences ,Horticulture ,Genotype ,040103 agronomy & agriculture ,Root rot ,medicine ,0401 agriculture, forestry, and fisheries ,Phytophthora ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
The four Macadamia species (M. integrifolia, M. tetraphylla, M. ternifolia and M. jansenii) occur naturally in the wild in fragmented habitats in Australia and there is limited information on their vulnerability to pathogens including species of the genus Phytophthora. Macadamias in commercial orchards are affected by P. cinnamomi and P. multivora causing stem canker and root rot. Wild germplasm is often regarded as sources of resistance in macadamia breeding program. We assessed the performance of 152 trees of wild macadamia genotypes in the field using a Phytophthora disease severity rating scale and used in vivo leaf assay to examine their susceptibility to P. cinnamomi and P. multivora. Macadamia ternifolia trees showed the highest Phytophthora disease severity compared with the other species. In the in vivo trial, there were significant variations in disease severity among the genotypes within each Macadamia species. Comparison of the mean leaf lesion area of the Macadamia spp. showed that M. tetraphylla and M. jansenii were the most resistant to P. cinnamomi, whereas, M. ternifolia and M. jansenii followed by M. tetraphylla had the least disease severity to P. multivora. The quantitative variations among the genotypes with strong differential effects resulted in demarcation of the wild genotypes into three resistance groups. Overall, a total of 14 M. tetraphylla and two M. integrifolia genotypes were identified as resistant to both P. cinnamomi and P. multivora in the in vivo assay. This article is protected by copyright. All rights reserved.
- Published
- 2021
13. Prevalence and risk factors for Enterobacteriaceae in patients hospitalized with community-acquired pneumonia
- Author
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Villafuerte D., Aliberti S., Soni N. J., Faverio P., Marcos P. J., Wunderink R. G., Rodriguez A., Sibila O., Sanz F., Martin-Loeches I., Menzella F., Reyes L. F., Jankovic M., Spielmanns M., Restrepo M. I., Aruj P. K., Attorri S., Barimboim E., Caeiro J. P., Garzon M. I., Cambursano V. H., Ceccato A., Chertcoff J., Cordon Diaz A., de Vedia L., Ganaha M. C., Lambert S., Lopardo G., Luna C. M., Malberti A. G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P. G., Stagnaro J. P., Shah S., Lotsch F., Thalhammer F., Anseeuw K., Francois C. A., Van Braeckel E., Vincent J. L., Djimon M. Z., Nouer S. A., Chipev P., Encheva M., Miteva D., Petkova D., Balkissou A. D., Yone E. W. P., Ngahane B. H. M., Shen N., Xu J. -F., Rico C. A. B., Buitrago R., Paternina F. J. P., Ntumba J. -M. K., Carevic V. V., Jakopovic M., Matkovic Z., Mitrecic I., Jacobsson M. -L. B., Christensen A. B., Heitmann Bodtger U. C., Meyer C. N., Jensen A. V., El-Said Abd El-Wahhab I., Morsy N. E., Shafiek H., Sobh E., Abdulsemed K. A., Bertrand F., Brun-Buisson C., Montmollin E. D., Fartoukh M., Messika J., Tattevin P., Khoury A., Ebruke B., Dreher M., Kolditz M., Meisinger M., Pletz M. W., Hagel S., Rupp J., Schaberg T., Creutz P., Suttorp N., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Kaimakamis E., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P. A., Mahesh P. A., Jayaraj B. S., Narayan K. V., Udnur H. B., Krishnamurthy S. B., Kant S., Swarnakar R., Limaye S., Salvi S., Golshani K., Keatings V. M., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., Monforte A. D., Prato B. D., Rosa M. D., Fantini R., Fiorentino G., Gammino M. A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Franzetti F., Carone M., Patella V., Scarlata S., Comel A., Kurahashi K., Bacha Z. A., Ugalde D. B., Zuniga O. C., Villegas J. F., Medenica M., van de Garde E. M. W., Mihsra D. R., Shrestha P., Ridgeon E., Awokola B. I., Nwankwo O. N. O., Olufunlola A. B., Olumide S., Ukwaja K. N., Irfan M., Minarowski L., Szymon S., Froes F., Leuschner P., Meireles M., Ravara S. B., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Dorobat C. M., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z. A. A., Edathodu J., Fathy A., Enani A. M. A., Mohamed N. E., Memon J. U., Bella A., Bogdanovic N., Milenkovic B., Pesut D., Borderias L., Garcia N. M. B., Cabello Alarcon H., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A. E., Fernandez-Almira M. L., Gallego M., Gaspar-Garcia I., Castillo J. G. D., Victoria P. J., Laserna Martinez E., Molina R. M. D., Menendez R., Pando-Sandoval A., Aymerich C. P., Rello J., Moyano S., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J. F. M., Torra E. V., Pujol J. A., Feldman C., Yum H. K., Fiogbe A. A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D. J., Feneley A., Hancock C., Hill A. T., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Youzguin A., Singanayagam A., Allen K. S., Brito V., Dietz J., Dysart C. E., Kellie S. M., Franco-Sadud R. A., Meier G., Gaga M., Holland T. L., Bergin S. P., Kheir F., Landmeier M., Lois M., Nair G. B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Noda J., Hinojosa C. I., Levine S. M., Angel L. F., Anzueto A., Whitlow K. S., Hipskind J., Sukhija K., Totten V., Shah R. D., Mateyo K. J., Noriega L., Alvarado E., Aman M., Labra L., Villafuerte, D, Aliberti, S, Soni, N, Faverio, P, Marcos, P, Wunderink, R, Rodriguez, A, Sibila, O, Sanz, F, Martin-Loeches, I, Menzella, F, Reyes, L, Jankovic, M, Spielmanns, M, Restrepo, M, Aruj, P, Attorri, S, Barimboim, E, Caeiro, J, Garzon, M, Cambursano, V, Ceccato, A, Chertcoff, J, Cordon Diaz, A, de Vedia, L, Ganaha, M, Lambert, S, Lopardo, G, Luna, C, Malberti, A, Morcillo, N, Tartara, S, Pensotti, C, Pereyra, B, Scapellato, P, Stagnaro, J, Shah, S, Lotsch, F, Thalhammer, F, Anseeuw, K, Francois, C, Van Braeckel, E, Vincent, J, Djimon, M, Nouer, S, Chipev, P, Encheva, M, Miteva, D, Petkova, D, Balkissou, A, Yone, E, Ngahane, B, Shen, N, Xu, J, Rico, C, Buitrago, R, Paternina, F, Ntumba, J, Carevic, V, Jakopovic, M, Matkovic, Z, Mitrecic, I, Jacobsson, M, Christensen, A, Heitmann Bodtger, U, Meyer, C, Jensen, A, El-Said Abd El-Wahhab, I, Morsy, N, Shafiek, H, Sobh, E, Abdulsemed, K, Bertrand, F, Brun-Buisson, C, Montmollin, E, Fartoukh, M, Messika, J, Tattevin, P, Khoury, A, Ebruke, B, Dreher, M, Kolditz, M, Meisinger, M, Pletz, M, Hagel, S, Rupp, J, Schaberg, T, Creutz, P, Suttorp, N, Siaw-Lartey, B, Dimakou, K, Papapetrou, D, Tsigou, E, Ampazis, D, Kaimakamis, E, Bhatia, M, Dhar, R, D'Souza, G, Garg, R, Koul, P, Mahesh, P, Jayaraj, B, Narayan, K, Udnur, H, Krishnamurthy, S, Kant, S, Swarnakar, R, Limaye, S, Salvi, S, Golshani, K, Keatings, V, Maor, Y, Strahilevitz, J, Battaglia, S, Carrabba, M, Ceriana, P, Confalonieri, M, Monforte, A, Prato, B, Rosa, M, Fantini, R, Fiorentino, G, Gammino, M, Milani, G, Nava, S, Palmiero, G, Petrino, R, Gabrielli, B, Rossi, P, Sorino, C, Steinhilber, G, Zanforlin, A, Franzetti, F, Carone, M, Patella, V, Scarlata, S, Comel, A, Kurahashi, K, Bacha, Z, Ugalde, D, Zuniga, O, Villegas, J, Medenica, M, van de Garde, E, Mihsra, D, Shrestha, P, Ridgeon, E, Awokola, B, Nwankwo, O, Olufunlola, A, Olumide, S, Ukwaja, K, Irfan, M, Minarowski, L, Szymon, S, Froes, F, Leuschner, P, Meireles, M, Ravara, S, Brocovschii, V, Ion, C, Rusu, D, Toma, C, Chirita, D, Dorobat, C, Birkun, A, Kaluzhenina, A, Almotairi, A, Bukhary, Z, Edathodu, J, Fathy, A, Enani, A, Mohamed, N, Memon, J, Bella, A, Bogdanovic, N, Milenkovic, B, Pesut, D, Borderias, L, Garcia, N, Cabello Alarcon, H, Cilloniz, C, Torres, A, Diaz-Brito, V, Casas, X, Gonzalez, A, Fernandez-Almira, M, Gallego, M, Gaspar-Garcia, I, Castillo, J, Victoria, P, Laserna Martinez, E, Molina, R, Menendez, R, Pando-Sandoval, A, Aymerich, C, Rello, J, Moyano, S, Rodrigo-Troyano, A, Sole-Violan, J, Uranga, A, van Boven, J, Torra, E, Pujol, J, Feldman, C, Yum, H, Fiogbe, A, Yangui, F, Bilaceroglu, S, Dalar, L, Yilmaz, U, Bogomolov, A, Elahi, N, Dhasmana, D, Feneley, A, Hancock, C, Hill, A, Rudran, B, Ruiz-Buitrago, S, Campbell, M, Whitaker, P, Youzguin, A, Singanayagam, A, Allen, K, Brito, V, Dietz, J, Dysart, C, Kellie, S, Franco-Sadud, R, Meier, G, Gaga, M, Holland, T, Bergin, S, Kheir, F, Landmeier, M, Lois, M, Nair, G, Patel, H, Reyes, K, Rodriguez-Cintron, W, Saito, S, Noda, J, Hinojosa, C, Levine, S, Angel, L, Anzueto, A, Whitlow, K, Hipskind, J, Sukhija, K, Totten, V, Shah, R, Mateyo, K, Noriega, L, Alvarado, E, Aman, M, Labra, L, University of St Andrews. Infection Group, University of St Andrews. School of Medicine, University of St Andrews. Infection and Global Health Division, Villafuerte D., Aliberti S., Soni N.J., Faverio P., Marcos P.J., Wunderink R.G., Rodriguez A., Sibila O., Sanz F., Martin-Loeches I., Menzella F., Reyes L.F., Jankovic M., Spielmanns M., Restrepo M.I., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Garzon M.I., Cambursano V.H., Ceccato A., Chertcoff J., Cordon Diaz A., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Shah S., Lotsch F., Thalhammer F., Anseeuw K., Francois C.A., Van Braeckel E., Vincent J.L., Djimon M.Z., Nouer S.A., Chipev P., Encheva M., Miteva D., Petkova D., Balkissou A.D., Yone E.W.P., Ngahane B.H.M., Shen N., Xu J.-F., Rico C.A.B., Buitrago R., Paternina F.J.P., Ntumba J.-M.K., Carevic V.V., Jakopovic M., Matkovic Z., Mitrecic I., Jacobsson M.-L.B., Christensen A.B., Heitmann Bodtger U.C., Meyer C.N., Jensen A.V., El-Said Abd El-Wahhab I., Morsy N.E., Shafiek H., Sobh E., Abdulsemed K.A., Bertrand F., Brun-Buisson C., Montmollin E.D., Fartoukh M., Messika J., Tattevin P., Khoury A., Ebruke B., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Creutz P., Suttorp N., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Kaimakamis E., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Kant S., Swarnakar R., Limaye S., Salvi S., Golshani K., Keatings V.M., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., Monforte A.D., Prato B.D., Rosa M.D., Fantini R., Fiorentino G., Gammino M.A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Franzetti F., Carone M., Patella V., Scarlata S., Comel A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Mihsra D.R., Shrestha P., Ridgeon E., Awokola B.I., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymon S., Froes F., Leuschner P., Meireles M., Ravara S.B., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Dorobat C.M., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z.A.A., Edathodu J., Fathy A., Enani A.M.A., Mohamed N.E., Memon J.U., Bella A., Bogdanovic N., Milenkovic B., Pesut D., Borderias L., Garcia N.M.B., Cabello Alarcon H., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., Fernandez-Almira M.L., Gallego M., Gaspar-Garcia I., Castillo J.G.D., Victoria P.J., Laserna Martinez E., Molina R.M.D., Menendez R., Pando-Sandoval A., Aymerich C.P., Rello J., Moyano S., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F.M., Torra E.V., Pujol J.A., Feldman C., Yum H.K., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Feneley A., Hancock C., Hill A.T., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Youzguin A., Singanayagam A., Allen K.S., Brito V., Dietz J., Dysart C.E., Kellie S.M., Franco-Sadud R.A., Meier G., Gaga M., Holland T.L., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Anzueto A., Whitlow K.S., Hipskind J., Sukhija K., Totten V., Shah R.D., Mateyo K.J., Noriega L., Alvarado E., Aman M., Labra L., Villafuerte, D., Aliberti, S., Soni, N. J., Faverio, P., Marcos, P. J., Wunderink, R. G., Rodriguez, A., Sibila, O., Sanz, F., Martin-Loeches, I., Menzella, F., Reyes, L. F., Jankovic, M., Spielmanns, M., Restrepo, M. I., Aruj, P. K., Attorri, S., Barimboim, E., Caeiro, J. P., Garzon, M. I., Cambursano, V. H., Ceccato, A., Chertcoff, J., Cordon Diaz, A., de Vedia, L., Ganaha, M. C., Lambert, S., Lopardo, G., Luna, C. M., Malberti, A. G., Morcillo, N., Tartara, S., Pensotti, C., Pereyra, B., Scapellato, P. G., Stagnaro, J. P., Shah, S., Lotsch, F., Thalhammer, F., Anseeuw, K., Francois, C. A., Van Braeckel, E., Vincent, J. L., Djimon, M. Z., Nouer, S. A., Chipev, P., Encheva, M., Miteva, D., Petkova, D., Balkissou, A. D., Yone, E. W. P., Ngahane, B. H. M., Shen, N., Xu, J. -F., Rico, C. A. B., Buitrago, R., Paternina, F. J. P., Ntumba, J. -M. K., Carevic, V. V., Jakopovic, M., Matkovic, Z., Mitrecic, I., Jacobsson, M. -L. B., Christensen, A. B., Heitmann Bodtger, U. C., Meyer, C. N., Jensen, A. V., El-Said Abd El-Wahhab, I., Morsy, N. E., Shafiek, H., Sobh, E., Abdulsemed, K. A., Bertrand, F., Brun-Buisson, C., Montmollin, E. D., Fartoukh, M., Messika, J., Tattevin, P., Khoury, A., Ebruke, B., Dreher, M., Kolditz, M., Meisinger, M., Pletz, M. W., Hagel, S., Rupp, J., Schaberg, T., Creutz, P., Suttorp, N., Siaw-Lartey, B., Dimakou, K., Papapetrou, D., Tsigou, E., Ampazis, D., Kaimakamis, E., Bhatia, M., Dhar, R., D'Souza, G., Garg, R., Koul, P. A., Mahesh, P. A., Jayaraj, B. S., Narayan, K. V., Udnur, H. B., Krishnamurthy, S. B., Kant, S., Swarnakar, R., Limaye, S., Salvi, S., Golshani, K., Keatings, V. M., Maor, Y., Strahilevitz, J., Battaglia, S., Carrabba, M., Ceriana, P., Confalonieri, M., Monforte, A. D., Prato, B. D., Rosa, M. D., Fantini, R., Fiorentino, G., Gammino, M. A., Milani, G., Nava, S., Palmiero, G., Petrino, R., Gabrielli, B., Rossi, P., Sorino, C., Steinhilber, G., Zanforlin, A., Franzetti, F., Carone, M., Patella, V., Scarlata, S., Comel, A., Kurahashi, K., Bacha, Z. A., Ugalde, D. B., Zuniga, O. C., Villegas, J. F., Medenica, M., van de Garde, E. M. W., Mihsra, D. R., Shrestha, P., Ridgeon, E., Awokola, B. I., Nwankwo, O. N. O., Olufunlola, A. B., Olumide, S., Ukwaja, K. N., Irfan, M., Minarowski, L., Szymon, S., Froes, F., Leuschner, P., Meireles, M., Ravara, S. B., Brocovschii, V., Ion, C., Rusu, D., Toma, C., Chirita, D., Dorobat, C. M., Birkun, A., Kaluzhenina, A., Almotairi, A., Bukhary, Z. A. A., Edathodu, J., Fathy, A., Enani, A. M. A., Mohamed, N. E., Memon, J. U., Bella, A., Bogdanovic, N., Milenkovic, B., Pesut, D., Borderias, L., Garcia, N. M. B., Cabello Alarcon, H., Cilloniz, C., Torres, A., Diaz-Brito, V., Casas, X., Gonzalez, A. E., Fernandez-Almira, M. L., Gallego, M., Gaspar-Garcia, I., Castillo, J. G. D., Victoria, P. J., Laserna Martinez, E., Molina, R. M. D., Menendez, R., Pando-Sandoval, A., Aymerich, C. P., Rello, J., Moyano, S., Rodrigo-Troyano, A., Sole-Violan, J., Uranga, A., van Boven, J. F. M., Torra, E. V., Pujol, J. A., Feldman, C., Yum, H. K., Fiogbe, A. A., Yangui, F., Bilaceroglu, S., Dalar, L., Yilmaz, U., Bogomolov, A., Elahi, N., Dhasmana, D. J., Feneley, A., Hancock, C., Hill, A. T., Rudran, B., Ruiz-Buitrago, S., Campbell, M., Whitaker, P., Youzguin, A., Singanayagam, A., Allen, K. S., Brito, V., Dietz, J., Dysart, C. E., Kellie, S. M., Franco-Sadud, R. A., Meier, G., Gaga, M., Holland, T. L., Bergin, S. P., Kheir, F., Landmeier, M., Lois, M., Nair, G. B., Patel, H., Reyes, K., Rodriguez-Cintron, W., Saito, S., Noda, J., Hinojosa, C. I., Levine, S. M., Angel, L. F., Anzueto, A., Whitlow, K. S., Hipskind, J., Sukhija, K., Totten, V., Shah, R. D., Mateyo, K. J., Noriega, L., Alvarado, E., Aman, M., and Labra, L.
- Subjects
Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,community-acquired pneumonia ,Community-acquired pneumonia ,Enterobacteriaceae ,multidrug-resistance ,prevalence ,risk factors ,International Cooperation ,Multidrug-resistance ,Microbial Sensitivity Tests ,Settore MED/10 - Malattie Dell'Apparato Respiratorio ,Research initiative ,E-NDAS ,Cohort Studies ,SDG 3 - Good Health and Well-being ,Prevalence ,Humans ,Medicine ,In patient ,Risk factor ,Veterans Affairs ,health care economics and organizations ,Aged ,business.industry ,Enterobacteriaceae Infections ,QR Microbiology ,medicine.disease ,Drug Resistance, Multiple ,humanities ,Quality enhancement ,QR ,Community-Acquired Infections ,Hospitalization ,Risk factors ,risk factor ,Family medicine ,Female ,business ,Risk assessment ,Cohort study - Abstract
N.J.S. is partially funded by the Department of Veterans Affairs, Quality Enhancement Research Initiative (QUERI) Partnered Evaluation Initiative Grant (HX002263-01A1). Background and objective : Enterobacteriaceae (EB) spp. family is known to include potentially multidrug-resistant (MDR) microorganisms, and remains as an important cause of community-acquired pneumonia (CAP) associated with high mortality. The aim of this study was to determine the prevalence and specific risk factors associated with EB and MDR-EB in a cohort of hospitalized adults with CAP. Methods : We performed a multinational, point-prevalence study of adult patients hospitalized with CAP. MDR-EB was defined when ≥3 antimicrobial classes were identified as non-susceptible. Risk factors assessment was also performed for patients with EB and MDR-EB infection. Results : Of the 3193 patients enrolled with CAP, 197 (6%) had a positive culture with EB. Fifty-one percent (n = 100) of EB were resistant to at least one antibiotic and 19% (n = 38) had MDR-EB. The most commonly EB identified were Klebsiella pneumoniae (n = 111, 56%) and Escherichia coli (n = 56, 28%). The risk factors that were independently associated with EB CAP were male gender, severe CAP, underweight (body mass index (BMI)
- Published
- 2020
14. International prevalence and risk factors evaluation for drug-resistant Streptococcus pneumoniae pneumonia
- Author
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Aliberti, S, Cook, GS, Babu, BL, Reyes, LF, Rodriguez, AH, Sanz, F, Soni, NJ, Anzueto, A, Faverio, P, Sadud, RF, Muhammad, I, Prat, C, Vendrell, E, Neves, J, Kaimakamis, E, Feneley, A, Swarnakar, R, Franzetti, F, Carugati, M, Morosi, M, Monge, E, Restrepo, MI, Aruj, PK, Attorri, S, Barimboim, E, Caeiro, JP, Garzon, MI, Cambursano, VH, Ceccato, A, Chertcoff, J, Lascar, F, Di Tulio, F, Diaz, AC, de Vedia, L, Ganaha, MC, Lambert, S, Lopardo, G, Lopez, V, Luna, CM, Malberti, AG, Morcillo, N, Tartara, S, Pensotti, C, Pereyra, B, Scapellato, PG, Stagnaro, JP, Shah, S, Lotsch, F, Thalhammer, F, Anseeuw, K, Francois, CA, Van Braeckel, E, Vincent, JL, Djimon, MZ, Bashi, J, Dodo, R, Nouer, SA, Chipev, P, Encheva, M, Miteva, D, Petkova, D, Balkissou, AD, Yone, EWP, Ngahane, BHM, Shen, N, Xu, JF, Rico, CAB, Buitrago, R, Paternina, FJP, Ntumba, JMK, Carevic, VV, Jakopovic, M, Jankovic, M, Matkovic, Z, Mitrecic, I, Jacobsson, MLB, Christensen, AB, Bodtger, UCH, Meyer, CN, Jensen, AV, Baunbaek-knudsen, G, Petersen, PT, Andersen, S, Abd El-Wahhab, IES, Morsy, NE, Shafiek, H, Sobh, E, Abdulsemed, KA, Bertrand, F, Brun-Buisson, C, de Montmollin, E, Fartoukh, M, Messika, J, Tattevin, P, Khoury, A, Ebruke, B, Dreher, M, Kolditz, M, Meisinger, M, Pletz, MW, Hagel, S, Rupp, J, Schaberg, T, Spielmanns, M, Creutz, P, Suttorp, N, Siaw-Lartey, B, Dimakou, K, Papapetrou, D, Tsigou, E, Ampazis, D, Bhatia, M, Dhar, R, D'Souza, G, Garg, R, Koul, PA, Mahesh, PA, Jayaraj, BS, Narayan, KV, Udnur, HB, Krishnamurthy, SB, Kant, S, Limaye, S, Salvi, S, Golshani, K, Keatings, VM, Martin-Loeches, I, Maor, Y, Strahilevitz, J, Battaglia, S, Carrabba, M, Ceriana, P, Confalonieri, M, Monforte, AD, Del Prato, B, De Rosa, M, Fantini, R, Fiorentino, G, Gammino, MA, Menzella, F, Milani, G, Nava, S, Palmiero, G, Petrino, R, Gabrielli, B, Rossi, P, Sorino, C, Steinhilber, G, Zanforlin, A, Carone, M, Patella, V, Scarlata, S, Comel, A, Kurahashi, K, Bacha, ZA, Ugalde, DB, Zuniga, OC, Villegas, JF, Medenica, M, van de Garde, EMW, Mihsra, DR, Shrestha, P, Ridgeon, E, Awokola, BI, Nwankwo, ONO, Olufunlola, AB, Olumide, S, Ukwaja, KN, Irfan, M, Minarowski, L, Szymon, S, Froes, F, Leuschner, P, Meireles, M, Ferrao, C, Ravara, SB, Brocovschii, V, Ion, C, Rusu, D, Toma, C, Chirita, D, Dorobat, CM, Birkun, A, Kaluzhenina, A, Almotairi, A, Bukhary, ZAA, Edathodu, J, Fathy, A, Enani, AMA, Mohamed, NE, Memon, JU, Bella, A, Bogdanovic, N, Milenkovic, B, Pesut, D, Borderias, L, Garcia, NMB, Alarcon, HC, Cilloniz, C, Torres, A, Diaz-Brito, V, Casas, X, Gonzalez, AE, Fernandez-Almira, ML, Gallego, M, Gaspar-Garcia, I, del Castillo, JG, Victoria, PJ, Martinez, EL, de Molina, RM, Marcos, PJ, Menendez, R, Pando-Sandoval, A, Aymerich, CP, de la Torre, AL, Garcia-Olive, I, Rello, J, Moyano, S, Sibila, O, Rodrigo-Troyano, A, Sole-Violan, J, Uranga, A, van Boven, JFM, Torra, EV, Pujol, JA, Feldman, C, Yum, HK, Fiogbe, AA, Yangui, F, Bilaceroglu, S, Dalar, L, Yilmaz, U, Bogomolov, A, Elahi, N, Dhasmana, DJ, Ions, R, Skeemer, J, Woltmann, G, Hancock, C, Hill, AT, Rudran, B, Ruiz-Buitrago, S, Campbell, M, Whitaker, P, Youzguin, A, Singanayagam, A, Allen, KS, Brito, V, Dietz, J, Dysart, CE, Kellie, SM, Franco-Sadud, RA, Meier, G, Gaga, M, Holland, TL, Bergin, SP, Kheir, F, Landmeier, M, Lois, M, Nair, GB, Patel, H, Reyes, K, Rodriguez-Cintron, W, Saito, S, Noda, J, Hinojosa, CI, Levine, SM, Angel, LF, Whitlow, KS, Hipskind, J, Sukhija, K, Totten, V, Wunderink, RG, Shah, RD, Mateyo, KJ, Noriega, L, Alvarado, E, Aman, M, Labra, L, Aliberti, S, Cook, G, Babu, B, Reyes, L, H. Rodriguez, A, Sanz, F, Soni, N, Anzueto, A, Faverio, P, Sadud, R, Muhammad, I, Prat, C, Vendrell, E, Neves, J, Kaimakamis, E, Feneley, A, Swarnakar, R, Franzetti, F, Carugati, M, Morosi, M, Monge, E, Restrepo, M, Aliberti, S., Cook, G. S., Babu, B. L., Reyes, L. F., Rodriguez, A. H., Sanz, F., Soni, N. J., Anzueto, A., Faverio, P., Sadud, R. F., Muhammad, I., Prat, C., Vendrell, E., Neves, J., Kaimakamis, E., Feneley, A., Swarnakar, R., Franzetti, F., Carugati, M., Morosi, M., Monge, E., Restrepo, M. I., Aruj, P. K., Attorri, S., Barimboim, E., Caeiro, J. P., Garzon, M. I., Cambursano, V. H., Ceccato, A., Chertcoff, J., Lascar, F., Di Tulio, F., Diaz, A. C., de Vedia, L., Ganaha, M. C., Lambert, S., Lopardo, G., Luna, C. M., Malberti, A. G., Morcillo, N., Tartara, S., Pensotti, C., Pereyra, B., Scapellato, P. G., Stagnaro, J. P., Shah, S., Lotsch, F., Thalhammer, F., Anseeuw, K., Francois, C. A., Van Braeckel, E., Vincent, J. L., Djimon, M. Z., Bashi, J., Dodo, R., Nouer, S. A., Chipev, P., Encheva, M., Miteva, D., Petkova, D., Balkissou, A. D., Yone, E. W. P., Ngahane, B. H. M., Shen, N., Xu, J. -F., Rico, C. A. B., Buitrago, R., Paternina, F. J. P., Ntumba, J. -M. K., Carevic, V. V., Jakopovic, M., Jankovic, M., Matkovic, Z., Mitrecic, I., Jacobsson, M. -L. B., Christensen, A. B., Bodtger, U. C. H., Meyer, C. N., Jensen, A. V., Baunbaek-Knudsen, G., Petersen, P. T., Andersen, S., El-Wahhab, I. E. -S. A., Morsy, N. E., Shafiek, H., Sobh, E., Abdulsemed, K. A., Bertrand, F., Brun-Buisson, C., de Montmollin, E., Fartoukh, M., Messika, J., Tattevin, P., Khoury, A., Ebruke, B., Dreher, M., Kolditz, M., Meisinger, M., Pletz, M. W., Hagel, S., Rupp, J., Schaberg, T., Spielmanns, M., Creutz, P., Suttorp, N., Siaw-Lartey, B., Dimakou, K., Papapetrou, D., Tsigou, E., Ampazis, D., Bhatia, M., Dhar, R., D'Souza, G., Garg, R., Koul, P. A., Mahesh, P. A., Jayaraj, B. S., Narayan, K. V., Udnur, H. B., Krishnamurthy, S. B., Kant, S., Limaye, S., Salvi, S., Golshani, K., Keatings, V. M., Martin-Loeches, I., Maor, Y., Strahilevitz, J., Battaglia, S., Carrabba, M., Ceriana, P., Confalonieri, M., D'Arminio Monforte, A., Del Prato, B., De Rosa, M., Fantini, R., Fiorentino, G., Gammino, M. A., Menzella, F., Milani, G., Nava, S., Palmiero, G., Petrino, R., Gabrielli, B., Rossi, P., Sorino, C., Steinhilber, G., Zanforlin, A., Carone, M., Patella, V., Scarlata, S., Comel, A., Kurahashi, K., Bacha, Z. A., Ugalde, D. B., Zuniga, O. C., Villegas, J. F., Medenica, M., van de Garde, E. M. W., Mihsra, D. R., Shrestha, P., Ridgeon, E., Awokola, B. I., Nwankwo, O. N. O., Olufunlola, A. B., Olumide, S., Ukwaja, K. N., Irfan, M., Minarowski, L., Szymon, S., Froes, F., Leuschner, P., Meireles, M., Ferrao, C., Ravara, S. B., Brocovschii, V., Ion, C., Rusu, D., Toma, C., Chirita, D., Dorobat, C. M., Birkun, A., Kaluzhenina, A., Almotairi, A., Bukhary, Z. A. A., Edathodu, J., Fathy, A., Enani, A. M. A., Mohamed, N. E., Memon, J. U., Bella, A., Bogdanovic, N., Milenkovic, B., Pesut, D., Borderias, L., Garcia, N. M. B., Alarcon, H. C., Cilloniz, C., Torres, A., Diaz-Brito, V., Casas, X., Gonzalez, A. E., Fernandez-Almira, M. L., Gallego, M., Gaspar-Garcia, I., Del Castillo, J. G., Victoria, P. J., Martinez, E. L., de Molina, R. M., Marcos, P. J., Menendez, R., Pando-Sandoval, A., Aymerich, C. P., de la Torre, A. L., Garcia-Olive, I., Rello, J., Moyano, S., Sibila, O., Rodrigo-Troyano, A., Sole-Violan, J., Uranga, A., van Boven, J. F. M., Torra, E. V., Pujol, J. A., Feldman, C., Yum, H. K., Fiogbe, A. A., Yangui, F., Bilaceroglu, S., Dalar, L., Yilmaz, U., Bogomolov, A., Elahi, N., Dhasmana, D. J., Ions, R., Skeemer, J., Woltmann, G., Hancock, C., Hill, A. T., Rudran, B., Ruiz-Buitrago, S., Campbell, M., Whitaker, P., Youzguin, A., Singanayagam, A., Allen, K. S., Brito, V., Dietz, J., Dysart, C. E., Kellie, S. M., Franco-Sadud, R. A., Meier, G., Gaga, M., Holland, T. L., Bergin, S. P., Kheir, F., Landmeier, M., Lois, M., Nair, G. B., Patel, H., Reyes, K., Rodriguez-Cintron, W., Saito, S., Noda, J., Hinojosa, C. I., Levine, S. M., Angel, L. F., Whitlow, K. S., Hipskind, J., Sukhija, K., Totten, V., Wunderink, R. G., Shah, R. D., Mateyo, K. J., Noriega, L., Alvarado, E., Aman, M., Labra, L., Aliberti S., Cook G.S., Babu B.L., Reyes L.F., Rodriguez A.H., Sanz F., Soni N.J., Anzueto A., Faverio P., Sadud R.F., Muhammad I., Prat C., Vendrell E., Neves J., Kaimakamis E., Feneley A., Swarnakar R., Franzetti F., Carugati M., Morosi M., Monge E., Restrepo M.I., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Garzon M.I., Cambursano V.H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A.C., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Shah S., Lotsch F., Thalhammer F., Anseeuw K., Francois C.A., Van Braeckel E., Vincent J.L., Djimon M.Z., Bashi J., Dodo R., Nouer S.A., Chipev P., Encheva M., Miteva D., Petkova D., Balkissou A.D., Yone E.W.P., Ngahane B.H.M., Shen N., Xu J.-F., Rico C.A.B., Buitrago R., Paternina F.J.P., Ntumba J.-M.K., Carevic V.V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M.-L.B., Christensen A.B., Bodtger U.C.H., Meyer C.N., Jensen A.V., Baunbaek-Knudsen G., Petersen P.T., Andersen S., El-Wahhab I.E.-S.A., Morsy N.E., Shafiek H., Sobh E., Abdulsemed K.A., Bertrand F., Brun-Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Khoury A., Ebruke B., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Creutz P., Suttorp N., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Bhatia M., Dhar R., D'souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Kant S., Limaye S., Salvi S., Golshani K., Keatings V.M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., D'Arminio Monforte A., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M.A., Menzella F., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Carone M., Patella V., Scarlata S., Comel A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Mihsra D.R., Shrestha P., Ridgeon E., Awokola B.I., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymon S., Froes F., Leuschner P., Meireles M., Ferrao C., Ravara S.B., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Dorobat C.M., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z.A.A., Edathodu J., Fathy A., Enani A.M.A., Mohamed N.E., Memon J.U., Bella A., Bogdanovic N., Milenkovic B., Pesut D., Borderias L., Garcia N.M.B., Alarcon H.C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., Fernandez-Almira M.L., Gallego M., Gaspar-Garcia I., Del Castillo J.G., Victoria P.J., Martinez E.L., de Molina R.M., Marcos P.J., Menendez R., Pando-Sandoval A., Aymerich C.P., de la Torre A.L., Garcia-Olive I., Rello J., Moyano S., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F.M., Torra E.V., Pujol J.A., Feldman C., Yum H.K., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Ions R., Skeemer J., Woltmann G., Hancock C., Hill A.T., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Youzguin A., Singanayagam A., Allen K.S., Brito V., Dietz J., Dysart C.E., Kellie S.M., Franco-Sadud R.A., Meier G., Gaga M., Holland T.L., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Whitlow K.S., Hipskind J., Sukhija K., Totten V., Wunderink R.G., Shah R.D., Mateyo K.J., Noriega L., Alvarado E., Aman M., and Labra L.
- Subjects
0301 basic medicine ,Male ,Streptococcus pneumonia ,antibiotic resistance ,Internationality ,sputum examination ,bronchiectasis ,very elderly ,Antibiotics ,Prevalence ,Drug resistance ,medicine.disease_cause ,Logistic regression ,Global Health ,Community-Acquired Infections/epidemiology ,lung lavage ,0302 clinical medicine ,Community-acquired pneumonia ,Cost of Illness ,Risk Factors ,drug resistant Streptococcus pneumoniae pneumonia ,030212 general & internal medicine ,Microbial drug resistant ,Aged, 80 and over ,adult ,international cooperation ,drug effect ,Middle Aged ,influenza vaccination ,Anti-Bacterial Agents ,antiinfective agent ,Europe ,Community-Acquired Infections ,Hospitalization ,Global burden of disease ,Streptococcus pneumoniae ,Infectious Diseases ,risk factor ,bacterium identification ,Female ,community acquired infection ,influenza ,liver disease ,pneumococcal vaccination ,Pneumococcal infection ,hospitalization ,medicine.drug ,Microbiology (medical) ,medicine.medical_specialty ,Asia ,medicine.drug_class ,030106 microbiology ,Settore MED/10 - Malattie Dell'Apparato Respiratorio ,Article ,Anti-Bacterial Agents/pharmacology ,03 medical and health sciences ,Internal medicine ,Drug Resistance, Bacterial ,Pneumonia, Pneumococcal/epidemiology ,medicine ,Humans ,controlled study ,human ,tetracycline ,Hospitalization/statistics & numerical data ,Aged ,levofloxacin ,nonhuman ,business.industry ,disease association ,microbiology ,community acquired pneumonia ,macrolide ,Pneumonia ,asthma ,South America ,Pneumonia, Pneumococcal ,vaccination ,medicine.disease ,major clinical study ,antibiotic sensitivity ,penicillin derivative ,Penicillin ,Streptococcus pneumoniae/drug effects ,blood examination ,Africa ,North America ,microbiological examination ,business - Abstract
Objective: Streptococcus pneumoniae is the most frequent bacterial pathogen isolated in subjects with Community-acquired pneumonia (CAP) worldwide. Limited data are available regarding the current global burden and risk factors associated with drug-resistant Streptococcus pneumoniae (DRSP) in CAP subjects. We assessed the multinational prevalence and risk factors for DRSP-CAP in a multinational point-prevalence study. Design: The prevalence of DRSP-CAP was assessed by identification of DRSP in blood or respiratory samples among adults hospitalized with CAP in 54 countries. Prevalence and risk factors were compared among subjects that had microbiological testing and antibiotic susceptibility data. Multivariate logistic regressions were used to identify risk factors independently associated with DRSP-CAP. Results: 3,193 subjects were included in the study. The global prevalence of DRSP-CAP was 1.3% and continental prevalence rates were 7.0% in Africa, 1.2% in Asia, and 1.0% in South America, Europe, and North America, respectively. Macrolide resistance was most frequently identified in subjects with DRSP-CAP (0.6%) followed by penicillin resistance (0.5%). Subjects in Africa were more likely to have DRSP-CAP (OR: 7.6; 95% CI: 3.34-15.35, p < 0.001) when compared to centres representing other continents. Conclusions: This multinational point-prevalence study found a low global prevalence of DRSP-CAP that may impact guideline development and antimicrobial policies. Published by Elsevier Ltd on behalf of The British Infection Association.
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- 2019
15. Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
- Author
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Dorcas Modupe Okewole, Olumide S. Adesina, Samson Adeniyi Onanaye, and Amanze C. Egere
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Coronavirus disease 2019 (COVID-19) ,Econometrics ,General Medicine ,Autoregressive fractionally integrated moving average ,Mathematics - Abstract
The emergence of global pandemic known as COVID-19 has impacted significantly on human lives and measures have been taken by government all over the world to minimize the rate of spread of the virus, one of which is by enforcing lockdown. In this study, Autoregressive fractionally integrated moving average (ARFIMA) Models was used to model and forecast what the daily new cases of COVID-19 would have been ten days after the lockdown was eased in Nigeria and compare to the actual new cases for the period when the lockdown was eased. The proposed model ARFIMA model was compared with ARIMA (1, 0, 0), and ARIMA (1, 0, 1) and found to outperform the classical ARIMA models based on AIC and BIC values. The results show that the rate of spread of COVID-19 would have been significantly less if the strict lockdown had continued. ARFIMA model was further used to model what new cases of COVID-19 would be ten days ahead starting from 31st of August 2020. Therefore, this study recommends that government should further enforce measures to reduce the spread of the virus if business must continue as usual.
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- 2020
16. Prevalence of Phytophthora species in macadamia orchards in Australia and their ability to cause stem canker
- Author
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Andre Drenth, Olufemi A. Akinsanmi, Olumide S. Jeff-Ego, J. Henderson, and Bruce Topp
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0106 biological sciences ,0301 basic medicine ,Canker ,Rhizosphere ,fungi ,food and beverages ,Plant Science ,Horticulture ,Biology ,Phytophthora cinnamomi ,medicine.disease ,biology.organism_classification ,01 natural sciences ,Proteaceae ,03 medical and health sciences ,030104 developmental biology ,Genetics ,Root rot ,medicine ,Tree health ,Heterothallic ,Phytophthora ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
In Australia, Phytophthora cinnamomi is the only species reported as the causal agent of stem canker and root rot in macadamia. In other countries, five Phytophthora species have been reported to cause diseases in macadamia, which led us to question if more than one Phytophthora species is responsible for poor tree health in macadamia orchards in Australia. To investigate this, samples were collected from the rhizosphere, stem, and root tissues of trees with and without symptoms, nurseries, and water sources from 70 commercial macadamia orchards in Australia. Phytophthora isolates were identified based on morphological characteristics and DNA sequencing. P. cinnamomi was the most predominant and widely distributed species, and was obtained from the different types of samples including symptomless root tissues. In addition to P. cinnamomi, only P. multivora was isolated from diseased tissue (stem canker) samples. Six other Phytophthora species were obtained from the rhizosphere samples: P. pseudocryptogea, P. citrophthora, P. nicotianae, P. gondwanense, P. sojae, and a new Phytophthora taxon. Only P. cinnamomi was obtained from macadamia nursery samples, while five Phytophthora species were obtained from water sources. Of the heterothallic Phytophthora species, mating type A2 isolates were dominant in P. cinnamomi isolates, whereas only mating type A1 isolates were obtained for P. nicotianae, P. pseudocryptogea, and P. citrophthora. Pathogenicity assays revealed that P. cinnamomi and P. multivora caused significantly larger stem and leaf lesions than P. citrophthora, P. nicotianae, and P. pseudocryptogea. Phytophthora sp. and P. sojae were nonpathogenic towards leaves and stems.
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- 2020
17. Phomopsis husk rot of macadamia in Australia and South Africa caused by novel Diaporthe species
- Author
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Olumide S. Jeff-Ego, Maritha H. Schoeman, Yu Pei Tan, Christopher J. Wrona, Olufemi A. Akinsanmi, Roger G. Shivas, and Vheena Mohankumar
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0106 biological sciences ,0301 basic medicine ,Phylogenetic tree ,education ,Plant Science ,Horticulture ,Biology ,biology.organism_classification ,01 natural sciences ,Husk ,Proteaceae ,03 medical and health sciences ,030104 developmental biology ,Phomopsis ,Diaporthe ,Disease management (agriculture) ,Genetics ,Cultivar ,Clade ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
Phomopsis husk rot (PHR) in macadamia is a disease of economic importance in major commercial production areas in Australia and South Africa. Effective control of PHR is hindered by limited knowledge about its aetiology and epidemiology. The diversity and pathogenicity of more than 50 isolates of Diaporthe associated with PHR in macadamia orchards in Australia and South Africa was assessed. Multilocus phylogenetic analyses of DNA sequences of the ITS, tef1α, and tub2 gene loci revealed four novel clades that are described as Diaporthe australiana sp. nov., D. drenthii sp. nov., D. macadamiae sp. nov., and D. searlei sp. nov. Pathogenicity tests with representative isolates found that all four species caused PHR of varying severity between and within species, as well as between the two macadamia cultivars HAES 344 and HAES 816. The Australian species, D. australiana, was the most aggressive species compared with the three South African species. This study improves our understanding of the aetiology of PHR in macadamia and paves the way for more effective disease management.
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- 2020
18. Bayesian Optimization for Parameter of Discrete Weibull Regression
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Adeniyi Samson Onanaye, Dorcas Modupe Okewole, and Olumide S. Adesina
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Economics and Econometrics ,symbols.namesake ,Bayesian optimization ,Statistics ,Materials Chemistry ,Media Technology ,symbols ,Forestry ,Gaussian process ,Weibull regression ,Mathematics ,Count data - Abstract
This study aim at optimizing the parameter θ of Discrete Weibull (DW) regression obtained by maximizing the likelihood function. Also to examine the strength of three acquisition functions used in solving auxiliary optimization problem. The choice of Discrete Weibull regression model among other models for fitting count data is due to its robustness in fitting count data. Count data of hypertensive patients visits to the doctor was obtained at Medicare Clinics Ota, Nigeria, and was used for the analysis. First, parameter θ and β were obtained using Metropolis Hasting Monte Carlo Markov Chain (MCMC) algorithm. Then Bayesian optimization was used to optimize the parameter the likelihood function of DW regression, given β to examine what θ would be, and making the likelihood function of DW the objective function. Upper confidence bound (UCB), Expectation of Improvement (EI), and probability of Improvement (PI) were used as acquisition functions. Results showed that fitting Bayesian DW regression to the data, there is significant relationship between the response variable, β and the covariate. On implementing Bayesian optimization to obtain parameter new parameter θ of discrete Weibull regression using the known β, the results showed promising applicability of the technique to the model, and found that EI fits the data better relative to PI and UCB in terms of accuracy and speed.
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- 2020
19. The effect of the period of weed interference on the growth and yield of soybean (Glycine max L. Merrill)
- Author
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Daramola Olumide S., Adeyemi Olusegun R., Adigun Joseph A., Adejuyigbe Christopher O., and Olorunmaiye Patience M.
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lcsh:Agriculture ,hoe weeding ,parasitic diseases ,fungi ,lcsh:S ,food and beverages ,soybean yield ,respiratory system ,weed competition ,weed removal ,critical period - Abstract
Field trials were conducted to evaluate the effect of different periods of weed interference on weed infestation, growth and yield of soybean in 2016-2017 cropping seasons. In both years, soybean grain yields ranged from 888-1148 kg ha-1 in plots where weeds were allowed to grow until harvest to 2103-2389 kg ha-1 in plots where weeds were controlled until harvest, indicating a 52-58% yield loss with uncontrolled weed growth. Weed interference until 3 weeks after sowing (WAS) had no detrimental effect on soybean growth and yield provided the weeds were subsequently removed. However, further delay in weed removal until 6 WAS or longer depressed soybean growth and resulted in irrevocable yield reduction, with the number of pods per plant being the most affected yield component. For optimum growth and yield, it was only necessary to keep the crop weed-free between 3 and 6 WAS.
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- 2020
20. Effect of nitrogen levels and weed management methods on weed abundance and yield of upland rice (Oryza sativa L.)
- Author
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Kolo Emmanuel, Adigun Joseph A., Adeyemi Olusegun R., Daramola Olumide S., and Bodunde Jacob G.
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lcsh:Agriculture ,integrated weed management ,grain yield ,hoe-weeding ,orizo plus® ,lcsh:S ,weed competition - Abstract
Weed infestation and inherent low soil fertility are among the major factors attributed to the low yield of rice in Nigeria. Field trials were therefore conducted to evaluate the effect of nitrogen application levels and weed control methods on growth and yield of upland rice (var. NERICA 2) at the Teaching and Research Farm of the Federal University of Agriculture, Abeokuta (07° 15'N, 03° 25'E) during 2015 and 2016 cropping seasons. Three nitrogen (N) levels (0, 60 and 90 kg/ha) were evaluated and they constituted the main plot treatments, while three weed control treatments, viz: pre-emergence application of Orizo Plus® (propanil plus 2, 4-D) at 2.0 kg a.i ha-1, Orizo Plus® at 2.0 kg a.i ha-1 followed by supplementary hoe weeding (SHW) at 6 weeks after sowing (WAS) and three hoe-weeding regimes at 3, 6 and 9 WAS, and a weedy check constituted the sub-plot treatments. All the treatments in different combinations were laid out in a randomized complete block design with a split-plot arrangement with three replicates. Results indicated a significant (p≤0.05) increase in weed density and dry matter with an increase in N application level from 0 to 90 kg ha-1. Similarly, crop vigour and plant height increased significantly (p≤0.05) with increasing N application levels up to 90 kg ha-1. However, 60 and 90 kg N ha-1 were at par in increasing the number of tillers, leaf area index and yield attributes of rice. All the weed control methods resulted in a significant (p≤0.05) reduction in weed density and dry matter with subsequent increase in rice growth and yield than the weedy check. Pre-emergence application of Orizo Plus® followed by SHW at 6 WAS and three hoe-weeding regimes resulted in significantly (p≤0.05) lower weed density and dry matter, and a higher number of tillers, panicle weight and grain yield than a sole application of Orizo Plus®. With Orizo Plus® followed by one SHW or three hoe-weeding regimes, increasing N application levels resulted in a significant (p≤0.05) increase in grain yield of rice. However, with Orizo Plus® applied alone, increasing N application levels did not increase rice grain yield. These results suggest that Orizo Plus® at 2.0 kg a.iha-1 followed by one SHW at 6 WAS integrated with N application at 90 kg ha-1 is adequate to effectively control weeds and increase rice yield in the rainforest-savannah transition zone of Nigeria.
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- 2020
21. Correction to: Bacterial etiology of community-acquired pneumonia in immunocompetent hospitalized patients and appropriateness of empirical treatment recommendations: an international point-prevalence study (European Journal of Clinical Microbiology & Infectious Diseases, (2020), 39, 8, (1513-1525), 10.1007/s10096-020-03870-3)
- Author
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Carugati M., Aliberti S., Sotgiu G., Blasi F., Gori A., Menendez R., Encheva M., Gallego M., Leuschner P., Ruiz-Buitrago S., Battaglia S., Fantini R., Pascual-Guardia S., Marin-Corral J., Restrepo M. I., Aruj P. K., Attorri S., Barimboim E., Caeiro J. P., Garzon M. I., Cambursano V. H., Ceccato A., Chertcoff J., Lascar F., Tulio F. D., Diaz A. C., de Vedia L., Ganaha M. C., Lambert S., Lopardo G., Luna C. M., Malberti A. G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P. G., Stagnaro J. P., Shah S., Lotsch F., Thalhammer F., Vincent J. L., Anseeuw K., Francois C. A., Van Braeckel E., Djimon M. Z., Bashi J., Roger D., Nouer S. A., Chipev P., Miteva D., Petkova D., Dodo B. A., Ngahane M., Hugo B., Shen N., Xu J. -F., Rico C. A. B., Buitrago R., Paternina F. J. P., Jean-Marie K. N., Carevic V. V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M. -L. B., Christensen A. B., HeitmannBodtger U. C., Meyer C. N., Jensen A. V., Baunbaek-knudsen G., Petersen P. T., Andersen S., El-Wahhab I. E. -S. A., Morsy N. E., Shafiek H., Sobh E., Bertrand F., Brun-Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M. W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P. A., Mahesh P. A., Jayaraj B. S., Narayan K. V., Udnur H. B., Krishnamurthy S. B., Golshani K., Keatings V. M., Martin-Loeches I., Maor Y., Strahilevitz J., Carrabba M., Ceriana P., Confalonieri M., d'Arminio Monforte A., Del Prato B., De Rosa M., Fiorentino G., Gammino M. A., Menzella F., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z. A., Ugalde D. B., Zuniga O. C., Villegas J. F., Medenica M., van de Garde E. M. W., Mihsra D. R., Shrestha P., Ridgeon E., Awokola B. I., Nwankwo O. N. O., Olufunlola A. B., Olumide S., Ukwaja K. N., Irfan M., Minarowski L., Szymon S., Froes F., Meireles M., Ferrao C., Neves J., Ravara S. B., da Beira C., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Abdulbaqi Z., Bukhary A., Edathodu J., Fathy A., Enani A. M. A., Mohamed N. E., Memon J. U., Bogdanovic N., Milenkovic B., Pesut D., Borderias L., Garcia N. M. B., Alarcon H. C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A. E., Fernandez-Almira M. L., Gaspar-GarcIa I., del Castillo J. G., Victoria P. J., Martinez E. L., de Molina R. M., Marcos P. J., PandoSandova A., Aymerich C. P., del la Torre A. L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J. F., Torra E. V., Pujol J. A., Feldman C., Yum H. K., Fiogbe A. A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D. J., Ions R., Skeemer J., Woltmann G., Hancock C., Hill A. T., Rudran B., Campbell M., Whitaker P., Allen K. S., Brito V., Dietz J., Dysart C. E., Kellie S. M., Franco-Sadud R. A., Meier G., Gaga M., Holland T. L., Bergin S. P., Kheir F., Landmeier M., Lois M., Nair G. B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N. J., Noda J., Hinojosa C. I., Levine S. M., Angel L. F., Anzueto A., Whitlow K. S., Hipskind J., Sukhija K., Wunderink R. G., Shah R. D., Mateyo K. J., Carugati M., Aliberti S., Sotgiu G., Blasi F., Gori A., Menendez R., Encheva M., Gallego M., Leuschner P., Ruiz-Buitrago S., Battaglia S., Fantini R., Pascual-Guardia S., Marin-Corral J., Restrepo M.I., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Garzon M.I., Cambursano V.H., Ceccato A., Chertcoff J., Lascar F., Tulio F.D., Diaz A.C., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Shah S., Lotsch F., Thalhammer F., Vincent J.L., Anseeuw K., Francois C.A., Van Braeckel E., Djimon M.Z., Bashi J., Roger D., Nouer S.A., Chipev P., Miteva D., Petkova D., Dodo B.A., Ngahane M., Hugo B., Shen N., Xu J.-F., Rico C.A.B., Buitrago R., Paternina F.J.P., Jean-Marie K.N., Carevic V.V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M.-L.B., Christensen A.B., HeitmannBodtger U.C., Meyer C.N., Jensen A.V., Baunbaek-knudsen G., Petersen P.T., Andersen S., El-Wahhab I.E.-S.A., Morsy N.E., Shafiek H., Sobh E., Bertrand F., Brun-Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Golshani K., Keatings V.M., Martin-Loeches I., Maor Y., Strahilevitz J., Carrabba M., Ceriana P., Confalonieri M., d'Arminio Monforte A., Del Prato B., De Rosa M., Fiorentino G., Gammino M.A., Menzella F., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Mihsra D.R., Shrestha P., Ridgeon E., Awokola B.I., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymon S., Froes F., Meireles M., Ferrao C., Neves J., Ravara S.B., da Beira C., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Abdulbaqi Z., Bukhary A., Edathodu J., Fathy A., Enani A.M.A., Mohamed N.E., Memon J.U., Bogdanovic N., Milenkovic B., Pesut D., Borderias L., Garcia N.M.B., Alarcon H.C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., Fernandez-Almira M.L., Gaspar-GarcIa I., del Castillo J.G., Victoria P.J., Martinez E.L., de Molina R.M., Marcos P.J., PandoSandova A., Aymerich C.P., del la Torre A.L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F., Torra E.V., Pujol J.A., Feldman C., Yum H.K., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Ions R., Skeemer J., Woltmann G., Hancock C., Hill A.T., Rudran B., Campbell M., Whitaker P., Allen K.S., Brito V., Dietz J., Dysart C.E., Kellie S.M., Franco-Sadud R.A., Meier G., Gaga M., Holland T.L., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N.J., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Anzueto A., Whitlow K.S., Hipskind J., Sukhija K., Wunderink R.G., Shah R.D., and Mateyo K.J.
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pneumonia ,Settore MED/10 - Malattie Dell'Apparato Respiratorio - Abstract
In the originally published article, the individual collaborator names were not captured under the group name “GLIMP Collaborators”. The names are now captured correctly under this group accordingly. The original article has been corrected.
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- 2021
22. Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data
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D. A. Agunbiade, Pelumi E. Oguntunde, and Olumide S. Adesina
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Generalized linear model ,Multidisciplinary ,Science ,Posterior probability ,Monte Carlo method ,Bayesian probability ,Markov chain Monte Carlo ,Dispersion ,Bayesian ,Generalized linear mixed model ,Dirichlet distribution ,symbols.namesake ,Insurance ,Counts ,symbols ,Applied mathematics ,Medicine ,Mixture models ,Count data ,Mathematics - Abstract
The need to model count data correctly calls for introducting a flexible yet robust model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS) used in the past were considered unsuitable. The introduction of the Generalized Linear Model (GLM) and its various extensions was the first breakthrough recorded in modeling count data. Thishis article, propose the Bayesian Dirichlet process mixture prior of generalized linear mixed models (DPMglmm). Metropolis Hasting Monte Carlo Markov Chain (M-H MCMC) was used to draw parameters from target posterior distribution. The Iterated Weighted Least Square (IWLS) proposal was used to determine the acceptance probability in the M-H MCMC phase. Under and over-dispersed count data were simulated, 500 Burn-in was scanned to allow for stability in the chain. 100 thinning interval was allowed so as to nullify the possible effect of autocorrelation in the data due to the Monte Carlo procedure. The DPMglmm and other competing models were fitted to the simulated data, and real-life health insurance claims data sets. The results obtained showed that DPMglmm outperformed MCMCglmm, Bayesian Discrete Weibull, and four other frequentist models. This indicates that DPMglmm is flexible and can fit count data best, either under-dispersed or over-dispersed data.
- Published
- 2021
23. Correction to: Atypical pathogens in hospitalized patients with community-acquired pneumonia: a worldwide perspective (BMC Infectious Diseases, (2018), 18, 1, (677), 10.1186/s12879-018-3565-z)
- Author
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Gramegna A., Sotgiu G., Di Pasquale M., Radovanovic D., Terraneo S., Reyes L. F., Vendrell E., Neves J., Menzella F., Blasi F., Aliberti S., Restrepo M. I., Aruj P. K., Attorri S., Barimboim E., Caeiro J. P., Cambursano V. H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A. C., de Vedia L., Ganaha M. C., Lambert S., Lopardo G., Luna C. M., Malberti A. G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P. G., Stagnaro J. P., Lotsch F., Vincent J. L., Anseeuw K., Francois C. A., Van Braeckel E., Djimon M. Z., Bashi J., Roger D., Nouer S. A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo B. A., Hugo M. N. B., Shen N., Xu J. -F., Rico C. A. B., Buitrago R., Paternina F. J. P., Jean-Marie K. N., Carevic V. V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M. -L. B., Christensen A. B., HeitmannBodtger U. C., Meyer C. N., Jensen A. V., Baunbaek-knudsen G., Petersen P. T., Andersen S., El-Wahhab I. E. -S. A., Morsy N. E., Shafi ek H., Sobh E., Bertrand F., Brun- Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M. W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Bhatia M., Ampazis D., Dhar R., D'Souza G., Garg R., Koul P. A., Mahesh P. A., Jayaraj B. S., Narayan K. V., Udnur H. B., Krishnamurthy S. B., Golshani K., Keatings V. M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., d'Arminio A., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M. A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z. A., Ugalde D. B., Zuniga O. C., Villegas J. F., Medenica M., van de Garde E. M. W., Mihsra D. R., Ridgeon E., Nwankwo O. N. O., Olufunlola A. B., Olumide S., Ukwaja K. N., Irfan M., Minarowski L., Szymo S., Froes F., Meireles M., Ferrao C., Leuschner P., Ravara S. B., Brocovschii V., Ion C., Rusu D., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z. A. A., Edathodu J., Fathy A., Enani A. M. A., Mohamed N. E., Memon J. U., Bogdanovic N., Milenkovic B., Borderias L., Garcia N. M. B., Alarcon H. C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A. E., FernandezAlmira M. L., Gallego M., Gaspar-GarcIa I., del Castillo J. G., Victoria P. J., Martinez E. L., de Molina R. M., Marcos P. J., Menendez R., Pando-Sandoval A., Aymerich C. P., del la Torre A. L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J. F. M., Torra E. V., Pujol J. A., Feldman C., Yum H. K., Fiogbe A. A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D. J., Ions R., Skeemer J., Woltmann G., Hancock C., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Allen K. S., Brito V., Dietz J., Dysart C. E., Franco-Sadud R. A., Kellie G. M. S. M., Gaga M., Bergin S. P., Kheir F., Landmeier M., Lois M., Nair G. B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N. J., Noda J., Hinojosa C. I., Levine S. M., Angel L. F., Anzueto A., Whitlow K. S., Hipskind J., Sukhija K., Wunderink R. G., Shah R. D., Mateyo K. J., Gramegna A., Sotgiu G., Di Pasquale M., Radovanovic D., Terraneo S., Reyes L.F., Vendrell E., Neves J., Menzella F., Blasi F., Aliberti S., Restrepo M.I., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Cambursano V.H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A.C., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Lotsch F., Vincent J.L., Anseeuw K., Francois C.A., Van Braeckel E., Djimon M.Z., Bashi J., Roger D., Nouer S.A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo B.A., Hugo M.N.B., Shen N., Xu J.-F., Rico C.A.B., Buitrago R., Paternina F.J.P., Jean-Marie K.N., Carevic V.V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M.-L.B., Christensen A.B., HeitmannBodtger U.C., Meyer C.N., Jensen A.V., Baunbaek-knudsen G., Petersen P.T., Andersen S., El-Wahhab I.E.-S.A., Morsy N.E., Shafi ek H., Sobh E., Bertrand F., Brun- Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Bhatia M., Ampazis D., Dhar R., D'Souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Golshani K., Keatings V.M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., d'Arminio A., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M.A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Mihsra D.R., Ridgeon E., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymo S., Froes F., Meireles M., Ferrao C., Leuschner P., Ravara S.B., Brocovschii V., Ion C., Rusu D., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z.A.A., Edathodu J., Fathy A., Enani A.M.A., Mohamed N.E., Memon J.U., Bogdanovic N., Milenkovic B., Borderias L., Garcia N.M.B., Alarcon H.C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., FernandezAlmira M.L., Gallego M., Gaspar-GarcIa I., del Castillo J.G., Victoria P.J., Martinez E.L., de Molina R.M., Marcos P.J., Menendez R., Pando-Sandoval A., Aymerich C.P., del la Torre A.L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F.M., Torra E.V., Pujol J.A., Feldman C., Yum H.K., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Ions R., Skeemer J., Woltmann G., Hancock C., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Allen K.S., Brito V., Dietz J., Dysart C.E., Franco-Sadud R.A., Kellie G.M.S.M., Gaga M., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N.J., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Anzueto A., Whitlow K.S., Hipskind J., Sukhija K., Wunderink R.G., Shah R.D., and Mateyo K.J.
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CAP, Atypical pathogens, Epidemiology ,Settore MED/10 - Malattie Dell'Apparato Respiratorio - Abstract
Following publication of the original article [1], the authors identified that they have been incorrectly tagged under the name of their related consortium GLIMP Study Group.
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- 2020
24. Experimental dapsone administration induces infertility in male Wistar rats: Mechanisms and clinical implications
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Olumide S. Akinsomisoye, Yinusa Raji, and Gopal Gupta
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0301 basic medicine ,Infertility ,medicine.medical_specialty ,030204 cardiovascular system & hematology ,Dapsone ,Pathology and Forensic Medicine ,03 medical and health sciences ,0302 clinical medicine ,Neurotrophic factors ,In vivo ,Physiology (medical) ,Internal medicine ,Glial cell line-derived neurotrophic factor ,medicine ,Testosterone ,biology ,business.industry ,medicine.disease ,Sertoli cell ,Sperm ,030104 developmental biology ,Endocrinology ,medicine.anatomical_structure ,biology.protein ,business ,medicine.drug - Abstract
Dapsone (4, 4′-diaminodiphenylsulfone, DDS) is a potent anti-inflammatory and antibacterial compound which has been used in the treatment of leprosy, vasculitis and dermatitis herpetiformis, lupus erythematosus profundus and even as an antimalarial in combination with proguanil. This study investigated the effect of the administration of dapsone on the reproductive activities of male rats using in vivo and in vitro techniques. In the in vivo study, dapsone was administered orally to male Wistar rats for 5 days or 6 weeks after which their body weight, relative reproductive organ weights, sperm parameters and reproductive hormones were determined while testicular and epididymal histology were also assessed. Data were compared using analysis of variance and Students-Newman-Keuls multiple comparison test. For the in vitro study, Sertoli cells were cultured and treated with varying doses of dapsone at different durations, thereafter Sertoli cell viability and nuclei integrity were determined. Also, the genetic expressions of Glial cell line-derived neurotrophic factor (GDNF) and transferrin were assessed. The results obtained from the in vivo study showed a duration-dependent significant decrease in body and reproductive organ weights, sperm parameters and serum testosterone concentration. Testicular and epididymal histology also showed duration-dependent degenerative changes. However, all these changes were restored towards control values in the recovery experiment. The viability and deoxyribonucleic acid (DNA) integrity of the treated Sertoli cells showed dose and duration-dependent adverse effects while GDNF and transferrin showed normal genetic expressions. These results suggest that dapsone could induce male reproductive stress by affecting testicular and epididymal structure and function.
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- 2019
25. Bayesian Models for Zero Truncated Count Data
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Olumide S. Adesina, Pelumi E. Oguntunde, Tolulope F. Adesina, and D. A. Agunbiade
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Bayesian probability ,Statistics ,Health insurance ,Zero (complex analysis) ,General Earth and Planetary Sciences ,Bayesian inference ,General Environmental Science ,Mathematics ,Count data - Abstract
It is important to fit count data with suitable model(s), models such as Poisson Regression, Quassi Poisson, Negative Binomial, to mention but a few have been adopted by researchers to fit zero truncated count data in the past. In recent times, dedicated models for fitting zero truncated count data have been developed, and they are considered sufficient. This study proposed Bayesian multi-level Poisson and Bayesian multi-level Geometric model, Bayesian Monte Carlo Markov Chain Generalized linear Mixed Models (MCMCglmms) of zero truncated Poisson and MCMCglmms Poisson regression model to fit health count data that is truncated at zero. Suitable model selection criteria were used to determine preferred models for fitting zero truncated data. Results obtained showed that Bayesian multi-level Poisson outperformed Bayesian multi-level Poisson Geometric model; also MCMCglmms of zero truncated Poisson outperformed MCMCglmms Poisson.
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- 2019
26. Economics of row spacing and integrated weed management in soybean (Glycine max L.)
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Daramola Olumide S., Adeyemi Olusegun R., Adigun Joseph A., and Adejuyigbe Christopher O.
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lcsh:Agriculture ,integrated weed management ,lcsh:S ,row spacing ,gross profit ,economics ,soybean - Abstract
The high cost of cultivation and weed management are major limiting factors to increasing soybean productivity and net returns. Field experiments were conducted in 2016 and 2017 at the Teaching and Research Farm of the Federal University of Agriculture, Abeokuta to evaluate the economic performance of different row spacings and integrated weed management system in soybean. Three row spacings (50, 75 and 100 cm) as the main plots and six weed control methods and a weedy check as sub-plot treatments were accommodated in a split-plot arrangement of a randomized complete block design with three replications. There was a significant reduction in weed biomass with a reduction in row spacing from 100 cm to 75 cm and 50 cm. Furthermore, the cost of production, grain yield and gross profit increased with a reduction in row spacing from 100 to 75 and 50. When soybean was sown at 50-cm row spacing, the application of Probaben 400EC (metolachlor 20% w/v + prometryn 20% w/v) or Butachlor 60EC (butachlor) at 2.0 kg a.i/ha each followed by supplementary hoe-weeding at 6 weeks after sowing (WAS) resulted in the highest yield of 2301-2484 kg/ha and total revenue of 2129-1972 $/ha. Conversely, three hoe-weedings resulted in the highest yield of 2155-2081 kg/ha and total revenue of 1848-1783 $/ha for crops grown at 75- and 100-cm row spacings. Despite the higher yield and revenue obtained with three hoe-weedings for crops grown at 75- and 100-cm row spacings, the gross profit and benefit-cost ratios obtained were lower than those obtained with herbicide treatments applied alone or followed by supplementary hoeweeding. In terms of profitability, soybean planted at 50-cm row spacing and treated with Probaben 400EC at 2.0 kg a.i/ha followed by supplementary hoeweeding gave the highest gross profit of 1479 $/ha. Two or three hoe-weedings in soybean planted at narrow-row (50 cm) spacing did not guarantee the highest yield, but rather increased the cost of weed control. This study suggests that narrow-row spacing (50 cm) and pre-emergence herbicides will help to reduce the number of hoe-weedings and consequently the high cost of production required for optimum yield and increase profitability in soybean production.
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- 2019
27. Botryosphaeriaceae causing branch dieback and tree death of macadamia in Australia
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Olufemi A. Akinsanmi and Olumide S. Jeff-Ego
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0106 biological sciences ,0301 basic medicine ,biology ,Inoculation ,Plant Science ,Botryosphaeriaceae ,biology.organism_classification ,Pathogenicity ,01 natural sciences ,03 medical and health sciences ,Horticulture ,030104 developmental biology ,Cultivar ,Necrotic Lesion ,Botryosphaeria ribis ,Orchard ,Internal transcribed spacer ,010606 plant biology & botany - Abstract
Incidence of branch dieback of macadamia with characteristic symptoms including dark necrotic lesions on the wood and blackening of the vascular tissue is increasing in commercial macadamia orchards in the south-eastern production regions in Australia. In many cases, disease progresses from the branch to the main trunk resulting in total tree death and reduced orchard productivity. Previously, only Botryosphaeria ribis was associated with branch dieback of macadamia, however, recent observations suggest other species in the Botryosphaeriaceae may be involved. This study aimed to identify the causal agents of branch dieback of macadamia and examine their pathogenicity on a main macadamia cultivar (HAES 246). Thirty-four representative Botryosphaeriaceae isolates, obtained from over 150 samples of branch dieback symptoms on macadamia trees, were identified using the partial sequence of the internal transcribed spacer of the rDNA and partial sequences of β-tubulin and elongation factor gene regions. Six species in the Botryosphaeriaceae were identified. Lasiodiplodia pseudotheobromae (n = 18; 53%) was the most prevalent species, followed by Neofusiccocum parvum (n = 5; 14%), L. iraniensis (n = 4; 12%), N. luteum and L. theobromae (n = 3; 9% each) and N. australe (n = 1; 3%). Using an in planta assay, pathogenicity tests showed that all six species caused dieback and necrotic lesion symptoms on macadamia plants. Inoculated plants died within 4 weeks of inoculation, showing the characteristic symptoms (blackening of the wood tissue). Inoculation trials revealed differences in aggressiveness among the six species.
- Published
- 2018
28. Models for Zero Truncated Count Data in Medicine and Insurance
- Author
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Tolulope F. Adesina, Olumide S. Adesina, D. A. Agunbiade, and Pelumi E. Oguntunde
- Subjects
symbols.namesake ,Model selection ,Negative binomial distribution ,symbols ,Applied mathematics ,Markov chain Monte Carlo ,Poisson regression ,Bayesian inference ,Poisson distribution ,Generalized linear mixed model ,Mathematics ,Count data - Abstract
It is important to fit count data with suitable model(s), models such as Poisson Regression, Quassi Poisson, Negative Binomial, to mention but a few have been adopted by researchers to fit zero truncated count data in the past. In recent times, dedicated models for fitting zero truncated count data have been developed, and they are considered sufficient. This study proposed Bayesian multi-level Poisson and Bayesian multi-level Geometric model, Bayesian Monte Carlo Markov Chain Generalized linear Mixed Models (MCMCglmms) of zero truncated Poisson and MCMCglmms Poisson regression model to fit health count data that is truncated at zero. Data of visits to visit to the doctor of patients under National Health Insurance Scheme in Nigeria was obtained and used to fit the models. Suitable model selection criteria were used to determine preferred models for fitting zero truncated data. Results obtained showed that Bayesian multi-level Poisson outperformed Bayesian multi-level Poisson Geometric model; also MCMCglmms of zero truncated Poisson outperformed MCMCglmms Poisson.
- Published
- 2021
29. Carga y factores de riesgo para la neumonía adquirida en la comunidad de Pseudomonas aeruginosa : un estudio multinacional de prevalencia puntual de pacientes hospitalizados
- Author
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Restrepo M. I., Babu B. L., Reyes L. F., Chalmers J. D., Soni N. J., Sibila O., Faverio P., Cilloniz C., Rodriguez-Cintron W., Aliberti S., Aruj P. K., Attorri S., Barimboim E., Caeiro J. P., Garzon M. I., Cambursano V. H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A. C., de Vedia L., Ganaha M. C., Lambert S., Lopardo G., Luna C. M., Malberti A. G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P. G., Stagnaro J. P., Shah S., Lotsch F., Thalhammer F., Anseeuw K., Francois C. A., Van Braeckel E., Vincent J. L., Djimon M. Z., Bashi J., Dodo R., Nouer S. A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo Balkissou A., Pefura Yone E. W., Mbatchou Ngahane B. H., Shen N., Xu J. F., Bustamante Rico C. A., Buitrago R., Pereira Paternina F. J., Kayembe Ntumba J. M., Carevic V. V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Bouchy Jacobsson M. L., Bro Christensen A., Heitmann Bodtger U. C., Niels Meyer C., Vestergaard Jensen A., Baunbaek-Knudsen G., Petersen P. T., Andersen S., Abd El-Wahhab I. E., Elsayed Morsy N., Shafiek H., Sobh E., Abdella Abdulsemed K., Bertrand F., Brun-Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Khoury A., Ebruke B., Dreher M., Kolditz M., Meisinger M., Pletz M. W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Creutz P., Suttorp N., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Kaimakamis E., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P. A., Mahesh P. A., Jayaraj B. S., Narayan K. V., Udnur H. B., Krishnamurthy S. B., Kant S., Swarnakar R., Limaye S., Salvi S., Golshani K., Keatings V. M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., Monforte A. D., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M. A., Menzella F., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Franzetti F., Carugati M., Morosi M., Monge E., Carone M., Patella V., Scarlata S., Comel A., Kurahashi K., Bacha Z. A., Ugalde D. B., Zuniga O. C., Villegas J. F., Medenica M., van de Garde E. M. W., Raj Mihsra D., Shrestha P., Ridgeon E., Awokola B. I., Nwankwo O. N. O., Olufunlola A. B., Olumide S., Ukwaja K. N., Irfan M., Minarowski L., Szymon S., Froes F., Leuschner P., Meireles M., Ferrao C., Neves J., Ravara S. B., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Dorobat C. M., Birkun A., Kaluzhenina A., Almotairi A., Ali Bukhary Z. A., Edathodu J., Fathy A., Abdulaziz Enani A. M., Mohamed N. E., Memon J. U., Bella A., Bogdanovic N., Milenkovic B., Pesut D., Feldman C., Yum H. K., Borderias L., Bordon Garcia N. M., Cabello Alarcon H., Torres A., Diaz-Brito V., Casas X., Gonzalez A. E., Fernandez-Almira M. L., Gallego M., Gaspar-Garcia I., Del Castillo J. G., Victoria P. J., Martinez E. L., de Molina R. M., Marcos P. J., Menendez R., Pando-Sandoval A., Aymerich C. P., de la Torre A. L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J. F. M., Torra E. V., Pujol J. A., Fiogbe A. A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D. J., Feneley A., Ions R., Skeemer J., Woltmann G., Hancock C., Hill A. T., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Youzguin A., Singanayagam A., Allen K. S., Brito V., Dietz J., Dysart C. E., Kellie S. M., Zablocki C. J., MurphyMurphy R. G., Franco-Sadud R. A., Meier G., Gaga M., Holland T. L., Bergin S. P., Kheir F., Landmeier M., Lois M., Nair G. B., Patel H., Saito S., Noda J., Hinojosa C. I., Levine S. M., Angel L. F., Anzueto A., Whitlow K. S., Hipskind J., Sukhija K., Totten V., Wunderink R. G., Shah R. D., Mateyo K. J., Noriega L., Alvarado E., Aman M., Labra L., Restrepo, M. I., Babu, B. L., Reyes, L. F., Chalmers, J. D., Soni, N. J., Sibila, O., Faverio, P., Cilloniz, C., Rodriguez-Cintron, W., Aliberti, S., Aruj, P. K., Attorri, S., Barimboim, E., Caeiro, J. P., Garzon, M. I., Cambursano, V. H., Ceccato, A., Chertcoff, J., Lascar, F., Di Tulio, F., Diaz, A. C., de Vedia, L., Ganaha, M. C., Lambert, S., Lopardo, G., Luna, C. M., Malberti, A. G., Morcillo, N., Tartara, S., Pensotti, C., Pereyra, B., Scapellato, P. G., Stagnaro, J. P., Shah, S., Lotsch, F., Thalhammer, F., Anseeuw, K., Francois, C. A., Van Braeckel, E., Vincent, J. L., Djimon, M. Z., Bashi, J., Dodo, R., Nouer, S. A., Chipev, P., Encheva, M., Miteva, D., Petkova, D., Dodo Balkissou, A., Pefura Yone, E. W., Mbatchou Ngahane, B. H., Shen, N., Xu, J. F., Bustamante Rico, C. A., Buitrago, R., Pereira Paternina, F. J., Kayembe Ntumba, J. M., Carevic, V. V., Jakopovic, M., Jankovic, M., Matkovic, Z., Mitrecic, I., Bouchy Jacobsson, M. L., Bro Christensen, A., Heitmann Bodtger, U. C., Niels Meyer, C., Vestergaard Jensen, A., Baunbaek-Knudsen, G., Petersen, P. T., Andersen, S., Abd El-Wahhab, I. E., Elsayed Morsy, N., Shafiek, H., Sobh, E., Abdella Abdulsemed, K., Bertrand, F., Brun-Buisson, C., de Montmollin, E., Fartoukh, M., Messika, J., Tattevin, P., Khoury, A., Ebruke, B., Dreher, M., Kolditz, M., Meisinger, M., Pletz, M. W., Hagel, S., Rupp, J., Schaberg, T., Spielmanns, M., Creutz, P., Suttorp, N., Siaw-Lartey, B., Dimakou, K., Papapetrou, D., Tsigou, E., Ampazis, D., Kaimakamis, E., Bhatia, M., Dhar, R., D'Souza, G., Garg, R., Koul, P. A., Mahesh, P. A., Jayaraj, B. S., Narayan, K. V., Udnur, H. B., Krishnamurthy, S. B., Kant, S., Swarnakar, R., Limaye, S., Salvi, S., Golshani, K., Keatings, V. M., Martin-Loeches, I., Maor, Y., Strahilevitz, J., Battaglia, S., Carrabba, M., Ceriana, P., Confalonieri, M., Monforte, A. D., Del Prato, B., De Rosa, M., Fantini, R., Fiorentino, G., Gammino, M. A., Menzella, F., Milani, G., Nava, S., Palmiero, G., Petrino, R., Gabrielli, B., Rossi, P., Sorino, C., Steinhilber, G., Zanforlin, A., Franzetti, F., Carugati, M., Morosi, M., Monge, E., Carone, M., Patella, V., Scarlata, S., Comel, A., Kurahashi, K., Bacha, Z. A., Ugalde, D. B., Zuniga, O. C., Villegas, J. F., Medenica, M., van de Garde, E. M. W., Raj Mihsra, D., Shrestha, P., Ridgeon, E., Awokola, B. I., Nwankwo, O. N. O., Olufunlola, A. B., Olumide, S., Ukwaja, K. N., Irfan, M., Minarowski, L., Szymon, S., Froes, F., Leuschner, P., Meireles, M., Ferrao, C., Neves, J., Ravara, S. B., Brocovschii, V., Ion, C., Rusu, D., Toma, C., Chirita, D., Dorobat, C. M., Birkun, A., Kaluzhenina, A., Almotairi, A., Ali Bukhary, Z. A., Edathodu, J., Fathy, A., Abdulaziz Enani, A. M., Mohamed, N. E., Memon, J. U., Bella, A., Bogdanovic, N., Milenkovic, B., Pesut, D., Feldman, C., Yum, H. K., Borderias, L., Bordon Garcia, N. M., Cabello Alarcon, H., Torres, A., Diaz-Brito, V., Casas, X., Gonzalez, A. E., Fernandez-Almira, M. L., Gallego, M., Gaspar-Garcia, I., Del Castillo, J. G., Victoria, P. J., Martinez, E. L., de Molina, R. M., Marcos, P. J., Menendez, R., Pando-Sandoval, A., Aymerich, C. P., de la Torre, A. L., Garcia-Olive, I., Rello, J., Moyano, S., Sanz, F., Rodrigo-Troyano, A., Sole-Violan, J., Uranga, A., van Boven, J. F. M., Torra, E. V., Pujol, J. A., Fiogbe, A. A., Yangui, F., Bilaceroglu, S., Dalar, L., Yilmaz, U., Bogomolov, A., Elahi, N., Dhasmana, D. J., Feneley, A., Ions, R., Skeemer, J., Woltmann, G., Hancock, C., Hill, A. T., Rudran, B., Ruiz-Buitrago, S., Campbell, M., Whitaker, P., Youzguin, A., Singanayagam, A., Allen, K. S., Brito, V., Dietz, J., Dysart, C. E., Kellie, S. M., Zablocki, C. J., Murphymurphy, R. G., Franco-Sadud, R. A., Meier, G., Gaga, M., Holland, T. L., Bergin, S. P., Kheir, F., Landmeier, M., Lois, M., Nair, G. B., Patel, H., Saito, S., Noda, J., Hinojosa, C. I., Levine, S. M., Angel, L. F., Anzueto, A., Whitlow, K. S., Hipskind, J., Sukhija, K., Totten, V., Wunderink, R. G., Shah, R. D., Mateyo, K. J., Noriega, L., Alvarado, E., Aman, M., Labra, L., Restrepo, M, Babu, B, Reyes, L, Chalmers, J, Soni, N, Sibila, O, Faverio, P, Cilloniz, C, Rodriguez-Cintron, W, Aliberti, S, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Groningen Research Institute for Asthma and COPD (GRIAC), Restrepo M.I., Babu B.L., Reyes L.F., Chalmers J.D., Soni N.J., Sibila O., Faverio P., Cilloniz C., Rodriguez-Cintron W., Aliberti S., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Garzon M.I., Cambursano V.H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A.C., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Shah S., Lotsch F., Thalhammer F., Anseeuw K., Francois C.A., Van Braeckel E., Vincent J.L., Djimon M.Z., Bashi J., Dodo R., Nouer S.A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo Balkissou A., Pefura Yone E.W., Mbatchou Ngahane B.H., Shen N., Xu J.F., Bustamante Rico C.A., Buitrago R., Pereira Paternina F.J., Kayembe Ntumba J.M., Carevic V.V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Bouchy Jacobsson M.L., Bro Christensen A., Heitmann Bodtger U.C., Niels Meyer C., Vestergaard Jensen A., Baunbaek-Knudsen G., Petersen P.T., Andersen S., Abd El-Wahhab I.E., Elsayed Morsy N., Shafiek H., Sobh E., Abdella Abdulsemed K., Bertrand F., Brun-Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Khoury A., Ebruke B., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Creutz P., Suttorp N., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Ampazis D., Kaimakamis E., Bhatia M., Dhar R., D'Souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Kant S., Swarnakar R., Limaye S., Salvi S., Golshani K., Keatings V.M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., Monforte A.D., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M.A., Menzella F., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Sorino C., Steinhilber G., Zanforlin A., Franzetti F., Carugati M., Morosi M., Monge E., Carone M., Patella V., Scarlata S., Comel A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Raj Mihsra D., Shrestha P., Ridgeon E., Awokola B.I., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymon S., Froes F., Leuschner P., Meireles M., Ferrao C., Neves J., Ravara S.B., Brocovschii V., Ion C., Rusu D., Toma C., Chirita D., Dorobat C.M., Birkun A., Kaluzhenina A., Almotairi A., Ali Bukhary Z.A., Edathodu J., Fathy A., Abdulaziz Enani A.M., Mohamed N.E., Memon J.U., Bella A., Bogdanovic N., Milenkovic B., Pesut D., Feldman C., Yum H.K., Borderias L., Bordon Garcia N.M., Cabello Alarcon H., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., Fernandez-Almira M.L., Gallego M., Gaspar-Garcia I., Del Castillo J.G., Victoria P.J., Martinez E.L., de Molina R.M., Marcos P.J., Menendez R., Pando-Sandoval A., Aymerich C.P., de la Torre A.L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F.M., Torra E.V., Pujol J.A., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Feneley A., Ions R., Skeemer J., Woltmann G., Hancock C., Hill A.T., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Youzguin A., Singanayagam A., Allen K.S., Brito V., Dietz J., Dysart C.E., Kellie S.M., Zablocki C.J., MurphyMurphy R.G., Franco-Sadud R.A., Meier G., Gaga M., Holland T.L., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Saito S., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Anzueto A., Whitlow K.S., Hipskind J., Sukhija K., Totten V., Wunderink R.G., Shah R.D., Mateyo K.J., Noriega L., Alvarado E., Aman M., and Labra L.
- Subjects
Pneumonia, Pseudomonas aeruginosa ,Male ,antibiotic resistance ,Internationality ,Cross-sectional study ,bacterial colonization ,very elderly ,Prevalence ,Drug Resistance ,Drug resistance ,Pneumònia adquirida a la comunitat ,Pseudomonas aeruginosa community acquired pneumonia ,Pulmonary Disease, Chronic Obstructive ,0302 clinical medicine ,Tracheostomy ,Community-acquired pneumonia ,Risk Factors ,Epidemiology ,80 and over ,Medicine ,Community-Acquired Infection ,030212 general & internal medicine ,Aged, 80 and over ,Cross Infection ,adult ,article ,Bacterial ,Middle Aged ,Antibiotic coverage ,Bronchiectasis ,Community-Acquired Infections ,hospital patient ,priority journal ,risk factor ,Aged ,Cross-Sectional Studies ,Drug Resistance, Bacterial ,Female ,Humans ,Logistic Models ,Pneumonia, Bacterial ,Pseudomonas aeruginosa ,Infectious diseases ,Human ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Chronic Obstructive ,Logistic Model ,Admission ,Settore MED/10 - Malattie Dell'Apparato Respiratorio ,chronic lung disease ,Pulmonary Disease ,03 medical and health sciences ,Bronchiectasi ,Internal medicine ,Pseudomonas ,controlled study ,human ,Cross-Sectional Studie ,business.industry ,Risk Factor ,community acquired pneumonia ,Pneumonia ,medicine.disease ,logistic regression analysis ,major clinical study ,antibiotic sensitivity ,hospital admission ,030228 respiratory system ,microbiological examination ,business ,chronic obstructive lung disease - Abstract
Pseudomonas aeruginosa is a challenging bacterium to treat due to its intrinsic resistance to the antibiotics used most frequently in patients with community-acquired pneumonia (CAP). Data about the global burden and risk factors associated with P. aeruginosa-CAP are limited. We assessed the multinational burden and specific risk factors associated with P. aeruginosa-CAP. We enrolled 3193 patients in 54 countries with confirmed diagnosis of CAP who underwent microbiological testing at admission. Prevalence was calculated according to the identification of P. aeruginosa. Logistic regression analysis was used to identify risk factors for antibiotic-susceptible and antibiotic-resistant P. aeruginosa-CAP. The prevalence of P. aeruginosa and antibiotic-resistant P. aeruginosa-CAP was 4.2% and 2.0%, respectively. The rate of P. aeruginosa CAP in patients with prior infection/colonisation due to P. aeruginosa and at least one of the three independently associated chronic lung diseases (i.e. tracheostomy, bronchiectasis and/or very severe chronic obstructive pulmonary disease) was 67%. In contrast, the rate of P. aeruginosa-CAP was 2% in patients without prior P. aeruginosa infection/colonisation and none of the selected chronic lung diseases. The multinational prevalence of P. aeruginosa-CAP is low. The risk factors identified in this study may guide healthcare professionals in deciding empirical antibiotic coverage for CAP patients.
- Published
- 2018
30. Patógenos atípicos en pacientes hospitalizados con neumonía adquirida en la comunidad: una perspectiva mundial
- Author
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Gramegna A., Sotgiu G., Di Pasquale M., Radovanovic D., Terraneo S., Reyes L. F., Vendrell E., Neves J., Menzella F., Blasi F., Aliberti S., Restrepo M. I., Aruj P. K., Attorri S., Barimboim E., Caeiro J. P., Cambursano V. H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A. C., de Vedia L., Ganaha M. C., Lambert S., Lopardo G., Luna C. M., Malberti A. G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P. G., Stagnaro J. P., Lotsch F., Vincent J. L., Anseeuw K., Francois C. A., Van Braeckel E., Djimon M. Z., Bashi J., Roger D., Nouer S. A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo B. A., Hugo M. N. B., Shen N., Xu J. -F., Rico C. A. B., Buitrago R., Paternina F. J. P., Jean-Marie K. N., Carevic V. V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M. -L. B., Christensen A. B., HeitmannBodtger U. C., Meyer C. N., Jensen A. V., Baunbaek-knudsen G., Petersen P. T., Andersen S., El-Wahhab I. E. -S. A., Morsy N. E., Shafi ek H., Sobh E., Bertrand F., Brun- Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M. W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Bhatia M., Ampazis D., Dhar R., D'Souza G., Garg R., Koul P. A., Mahesh P. A., Jayaraj B. S., Narayan K. V., Udnur H. B., Krishnamurthy S. B., Golshani K., Keatings V. M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., d'Arminio A., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M. A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z. A., Ugalde D. B., Zuniga O. C., Villegas J. F., Medenica M., van de Garde E. M. W., Mihsra D. R., Ridgeon E., Nwankwo O. N. O., Olufunlola A. B., Olumide S., Ukwaja K. N., Irfan M., Minarowski L., Szymo S., Froes F., Meireles M., Ferrao C., Leuschner P., Ravara S. B., Brocovschii V., Ion C., Rusu D., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z. A. A., Edathodu J., Fathy A., Enani A. M. A., Mohamed N. E., Memon J. U., Bogdanovic N., Milenkovic B., Borderias L., Garcia N. M. B., Alarcon H. C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A. E., FernandezAlmira M. L., Gallego M., Gaspar-GarcIa I., del Castillo J. G., Victoria P. J., Martinez E. L., de Molina R. M., Marcos P. J., Menendez R., Pando-Sandoval A., Aymerich C. P., del la Torre A. L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J. F. M., Torra E. V., Pujol J. A., Feldman C., Yum H. K., Fiogbe A. A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D. J., Ions R., Skeemer J., Woltmann G., Hancock C., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Allen K. S., Brito V., Dietz J., Dysart C. E., Franco-Sadud R. A., Kellie G. M. S. M., Gaga M., Bergin S. P., Kheir F., Landmeier M., Lois M., Nair G. B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N. J., Noda J., Hinojosa C. I., Levine S. M., Angel L. F., Anzueto A., Whitlow K. S., Hipskind J., Sukhija K., Wunderink R. G., Shah R. D., Mateyo K. J., Gramegna A., Sotgiu G., Di Pasquale M., Radovanovic D., Terraneo S., Reyes L.F., Vendrell E., Neves J., Menzella F., Blasi F., Aliberti S., Restrepo M.I., Aruj P.K., Attorri S., Barimboim E., Caeiro J.P., Cambursano V.H., Ceccato A., Chertcoff J., Lascar F., Di Tulio F., Diaz A.C., de Vedia L., Ganaha M.C., Lambert S., Lopardo G., Luna C.M., Malberti A.G., Morcillo N., Tartara S., Pensotti C., Pereyra B., Scapellato P.G., Stagnaro J.P., Lotsch F., Vincent J.L., Anseeuw K., Francois C.A., Van Braeckel E., Djimon M.Z., Bashi J., Roger D., Nouer S.A., Chipev P., Encheva M., Miteva D., Petkova D., Dodo B.A., Hugo M.N.B., Shen N., Xu J.-F., Rico C.A.B., Buitrago R., Paternina F.J.P., Jean-Marie K.N., Carevic V.V., Jakopovic M., Jankovic M., Matkovic Z., Mitrecic I., Jacobsson M.-L.B., Christensen A.B., HeitmannBodtger U.C., Meyer C.N., Jensen A.V., Baunbaek-knudsen G., Petersen P.T., Andersen S., El-Wahhab I.E.-S.A., Morsy N.E., Shafi ek H., Sobh E., Bertrand F., Brun- Buisson C., de Montmollin E., Fartoukh M., Messika J., Tattevin P., Dreher M., Kolditz M., Meisinger M., Pletz M.W., Hagel S., Rupp J., Schaberg T., Spielmanns M., Siaw-Lartey B., Dimakou K., Papapetrou D., Tsigou E., Bhatia M., Ampazis D., Dhar R., D'Souza G., Garg R., Koul P.A., Mahesh P.A., Jayaraj B.S., Narayan K.V., Udnur H.B., Krishnamurthy S.B., Golshani K., Keatings V.M., Martin-Loeches I., Maor Y., Strahilevitz J., Battaglia S., Carrabba M., Ceriana P., Confalonieri M., d'Arminio A., Del Prato B., De Rosa M., Fantini R., Fiorentino G., Gammino M.A., Milani G., Nava S., Palmiero G., Petrino R., Gabrielli B., Rossi P., Steinhilber G., Zanforlin A., Kurahashi K., Bacha Z.A., Ugalde D.B., Zuniga O.C., Villegas J.F., Medenica M., van de Garde E.M.W., Mihsra D.R., Ridgeon E., Nwankwo O.N.O., Olufunlola A.B., Olumide S., Ukwaja K.N., Irfan M., Minarowski L., Szymo S., Froes F., Meireles M., Ferrao C., Leuschner P., Ravara S.B., Brocovschii V., Ion C., Rusu D., Chirita D., Birkun A., Kaluzhenina A., Almotairi A., Bukhary Z.A.A., Edathodu J., Fathy A., Enani A.M.A., Mohamed N.E., Memon J.U., Bogdanovic N., Milenkovic B., Borderias L., Garcia N.M.B., Alarcon H.C., Cilloniz C., Torres A., Diaz-Brito V., Casas X., Gonzalez A.E., FernandezAlmira M.L., Gallego M., Gaspar-GarcIa I., del Castillo J.G., Victoria P.J., Martinez E.L., de Molina R.M., Marcos P.J., Menendez R., Pando-Sandoval A., Aymerich C.P., del la Torre A.L., Garcia-Olive I., Rello J., Moyano S., Sanz F., Sibila O., Rodrigo-Troyano A., Sole-Violan J., Uranga A., van Boven J.F.M., Torra E.V., Pujol J.A., Feldman C., Yum H.K., Fiogbe A.A., Yangui F., Bilaceroglu S., Dalar L., Yilmaz U., Bogomolov A., Elahi N., Dhasmana D.J., Ions R., Skeemer J., Woltmann G., Hancock C., Rudran B., Ruiz-Buitrago S., Campbell M., Whitaker P., Allen K.S., Brito V., Dietz J., Dysart C.E., Franco-Sadud R.A., Kellie G.M.S.M., Gaga M., Bergin S.P., Kheir F., Landmeier M., Lois M., Nair G.B., Patel H., Reyes K., Rodriguez-Cintron W., Saito S., Soni N.J., Noda J., Hinojosa C.I., Levine S.M., Angel L.F., Anzueto A., Whitlow K.S., Hipskind J., Sukhija K., Wunderink R.G., Shah R.D., and Mateyo K.J.
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medicine.medical_specialty ,Atypical pathogens ,Epidemiology ,Population ,Settore MED/10 - Malattie Dell'Apparato Respiratorio ,lcsh:Infectious and parasitic diseases ,03 medical and health sciences ,0302 clinical medicine ,Medical microbiology ,Community-acquired pneumonia ,Internal medicine ,Risk Factors ,Medicine ,lcsh:RC109-216 ,030212 general & internal medicine ,education ,Aged, 80 and over ,education.field_of_study ,business.industry ,Incidence (epidemiology) ,Atypical pathogen ,Healthcare-Associated Pneumonia ,Chlamydophila pneumoniae ,medicine.disease ,Antibiotic coverage ,CAP ,Pneumonia ,Infectious Diseases ,030228 respiratory system ,Legionnaires' disease ,business ,Research Article - Abstract
Background Empirical antibiotic coverage for atypical pathogens in community-acquired pneumonia (CAP) has long been debated, mainly because of a lack of epidemiological data. We aimed to assess both testing for atypical pathogens and their prevalence in hospitalized patients with CAP worldwide, especially in relation with disease severity. Methods A secondary analysis of the GLIMP database, an international, multicentre, point-prevalence study of adult patients admitted for CAP in 222 hospitals across 6 continents in 2015, was performed. The study evaluated frequency of testing for atypical pathogens, including L. pneumophila, M. pneumoniae, C. pneumoniae, and their prevalence. Risk factors for testing and prevalence for atypical pathogens were assessed through univariate analysis. Results Among 3702 CAP patients 1250 (33.8%) underwent at least one test for atypical pathogens. Testing varies greatly among countries and its frequency was higher in Europe than elsewhere (46.0% vs. 12.7%, respectively, p L. pneumophila urinary antigen was the most common test performed worldwide (32.0%). Patients with severe CAP were less likely to be tested for both atypical pathogens considered together (30.5% vs. 35.0%, p = 0.009) and specifically for legionellosis (28.3% vs. 33.5%, p = 0.003) than the rest of the population. Similarly, L. pneumophila testing was lower in ICU patients. At least one atypical pathogen was isolated in 62 patients (4.7%), including M. pneumoniae (26/251 patients, 10.3%), L. pneumophila (30/1186 patients, 2.5%), and C. pneumoniae (8/228 patients, 3.5%). Patients with CAP due to atypical pathogens were significantly younger, showed less cardiovascular, renal, and metabolic comorbidities in comparison to adult patients hospitalized due to non-atypical pathogen CAP. Conclusions Testing for atypical pathogens in patients admitted for CAP in poorly standardized in real life and does not mirror atypical prevalence in different settings. Further evidence on the impact of atypical pathogens, expecially in the low-income countries, is needed to guidelines implementation.
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- 2018
31. Variations in macadamia varietal susceptibility to Phytophthora multivora and P. cinnamomi
- Author
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Olufemi A. Akinsanmi, J. Henderson, Andre Drenth, Olumide S. Jeff-Ego, and Bruce Topp
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Canker ,Germplasm ,biology ,Phytophthora multivora ,Inoculation ,fungi ,Defence mechanisms ,food and beverages ,lcsh:A ,medicine.disease ,biology.organism_classification ,Horticulture ,Genetic marker ,Genotype ,medicine ,Phytophthora ,lcsh:General Works ,tree nuts ,proteacea ,pathogen - Abstract
Incidence of diseases caused by various Phytophthora spp. in macadamia is increasing worldwide, often resulting in severe yield loss and death of both juvenile and old macadamia trees. In Australia, P. cinnamomi and P. multivora has been identified to cause severe stem canker in macadamia orchards. Currently, various varietal improvement research programs on macadamia are underway, not only to obtain high-yielding and precocious macadamia germplasm but to develop macadamia genotypes with acceptable levels of tolerance/resistance to pests and diseases. In this study, we selected macadamia genotypes for their acceptable levels of tolerance/resistance to Phytophthora infection, after screening about 360 macadamia genotypes against to P. cinnamomi and P. multivora, using a rapid detached leaf and plant inoculation assays. These macadamia plant materials were collected from a major macadamia arboretum in Queensland. Our results revealed segregation of macadamia genotypes into two spectrum of susceptible and tolerant macadamia genotypes. Hence, strong representatives within the tolerant and susceptible spectrum were further investigated in order to understand if the basis of the differential response is driven by a variation in structural, physiological or genetic markers, following a challenge with Phytophthora spp. Our result revealed a marked variation in structural response during the infection process, between the selected susceptible, ‘HAES816’ and tolerant germplasm and ‘HAES344’. This information will provide evidence to support potential preferential selection of tolerant macadamia genotypes potentially useful for breeding against Phytophthora diseases. Further studies will characterize tolerant macadamia progenies to develop marker-assisted selection protocols for resistance, and explore defense mechanisms response.
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- 2020
32. Timing of weed management and yield penalty due to delayed weed management in soybean
- Author
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Olumide S. Daramola
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Limiting factor ,weed control ,QH301-705.5 ,Physiology ,media_common.quotation_subject ,Randomized block design ,Plant Science ,Biology ,Biochemistry ,Competition (biology) ,Crop ,Yield (wine) ,parasitic diseases ,critical period Glycine max (L.) Merrill ,Biology (General) ,weed infestation ,media_common ,fungi ,Botany ,food and beverages ,Sowing ,respiratory system ,Weed control ,manual weeding ,Agronomy ,QK1-989 ,Weed ,Agronomy and Crop Science - Abstract
Background: Weed interference is a major limiting factor for economically viable soybean production. Appropriate timing of weed management would enable farmers to make more efficient use of resources for weed management. Objective: The objective of this study was to determine the critical period for weed competition and appropriate timing of weed management for optimum yield of soybean. Methods: The treatments consisted of periods of weed infestation and weed removal for the first 14, 28, 42 and 56 days after sowing (DAS), and till harvest in a randomized complete block design with three replications in 2016 and 2017. Results: Soybean yields in both years ranged from 914-945 kg ha-1 with no weed control to 1,984-2,127 kg ha-1 in the weed-free plots; a yield loss of 53-56. Weed infestation for the first 14 DAS had no detrimental effect on growth and yield of soybean provided the weeds were subsequently removed. Increasing period of weed interference from 14 to 42 DAS resulted in a steady decline in growth and yield of soybean. Yield losses equivalent of 32-37 kg ha-1 resulted for each day that weed control was delayed between 14 and 42 DAS. Subsequent weed control after 42 DAS did not improve growth and yield significantly, nor obviate yield depression of the crop compared to crop weed-infested till harvest. Conclusions: Results indicated that the critical period of weed competition in soybean was between 14 and 42 DAS. Hence soybean should be maintained weed-free during this period to avoid high yield loss.
- Published
- 2020
33. Assessing the Role of Trade Liberalization in Facilitating Trade Flows and Economic Expansion: Evidence from ECOWAS Countries
- Author
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Oluwatoyin Matthew, Jeremiah O. Ejemeyovwi, Olumide S. Adesina, Romanus Osabohien, and F.B. Adegboye
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Globalization ,Economic expansion ,Liberalization ,Trade facilitation ,Accountability ,Life expectancy ,Economics ,International economics ,Baseline (configuration management) ,Free trade - Abstract
Liberalization of trade is a universal subject globally and in the West African region as well. Despite liberalization policies, there are fundamental concerns that are inherent regarding the West African region, depicting minimal intra-regional trade as against higher inter-regional trade for the region, including an enormous level of unaccounted exports, making development for the region rather implausible. This study aimed at examining the effect of trade liberalization on economic development in the (ECOWAS) region. It used pooled data for fourteen West African countries for the period within years 2000 and 2017. The method of analysis utilized was the pooled ordinary least square baseline regression, generalized least square, fixed and random effect model technique. The study found the trade liberalization had insignificant impact in relation to economic development for the region. It was discovered that the member countries despite efforts regarding liberalization were not at all ready for the technicalities of liberalization to say the least, hence consequently showing reason for minimal and unaccountable trade within the region. Thus, the study recommends that the government of ECOWAS countries should consider their level of readiness to generously benefit from the policies regarding liberalization in the region. It is beneficial as well, that the level and accountability of intra-regional trade should be enhanced so as to ensure that gains of these strategies are fully exploited by member economies to provide required increase in income, better education, improved life expectancy, enhanced socio-economic environment adequate to create anticipated economic development for the ECOWAS member countries.
- Published
- 2020
34. The aqueous extract ofOcimum gratissimumleaves ameliorates acetic acid-induced colitis via improving antioxidant status and hematological parameters in male Wistar rats
- Author
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Quadri K. Alabi, Olumide S. Akinsomisoye, Modinat A. Adefisayo, Rufus O. Akomolafe, and Kehinde P. Olamilosoye
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Antioxidant ,medicine.medical_treatment ,Biomedical Engineering ,01 natural sciences ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,03 medical and health sciences ,Acetic acid ,chemistry.chemical_compound ,0302 clinical medicine ,Structural Biology ,medicine ,Colitis ,lcsh:QH301-705.5 ,Beneficial effects ,Aqueous extract ,lcsh:R5-920 ,biology ,Traditional medicine ,Ocimum gratissimum ,medicine.disease ,biology.organism_classification ,0104 chemical sciences ,010404 medicinal & biomolecular chemistry ,lcsh:Biology (General) ,chemistry ,030211 gastroenterology & hepatology ,lcsh:Medicine (General) - Abstract
The beneficial effects of Ocimum gratissimum, have been attributed mainly to its antioxidant and anti-inflammatory properties. This study investigated the protective effects of aqueous extract of Ocimum gratissimum leaves (AEOGL) on acetic acid induced colitis in male rats. Twenty male Wistar rats, 100–180 g were divided into four groups as follows: Group 1 (control) (n = 5) received 2 ml/kg of distilled water for 21 consecutive days. Group 2 (n = 5) received 2 ml of 6% acetic acid solution once intra rectally for induction of colitis. Group 3 and 4 (n = 5 each) were treated as group 2 and thereafter received AEOGL orally at 200 and 400 mg/kg/day respectively for 20 consecutive days. All the animals from each group were sacrificed 24 h after the induction of colitis and administration of AEOGL. The diarrhea score, ulcer score, hematological parameters, nitric oxide (NO), myeloperoxidase (MPO), superoxide dismutase (SOD), reduced glutathione (GSH) markers and histopathological alteration were evaluated. Acetic acid-induced colitis significantly caused alteration in diarrhea score, ulcer score, hematological parameters, MPO and SOD activities, NO and GSH levels (p
- Published
- 2018
35. An international perspective on hospitalized patients with viral community-acquired pneumonia
- Author
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Radovanovic, D., Sotgiu, G., Jankovic, M., Mahesh, P.A., Marcos, P.J., Abdalla, M.I., Di Pasquale, M.F., Gramegna, A., Terraneo, S., Blasi, F., Santus, P., Aliberti, S., Reyes, L.F., Restrepo, M.I., Aruj, P.K., Attorri, S., Barimboim, E., Caeiro, J.P., Garzón, M.I., Cambursano, V.H., Ceccato, A., Chertcoff, J., Cordon Díaz, A., de Vedia, L., Ganaha, M.C., Lambert, S., Lopardo, G., Luna, C.M., Malberti, A.G., Morcillo, N., Tartara, S., Pensotti, C., Pereyra, B., Scapellato, P.G., Stagnaro, J.P., Shah, S., Lötsch, F., Thalhammer, F., Anseeuw, K., Francois, C.A., Van Braeckel, E., Vincent, J.L., Djimon, M.Z., Aranha Nouér, S., Chipev, P., Encheva, M., Miteva, D., Petkova, D., Balkissou, A.D., Pefura Yone, E.W., Mbatchou Ngahane, B.H., Shen, N., Xu, J.F., Bustamante Rico, C.A., Buitrago, R., Pereira Paternina, F.J., Kayembe Ntumba, J.M., Vladic-Carevic, V., Jakopovic, M., Matkovic, Z., Mitrecic, I., Bouchy Jacobsson, M.L., Bro Christensen, A., Heitmann Bødtger, U.C., Meyer, C.N., Vestergaard Jensen, A., El-Said Abd El-Wahhab, I., Elsayed Morsy, N., Shafiek, H., Sobh, E., Abdulsemed, K.A., Bertrand, F., Brun-Buisson, C., de Montmollin, E., Fartoukh, M., Messika, J., Tattevin, P., Khoury, A., Ebruke, B., Dreher, M., Kolditz, M., Meisinger, M., Pletz, M.W., Hagel, S., Rupp, J., Schaberg, T., Spielmanns, M., Creutz, P., Suttorp, N., Siaw-Lartey, B., Dimakou, K., Papapetrou, D., Tsigou, E., Ampazis, D., Kaimakamis, E., Bhatia, M., Dhar, R., D'Souza, G., Garg, R., Koul, P.A., Jayaraj, B.S., Narayan, K.V., Udnur, H.B., Krishnamurthy, S.B., Kant, S., Swarnakar, R., Salvi, S., Limaye, S., Golshani, K., Keatings, V.M., Martin-Loeches, I., Maor, Y., Strahilevitz, J., Battaglia, S., Carrabba, M., Ceriana, P., Confalonieri, M., d'Arminio Monforte, A., Del Prato, B., De Rosa, M., Fantini, R., Fiorentino, G., Gammino, M.A., Menzella, F., Milani, G., Nava, S., Palmiero, G., Petrino, R., Gabrielli, B., Rossi, P., Sorino, C., Steinhilber, G., Zanforlin, A., Franzetti, F., Carone, M., Patella, V., Scarlata, S., Comel, A., Kurahashi, K., Aoun Bacha, Z., Barajas Ugalde, D., Ceballos Zuñiga, O., Villegas, J.F., Medenica, M., van de Garde, E.M.W., Raj Mihsra, D., Shrestha, P., Ridgeon, E., Ishola Awokola, B., Nwankwo, O.N.O., Olufunlola, A.B., Olumide, S., Ukwaja, K.N., Irfan, M., Minarowski, L., Szymon, S., Froes, F., Leuschner, P., Meireles, M., Ferrão, C., Neves, J., Ravara, S.B., Brocovschii, V., Ion, C., Rusu, D., Toma, C., Chirita, D., Dorobat, C.M., Birkun, A., Kaluzhenina, A., Almotairi, A., Bukhary, Z.A.A., Edathodu, J., Fathy, A., Mushira Abdulaziz Enani, A., Eltayeb Mohamed, N., Ulhadi Memon, J., Bella, A., Bogdanovic, N., Milenkovic, B., Pesut, D., Borderìas, L., Bordon Garcia, N.M., Cabello Alarcón, H., Cilloniz, C., Torres, A., Diaz-Brito, V., Casas, X., Encabo González, A., Fernández-Almira, M.L., Gallego, M., Gaspar-GarcÍa, I., González Del Castillo, J., Javaloyes Victoria, P., Laserna Martínez, E., Malo de Molina, R., and Menéndez, R.
- Subjects
viruses - Abstract
Background: Who should be tested for viruses in patients with community acquired pneumonia (CAP), prevalence and risk factors for viral CAP are still debated. We evaluated the frequency of viral testing, virus prevalence, risk factors and treatment coverage with oseltamivir in patients admitted for CAP. Methods: Secondary analysis of GLIMP, an international, multicenter, point-prevalence study of hospitalized adults with CAP. Testing frequency, prevalence of viral CAP and treatment with oseltamivir were assessed among patients who underwent a viral swab. Univariate and multivariate analysis was used to evaluate risk factors. Results: 553 (14.9%) patients with CAP underwent nasal swab. Viral CAP was diagnosed in 157 (28.4%) patients. Influenza virus was isolated in 80.9% of cases. Testing frequency and viral CAP prevalence were inhomogeneous across the participating centers. Obesity (OR 1.59, 95%CI: 1.01–2.48; p = 0.043) and need for invasive mechanical ventilation (OR 1.62, 95%CI: 1.02–2.56; p = 0.040) were independently associated with viral CAP. Prevalence of empirical treatment with oseltamivir was 5.1%. Conclusion: In an international scenario, testing frequency for viruses in CAP is very low. The most common cause of viral CAP is Influenza virus. Obesity and need for invasive ventilation represent independent risk factors for viral CAP. Adherence to recommendations for treatment with oseltamivir is poor.
- Published
- 2019
36. Assessment of noise-levels of generator-sets in seven cities of South-Southern Nigeria
- Author
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PraiseGod C Emenike, Osagie Ibhadode, A. F. Okougha, Olumide S. Adesina, Imokhai Theophilus Tenebe, and F. O. Aitanke
- Subjects
Computer Networks and Communications ,Noise pollution ,010501 environmental sciences ,Development ,Sound power ,01 natural sciences ,Hazard ,Computer Science Applications ,Generator (circuit theory) ,03 medical and health sciences ,Noise ,0302 clinical medicine ,Geography ,Global health ,030223 otorhinolaryngology ,Socioeconomics ,Sound pressure ,0105 earth and related environmental sciences ,Civil and Structural Engineering - Abstract
Noise pollution has been shown to be a global health hazard and this could be aggravated by the use of noise-emitting generators. Therefore, this study aims to determine the Sound Pressure Levels S...
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- 2018
37. Effect of Soaking and Boiling on Anti-nutritional Factors, Oligosaccharide Contents and Protein Digestibility of Newly Developed Bambara Groundnut Cultivars
- Author
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Olaposi R. Adeleke, Oladipupo Q. Adiamo, Olumide S. Fawale, and Gbeminiyi Olamiti
- Subjects
protein digestibility ,soaking ,Bambara groundnut ,Stachyose ,boiling ,lcsh:Agriculture ,chemistry.chemical_compound ,0404 agricultural biotechnology ,food ,Animal science ,oligosaccharides ,Boiling ,Tannin ,Cultivar ,lcsh:Agriculture (General) ,Raffinose ,chemistry.chemical_classification ,Tropical agriculture ,lcsh:S ,04 agricultural and veterinary sciences ,General Medicine ,Oligosaccharide ,lcsh:S1-972 ,040401 food science ,food.food ,chemistry ,Agronomy ,antinutrients ,Vigna subterranea - Abstract
Newly developed Bambara groundnut (Vigna subterranea L.) seeds (Accessions No: TVSU 5 – Bambara Groundnut White (BGW) and TVSU 146 – Bambara Groundnut Brown (BGB)) were collected from International Institute of Tropical Agriculture (IITA), Nigeria, planted and harvested. The effects of processing methods (soaking and boiling) on anti-nutritional factors and oligosaccharides content and protein digestibility of BGW and BGB compared with Bambara groundnut commercial (BGC) seeds were investigated. Soaking and boiling significantly reduced the anti-nutritional factors of the samples and the effect increased as processing time was elongated. Sample BGC had lower anti-nutritional factors than BGW and BGB after soaking for 48 h. Tannin contents of the samples were reduced drastically by 99 % throughout the soaking periods. Greatest loss in raffinose level was observed in BGB (59%) and BGW (50%) after boiling for 60 min compared with BGC (43%). The loss in stachyose content of the samples varies with processing and BGC (59%) had greatest loss after boiling for 60 min while soaking for 48 h reduced that of BGB and BGW by 57 and 35%, respectively. Boiling for 60 min increased the in vitro protein digestibility of BGB (89.34 %) compared with BGW (87.48%) and BGC (82.89%). Overall, the results demonstrated that soaking and boiling of newly developed Bambara groundnut seeds could improve the nutritive quality of the seeds.
- Published
- 2017
38. Effects of cooking and fermentation on the chemical composition, functional, and antinutritional properties of kariya (Hildergardia barteri ) seeds
- Author
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Olumide S. Fawale, Meshach M. Ige, Oseni Kadiri, and Saka O. Gbadamosi
- Subjects
chemistry.chemical_classification ,functional properties ,cooking ,Absorption of water ,kariya ,Chemistry ,food and beverages ,Salt (chemistry) ,04 agricultural and veterinary sciences ,040401 food science ,Industrial utilization ,Protein content ,protein seed ,properties ,fermentation ,0404 agricultural biotechnology ,Emulsion ,medicine ,Fermentation ,Food science ,Swelling ,medicine.symptom ,Chemical composition ,Original Research ,Food Science - Abstract
The effects of natural fermentation and cooking on kariya seeds functional properties, chemical composition, and antinutritional properties were evaluated. Result showed a reduction in antinutritional properties and improvement in protein content which were observed to increase with cooking (at 100°C) and fermentation period (24–96 hr). Functional analyses showed an increase in foaming and emulsion properties, while water absorption capacity and swelling power were observed to likewise increase with an increasing temperature between 60°C and 90°C. There was also an improvement in foaming properties with increase in salt (NaCl) concentration, while emulsifying property decreases with an increase in salt (NaCl) concentration. Based on the result of the findings of this study, it can be stated that the cooking and fermentation processes employed in this study can enhance the domestic and industrial utilization of these seeds.
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- 2017
39. Dry Flower Disease of Macadamia in Australia Caused by Neopestalotiopsis macadamiae sp. nov. and Pestalotiopsis macadamiae sp. nov
- Author
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Olumide S. Jeff-Ego, Shaheen Nisa, Roger G. Shivas, Andre Drenth, and Olufemi A. Akinsanmi
- Subjects
0106 biological sciences ,0301 basic medicine ,food and beverages ,Plant Science ,030108 mycology & parasitology ,Biology ,biology.organism_classification ,01 natural sciences ,03 medical and health sciences ,Intergenic region ,Inflorescence ,Raceme ,Macadamia integrifolia ,Botany ,Blight ,Cultivar ,Internal transcribed spacer ,Pestalotiopsis ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
Incidence of dry flower disease of macadamia (Macadamia integrifolia), expressed as blight of the flowers and necrosis and dieback of the rachis, is increasing in Australia. In the 2012–13 production season, incidence of dry flower disease resulted in 10 to 30% yield loss in the affected orchards. Etiology of the disease has not been established. This study was established to characterize the disease and identify the causal pathogen. A survey of the major macadamia-producing regions in Australia revealed dry flower disease symptoms regardless of cultivar or location at all stages of raceme development. Based on colony and conidial morphology, the majority (41%) of fungal isolates obtained from tissue samples were identified as Pestalotiopsis and Neopestalotiopsis spp. The phylogeny of the combined partial sequence of the internal transcribed spacer, β-tubulin, and translation elongation factor 1-α gene loci segregated the isolates into two well-supported clades, independent of location or part of the inflorescence affected. Further morphological examination supported the establishment of two new species, which are formally described as Neopestalotiopsis macadamiae sp. nov. and Pestalotiopsis macadamiae sp. nov. Using spore suspensions of isolates of both species, Koch’s postulates were fulfilled on three macadamia cultivars at all stages of raceme development. To our knowledge, this is the first report of species of Neopestalotiopsis and Pestalotiopsis as causal agents of inflorescence disease in macadamia.
- Published
- 2017
40. Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
- Author
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A. F. Adedotun, R. J. Dare, O. G. Obadina, K. O. Omosanya, and Olumide S. Adesina
- Subjects
Autoregressive model ,Mortality rate ,Vector (epidemiology) ,Econometrics ,Air pollution ,medicine ,Environmental science ,Statistical analysis ,Environmental pollution ,medicine.disease_cause ,Environmental degradation ,Vector autoregression - Abstract
The relationship between air pollution and mortality calls for attention in recent time. Diverse analyses have been conducted globally, including important cities in Africa, United States, Europe, and Asia. In this study, a time-series analysis is proposed to analyze influence of environmental pollution on mortality in Nigeria using the Vector Autoregressive (VAR) Model. Stationarity test shows that the data is stationary and VAR model suitably fits the data. The study reveals that environmental pollution has significant impact on mortality in Nigeria. Some useful recommendations were made.
- Published
- 2018
41. Impact of Government Expenditure on Economic Growth in Nigeria: A Disaggregated Analysis
- Author
-
Udeme I. Udongwo, Friday S. Ebong, Olumide S. Ayodele, and Fidelis O. Ogwumike
- Subjects
Macroeconomics ,Endogenous growth theory ,Cointegration ,Public economics ,business.industry ,Economic capital ,Error correction model ,Capital expenditure ,Agriculture ,Capital deepening ,Expenses versus Capital Expenditures ,Economics ,General Earth and Planetary Sciences ,business ,General Environmental Science - Abstract
The purpose of this paper was to assess the impact of government capital expenditures on economic growth in Nigeria during 1970 and 2012. A multiple regression model based on a modified endogenous growth framework was utilized to capture the interrelationships among capital expenditures on agriculture, education, health economic infrastructure and economic growth. Drawing on error correction and cointegration specifications, an OLS technique was used to analyze annual time series. Both short and long run effects of government capital expenditures on economic growth were estimated. Government capital expenditures had differential effects on economic growth. Capital expenditures on Agriculture did not exert any significant influence on growth both in the long and short runs. Similarly, the corresponding short-run and long-run impacts on growth of capital expenditures on Education were 0.45 and 0.48, respectively. These results were positive and statistically significant at the 5% level. The short-run impact of health capital expenditures on economic growth was 0.21, while the long-run impact was 0.16. These impacts were negative and insignificant. Expenditures on economic infrastructure had significant positive impacts on growth of 0.28 in the short-run and 0.32 in the long-run.
- Published
- 2016
42. Comparative Advantage Of Mobile Agent Application In Procuring Software Products On The Internet
- Author
-
Michael K. Adu, Boniface K. Alese, and Olumide S. Ogunnusi
- Abstract
This paper brings to fore the inherent advantages in application of mobile agents to procure software products rather than downloading software content on the Internet. It proposes a system whereby the products come on compact disk with mobile agent as deliverable. The client/user purchases a software product, but must connect to the remote server of the software developer before installation. The user provides an activation code that activates mobile agent which is part of the software product on compact disk. The validity of the activation code is checked on connection at the developer's end to ascertain authenticity and prevent piracy. The system is implemented by downloading two different software products as compare with installing same products on compact disk with mobile agent's application. Downloading software contents from developer's database as in the traditional method requires a continuously open connection between the client and the developer's end, a fixed network is not economically or technically feasible. Mobile agent after being dispatched into the network becomes independent of the creating process and can operate asynchronously and autonomously. It can reconnect later after completing its task and return for result delivery. Response Time and Network Load are very minimal with application of Mobile agent.
- Published
- 2018
- Full Text
- View/download PDF
43. Protective Effects of Methanol Extract of (.) Leaf on Aspirin-Induced Gastric Ulceration and Oxidative Mucosal Damage in a Rat Model of Gastric Injury
- Author
-
Modinat A. Adefisayo, Rufus O. Akomolafe, Olumide S. Akinsomisoye, Quadri K. Alabi, Laofe Ogundipe, Joseph G. Omole, and Kehinde P. Olamilosoye
- Subjects
lcsh:Therapeutics. Pharmacology ,lcsh:RM1-950 ,digestive system diseases - Abstract
This study investigated the quantitative polyphenolic constituents and gastroprotective effects of methanol extract of Vernonia amygdalina leaf (MEVA) against aspirin-induced gastric ulcer in rats. Ulceration was induced by 3 days’ oral administration of aspirin (150 mg/kg body weight). Wistar rats were pretreated with cimetidine (reference drug) at a dose of 100 mg/kg body weight and MEVA at 200, 300, and 400 mg/kg body weight once daily for 28 days prior to ulcer induction. At the end of the experiment, gastric secretions, antioxidant status, and histopathological alteration were evaluated. We observed that the significantly increased ulcer index, gastric volume, free and total acidity, malondialdehyde level, and pepsin activity were effectively reduced following treatment with 200 and 300 mg/kg MEVA. The extract also markedly attenuated the reduced activity of superoxide dismutase and reduced glutathione level as well as pH and mucin content in the ulcerated rats. Administration of the extract also significantly attenuates necrosis of the stomach tissue of the ulcerated rats. The results suggested that the MEVA leaf, preferably at 200 and 300 mg/kg body weight, ameliorated aspirin-induced gastric ulceration via antioxidative and H 2 receptor antagonist.
- Published
- 2018
44. Protective Effects of Methanol Extract of
- Author
-
Modinat A, Adefisayo, Rufus O, Akomolafe, Olumide S, Akinsomisoye, Quadri K, Alabi, Laofe, Ogundipe, Joseph G, Omole, and Kehinde P, Olamilosoye
- Subjects
antioxidant ,aspirin ,gastric ulcer ,Original Article ,rat ,Vernonia amygdalina ,digestive system diseases - Abstract
This study investigated the quantitative polyphenolic constituents and gastroprotective effects of methanol extract of Vernonia amygdalina leaf (MEVA) against aspirin-induced gastric ulcer in rats. Ulceration was induced by 3 days’ oral administration of aspirin (150 mg/kg body weight). Wistar rats were pretreated with cimetidine (reference drug) at a dose of 100 mg/kg body weight and MEVA at 200, 300, and 400 mg/kg body weight once daily for 28 days prior to ulcer induction. At the end of the experiment, gastric secretions, antioxidant status, and histopathological alteration were evaluated. We observed that the significantly increased ulcer index, gastric volume, free and total acidity, malondialdehyde level, and pepsin activity were effectively reduced following treatment with 200 and 300 mg/kg MEVA. The extract also markedly attenuated the reduced activity of superoxide dismutase and reduced glutathione level as well as pH and mucin content in the ulcerated rats. Administration of the extract also significantly attenuates necrosis of the stomach tissue of the ulcerated rats. The results suggested that the MEVA leaf, preferably at 200 and 300 mg/kg body weight, ameliorated aspirin-induced gastric ulceration via antioxidative and H2 receptor antagonist.
- Published
- 2018
45. Radiation Effects: Recommendations for Safe Plasma/Flame Cutting Operation
- Author
-
S. B. Majolagbe, Abiodun A. Abioye, K. J. Akinluwade, A. R. Adetunji, and Olumide S Adesina
- Subjects
Arc (geometry) ,Plasma flame ,Forensic engineering ,Mechanical engineering ,Environmental science ,Plasma cutting ,Radiation ,Radiofrequency radiation - Abstract
Plasma cutting has been a revolutionary method of processing metals as it provides precision cutting with a smooth finish. The Plasma Arc Cutting machine is an important machine used for producing fine cuts and creating shapes in materials. In addition to high energy radiation (ultraviolet and visible) which plasma arc cutting generates, the intense heat of the arc also generates substantial quantities of fumes and smoke from vaporizing metal in the kerf. With a reflection on a case study, this paper examines the working processes of the machine and the effect on the health of operators or any unsuspecting member of the public. With the safety regulations and recommendations from certified bodies, recommendations are made to ensure safety and limitations of health hazards during the use of the machine.
- Published
- 2015
46. Nutritional, physicochemical, and functional properties of protein concentrate and isolate of newly-developed Bambara groundnut (
- Author
-
Olaposi R, Adeleke, Oladipupo Q, Adiamo, and Olumide S, Fawale
- Subjects
Functional properties ,Protein concentrate ,Physicochemical properties ,bambara groundnut cultivars ,Nutritional properties ,food and beverages ,Defatted flour ,Original Research - Abstract
Bambara groundnut is an indigenous African vegetable grown mainly for human food and animal feed due to its high protein content. Different factors like varieties and origin can influence the chemical composition of Bambara groundnut cultivars. Therefore, the aims of this study are to produce defatted flour and protein concentrate from newly developed Bambara groundnut cultivars [Accessions No: TVSU 5 – Bambara Groundnut White (BGW) and TVSU 146 – Bambara Groundnut Brown (BGB)] and compare their nutritional, physicochemical, and functional properties with market sample [Bambara groundnut commercial (BGC)]. Higher protein content was observed in BGW (20.73%) and BGB (20.14%) as compared to BGC (18.50%). Also, the fat and ash contents of BGB and BGW were higher than that of BGC. Also, the new varieties were found to contain higher levels of some essential fatty acids such as linoleic and linolenic acids. The concentration of thiamine, riboflavin, niacin, pantothenic, ascorbic acids, pyrodoxine, alpha tocopherol, and vitamin K were also significantly higher in the two new varieties. The new varieties were good sources of magnesium, calcium, iron, manganese, sodium, and potassium. The oil and water absorption and swelling capacities of whole, defatted, and protein concentrate flour of the new varieties increase with increase in temperature. The defatted flour and protein concentrate of brown Bambara groundnut was found to exhibit high emulsifying activity and stability at different pH's and salt concentrations. The new varieties possess significantly higher foaming capacity and stability than the commercial variety. The results obtained from this study have shown the potential for the industrial and household use of the new Bambara groundnut cultivars into shelf stable protein products and could be a useful ingredient in food formulations.
- Published
- 2017
47. Nutritional, physicochemical, and functional properties of protein concentrate and isolate of newly‐developed Bambara groundnut (Vigna subterrenea L.) cultivars
- Author
-
Olumide S. Fawale, Olaposi R. Adeleke, and Oladipupo Q. Adiamo
- Subjects
0301 basic medicine ,030109 nutrition & dietetics ,biology ,Chemistry ,Animal feed ,Potassium ,Sodium ,chemistry.chemical_element ,food and beverages ,Riboflavin ,04 agricultural and veterinary sciences ,biology.organism_classification ,040401 food science ,Vigna ,03 medical and health sciences ,chemistry.chemical_compound ,Ingredient ,Physicochemical properties ,protein concentrate ,defatted flour ,Bambara groundnut cultivars ,Nutritional properties ,functional properties ,0404 agricultural biotechnology ,Food science ,Cultivar ,alpha-Tocopherol ,Food Science - Abstract
Bambara groundnut is an indigenous African vegetable grown mainly for human food and animal feed due to its high protein content. Different factors like varieties and origin can influence the chemical composition of Bambara groundnut cultivars. Therefore, the aims of this study are to produce defatted flour and protein concentrate from newly developed Bambara groundnut cultivars [Accessions No: TVSU 5 – Bambara Groundnut White (BGW) and TVSU 146 – Bambara Groundnut Brown (BGB)] and compare their nutritional, physicochemical, and functional properties with market sample [Bambara groundnut commercial (BGC)]. Higher protein content was observed in BGW (20.73%) and BGB (20.14%) as compared to BGC (18.50%). Also, the fat and ash contents of BGB and BGW were higher than that of BGC. Also, the new varieties were found to contain higher levels of some essential fatty acids such as linoleic and linolenic acids. The concentration of thiamine, riboflavin, niacin, pantothenic, ascorbic acids, pyrodoxine, alpha tocopherol, and vitamin K were also significantly higher in the two new varieties. The new varieties were good sources of magnesium, calcium, iron, manganese, sodium, and potassium. The oil and water absorption and swelling capacities of whole, defatted, and protein concentrate flour of the new varieties increase with increase in temperature. The defatted flour and protein concentrate of brown Bambara groundnut was found to exhibit high emulsifying activity and stability at different pH's and salt concentrations. The new varieties possess significantly higher foaming capacity and stability than the commercial variety. The results obtained from this study have shown the potential for the industrial and household use of the new Bambara groundnut cultivars into shelf stable protein products and could be a useful ingredient in food formulations.
- Published
- 2017
48. The Sources of Efficiency of the Nigerian Banking Industry: A Two- Stage Approach
- Author
-
Frances Obafemi, Olumide S Ayodele, and Friday S Ebong
- Subjects
lcsh:Social Sciences ,lcsh:H ,Bank Efficiency, Data Envelopment Analysis,Financial Liberalization ,lcsh:Business ,lcsh:HF5001-6182 - Abstract
The paper employed a two-stage Data Envelopment Analysis (DEA) approach to examine the sources oftechnical efficiency in the Nigerian banking sub-sector. Using a cross sectionof commercial and merchant banks, the study showed that the Nigerian bankingindustry was not efficient both in the pre-and-post-liberalization era. Thestudy further revealed that market share was the strongest determinant oftechnical efficiency in the Nigerian banking Industry. Thus, appropriatemacroeconomic policy, institutional development and structural reforms mustaccompany financial liberalization to create the stable environment requiredfor it to succeed. Hence, the present bank consolidation and reforms by theCentral Bank of Nigeria, which started with Soludo and continued with Sanusi,are considered necessary, especially in the areas of e banking and reorganizingthe management of banks.
- Published
- 2013
49. The Sources of Efficiency in the Nigerian Banking Industry
- Author
-
Frances Susan Obafemi, Olumide S. Ayodele, and Friday S. Ebong
- Subjects
Finance ,050208 finance ,Financial liberalization ,Institutional development ,business.industry ,05 social sciences ,E banking ,Banking industry ,Consolidation (business) ,0502 economics and business ,Data envelopment analysis ,Economics ,Retail banking ,050207 economics ,Market share ,business - Abstract
The paper employed a two-stage Data Envelopment Analysis (DEA) approach to examine the sources of technical efficiency in the Nigerian banking sub-sector. Using a cross section of commercial and merchant banks, the study showed that the Nigerian banking industry was not efficient both in the pre-and-post-liberalization era. The study further revealed that market share was the strongest determinant of technical efficiency in the Nigerian banking Industry. Thus, appropriate macroeconomic policy, institutional development and structural reforms must accompany financial liberalization to create the stable environment required for it to succeed. Hence, the present bank consolidation and reforms by the Central Bank of Nigeria, which started with Soludo and continued with Sanusi, are considered necessary, especially in the areas of e banking and reorganizing the management of banks.
- Published
- 2013
50. Protective Effects of Methanol Extract ofVernonia amygdalina(del.) Leaf on Aspirin-Induced Gastric Ulceration and Oxidative Mucosal Damage in a Rat Model of Gastric Injury
- Author
-
Modinat A. Adefisayo, Quadri K. Alabi, Joseph Gbenga Omole, Rufus O. Akomolafe, Olumide S. Akinsomisoye, Kehinde P. Olamilosoye, and Laofe Ogundipe
- Subjects
0301 basic medicine ,Antioxidant ,Health, Toxicology and Mutagenesis ,medicine.medical_treatment ,Pharmacology ,Toxicology ,Ulcer index ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Pepsin ,Oral administration ,medicine ,Cimetidine ,Chemical Health and Safety ,biology ,Stomach ,Vernonia amygdalina ,Public Health, Environmental and Occupational Health ,Malondialdehyde ,biology.organism_classification ,digestive system diseases ,030104 developmental biology ,medicine.anatomical_structure ,chemistry ,biology.protein ,030217 neurology & neurosurgery ,medicine.drug - Abstract
This study investigated the quantitative polyphenolic constituents and gastroprotective effects of methanol extract of Vernonia amygdalina leaf (MEVA) against aspirin-induced gastric ulcer in rats. Ulceration was induced by 3 days’ oral administration of aspirin (150 mg/kg body weight). Wistar rats were pretreated with cimetidine (reference drug) at a dose of 100 mg/kg body weight and MEVA at 200, 300, and 400 mg/kg body weight once daily for 28 days prior to ulcer induction. At the end of the experiment, gastric secretions, antioxidant status, and histopathological alteration were evaluated. We observed that the significantly increased ulcer index, gastric volume, free and total acidity, malondialdehyde level, and pepsin activity were effectively reduced following treatment with 200 and 300 mg/kg MEVA. The extract also markedly attenuated the reduced activity of superoxide dismutase and reduced glutathione level as well as pH and mucin content in the ulcerated rats. Administration of the extract also significantly attenuates necrosis of the stomach tissue of the ulcerated rats. The results suggested that the MEVA leaf, preferably at 200 and 300 mg/kg body weight, ameliorated aspirin-induced gastric ulceration via antioxidative and H2receptor antagonist.
- Published
- 2018
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