10 results on '"Bosi T"'
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2. Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
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Eropkin, M., Fadeev, A., Andrew, M., Ambrose, A., Mukasheva, E., Merkulova, L., Kruzhkova, I., Krasnoslobotsev, K., Kolobukhina, L., Kisteneva, L., Garina, E., Schwarz-Chavarri, G., Llorente-Nieto, P., Tortajada-Girbes, M., Fernandez-Dopazo, J., Generalova, L., Go, A., Golovacheva, E., Gonchar, V., Komissarov, A., Konovalova, N., Kuvarzina, S., Levanyuk, T., Lobova, T., Osidak, L., Roldan-Aguado, M., Mollar Maseres, J., Carballido-Fernandez, M., Adriana-Magos, E., Lopez-Labrador, X., Menif, K., Ozkaya-Parlakay, A., Tezer, H., Gulhan, B., Pisareva, M., Boukthir, A., Chlif, S., Rozhkova, E., Dellagi, M. K., Gharbi, A., Louzir, H., Yazidi, R., Zid, W., Laguna, A., Perez-Bao, J., Reyes, N., Coulibaly, D., Sanchez-Catalan, M. J., Mira-Iglesias, A., Martin-Navarro, M., Guglieri-Lopez, B., Garcia Esteban, S., Escribano-Lopez, B., Diez-Domingo, Javier, Puig-Barbera, Joan, Burtseva, Elena, Ben-Salah, Afif, Kuatbayeva, Ainagul, Sintsova, K., Sirotkina, Z., Smorodintseva, E., Koubaa, M., Zhang, Tao, Kyncl, Jan, Koul, Parvaiz, ÜNAL, SERHAT, Draganescu, Anca, Nunes, Marta C., Sominina, Anna, McNeil, Shelly, Ben Jeema, M., Trushakova, Svetlana, Baselga-Moreno, Victor, Ben Khelil, J., Amine, S., Gaukhar, N., Pitigoi, D., MacKinnon-Cameron, D., Nichols-Evans, M., Ye, P., Afanasieva, O., Afanasieva, A., Demina, S., Dondurei, E., Sukhovetskaya, V., Tamila, M., Voloshuk, L., Yanina, M., Zarishnyuk, P., Madhi, S. A., Arama, V., Florea, D., Luminos, M., Otelea, D., Sandulescu, O., Vlaicu, O., ElSherif, M., Aykac, K., Bosi, T. Bagci, Bilgin, E., Durusu, M., Kara, A., Ozisik, L., Basaranoglu, S. Tanir, Demirdag, TUĞBA, Tunccan, ÖZLEM, Ozgen, O., Pan, J., Zheng, J., Yan, Y., Zhao, G., Zhang, F., Shan, W., Chen, K., Standerova, I., Rudova, T., Rohacova, H., Herrmanova, K., Dvorska, D., Sebestova, H., Prochazkova, J., Mandakova, Z., Kralova, R., Jirincova, H., Havlickova, M., Bali, N., Yusuf, R., Soumya, Soumya, Mir, H., Khan, M., Ali, S., Hernandez, A., Moreno-Espinosa, S., Gamino-Arroyo, A. E., de la Rosa-Zamboni, D., Vidal-Vazquez, R. P., Ramirez-Hinojosa, J. P., Jimenez-Escobar, I., Dolores Dominguez-Viveros, W., de Colsa Ranero, A., Ruiz-Palacios, G. M., Guerrero Almeida, M. L., Galindo Fraga, A., Ciblak, M. Akcay, Tulek, N., Ozsoy, M., and Stolyarov, K.
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Influenza vaccine ,Epidemiology ,030209 endocrinology & metabolism ,Logistic regression ,Global Health ,03 medical and health sciences ,0302 clinical medicine ,Influenza A Virus, H1N1 Subtype ,Pregnancy ,Internal medicine ,Influenza, Human ,medicine ,Humans ,030212 general & internal medicine ,Risk factor ,Child ,Aged ,Aged, 80 and over ,Vaccine effectiveness ,Surveillance ,business.industry ,Influenza A Virus, H3N2 Subtype ,lcsh:Public aspects of medicine ,Vaccination ,Public Health, Environmental and Occupational Health ,lcsh:RA1-1270 ,Odds ratio ,Middle Aged ,medicine.disease ,Hospitalization ,Influenza Vaccines ,Child, Preschool ,Female ,Seasons ,Biostatistics ,business ,Influenza virus ,Sentinel Surveillance ,Research Article - Abstract
Background The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016–2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016–2017 influenza season. Methods A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. Results Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62–37.27. Vaccination seemed to confer better protection against influenza B and in people 2–4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59–5.76) comparing pregnant with non-pregnant women. Conclusions Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn’t allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women. Electronic supplementary material The online version of this article (10.1186/s12889-019-6713-5) contains supplementary material, which is available to authorized users.
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- 2019
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3. Optimal platforming, routing, and scheduling of trains and locomotives in a rail passenger station yard
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Bojian Zhang, Yongxiang Zhang, Andrea D’Ariano, Tommaso Bosi, Gongyuan Lu, Qiyuan Peng, Zhang, B., Zhang, Y., D'Ariano, A., Bosi, T., Lu, G., and Peng, Q.
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Automotive Engineering ,Transportation ,Management Science and Operations Research ,Civil and Structural Engineering - Published
- 2023
4. Linear Programming Model and Online Algorithm for Customer-Centric Train Calendar Generation
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Tommaso Bosi, Andrea D'Ariano, Bosi, T., and D'Ariano, A.
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Divide and conquer algorithms ,Economics and Econometrics ,Theoretical computer science ,Article Subject ,Linear programming ,Computer science ,Strategy and Management ,Computation ,0211 other engineering and technologies ,02 engineering and technology ,Scheduling (computing) ,Constant (computer programming) ,0502 economics and business ,Online algorithm ,HE1-9990 ,050210 logistics & transportation ,TA1001-1280 ,021103 operations research ,Mechanical Engineering ,05 social sciences ,Computer Science Applications ,Transportation engineering ,Automotive Engineering ,Benchmark (computing) ,Train ,Transportation and communications - Abstract
An important objective for train operating companies is to let users, especially commuters, directly query the ICT system about trains’ availability calendar, based on an online approach, and give them clear and brief information, expressed through “intelligent” phrases instead of bit maps. This paper provides a linear programming model of this problem and a fast and flexible heuristic algorithm to create descriptive sentences from train calendars. The algorithmic method, based on the “Divide and Conquer” approach, takes the calendar period queried in its whole and divides it into subsets, which are successively processed one by one. The dominant limitation of previous methods is their strong dependence on the size and complexity of instances. On the contrary, our computational findings show that the proposed online algorithm has a very limited and constant computation time, even when increasing the problem complexity, keeping its processing time between 0 and 16 ms, while producing good quality solutions that differ by an average surplus of 0.13 subsentences compared to benchmark state-of-art solutions.
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- 2021
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5. A fast and effective greedy heuristic for on-line train calendars generation
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Lavinia Amorosi, Giovanni Luca Giacco, Tommaso Bosi, Andrea D'Ariano, Bosi, T., D'Ariano, A., Amorosi, L., and Giacco, G. L.
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Reduction (complexity) ,Service (systems architecture) ,Constant (computer programming) ,Theoretical computer science ,Computer science ,Transportation services ,Computation ,Line (geometry) ,Cluster analysis ,Greedy algorithm ,Heuristic algorithm ,Calendar ,Field (computer science) - Abstract
This paper describes a new approach for train calendars textual generation, that is a heuristic algorithm designed to automatically generate a text to final customers, concisely and clearly, from a service calendar represented by a boolean vector as input. This niche problem belongs to the transportation field, specifically, to railway services. The new heuristic algorithm, developed in the C programming language, guarantees a constant computation time, between 0 and 16 ms. Tested on several real railway timetables, this new approach was extensively compared with existing mathematical programming models presented in Amorosi et al. (2019), with a significant reduction of computation times that makes it applicable in practical contexts.
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- 2021
6. Lower Urinary Tract Symptoms in a prospective cohort of COVID-19 survivors.
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Gomes CM, Hisano M, Souza JD, Henriques JVT, de Bessa J Jr, Moromizato J, Bosi T, Mazoni R, Gismondi J, Camargo B, Sammour ZM, Bruschini H, Battistella LR, and Nahas WC
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- Humans, Male, Female, Middle Aged, Prospective Studies, Quality of Life, Prevalence, COVID-19 complications, Lower Urinary Tract Symptoms epidemiology, Diabetes Mellitus epidemiology, Hypertension complications, Hypertension epidemiology
- Abstract
Purpose: To analyze the prevalence of lower urinary tract symptoms (LUTS) in patients who survived moderate and severe forms of COVID-19 and the risk factors for LUTS six months after hospitalization., Materials and Methods: In this prospective cohort study, patients were evaluated six months after hospitalization due to COVID-19. LUTS were assessed using the International Prostate Symptom Score. General health was assessed through the Hospital Anxiety and Depression Scale and the EQ5D-L5 scale, which evaluates mobility, ability to perform daily activities, pain and discomfort and completed a self-perception health evaluation., Results: Of 255 participants, 54.1% were men and the median age was 57.3 [44.3 - 66.6] years. Pre-existing comorbidities included diabetes (35.7%), hypertension (54.5%), obesity (30.2%) and physical inactivity (65.5%). One hundred and twenty-four patients (48.6%) had a hospital stay >15 days, 181 (71.0%) were admitted to an ICU and 124 (48.6%) needed mechanical ventilation. Median IPSS was 6 [3-11] and did not differ between genders. Moderate to severe LUTS affected 108 (42.4%) patients (40.6% men and 44.4% women; p=0.610). Nocturia (58.4%) and frequency (45.9%) were the most prevalent symptoms and urgency was the only symptom that affected men (29.0%) and women (44.4%) differently (p=0.013). LUTS impacted the quality of life of 60 (23.5%) patients with women more severely affected (p=0.004). Diabetes, hypertension, and self-perception of worse general health were associated with LUTS., Conclusions: LUTS are highly prevalent and bothersome six months after hospitalization due to COVID-19. Assessment of LUTS may help ensure appropriate diagnosis and treatment in these patients., Competing Interests: None declared., (Copyright® by the International Brazilian Journal of Urology.)
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- 2024
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7. Children's exposure to television advertising of unhealthy foods and beverages across four countries of WHO European Region.
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Kontsevaya AV, Imaeva AE, Balanova YA, Breda JJ, Wickramasinghe K, Jewell JM, Abdrakhmanova S, Polupanov AG, Bagci Bosi T, Ergüder T, Drapkina OM, and Boyland EJ
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- Child, Adolescent, Humans, Cross-Sectional Studies, Beverages, Television, World Health Organization, Food Industry, Advertising, Food
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Objective: To compare the frequency and healthfulness of foods being advertised to children and adolescents in four countries of WHO European region., Design: Cross-sectional quantitative study, guided by an adapted version of the WHO protocol. All recorded food advertisements were categorised by categories and as either 'permitted' or 'not permitted' for advertising to children in accordance with WHO Regional Office for Europe Nutrient Profile Model., Settings: Four countries: Russia, Turkey, Kazakhstan and Kyrgyzstan., Participants: TV channels most popular among children and adolescents., Results: Analysis included 70 d of TV broadcasting for all channels, during which time there were 28 399 advertisements. The mean number of advertisements per hour varied from eleven in Turkey and Kazakhstan to eight and two in Russia and Kyrgyzstan. In all countries, the majority of the food and beverages advertised should not be permitted for advertising to children according to the WHO Nutrient Profile Model. The mean number of non-permitted food and beverage advertisements per hour was high in Turkey and Kazakhstan (8·8 and 8·5 ads) compared with Russia (5·1) and Kyrgyzstan (1·9). Turkey was the only country where nutritional information was fully available, and no values were missing that prevented coding for some product categories., Conclusions: Results revealed that children and adolescents in four countries are exposed to a considerable volume of food and beverage advertisements, including sugary products on broadcast television. As such, policymakers should consider protecting youth by developing regulations to restrict these marketing activities within media popular with children.
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- 2023
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8. Informing Strategy to Ensure Detection: Perceptions of Coronavirus Testing in a Southeastern U.S. Urban Homeless Population.
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Bell C, Bosi T, and Gracious BL
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Introduction: Attitudes of those in the homeless population toward testing, particularly during a pandemic, are critical to understand, so that they and their communities may be safely triaged and protected. Homeless persons are more likely to be exposed during viral epidemics, and have greater vulnerability for more severe viral illness, due to greater medical comorbidities. The literature reflects a dearth of published papers describing the perceptions, interest, and motivations of homeless people to seek or receive viral testing, despite their status as a high-risk population., Methods: A quality improvement project consisting of a cross-sectional survey took place at 8 SARS-CoV-2 infection testing sites (local shelters and drop-in sites) within Duval County, Jacksonville, FL., Results: The vast majority of homeless individuals approached for testing completed demographic data and a checklist of beliefs and attitudes about testing (N=764) and underwent COVID-19 nasopharyngeal swab testing (n=679). Mean age was 48; 66% were male, and the predominant race was Black (51%) with 89% of non-Hispanic ethnicity. Of the total participants, 59.2% wanted testing and 4.6% declined testing. Attitudes toward testing varied by site and by wanting vs. not wanting to be tested. Top reasons in those wanting testing included curiosity; a belief that faith would protect them from the virus; and having shelter encouragement to be tested. Top attitudes among those not wanting to be tested were: shelter encouraged me; curiosity; and receiving a gift card. For the total group of subjects, being offered a $10 gift card did not affect their desire to be tested. Those who were not faith-influenced were less likely to want testing., Conclusion: Findings from selected literature and this quality improvement study support the use of a variety of strategies to encourage participation in testing events with large numbers of homeless individuals, including education, gift cards, shelter staff encouragement, involvement of local faith leaders and more broad support by the community. An additional qualitative study would complement these findings, as populations appear to differ in beliefs and attitudes depending on their location and other demographics. Motivational strategies to influence testing rates can be fine-tuned if beliefs, perceptions and attitudes are better understood., Competing Interests: Conflicts of Interest Dr. Gracious reports personal fees from Novo Nordisk, outside the submitted work. Drs. Bell and Bosi declare they have no conflicts of interest., (© 2020 HCA Physician Services, Inc. d/b/a Emerald Medical Education.)
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- 2020
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9. Poor outcomes among elderly patients hospitalized for influenza-like illness.
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Tanriover MD, Bagci Bosi T, Ozisik L, Bilgin E, Güzel Tunçcan Ö, Özgen Ö, Tülek N, Özsoy M, Tezer H, Bedir Demirdağ T, Kara A, Basaranoglu ST, Aykac K, Ozkaya-Parlakay A, Gulhan B, and Unal S
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- Aged, Female, Hospital Mortality, Humans, Influenza Vaccines therapeutic use, Male, Needs Assessment, Population Surveillance, Registries, Seasons, Turkey epidemiology, Vaccination methods, Vaccination statistics & numerical data, Admitting Department, Hospital methods, Admitting Department, Hospital statistics & numerical data, Chronic Disease epidemiology, Chronic Disease therapy, Hospitalization statistics & numerical data, Influenza, Human diagnosis, Influenza, Human epidemiology
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Background and Objective: Global Influenza Hospital Surveillance Network is a worldwide initiative that aims to document the burden of influenza infections among acute admissions and vaccine effectiveness in particular countries. As a partner of this platform, we aimed to determine the frequency of influenza infections among acute admissions with influenza-like illness and the outcomes of enrolled patients during the 2015-2016 influenza season in selected hospitals in Turkey., Patients and Methods: The investigators screened the hospital admission registries, chart review or available records, and screened all patients hospitalized in the previous 24-48 hours or overnight in the predefined wards or emergency room. A total of 1351 patients were screened for enrollment in five tertiary care referral hospitals in Ankara and 774 patients (57.3% of the initial screened population) were eligible for swabbing. All of the eligible patients who consented were swabbed and tested for influenza with real-time polymerase chain reaction (PCR) based methods., Results: Overall, influenza positivity was detected in 142 patients (18.4%). The predominant influenza strain was A H1N1pdm09. Outcomes were worse among elderly patients, regardless of the presence of the influenza virus. Half of the patients over 65 years of age were admitted to the intensive care unit, while one third required any mode of mechanical ventilation and one fourth died in the hospital in that particular episode., Conclusion: These findings can guide hospitals to plan and prepare for the influenza season. Effective influenza vaccination strategies, particularly aimed at the elderly and adults with chronic diseases, can provide an opportunity for prevention of deaths due to influenza-like illness.
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- 2018
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10. [Diathelic immunization with Brucella abortus].
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Sangiorgi A and Bosi T
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- Animals, Cattle, Female, Pregnancy, Pregnancy, Animal, Vaccination, Animals, Newborn immunology, Antibodies, Brucellosis, Bovine immunology, Colostrum, Milk
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- 1965
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