216 results on '"Seguya, A"'
Search Results
2. Essential equipment and services for otolaryngology care: a proposal by the Global Otolaryngology-Head and Neck Surgery Initiative.
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Srinivasan, Tarika, Cherches, Alexander, Seguya, Amina, Salano, Valerie, Patterson, Rolvix, Xu, Mary, Alkire, Blake, Okerosi, Samuel, and Tamir, Sharon
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Humans ,Otolaryngology ,Hearing Loss ,Foreign Bodies ,Deafness - Abstract
PURPOSE OF REVIEW: To highlight the need for comprehensive resource lists to provide baseline care of otolaryngologic conditions; to present a proposed list of essential equipment and services that may be applied toward surgical systems research, policymaking, and charitable efforts in global otolaryngology-head and neck surgery. RECENT FINDINGS: To provide effective and high-quality surgical care across care settings, there must be a global standard for equipment and ancillary services necessary to provide baseline care. Though there have been efforts to devise resource standards via equipment lists and appraisal tools, these have been limited in scope to general surgery, emergency care, and a few other subspecialty surgical contexts. Recent efforts have brought attention to the significant burden imposed by otolaryngologic conditions such as hearing loss, otitis media, head and neck cancer, head and neck trauma, and upper airway foreign bodies. Yet, there has not been a comprehensive list of resources necessary to provide baseline care for common otolaryngologic conditions. SUMMARY: Through an internal survey of its members, the Global Otolaryngology-Head and Neck Surgery Initiative has compiled a list of essential equipment and services to provide baseline care of otolaryngologic conditions. Our efforts aimed to address common otolaryngologic conditions that have been previously identified as high-priority with respect to prevalence and burden of disease. This expert-driven list of essential resources functions as an initial framework to be adapted for internal quality assessment, implementation research, health policy development, and economic priority-setting.
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- 2023
3. Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions
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Geofrey Kapalaga, Florence N. Kivunike, Susan Kerfua, Daudi Jjingo, Savino Biryomumaisho, Justus Rutaisire, Paul Ssajjakambwe, Swidiq Mugerwa, Seguya Abbey, Mulindwa H. Aaron, and Yusuf Kiwala
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foot-and-mouth disease ,random forest ,distribution shifts ,performance improvement rates ,calibrated uncertainty prediction ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Foot-and-mouth disease poses a significant threat to both domestic and wild cloven-hoofed animals, leading to severe economic losses and jeopardizing food security. While machine learning models have become essential for predicting foot-and-mouth disease outbreaks, their effectiveness is often compromised by distribution shifts between training and target datasets, especially in non-stationary environments. Despite the critical impact of these shifts, their implications in foot-and-mouth disease outbreak prediction have been largely overlooked. This study introduces the Calibrated Uncertainty Prediction approach, designed to enhance the performance of Random Forest models in predicting foot-and-mouth disease outbreaks across varying distributions. The Calibrated Uncertainty Prediction approach effectively addresses distribution shifts by calibrating uncertain instances for pseudo-label annotation, allowing the active learner to generalize more effectively to the target domain. By utilizing a probabilistic calibration model, Calibrated Uncertainty Prediction pseudo-annotates the most informative instances, refining the active learner iteratively and minimizing the need for human annotation and outperforming existing methods known to mitigate distribution shifts. This reduces costs, saves time, and lessens the dependence on domain experts while achieving outstanding predictive performance. The results demonstrate that Calibrated Uncertainty Prediction significantly enhances predictive performance in non-stationary environments, achieving an accuracy of 98.5%, Area Under the Curve of 0.842, recall of 0.743, precision of 0.855, and an F1 score of 0.791. These findings underscore Calibrated Uncertainty Prediction’s ability to overcome the vulnerabilities of existing ML models, offering a robust solution for foot-and-mouth disease outbreak prediction and contributing to the broader field of predictive modeling in infectious disease management.
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- 2024
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4. A descriptive study on diagnostic timelines, and factors influencing delayed diagnosis among adult head and neck cancer patients at Uganda cancer institute
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Fiona Lalango, Fiona Kabagenyi, Amina Seguya, Richard Byaruhanga, and Jeff Otiti
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Time to diagnosis ,Delay in diagnosis ,Head and neck cancer ,Uganda cancer institute ,Surgery ,RD1-811 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Many patients with head and neck cancer (HNC) often present with advanced disease. This may result from delay in deciding to seek care, delay in reaching the healthcare facility and or delay in accessing care in the healthcare facility. We therefore set out to determine the time to definitive diagnosis and factors associated with delayed diagnosis among patients with HNC at the Uganda Cancer Institute (UCI). Methods A cross-sectional study was conducted at UCI, patients with HNC were recruited. An interviewer administered questionnaire was used to collect data on sociodemographic factors and clinical characteristics, including timelines in months, from symptom onset to deciding to seek care, to reaching the health care facility and to definitive diagnosis. Multivariate Poisson regression analysis was used to calculate odds ratios (ORs) for the factors of association with delayed diagnosis. Results We recruited 160 HNC patients, and 134 patients were analyzed. The median age was 49.5 years (IQR 26.5), 70% (94 of 134) were male, 48% (69 of 134) had below secondary school education, 49% (65 of 134) had a household income 136 USD (aOR: 0.27, p = 0.043) were associated with lower odds of delayed diagnosis. Being the sole bread winner (aOR: 2.15, p = 0.050) increased the odds of delayed diagnosis. Conclusion Most of HNC patients (65%) at UCI had delayed diagnosis. A national care pathway for individuals with suspected HNC should be established and consider rotation of Ear, Nose and Throat surgeons to underserved regions, to mitigate diagnostic delay.
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- 2024
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5. Addressing inequities in the otolaryngology academic publishing: A call to action
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Sarah Nuss, Rolvix H. Patterson, Mary J. Xu, Amina Seguya, Valerie Salano, Nader Zalaquett, Samuel Okerosi, Bethany Hedt-Gauthier, and Johannes Fagan
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global surgery ,global otolaryngology ,research equity ,article processing charges ,open access ,Medicine - Abstract
Article processing charges (APCs) for open access (OA) journals perpetuate inequities in scientific knowledge. High APCs systematically restrict low- and middle-income country (LMIC) researchers from contributing to research knowledge, preventing the dissemination of high-value, high-quality, and sustainable LMIC-driven solutions. Otolaryngology journals are no exception. The authors propose solutions to rectify the inequities in academic publishing because of APCs, including innovative solutions adopted by several major journals. Addressing these inequities requires medical society and journal editorial board leadership to ensure equitable APC policies.
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- 2024
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6. ‘Seeing is believing’ – gender disparities in otolaryngology-head and neck surgery in Africa: a narrative review
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Seguya, Amina, Kabagenyi, Fiona, and Tamir, Sharon Ovnat
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- 2024
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7. Vestibular migraine in low- and lower-middle-income countries: A scoping review
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Eric K. Kim, Amina Seguya, May Htoo Thaw, Peggy Tahir, Eric J. Formeister, Christopher J. Waterworth, and Ali F. Jaffer
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Vestibular migraine ,Migraine ,Global ,Otolaryngology ,Scoping review ,Otorhinolaryngology ,RF1-547 - Abstract
Background: Vestibular migraine (VM) is a common cause of dizziness that is underrecognized, underdiagnosed, and challenging to effectively treat. The prevalence, appropriate diagnostic workup, and therapies for VM in low- and lower-middle-income countries (LLMICs) remain understudied. The objective of this scoping review is to evaluate the current state of VM research in LLMICs. Methods: PubMed, Embase, and Web of Science databases were searched to execute a scoping review of VM. Keywords “vestibular diseases” and “vertigo” were used in combination with terms referring to LLMICs as defined by the World Bank. Title and abstract screening, full-text review, and data collection were conducted by two authors independently. Results: Twenty-six studies were included in the scoping review. Most studies were cross-sectional (57.7%) or case studies/series (23.1%) and were conducted in urban settings only (92.3%). Geographic distribution of studies was skewed, with 65.4% of articles originating from India. The prevalence of VM among clinic patients ranged from 0.3% to 33.3%. VM most frequently presented as headache, nausea and vomiting, and photophobia. Radiographic imaging, audiometry, and electronystagmography/videonystagmography were the three most commonly utilized diagnostic modalities in the dizziness workup. The most studied pharmacotherapies included calcium channel blockers, followed by beta-blockers and antiepileptics. Case studies and series discussed less common VM pharmacotherapies, such as ayurvedic medicine. Conclusions: There is a need for more VM research in LLMICs, including innovative diagnostic approaches and therapies that can improve VM care globally. Equitable partnerships between LLMIC and high-income country researchers must expand vestibular research capacity and productivity in LLMICs.
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- 2023
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8. 19 Months Toddler with a Giant Oral Capillary Hemangioma, a Case Report
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Kabagenyi F, Anena SP, and Seguya A
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hemangioma ,pyogenic granuloma ,head and neck vascular tumours ,Medicine (General) ,R5-920 - Abstract
Fiona Kabagenyi,1 Sandra Petti Anena,1 Amina Seguya2 1Department of Ear Nose and Throat, Makerere University, Kampala, Uganda; 2Department of Ear Nose and Throat, Mulago National Referral Hospital, Kampala, UgandaCorrespondence: Fiona Kabagenyi, Department of Ear Nose and Throat, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda, Tel +256774150102, Email kabagenyiatwooki6@gmail.comAbstract: Head and neck vascular tumors are common in children. Capillary hemangiomas are often easily confused with pyogenic granulomas due to histopathological resemblance. Furthermore, predisposing factors to pyogenic granulomas include an existing hemangioma, which may be co-existing entities. Surgical excision of large unsightly tumors causing functional deficits is a feasible management option. We report a case of a rapidly growing oral lesion in a toddler with feeding difficulties and anemia. It triggered a diagnostic dilemma as it was clinically consistent with a pyogenic granuloma but histologically diagnosed as a capillary hemangioma. It was successfully excised with no recurrence after 6 months.Keywords: hemangioma, pyogenic granuloma, head and neck vascular tumours
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- 2023
9. Female and low‐ and middle‐income authorship trends in high‐impact ENT journals (2011–2020)
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Farizeh Jashek‐Ahmed, Davina Daudu, Baveena Heer, Hawa Ali, Joshua Wiedermann, Amina Seguya, and Members of the Global OHNS Initiative (globalohns.org)
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authorship ,equity ,global surgery ,otolaryngology ,representation ,Otorhinolaryngology ,RF1-547 ,Surgery ,RD1-811 - Abstract
Abstract Introduction Despite a recent drive to increase diversity, the global academic workforce is skewed in favor of authors from high‐income countries, and women are under‐represented in the published medical literature. Objectives To explore the trends in authorship of three high‐impact otolaryngology journals over a ten‐year period (2011–2020). Methods Journals selected: JAMA Otolaryngology–Head and Neck Surgery, The Laryngoscope and Rhinology. Articles were reviewed from four issues per journal per year, and data was collected on: time of publication; subspeciality; number of authors; sex of first and last authors; country of practice of first author and country where each study was conducted. Trends were examined though univariate and multivariate logistic regression models. Results 2998 articles were included. 93.9% of first authors and 94.2% of studies were from high‐income countries. Women were first authors in 31.5% (n = 912) and senior authors in 18.4% (n = 524) of articles. Female first authorship significantly increased between 2011 and 2020 however female senior authorship remained the same. There have been no significant changes in the proportion of published articles from low‐and middle‐income countries (LMIC) over time (p = .65). Amongst the LMIC articles, 72% came from Brazil, Turkey or China and there were no published papers from countries with a low‐income economy (gross national income per capita of $1085 or less). Conclusions Although female first authorship has increased in the last decade, there has been minimal other demographic change in authorship over this time. High‐impact otolaryngology journals poorly represent academia in low‐and‐middle income countries. There is a need for increased advocacy promoting gender and geographical research equity in academic medicine. Level of Evidence III.
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- 2023
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10. ISOM 2023 research Panel 4 - Diagnostics and microbiology of otitis media
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Tamir, Sharon Ovnat, Bialasiewicz, Seweryn, Brennan-Jones, Christopher G., Der, Carolina, Kariv, Liron, Macharia, Ian, Marsh, Robyn L., Seguya, Amina, and Thornton, Ruth
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- 2023
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11. 'Let Them Do PE!' the 'Becoming' of Swedish Physical Education in the Age of COVID-19
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Kamoga, Seguya and Varea, Valeria
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Sweden received worldwide attention for its approach to managing the COVID-19 pandemic. Notably, throughout the pandemic, Sweden was one of the few countries that did not implement any lockdown measures. This meant that primary schools remained open and classes proceeded as usual, including the delivery of physical education (PE). This paper explores PE teachers' perceptions of the effects of the COVID-19 pandemic on Swedish PE. Data were collected through semi-structured interviews with seven PE teachers. Results suggest that teaching PE during COVID-19 has led to disparate challenges and changes for teachers, including modifications in context, content, roles and responsibilities, as well as the handling of issues concerning physical contact and proximity among students and teachers. The conclusions of this study reveal that in the midst of the COVID-19 pandemic, the parameters of PE in Sweden are changing more rapidly now than ever before. Understanding how the pandemic has impacted the subject of PE and its delivery might create opportunities for further discussions, possible solutions and subsequent necessary adjustments in dealing with the ongoing COVID-19 situation.
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- 2022
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12. Vestibular migraine in low- and lower-middle-income countries: A scoping review
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Kim, Eric K., Seguya, Amina, Thaw, May Htoo, Tahir, Peggy, Formeister, Eric J., Waterworth, Christopher J., and Jaffer, Ali F.
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- 2023
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13. Implementing hearing screening among children aged 0–59 months at established immunization clinics in Uganda: A multi-center study
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Ndoleriire, Christopher, Ssenyonjo, Kagga Douglas, Fiona, Kabagenyi, Bisso, Fred, Nakku, Doreen, Okema, Louis, Mukiibi, Isaac, Nakafeero, Mary, Nyabigambo, Agnes, Matsiko, Sedrack, and Seguya, Amina
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- 2023
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14. Are open access article processing charges affordable for otolaryngologists in low-income and middle-income countries?
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Seguya, Amina, Salano, Valerie, Okerosi, Samuel, Kim, Eric K., Shrime, Mark G., Viljoen, Gerrit, and Fagan, Johannes J.
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- 2023
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15. Barriers to head and neck cancer care in high-income and low- and middle-income countries: a scoping review
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Sprow, Holly, Heer, Baveena, Nuss, Sarah, Jashek-Ahmed, Farizeh, Wiedermann, Joshua, and Seguya, Amina
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- 2023
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16. Chlorhexidine versus organoselenium for inhibition of S. mutans biofilm, an in vitro study
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Seguya, Abdul, Mowafy, Mohamed, Gaballah, Ahmed, and Zaher, Abbas
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- 2022
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17. Chlorhexidine versus organoselenium for inhibition of S. mutans biofilm, an in vitro study
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Abdul Seguya, Mohamed Mowafy, Ahmed Gaballah, and Abbas Zaher
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Organoselenium ,Selenium ,Chlorhexidine diacetate ,Chlorhexidine varnish biofilm formation ,White spot lesions ,S. mutans ,Dentistry ,RK1-715 - Abstract
Abstract Background Chemical Plaque control by antimicrobial agent application can defend the teeth against caries. S. mutans is considered the main etiologic factor for caries. This was an in vitro study to compare between the efficacy of chlorhexidine diaceteate varnish, and an organoselenium sealant, to prevent S. mutans biofilm formation on human teeth. Methods Fourty five premolars extracted for orthodontic purposes were randomly divided into 3 groups of 15 teeth each. One control group and two test groups, chlorhexidine diaceteate varnish and an organoselenium sealant. The teeth were autoclaved before S. mutans biofilm was induced on to each in their respective groups. The reading T1 was taken for each tooth to assess the number of S. mutans attached in order to compare for differences in surface area among the 3 groups. The respective test materials were applied onto the teeth and biofilm induced onto them in their respective groups. The reading T2 was taken for the 2 test groups. The 3 groups were then subjected to aging for a period equivalent to 5 months before the biofilm was induced to take the reading T3 for the number of S. mutans. We used vortexing of the teeth to disrupt the biofilm at time points T1, T2 and T3. S. mutans count was then done using PCR. Results There were significantly lower S. mutans counts in the control group as compared to the chlorhexidine diacetate group at T3.There were no other statistically significant differences found. Conclusion Both organoselenium and Chlorhexidine diacetate do not inhibit S. mutans biofilm attachment onto the teeth.
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- 2022
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18. An Experimental Study to Determine the Antibacterial Activity of Selected Petroleum Jellies against Selected Bacteria that cause Skin Infections.
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Joseph Tumwine, Joshua Kitimbo, Lameka Buyinza Seguya Yiga, John Kateregga, Agnes Turyamubona, and Gerald Mboowa
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Skin infections ,Petroleum jellies ,Antibacterial activity ,General works ,R5-130.5 ,Infectious and parasitic diseases ,RC109-216 ,Surgery ,RD1-811 ,Public aspects of medicine ,RA1-1270 - Abstract
Background: The skin is the largest organ of the body and forms its first line of defense against pathogens. When the integrity of this natural protective barrier is compromised, it’s an opportune moment for pathogenic microorganisms such as Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus pyogenes among others to invade the body causing skin infections such as folliculitis, acne, impetigo among others. Objectives: This study aimed at determining the phytochemical profile of the selected petroleum jellies, determining the antibacterial activity of different petroleum jellies on selected bacteria causing skin infections, comparing the antibacterial activity of the jellies to that of the commonly used drugs against skin infections, and determining the minimum inhibitory concentration (MIC) of the jellies exhibiting antibacterial activity. Methods: The antibacterial activity of the jellies was determined by the agar well diffusion method (AWD) and the minimum inhibitory concentration (MIC) was determined by the broth dilution method. Results: Only herbal jellies exhibited antibacterial activity against at most two of the three bacterial species studied. The MIC values for the herbal jellies ranged from 47 mg/ml to 188 mg/ml. Conclusion: The non-herbal petroleum jellies did not show antibacterial activity while that of herbal jellies was minimal with very low potency and thus should not be relied on for wound healing or curing skin infections. Recommendations: The antibacterial activity of jellies should be tracked diligently to detect and address antimicrobial resistance as it arises to ensure that they remain efficacious.
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- 2022
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19. A Descriptive Study on Diagnostic Timelines, and Factors Influencing Delayed Diagnosis Among Head and Neck Cancer Patients at Uganda Cancer Institute
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Lalango, Fiona, primary, Kabagenyi, Fiona, additional, Seguya, Amina, additional, Byaruhanga, Richard, additional, and Otiti, Jeff, additional
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- 2024
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20. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La 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Sungurtekin, H, Junior, H, Moloo, H, Bayhan, H, Şevi̇k, H, Embarek, H, Hamid, H, Pradeep, I, Donkin, I, Ateca, I, Jafarov, I, Salisu, I, Abdalaal, I, Garzali, I, Sall, I, Adebara, I, Aghadi, I, Ugwu, I, Zapardiel, I, Reis, I, Nwafor, I, Fakhradiyev, I, Surya, I, Robo, I, Njokanma, I, Iannone, I, Khan, I, Correia, I, Königsrainer, I, Seiwerth, I, Linero, I, Kadiri, I, Florian, I, Tzima, I, Akrida, I, Baloyiannis, I, Gerogiannis, I, Katsaros, I, Tsakiridis, I, Valioulis, I, Negoi, I, Yadev, I, De Haro Jorge, I, Vázquez, I, Dajti, I, Russo, I, Afzal, I, Wasserman, I, Chukwu, I, Gracia, I, Oliver, I, Hughes, I, Mondi, I, Ncogoza, I, Bsisu, I, Rashid, I, Balasubramanian, I, Omar, I, Dominguez-Rosado, I, Smati, I, Vokshi, I, Al-Badawi, I, Saleh, I, Pilkington, I, Kirac, I, Trostchansky, I, Gawron, I, Trebol, J, Martellucci, J, Andreuccetti, J, Abou-Khalil, J, Shah, J, Manickavasagam, J, De Alarcón, J, Mihanovic, J, O'Riordan, J, Archer, J, Ashcroft, J, Blair, J, Hamill, J, Munthali, J, Park, 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Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, 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Mayo-Yáñez, Miguel, Melo, Miguel Rocha, Ruiz-Marín, Miguel, Eiras, Miguel Angel Freiria, Cunha, Miguel F, Pertea, Mihaela, Slavchev, Mihail, Davidescu, Mihnea, Prieto, Mikel, Agapov, Mikhail, Gahwagi, Milad, Prats, Milagros Carrasco, Rudic, Milan, Verbic, Milena Senica, Kostusiak, Milosz, Stoleriu, Mircea Gabriel, Lucas, Miriam Abellan, Barone, Mirko, Ahmad, Misbahu, Alemu, Misganaw Alemu Adimass, Fatima, Mishal, Ida, Mitsuru, Sahu, Mo, Muhaisen, Mo'nes, Salem, Moacyr, Emara, Moataz Maher, Oludara, Mobolaji, Sotudeh, Mohadeseh, Kassab, Mohamad B, Abdelkhalek, Mohamed, Alsori, Mohamed, Anwar, Mohamed, El-Kassas, Mohamed, Elbahnasawy, Mohamed, Eldabaa, Mohamed, Rabie, Mohamed, Hassanin, Mohamed Abdelghafor, Thaha, Mohamed Adhnan, Ali, Mohamed Shafi Mahboob, Alhamid, Mohammad, Almoshantaf, Mohammad Badr, Keramati, Mohammad Reza, Bafaquh, Mohammed, Abuzaid, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Alkahlan, Mohammed, Alwash, Mohammed, Alyousef, Mohammed, Amir, Mohammed, 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Muntaser Abu, Aljiffry, Murad, Kalın, Murat, Kurawa, Musbahu, Dincer, Müserref Beril, Tolani, Musliu Adetola, Soytas, Mustafa, Yakubu, Mustapha, Usman, Mustapha Ibrahim, Aremu, Muyiwa, Paranyak, Mykola, Talat, Nabila, Kausar, Nabila, Dudi-Venkata, Nagendra, Bazzi, Nagham, Hasan, Najat Ben, Van Wyk, Naomi Natasha, Shaban, Naseebah, Almgla, Naser, Kandevani, Naser Yousefzadeh, Alzerwi, Nasser, Alvarez, Natalia, Motas, Natalia, Rincón, Natalia Andrea Rivera, Blencowe, Natalie, Simon, Natalie, Aghtarafi, Natasha, Ghuman, Navdeep Kaur, Sharma, Naveen, Wijekoon, Naveen, Kumar, Navin, Hassan, Naya, Onyemaechi, Ndubuisi, Prijović, Nebojša, Özçay, Necdet, Goel, Neha, Segaren, Neil, Sharma, Neil, Kalyva, Nektaria, Palacios, Nelson Morales, Alonso, Nestor Fabian Pedraza, Onyeagwara, Ngozi, Petrucciani, Niccolò, Daddi, Niccolo’, Lightfoot, Nicholas, Power, Nicholas, Segaren, Nicholas, Starr, Nichole, Dreger, Nici Markus, Cillara, Nicola, Colucci, Nicola, Eardley, Nicola, Tartaglia, Nicola, Zanini, Nicola, Bacalbasa, Nicolae, Campuzano, Nicolas, Mouawad, Nicolas, Federico, Nicoletta Sveva Pipitone, Tamini, Nicolò, Mariani, Nicolò Maria, Beasley, Nigel, Adu-Aryee, Nii Armah, Burlov, Nikita, Dimitrokallis, Nikolaos, Gouvas, Nikolaos, Machairas, Nikolaos, Memos, Nikolaos, Thomakos, Nikolaos, Tsakiridis, Nikolaos, Schizas, Nikolaos, Börner, Nikolaus, Theochari, Nikoletta, Al-Saadi, Nina, Glass, Nina, Horesh, Nir, R, Nissi Evelyn, Gahlot, Nitesh, Ismail, Nizar, Aljirdabi, Noof, Maria, Noor Ul Huda, Trabulsi, Nora, Akeel, Nouf, Borges, Nuno, Moda, Nupur, Redondo, Nuria Villacé, Nyarko, Obed Ofori, Ginghina, Octav, Enciu, Octavian, Okere, Oghenekevwe, Ekwunife, Okechukwu Hyginus, Quadri, Oladeji, Ogundoyin, Olakayode, Tucker, Olga, Mateo-Sierra, Olga, Azzis, Olivier, Ojewuyi, Olufemi, Habeeb, Olufemi, Idowu, Olufemi, Elebute, Olumide, Agboola, Oluseyi, Ladipo-Ajayi, Oluwaseun, Oyinloye, Oluwaseun, Adebola, Oluwaseyi, Ekor, Oluwayemisi, Ogundoyin, Oluwole, Salamanca, Omar, Vergara-Fernandez, Omar, Wafi, Omar, Aladawi, Omar, Bahassan, Omar Mohammed, Tammo, Ömer, Ozkan, Omer Faruk, Williams, Omolara Modupe, Salami, Omotayo, Akinajo, Opeyemi, Sakhov, Orazbek, Gallo, Oreste, Sole, Oriol Martin, Milella, Oronzo, Alser, Osaid, Bettar, Osama Al, Alomar, Osama, Osman, Osama Saeed, Aisuodionoe-Shadrach, Oseremen, Basnayake, Oshan, Bozbiyik, Osman, Hodges, Owen, Ojo, Owolabi, Yanık, Özge, Mutlu, Özgecan Pırıl Zanbak, Kazan, Ozgur, Calavia, Pablo, García, Pablo Rodríguez, Urriza, Pablo Vallés, Lopez, Paloma Rodriguez, Christidis, Panagiotis, Dorovinis, Panagiotis, Kokoropoulos, Panagiotis, Mourmouris, Panagiotis, Papatheodorou, Panayiotis, Garg, Pankaj Kumar, Patel, Panna, Vassiliu, Panteleimon, Campennì, Paola, De Nardi, Paola, Bernante, Paolo, Ubiali, Paolo, Baroffio, Paolo, Pizzini, Paolo, Sapienza, Paolo, Myrelid, Par, Chatzikomnitsa, Paraskevi, Tsiantoula, Paraskevi, Gada, Parth, Avella, Pasquale, Cianci, Pasquale, Romero, Patricia, Méndez, Patricia Serrano, Pazmiño, Patricio Andrés Freile, Coughlin, Patrick, Kirchweger, Patrick, Pessaux, Patrick, Maguire, Patrick J, Petrone, Patrizio, Cullis, Paul, Köglberger, Paul, Marriott, Paul, Nankivell, Paul, Santos-Costa, Paulo, Martins, Paulo N, Panahi, Pedram, Botelho, Pedro, Teixeira, Pedro, Escobar, Pedro, Vázquez, Pedro José Gil, Gribnev, Petar, Nolte, Peter, Agbonrofo, Peter, Bobak, Peter, Choong, Peter, Elbe, Peter, Hutchinson, Peter, Labib, Peter, Paal, Peter, Pockney, Peter, Reemst, Peter, Szatmary, Peter, Vaughan-Shaw, Peter G, Alexander, Philip, Pucher, Philip, Stather, Philip, Foessleitner, Philipp, Winnand, Philipp, Zehnder, Philipp, Kruse, Philippe, Matos, Philomena Alice Wawer, Lapolla, Pierfrancesco, Cicerchia, Pierfranco Maria, Solli, Piergiorgio, Di Lascio, Pierpaolo, Zarif, Pierre, Champagne, Pierre-Olivier, Anoldo, Pietro, Bertoglio, Pietro, Fransvea, Pietro, Familiari, Pietro, Lombardi, Pietro Maria, Stogowski, Piotr Tomasz, Bruzzaniti, Placido, Tripathi, Prashant, D'sa, Prashanth, Salunke, Pravin, Shah, Pritik A, Punjabi, Prof Prakash P, Christodoulou, Prokopis, Hamdan, Qusai, Tawalbeh, Ra'fat, Gadelkareem, Rabea, Awad, Rabih, Callcut, Rachael, Clegg, Rachael, Choron, Rachel, Payne, Rachel, Gefen, Rachel, Costea, Radu, Drasovean, Radu, Mirica, Radu Mihail, Ravindra, Raevin, Fajardo, Rafael Torres, Nunes, Rafael Leite, Aspide, Raffaele, Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimundas, Kalayarasan, Raja, Mohan, Rajashekar, Singh, Rajdeep, Sivaprakasam, Rajesh, Seenivasagam, Rajkumar Kottayasamy, Rajendram, Rajkumar, Radulescu, Raluca Bievel, Goicea, Raluca, Seshadri, Ramakrishnan Ayloor, Sarı, Ramazan, Nataraja, Ramesh, Aslam, Ramisha, Abdelemam, Rania, Shrestha, Rashmit, Bharathan, Rasiah, Pellini, Raul, Guevara, Raul, Agarwal, Ravi, Vissapragada, Ravi, Alharmi, Rawan Arahman, Sayyed, Raza, Browning, Rebecca, Critchley, Rebecca, Mallick, Rebecca, Alarabi, Rehab, Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
21. ISOM 2023 research Panel 4 - Diagnostics and microbiology of otitis media
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Ovnat Tamir, Sharon, primary, Bialasiewicz, Seweryn, additional, Brennan-Jones, Christopher G., additional, Der, Carolina, additional, Kariv, Liron, additional, Macharia, Ian, additional, Marsh, Robyn L., additional, Seguya, Amina, additional, and Thornton, Ruth, additional
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- 2023
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22. 19 Months Toddler with a Giant Oral Capillary Hemangioma, a Case Report
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Fiona Kabagenyi, Sandra Petti Anena, and Amina Seguya
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General Medicine - Published
- 2023
23. Barriers to head and neck cancer care in high-income and low- and middle-income countries: a scoping review
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Holly Sprow, Baveena Heer, Sarah Nuss, Farizeh Jashek-Ahmed, Joshua Wiedermann, and Amina Seguya
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Otorhinolaryngology ,Surgery - Published
- 2023
24. Are open access article processing charges affordable for otolaryngologists in low-income and middle-income countries?
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Amina Seguya, Valerie Salano, Samuel Okerosi, Eric K. Kim, Mark G. Shrime, Gerrit Viljoen, and Johannes J. Fagan
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Otorhinolaryngology ,Surgery - Published
- 2023
25. Essential equipment and services for otolaryngology care: a proposal by the Global Otolaryngology-Head and Neck Surgery Initiative
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Tarika Srinivasan, Alexander Cherches, Amina Seguya, Valerie Salano, Rolvix H. Patterson, Mary Jue Xu, Blake C. Alkire, Samuel N. Okerosi, and Sharon Ovnat Tamir
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Otorhinolaryngology ,Surgery - Published
- 2023
26. OTITIS MEDIA WITH EFFUSION AND ITS ASSOCIATED FACTORS AMONG PATIENTS WITH CEREBRAL PALSY: A MULTI-CENTER STUDY
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Nakintu Maria Assumpta, Kagga Senyonjo Douglas, Idro Richard, Seguya Amina, and Byaruhanga Richard
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Cancer Research ,Global and Planetary Change ,Ecology ,Sociology and Political Science ,Epidemiology ,Computer Networks and Communications ,Cognitive Neuroscience ,Religious studies ,Neuroscience (miscellaneous) ,Experimental and Cognitive Psychology ,Aquatic Science ,Sensory Systems ,Computer Science Applications ,Human-Computer Interaction ,Ophthalmology ,Philosophy ,Oncology ,Insect Science ,Animal Science and Zoology ,Computer Vision and Pattern Recognition ,Ecology, Evolution, Behavior and Systematics ,Nature and Landscape Conservation - Abstract
Children with cerebral palsy (CP) are more prone to Otitis media with effusion (OME). We set out to determine the prevalence and factors associated with OME among patients with CPaged 2 to 18 years of age at two tertiary hospitals. Across-sectional study design was used. Diagnosis of OME was made on presence of a type B tympanogram. Of the 151 patients with CPrecruited the median age was 3 years (IQR 2.5-6.9). Majority were males (64.2%), had non-ambulatory CP (78.8%) and had breastfed for over 6 months (74.8%). Allergic rhinitis and nasal regurgitation of feeds were reported in 40.4% and 69.5% respectively. The prevalence of OME was 43.7%. Children who were breastfed for over 6 months (p value = 0.025) were less likely to have OME while presence of allergic rhinitis (p value = 0.016) and nasal regurgitation of feeds (p value = 0.035) increased the odds of presence of OME. The prevalence of OME among patients with CP is high (43.7%). Children with CP should breastfeed for more than 6 months to protect them against OME while timely management of nasal regurgitation of feeds and allergic rhinitis may minimize the risk of OME in these patients
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- 2023
27. Feasibility of establishing an infant hearing screening program and measuring hearing loss among infants at a regional referral hospital in south western Uganda.
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Amina Seguya, Francis Bajunirwe, Elijah Kakande, and Doreen Nakku
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Medicine ,Science - Abstract
IntroductionDespite the high burden of hearing loss (HL) globaly, most countries in resource limited settings lack infant hearing screening programs(IHS) for early HL detection. We examined the feasibility of establishing an IHS program in this setting, and in this pilot program measured the prevalence of infant hearing loss (IHL) and described the characteristics of the infants with HL.MethodsWe assessed feasibility of establishing an IHS program at a regional referral hospital in south-western Uganda. We recruited infants aged 1 day to 3 months and performed a three-staged screening. At stage 1, we used Transient Evoked Oto-acoustic Emissions (TEOAEs), at stage 2 we repeated TEOAEs for infants who failed TEOAEs at stage 1 and at stage 3, we conducted Automated brainstem responses(ABRs) for those who failed stage 2. IHL was present if they failed an ABR at 35dBHL.ResultsWe screened 401 infants, mean age was 7.2 days (SD = 7.1). 74.6% (299 of 401) passed stage 1, the rest (25.4% or 102 of 401) were referred for stage 2. Of those referred (n = 102), only 34.3% (35 of 102) returned for stage 2 screening. About 14.3% (5/35) failed the repeat TEOAEs in at least one ear. At stage 3, 80% (4 of 5) failed the ABR screening in at least one ear, while 25% (n = 1) failed the test bilaterally. Among the 334 infants that completed the staged screening, the prevalence of IHL was 4/334 or 12 per 1000. Risk factors to IHL were Newborn Special Care Unit (NSCU) admission, gentamycin or oxygen therapy and prematurity.ConclusionsIHS program establishment in a resource limited setting is feasible. Preliminary data indicate a high prevalence of IHL. Targeted screening of infants at high risk may be a more realistic and sustainable initial step towards establishing IHS program s in a developing country like Uganda.
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- 2021
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28. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Global Health Research Unit on Global Surgery, National Institute for Health and Care Research, Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, James, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, A, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abbas, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Mahmoud, Abdelrahman, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Tarek, Ahmed, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, Vagge, Aldo, Maquilón, Alejandra Jara, Leon-Andrino, Alejandro, Sekulić, Aleksandar, Trifunovski, Aleksandar, Mako, Aleksandro, Bedada, Alemayehu Ginbo, Broglia, Alessandro, Coppola, Alessandro, Giani, Alessandro, Grandi, Alessandro, Iacomino, Alessandro, Moro, Alessandro, D’amico, Alessia, Malagnino, Alessia, Tang, Alethea, Doyle, Alex, Alfieri, Alex, Haynes, Alex, Wilkins, Alex, Baldwin, Alexander, Heriot, Alexander, Laird, Alexander, Lazarides, Alexander, O'connor, Alexander, Trulson, Alexander, Rokohl, Alexander Christopher, Caziuc, Alexandra, Triantafyllou, Alexandra, Anesi, Alexandre, Nikova, Alexandrina, Andrianakis, Alexandros, Charalabopoulos, Alexandros, Tsolakidis, Alexandros, Chirca, Alexandru, Arnaud, Alexis P, Narvaez-Rojas, Alexis Rafael, Kavalakat, Alfie, Spina, Alfio, Recordare, Alfonso, Annicchiarico, Alfredo, Conti, Alfredo, Mohammed, Alhassan Datti, Kocataş, Ali, Almhimid, Ali, Arnaout, Ali, Fahmy, Ali, Mangi, Ali, Modabber, Ali, Ulas, Ali Bilal, Mohamedahmed, Ali Yasen Y, Frontali, Alice, Moynihan, Alice, Yunus, Alif, Ahmad, Aline, Kent, Alistair J, Khamees, Almu'atasim, Ugwu, Aloy Okechukwu, Turan, Alparslan, Mohammed, Alsnosy Abdullah Khalefa, Navarro-Barrios, Alvaro, Yebes, Alvaro, De Sousa, Álvaro Francisco Lopes, Moreno, Amabelle, Sethi, Aman, Dawson, Amanda Caroline, Othman, Amani Alsayd Abdulsalam, Kaur, Amanjot, Wolde, Amanuel, Antonelli, Amedeo, Scifo, Amedeo, Alhamad, Ameen, Davis, Amelia, Alderazi, Amer, Harky, Amer, Mohammed-Durosinlorun, Amina, Seguya, Amina, Okhakhu, Amina, Chamakhi, Amine, Sebai, Amine, Souadka, Amine, Asla, Amir, Agrawal, Amit, Persad, Amit, Gupta, Amit, Elgazar, Amr, Kulkarni, Amruta, Coates, Amy, Bellés, Ana Ciscar, Hadzibegovic, Ana Danic, Jotic, Ana, Kowark, Ana, Martins, Ana, Pineda, Ana Mejía, Peral, Ana, Gollarte, Ana Sánchez, Senent-Boza, Ana, Camarena, Ana Isabel Avellaneda, Castaño-Leon, Ana M, Bravo, Ana Maria Minaya, Moro, Ana María Gimeno, Musina, Ana-Maria, Tapia-Herrero, Ana-María, Kothari, Anai, Gupta, Anand, Raja, Anand, Aljaiuossi, Anas, Taha, Anas, Majbar, Anass Mohammed, Prodromidou, Anastasia, Kanatas, Anastasios, Gupte, Anaya, Zakaria, Andee Dzulkarnaen, Balla, Andrea, Barberis, Andrea, Bondurri, Andrea, Bottari, Andrea, Costantino, Andrea, Figus, Andrea, Lauretta, Andrea, Mingoli, Andrea, Romanzi, Andrea, Sagnotta, Andrea, Scacchi, Andrea, Picchetto, Andrea, Valadez, Andrea Estefania Cueto, Luzzi, Andrea-Pierre, Älgå, Andreas, Fontalis, Andreas, Hecker, Andreas, Demetriades, Andreas K, Serban, Andreea-Madalina, Văcărașu, Andrei Bogdan, Cokan, Andrej, Isaza-Restrepo, Andres, Beamish, Andrew, Schache, Andrew, Stevenson, Andrew, Yiu, Andrew, Cockbain, Andrew J, Litvin, Andrey, Abad-Motos, Ane, Becerra, Angel, Ramos, Ángel Cilleruelo, Chiaradia, Angela, Dell, Angela, Romano, Angela, Pascale, Angelo, Marra, Angelo Alessandro, Dimas, Angelos, Kolias, Angelos, Cerovac, Anis, Koneru, Anish, Tidjane, Anisse, Agbeko, Anita Eseenam, Bajaj, Ankur, Gosain, Ankush, Allan, Anna, Carreras-Castañer, Anna, D'amore, Anna, Dare, Anna, Maffioli, Anna, Palepa, Anna, Paspala, Anna, Konney, Anna, Gatta, Anna Nunzia Della, Ezanno, Anne-Cecile, Yiallourou, Anneza, Kinnair, Anthony, Rayner, Anthony, Scafa, Anthony Kevin, Bowan, Antoinette Bediako, Veglia, Antonella, Russo, Antonino, Maniaci, Antonino, Castaldi, Antonio, Gil-Moreno, Antonio, Maffuz-Aziz, Antonio, Meola, Antonio, Nenna, Antonio, Ferrer, Antonio Perez, Bonilla, Antonio Ramos, Ramos-De La Medina, Antonio, Infante, Antonio Rodriguez, Santoro, Antonio, Laganà, Antonio Simone, Bateman, Antony, Michael, Antony Louis Rex, Abozid, Anwaar, Seidu, Anwar Sadat, Lowery, Aoife, Tantraworasin, Apichat, Rasheed, Aqsa, Picciariello, Arcangelo, Isik, Arda, Saif, Areeba, Anjum, Arfa, Ioannidis, Argyrios, Abeldaño, Ariel, Hussain, Arif, Nathan, Arjun, Bedzhanyan, Arkady, Perfecto, Arkaitz, De Virgilio, Armando, Galvan, Armando, Sablotzki, Armin, Böttcher, Arne, Pellacani, Arrigo, Gatti, Arthur, Ibrahimli, Arturan, Menon, Arun, Sahni, Arun, Mwenda, Aruyaru Stanley, Choudhry, Asad, Jayawardane, Asanka, Gupta, Ashish, Ramasamy, Ashok, Mitul, Ashrarur Rahman, Bawa, Ashvind, Nugur, Ashwani, Rammohan, Ashwin, Sachdeva, Ashwin, Mehraj, Asif, Yildirim, Asif, Alqaseer, Asma, Radwan, Asmaa, Sallam, Asser, Syllaios, Athanasios, Tampakis, Athanasios, Alwael, Athari, Samara, Athina, Eroglu, Atilla, Rahman, Atiqur, Ulkucu, Attila, Zaránd, Attila, Dulskas, Audrius, Tawiah, Augustine, Zani, Augusto, Vas, Aurelia, Lukosiute-Urboniene, Ausra, Adamu, Auwal, Aujayeb, Avinash, Malik, Awais Amjad, İplikçi, Ayberk, Mahmud, Ayesha, Cil, Aylin Pelin, Makanjuola, Ayomide, Akwaisah, Ayoub, Galandarova, Aysuna, Saracoglu, Ayten, Regan, Azel, Barlas, Aziz Mutlu, Alhassan, Baba Alhaji Bin, Mostafa, Badr, Hamida, Baha Ben, Torun, Bahar Canbay, Abdullah, Bahiyah, Balagobi, Balasingam, Banky, Balazs, Singh, Baljit, Alegbeleye, Bamidele, Yigit, Banu, Hajjaj, Baraa Nabil, Burgos-Blasco, Barbara, Seeliger, Barbara, Alayande, Barnabas, Alhazmi, Barrag, Enodien, Bassey, Torre, Beatrice, Pérez, Beatriz Gómez, Tamayo, Beatriz Villota, De Andrés-Asenjo, Beatriz, Quintana-Villamandos, Begoña, Girgin, Behiç, Barmayehvar, Behrad, Beisenov, Bekzat, Creavin, Ben, Dunne, Ben, Marson, Ben, Waterson, Ben, Martin, Benjamin, Zucker, Benjamin, Wong, Benjamin Ngie Xiong, Ozmen, Berk Baris, Hammond, Bernard, Mbwele, Bernard, Núñez, Bernardo, Dhondt, Bert, Gafsi, Besma, Mcleish, Bethan, Lieske, Bettina, Tailor, Bhavesh, La Pira, Biagia, Picardi, Biagio, Zampogna, Biagio, Casagranda, Biagio, Festa, Bianca Maria, Panda, Bijnya, Kirmani, Bilal, Sulaiman, Bilal, Gurung, Binay, Zacharia, Bincy, Bette, Birgit, Ayana, Birhanu, Nikolovska, Bisera, Vilaró, Blanca Capdevila, De Vega Sánchez, Blanca, Hameed, Bm Zeeshan, Diaconescu, Bogdan, Kovacevic, Bojan, Bumber, Boris, Sakakushev, Boris, Tadic, Boris, Malek, Bouhani, Alrayes, Bourhan, Thomas, Bradley, Gális, Branislav, Gallagher, Brendan, Knowles, Brett, Cunningham, Brian, Daley, Brian, Mishra, Brijesh, Ashford, Bruce, Pirozzi, Brunella Maria, Berselli, Bruno, Martinez-Leo, Bruno, Sensi, Bruno, Nardo, Bruno, Celik, Burak, Giray, Burak, Abud, Burçin, Almiqlash, Bushray, Pramesh, C S, Taskiran, Cagatay, De Campos Prado, Caio Antonio, Cipolla, Calogero, Kumar, Calvin, English, Camilla, Riccetti, Camilla, Vanni, Camilla, Brasset, Camille, Downey, Candice, Duffy, Caoimhe, Chwat, Carina, Cutmore, Carina, Sars, Carl, Ratto, Carlo, Pacilio, Carlo Alberto, De La Infiesta García, Carlos, Moreno, Carlos Guijarro, Magalhães, Carlos, Prada, Carlos, Zapata, Carlos Shiraishi, Senni, Carlotta, Flumignan, Carolina Dutra Queiroz, Martinez-Perez, Carolina, Duarte, Carolina Lugo, Garcia, Carolina Soledad Romero, Anderson, Caroline, Hing, Caroline, Cullinane, Carolyn, Cina, Caterina, Zabkiewicz, Catheriner, Sohrabi, Catrin, Guldogan, Cem Emir, Ciubotaru, Cezar, Desai, Chaitya, Raut, Chandrajit, Demetriou, Charis, Handford, Charles, Okpani, Charles, Paranjape, Charudutt, Koh, Cherry, Khatri, Chetan, Parmar, Chetan, Mok, Chi Wei, Caricato, Chiara, Marafante, Chiara, Echieh, Chidiebere Peter, Tan, Chih Ying, Ong, Chon Sum, Conso, Christel, Jardinez, Christiaan, Konrads, Christian, Warner, Christian, Makwe, Christian Chigozie, Henein, Christin, Fleming, Christina, Roland, Christina L, Maurus, Christine, Nitschke, Christine, Mittermair, Christof, Mallmann, Christoph, Andro, Christophe, Harmston, Christopher, Kuppler, Christopher, Lotz, Christopher, Nahm, Christopher, Rowe, Christopher, Ryalino, Christopher, Wallis, Christopher, Millward, Christopher Paul, Anthoulakis, Christos, Apostolou, Christos, Chouliaras, Christos, Kalfountzos, Christos, Kaselas, Christos, Vosinakis, Christos, Okereke, Chukwuma, Chean, Chung Shen, Barlow, Ciaran, Tatar, Cihad, Clancy, Cillian, Forde, Cillian, Sharpin, Claire, Mccarthy, Claire, Nestor, Claire, Warden, Claire, Ávila, Clara Castro, Massaguer, Clara, Fang, Clarissa Ern Hui, Martins, Claudia Pinto, Guerci, Claudio, Mauriello, Claudio, Holzmeister, Clemens, Miller, Clemens, Weber, Clemens, Wiesinger, Clemens Georg, Kenington, Cleo, Noel, Colin, Sue-Chue-Lam, Colin, Adumah, Collins, Neary, Colm, Sen, Comert, Fitzgerald, Conall, Ezeme, Constantine, Nastos, Constantinos, Mesina, Cristian, Bombardini, Cristina, Torregrosa, Cristina, Valdespino, Cristina Puentes, Don, Cristine Pathirannehalage, Wickramasinghe, Dakshitha, Milanesi, Damiano, Armijos, Daniel, Asiimwe, Daniel, Beswick, Daniel, Clerc, Daniel, Cox, Daniel, Doherty, Daniel, Martínez, Daniel Fernández, Lechuga, Daniel Garay, Gero, Daniel, Gil-Sala, Daniel, Lindegger, Daniel, Reim, Daniel, Shaerf, Daniel, Shmukler, Daniel, Branzan, Daniela, Filipescu, Daniela, Rega, Daniela, Bernardi, Daniele, Bissacco, Daniele, Fusario, Daniele, Morezzi, Daniele, Sabella, Danielle, Zimak, Danijela Mrazovac, Vinci, Danilo, Sale, Danjuma, Khan, Danyal Zaman, Thereska, Dariel, Andreotti, Dario, Tartaglia, Dario, Abdulai, Darling Ramatu, Mukherjee, Dattatreya, Verdi, Daunia, Idowu, David, John, David, Johnson, David, Moro-Valdezate, David, Naumann, David, Omar, David, Proud, David, Roberts, David, Guzmán, David Santos, Watson, David, Bergkvist, David Julià, Lumenta, David Benjamin, Ferrari, Davide, Rizzo, Davide, Degarege, Dawit, Castillo, Dayan Fanery Campino, Douglas, Deborah, Wright, Deborah, Nanjiani, Deedar, Bratus, Dejan, Altun, Demet, Sievers, Denise, Vaysburg, Dennis, Katechia, Devvrat, Ghosh, Dhruva, Azize, Diallo Abdoul, Rodrigues, Diana, Pachajoa, Diana Alejandra Pantoja, Hayne, Dickon, Mutter, Didier, Raimondo, Diego, Eskinazi, Diego, Sasia, Diego, Corallino, Diletta, Muduly, Dillip, Grewal, Dilraj, Hadzhiev, Dimitar, Peristeri, Dimitra, Pournaras, Dimitri, Raptis, Dimitri Aristotle, Angelou, Dimitrios, Haidopoulos, Dimitrios, Magouliotis, Dimitrios, Moris, Dimitrios, Schizas, Dimitrios, Symeonidis, Dimitrios, Tsironis, Dimitrios, Korkolis, Dimitrios, Tatsis, Dimitris, Thekkinkattil, Dinesh, Bulian, Dirk Rolf, Pandey, Diwakar, Vatansever, Dogan, Parker, Dominic, Wiedemann, Dominik, Borselle, Dominika, Pedini, Domiziana, Schweitzer, Donald, Venskutonis, Donatas, Otokwala, Job, Adamu, Kabir Musa, Pk, Parvathy, Garod, Mebanshanbor, Ellafi, Amera Ali Dakheel, Zivkovic, Dragana, Jelovac, Drago, Wijeysundera, Duminda, Mcpherson, Duncan, Ryan, Éanna, Ugwu, Ebere, Baidoo, Ebikela Ivie, Shaddad, Ebrahim, Memişoğlu, Ecem, Naranjo, Eddy P Lincango, Brodkin, Edgar, Segalini, Edoardo, Viglietta, Edoardo, Hendriks, Eduard, Bonci, Eduard-Alexandru, Sá-Marta, Eduarda, Ortega, Eduardo Nieto, Gomez, Eduardo Garcia-Loarte, Joviliano, Edwaldo Edner, Clune, Edward, Horwell, Edward, Mains, Edward, Vasarhelyi, Edward, Caruana, Edward J, Nevins, Edward J, Yenli, Edwin Mwintiereh Ta-Ang, Baili, Efstratia, Lostoridis, Eftychios, Morgan, Eghosa, Shiban, Ehab, Latif, Ejaz, Tampaki, Ekaterini Christina, Ezenwa, Ekene, Irune, Ekpemi, Borg, Elaine, Eisa, Elamin, Gialamas, Eleftherios, Parvez, Elena, Theophilidou, Elena, Toma, Elena Adelina, Arnaoutoglou, Eleni, Samadov, Elgun, Kantor, Elie, Ulman, Elif Akbas, Colak, Elif, Cassinotti, Elisa, Bannone, Elisa, Sarjanoja, Elise, Yates, Elizabeth, Vincent, Elizabeth, Lun, Elizabeth Weng Yan, Cerovac, Elmedina, Dif, Elmes Saoussene, Alkhalifa, Elmustafa, Daketsey, Elorm, Fayad, Elsayed A, Sheikh, Eman, Pontecorvi, Emanuele, Cammarata, Emanuele, La Corte, Emanuele, Rausa, Emanuele, Odai, Emeka Danielson, Guasch, Emilia, Cano-Trigueros, Emiliano, Uldry, Emilie, Ros, Emilio Peña, Matthews, Emily, Donmez, Emin Erhan, Giorgakis, Emmanouil, Kapetanakis, Emmanouil, Stamatakis, Emmanouil, Bua, Emmanuel, Schneck, Emmanuel, Nachelleh, Emmanuel Aadereyir, Ofori, Emmanuel Owusu, Akin, Emrah, Gönüllü, Emre, Kirkan, Emre Furkan, Çelik, Enes, Wong, Enoch, Capozzi, Enrico, Pinotti, Enrico, Colás-Ruiz, Enrique, González, Enrique, Fekaj, Enver, Ohazurike, Ephraim, Kebede, Ephrem, Erginöz, Ergin, Duran, Erik Efrain Sosa, Scott, Erin, Aytac, Erman, Albanese, Erminia, Castro, Ernes John, Albayadi, Eslam, Kriem, Eslam, Siddig, Esra, Otify, Esraa, El Tayeb, Essam Eldien Abuobaida Banaga Hag, Hong, Estelle How, Saguil, Esther, Belzile, Etienne, Tuyishime, Eugene, Panieri, Eugenio, Martínez, Eunate Ganuza, Myriokefalitaki, Eva, Wong, Evan G, Samara, Evangelia, Agbeno, Evans Kofi, Drozdov, Evgeniy, Tokidis, Evripidis, Shah, Faaiz Ali, Barra, Fabio, Carbone, Fabio, Ferreli, Fabio, Marino, Fabio, Martinelli, Fabio, D'acapito, Fabrizio, Masciello, Fabrizio, Bàmbina, Fabrizio, Issa, Fadi, Salameh, Fadi-Tamas, Kethy, Fagnon, Mahmood, Fahad, Gareb, Fahed, Idrees, Farah, Karimian, Faramarz, Ashraf, Fariha, Haji, Farnaz, Inayat, Farwa, Begum, Farzana, Nabil, Fatma, Rosa, Fausto, Haider, Fayza, Parray, Fazl, Calculli, Federica, Ferracci, Federica, Saraceno, Federica, Coppola, Federico, Coccolini, Federico, Fusini, Federico, Migliorelli, Federico, Pecoraro, Felice, Alconchel, Felipe, Coimbra, Felipe José Fernandez, Trivik-Barrientos, Felipe, Naegele, Felix, Almarshad, Felwa, Agresta, Ferdinando, Fleming, Fergal, Mendoza-Moreno, Fernando, Brzeszczyński, Filip, Carannante, Filippo, Wu, Fiona, Aljanadi, Firas, Hayati, Firdaus, Campo, Flaminia, Sorbi, Flavia, Milana, Flavio, Takeda, Flavio Roberto, Shekleton, Florence, Gessler, Florian, Recker, Florian, Grama, Florin, Cherbanyk, Floryn, Faponle, Folayemi, Angelis, Fragkiskos, Calabretto, Francesca, Gaino, Francesca, Toia, Francesca, Bianco, Francesco, Bussu, Francesco, Cammarata, Francesco, Castagnini, Francesco, Colombo, Francesco, Ferrara, Francesco, Fleres, Francesco, Guerrera, Francesco, Litta, Francesco, Mongelli, Francesco, Pata, Francesco, Roscio, Francesco, Mulita, Francesk, Ardura, Francisco, Tejero-Pintor, Francisco J, Calvo, Francisco Javier Redondo, Escobedo, Francisco Jose Barbosa, Camacho, Francisco José Barbosa, Odicino, Franco, Schmitt, Françoise, Bloemers, Frank, Hölzle, Frank, Gyamfi, Frank Enoch, Messner, Franka, Koh, Frederick, Cáceres, Freud, Smolle-Juettner, Freyja-Maria, Herman, Frima, Ayeni, Funbi, Djedovic, Gabriel, De Oliveira, Gabriel Paiva, Rodrigues, Gabriel, Wagner, Gabriela, Bellio, Gabriele, Giarratano, Gabriella, Capolupo, Gabriella Teresa, Budd, Gabrielle, Marom, Gad, Poillucci, Gaetano, Thiruchandran, Gajendiran, Nicholson, Gary, Groot, Gary, Hoey, Gary, Bass, Gary Alan, Sachdev, Gaurav, Agarwal, Gaurav, Aggarwal, Gaurav, Cormio, Gennaro, Mazzarella, Gennaro, Perrone, Gennaro, Osterhoff, Georg, Singer, Georg, Dejeu, George, Fowler, George, Garas, George, Gradinariu, George, Theodoropoulos, George, Tzimas, George, Babis, George, Wong, George Kwok Chu, Cross, George W V, Micha, Georgia, Chrysovitsiotis, Georgios, Koukoulis, Georgios, Peros, Georgios, Tsoulfas, Georgios, Kapetanios, Georgios, Karagiannidis, Georgios, Verras, Georgios-Ioannis, Ekwen, Gerald, Perrotta, Gerardo, Petruzzi, Gerardo, Bertelli, Giacomo, Calini, Giacomo, Fiacchini, Giacomo, Pirola, Giacomo Maria, Dolci, Giampiero, Mendiola, Gian, Baiocchi, Gian Luca, Palini, Gian Marco, Prucher, Gian Marco, D'andrea, Giancarlo, Maggiore, Giandomenico, Cassese, Gianluca, Franceschini, Gianluca, Pellino, Gianluca, Saponaro, Gianmarco, Pattacini, Gianmaria Casoni, Pantuso, Gianni, Iannella, Giannicola, Bonsaana, Gilbert Batieka, Lever, Gillian, Brachini, Gioia, Giraudo, Giorgio, Lisi, Giorgio, Russo, Giorgio Ivan, Aprea, Giovanni, Pascale, Giovanni, Tomasicchio, Giovanni, Sandri, Giovanni Battista Levi, Armatura, Giulia, Turri, Giulia, Zaccaria, Giulia, Barugola, Giuliano, Lantone, Giuliano, Gasparini, Giulio, Iacob, Giulio, Sozzi, Giulio, Zancana, Giuseppa, Mercante, Giuseppe, Bianco, Giuseppe, Brisinda, Giuseppe, Consorti, Giuseppe, Currò, Giuseppe, Giannaccare, Giuseppe, Palomba, Giuseppe, Pascarella, Giuseppe, Rotunno, Giuseppe, Spriano, Giuseppe, Vizzielli, Giuseppe, Cucinella, Giuseppe, Sica, Giuseppe, Campisi, Giuseppina, Baiocchi, Glauco, Guerra, Glen R, Pacheco, Glenda Marina Falcon, Atis, Gokhan, Augustin, Goran, Šantak, Goran, Chauhan, Govind Singh, Branagan, Graham, Harris, Grant, Stewart, Grant D, Padmore, Greg, Kocher, Gregor Jan, Di Franco, Gregorio, De Jesus Labrador Hernandez, Gregorio, Christodoulidis, Gregory, Neal-Smith, Gregory, Yim, Guang, Piozzi, Guglielmo Niccolò, Claret, Guillem, Yanowsky-Reyes, Guillermo, Dhaity, Guipson Dhaity, Cakmak, Guldeniz Karadeniz, Mohamed, Guleed, Kucuk, Gultekin Ozan, Ancans, Guntis, Banipal, Gurpreet Singh, De Bacco Marangon, Gustavo, Laporte, Gustavo, Martinez-Mier, Gustavo, Recinos, Gustavo, V, Gustavo Miguel Machain, Benshetrit, Guy, Vijgen, Guy, Pickett, Gwynedd, Rodriguez, H Alejandro, Shiwani, Haaris, Derilo, Habtamu, Awad, Hadeel, El Assaad, Hadi, Raji, Hadijat Olaide, Hardgrave, Hailey, Karakullukcu, Haluk Kerim, Abdussalam, Hameedat Opeyemi, Mustafa, Hamid, Parwaiz, Hammad, Khan, Hamza, Arbab, Hana, Naga, Hani, Salem, Hani, Ulgur, Hanife Seyda, Perez-Chrzanowska, Hanna, Greenlee, Hannah, Javanmard-Emamghissi, Hannah, Lederhuber, Hans, Osman, Hany, Adamou, Harissou, Majid, Haroon Javaid, Goor, Harry Van, Spiers, Harry V M, Manesh, Hassan Fatemi, Mushtaq, Hassan, Aljaaly, Hattan, Hasan, Hayat Ben, Ahmed, Hayat Tarig Abdelhafiz, Martinez-Said, Hector, Aguado, Héctor J, Consani, Heitor, Chaplin, Helen, Mohan, Helen, Van Vliet, Helen, Lohse, Helmut Alfredo Segovia, Shah, Hemina, Claireaux, Henry, Lule, Herman, Juara, Hernández, Abozied, Hesham, Bayo, Heura Llaquet, Alibrahim, Hidar, Kroon, Hidde M, Ulman, Hilmican, Khan, Hina, Yonekura, Hiroshi, Abou-Taleb, Hisham, Wong, Ho Ying Flora, Carpenter, Holly, Majd, Hooman Soleymani, Zenha, Horácio, Mayer, Horacio F, Elghadban, Hosam, Abdou, Hossam, Elfeki, Hossam, Yusefi, Hossein, Gomez-Fernandez, Hugo, Horsfall, Hugo Layard, Meleiro, Hugo, Sungurtekin, Hulya, Junior, Humberto Fenner Lyra, Moloo, Husein, Bayhan, Hüseyin, Şevi̇k, Hüsnü, Embarek, Hussein, Hamid, Hytham K S, Pradeep, I H D Saman, Donkin, Ian, Ateca, Ibabe Villalabeitia, Jafarov, Ibrahim, Salisu, Ibrahim, Abdalaal, Ibrahim, Garzali, Ibrahim Umar, Sall, Ibrahima, Adebara, Idowu, Aghadi, Ifeanyi, 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Kutuzov, V, Stoyanov, V, Oktseloglou, V, Flis, V, Elhassan, W, Yang, W, Soon, W, Tashkandi, W, Al-Khyatt, W, Mabood, W, Bijou, W, Wijenayake, W, D, W, Krawczyk, W, Atkins, W, Bolton, W, White, W, Ceelen, W, Vagena, X, Gozal, Y, Baba, Y, Subramani, Y, Jansen, Y, Mittal, Y, Kara, Y, Zwain, Y, Noureldin, Y, Alawneh, Y, Aydin, Y, Lam, Y, Tang, Y, Lim, Y, Dean, Y, Tanas, Y, Su, Y, Fujimoto, Y, Altinel, Y, Frolova, Y, Oshodi, Y, Fadel, Z, Zahid, Z, Elahi, Z, Djama, Z, Zaheen, Z, Jawad, Z, Demetrashvili, Z, Gebremeskel, Z, Gudisa, Z, Alyami, Z, Garoufalia, Z, Li, Z, Zimak, Z, Radin, Z, and Balogh, Z
- Subjects
general surgery ,acute care surgery ,Settore MED/18 - CHIRURGIA GENERALE ,climate change ,trauma ,Settore MED/40 - Ginecologia E Ostetricia ,environmental impact ,surgery ,Settore MED/31 - Otorinolaringoiatria ,None ,Medicine and Health Sciences ,Surgery ,operating theatre ,environment - Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
29. Measuring performance of low impact development practices for the surface runoff management
- Author
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Wenyu Yang, Kurt Brüggemann, Kiwanuka David Seguya, Ehtesham Ahmed, Thomas Kaeseberg, Heng Dai, Pei Hua, Jin Zhang, and Peter Krebs
- Subjects
Low impact development ,Stormwater management model ,Cost-effectiveness analysis ,Decision-making process ,Environmental sciences ,GE1-350 ,Environmental technology. Sanitary engineering ,TD1-1066 - Abstract
Continuous urbanization over the last few years has led to the increase in impervious surfaces and stormwater runoff. Low Impact Development (LID) is currently receiving increased attention as a promising strategy for surface runoff management. To analyze the performance of LID practices for surface runoff management, a long-term hydrological modeling from 2001 to 2015 along with a cost-effectiveness analysis were carried out on a campus in Dresden, Germany. Seven LID practices and six precipitation scenarios were designed and simulated in a Storm Water Management Model (SWMM). A cost-effectiveness analysis was conducted by calculating the life-cycle costs and runoff removal rate of LID practices. Results demonstrated that the LID practices significantly contributed to surface runoff mitigation in the study area. The LID performance was primarily affected by the length of the precipitation scenarios and LID implementing schemes. The runoff removal rate of the LID practices fluctuated significantly when the rainfall scenario was shorter than 12 months. When the rainfall scenario exceeded 1 year the effects on the runoff removal rate was constant. The combination of an infiltration trench, permeable pavement, and rain barrel (IT + PP + RB), was the best runoff control capacity with a removal rate ranging from 23.2% to 27.4%. Whereas, the rain barrel was the most cost-effective LID option with a cost-effectiveness (C/E) ratio ranged from 0.34 to 0.41. The modeling method was improved in this study by conducting long-term hydrological simulations with different durations rather than short-term simulations with single storms. In general, the methods and results of this study provided additional improvements and guidance for decision-making process regarding the implementation of appropriate LID practices.
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- 2020
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30. The Global Otolaryngology–Head and Neck Surgery Workforce
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Petrucci, Beatriz, primary, Okerosi, Samuel, additional, Patterson, Rolvix H., additional, Hobday, Sara B., additional, Salano, Valerie, additional, Waterworth, Christopher J., additional, Brody, Robert M., additional, Sprow, Holly, additional, Alkire, Blake C., additional, Fagan, Johannes J., additional, Tamir, Sharon Ovnat, additional, Der, Carolina, additional, Bhutta, Mahmood F., additional, Maina, Ivy W., additional, Pang, Jonathan C., additional, Daudu, Davina, additional, Mukuzi, Allan G., additional, Srinivasan, Tarika, additional, Pietrobon, Carolina A., additional, Hao, Sheng-Po, additional, Nakku, Doreen, additional, Seguya, Amina, additional, Din, Taseer F., additional, Mbougo, Olga Djoutsop, additional, Mokoh, Lilian W., additional, Jashek-Ahmed, Farizeh, additional, Law, Tyler J., additional, Holt, Elizabeth A., additional, Bangesh, Ali Haider, additional, Zemene, Yilkal, additional, Ibekwe, Titus S., additional, Diallo, Oumar Raphiou, additional, Alvarado, Jaqueline, additional, Mulwafu, Wakisa K., additional, Fenton, John E., additional, Agius, Adrian M., additional, Doležal, Pavel, additional, Mudekereza, Édouard Amani, additional, Mojica, Karen M., additional, Rueda, Ricardo Silva, additional, and Xu, Mary Jue, additional
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- 2023
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31. Gender Disparities in Otolaryngology: A Case Report Reflecting Global Perspectives
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Farizeh Jashek-Ahmed, Yun-Hsuan (Stellina) LEE, Emma Stapleton, and Amina Seguya
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Otorhinolaryngology - Published
- 2022
32. OTITIS MEDIA WITH EFFUSION AND ITS ASSOCIATED FACTORS AMONG PATIENTS WITH CEREBRAL PALSY: A MULTI-CENTER STUDY
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Maria Assumpta, Nakintu, primary, Senyonjo Douglas, Kagga, additional, Richard, Idro, additional, Amina, Seguya, additional, and Richard, Byaruhanga, additional
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- 2023
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33. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, Jame, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, Jenovia Amisti, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abba, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Taha, Abdelrahman Mahmoud Ahmed Abdelsamad, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Hammad, Ahmed Tarek, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, Vagge, Aldo, Maquilón, Alejandra Jara, Leon-Andrino, Alejandro, Sekulić, Aleksandar, Trifunovski, Aleksandar, Mako, Aleksandro, Bedada, Alemayehu Ginbo, Broglia, Alessandro, Coppola, Alessandro, Giani, Alessandro, Grandi, Alessandro, Iacomino, Alessandro, Moro, Alessandro, D’Amico, Alessia, Malagnino, Alessia, Tang, Alethea, Doyle, Alex, Alfieri, Alex, Haynes, Alex, Wilkins, Alex, Baldwin, Alexander, Heriot, Alexander, Laird, Alexander, Lazarides, Alexander, O'Connor, Alexander, Trulson, Alexander, Rokohl, Alexander Christopher, Caziuc, Alexandra, Triantafyllou, Alexandra, Anesi, Alexandre, Nikova, Alexandrina, Andrianakis, Alexandro, Charalabopoulos, Alexandro, Tsolakidis, Alexandro, Chirca, Alexandru, Arnaud, Alexis P, Narvaez-Rojas, Alexis Rafael, Kavalakat, Alfie, Spina, Alfio, Recordare, Alfonso, Annicchiarico, Alfredo, Conti, Alfredo, Mohammed, Alhassan Datti, Kocataş, Ali, Almhimid, Ali, Arnaout, Ali, Fahmy, Ali, Mangi, Ali, Modabber, Ali, Ulas, Ali Bilal, Mohamedahmed, Ali Yasen Y, Frontali, Alice, Moynihan, Alice, Yunus, Alif, Ahmad, Aline, Kent, Alistair J, Khamees, Almu'Atasim, Ugwu, Aloy Okechukwu, Turan, Alparslan, Mohammed, Alsnosy Abdullah Khalefa, Navarro-Barrios, Alvaro, Yebes, Alvaro, De Sousa, Álvaro Francisco Lope, Moreno, Amabelle, Sethi, Aman, Dawson, Amanda Caroline, Othman, Amani Alsayd Abdulsalam, Kaur, Amanjot, Wolde, Amanuel, Antonelli, Amedeo, Scifo, Amedeo, Alhamad, Ameen, Davis, Amelia, Alderazi, Amer, Harky, Amer, Mohammed-Durosinlorun, Amina, Seguya, Amina, Okhakhu, Amina, Chamakhi, Amine, Sebai, Amine, Souadka, Amine, Asla, Amir, Agrawal, Amit, Persad, Amit, Gupta, Amit, Elgazar, Amr, Kulkarni, Amruta, Coates, Amy, Bellés, Ana Ciscar, Hadzibegovic, Ana Danic, Jotic, Ana, Kowark, Ana, Martins, Ana, Pineda, Ana Mejía, Peral, Ana, Gollarte, Ana Sánchez, Senent-Boza, Ana, Camarena, Ana Isabel Avellaneda, Castaño-Leon, Ana M, Bravo, Ana Maria Minaya, Moro, Ana María Gimeno, Musina, Ana-Maria, Tapia-Herrero, Ana-María, Kothari, Anai, Gupta, Anand, Raja, Anand, Aljaiuossi, Ana, Taha, Ana, Majbar, Anass Mohammed, Prodromidou, Anastasia, Kanatas, Anastasio, Gupte, Anaya, Zakaria, Andee Dzulkarnaen, Balla, Andrea, Barberis, Andrea, Bondurri, Andrea, Bottari, Andrea, Costantino, Andrea, Figus, Andrea, Lauretta, Andrea, Mingoli, Andrea, Romanzi, Andrea, Sagnotta, Andrea, Scacchi, Andrea, Picchetto, Andrea, Valadez, Andrea Estefania Cueto, Luzzi, Andrea-Pierre, Älgå, Andrea, Fontalis, Andrea, Hecker, Andrea, Demetriades, Andreas K, Serban, Andreea-Madalina, Văcărașu, Andrei Bogdan, Cokan, Andrej, Isaza-Restrepo, Andre, Beamish, Andrew, Schache, Andrew, Stevenson, Andrew, Yiu, Andrew, Cockbain, Andrew J, Litvin, Andrey, Abad-Motos, Ane, Becerra, Angel, Ramos, Ángel Cilleruelo, Chiaradia, Angela, Dell, Angela, Romano, Angela, Pascale, Angelo, Marra, Angelo Alessandro, Dimas, Angelo, Kolias, Angelo, Cerovac, Ani, Koneru, Anish, Tidjane, Anisse, Agbeko, Anita Eseenam, Bajaj, Ankur, Gosain, Ankush, Allan, Anna, Carreras-Castañer, Anna, D'Amore, Anna, Dare, Anna, Maffioli, Anna, Palepa, Anna, Paspala, Anna, Konney, Anna, Gatta, Anna Nunzia Della, Ezanno, Anne-Cecile, Yiallourou, Anneza, Kinnair, Anthony, Rayner, Anthony, Scafa, Anthony Kevin, Bowan, Antoinette Bediako, Veglia, Antonella, Russo, Antonino, Maniaci, Antonino, Castaldi, Antonio, Gil-Moreno, Antonio, Maffuz-Aziz, Antonio, Meola, Antonio, Nenna, Antonio, Ferrer, Antonio Perez, Bonilla, Antonio Ramo, Ramos-De La Medina, Antonio, Infante, Antonio Rodriguez, Santoro, Antonio, Laganà, Antonio Simone, Bateman, Antony, Michael, Antony Louis Rex, Abozid, Anwaar, Seidu, Anwar Sadat, Lowery, Aoife, Tantraworasin, Apichat, Rasheed, Aqsa, Picciariello, Arcangelo, Isik, Arda, Saif, Areeba, Anjum, Arfa, Ioannidis, Argyrio, Abeldaño, Ariel, Hussain, Arif, Nathan, Arjun, Bedzhanyan, Arkady, Perfecto, Arkaitz, De Virgilio, Armando, Galvan, Armando, Sablotzki, Armin, Böttcher, Arne, Pellacani, Arrigo, Gatti, Arthur, Ibrahimli, Arturan, Menon, Arun, Sahni, Arun, Mwenda, Aruyaru Stanley, Choudhry, Asad, Jayawardane, Asanka, Gupta, Ashish, Ramasamy, Ashok, Mitul, Ashrarur Rahman, Bawa, Ashvind, Nugur, Ashwani, Rammohan, Ashwin, Sachdeva, Ashwin, Mehraj, Asif, Yildirim, Asif, Alqaseer, Asma, Radwan, Asmaa, Sallam, Asser, Syllaios, Athanasio, Tampakis, Athanasio, Alwael, Athari, Samara, Athina, Eroglu, Atilla, Rahman, Atiqur, Ulkucu, Attila, Zaránd, Attila, Dulskas, Audriu, Tawiah, Augustine, Zani, Augusto, Vas, Aurelia, Lukosiute-Urboniene, Ausra, Adamu, Auwal, Aujayeb, Avinash, Malik, Awais Amjad, İplikçi, Ayberk, Mahmud, Ayesha, Cil, Aylin Pelin, Makanjuola, Ayomide, Akwaisah, Ayoub, Galandarova, Aysuna, Saracoglu, Ayten, Regan, Azel, Barlas, Aziz Mutlu, Alhassan, Baba Alhaji Bin, Mostafa, Badr, Hamida, Baha Ben, Torun, Bahar Canbay, Abdullah, Bahiyah, Balagobi, Balasingam, Banky, Balaz, Singh, Baljit, Alegbeleye, Bamidele, Yigit, Banu, Hajjaj, Baraa Nabil, Burgos-Blasco, Barbara, Seeliger, Barbara, Alayande, Barnaba, Alhazmi, Barrag, Enodien, Bassey, Torre, Beatrice, Pérez, Beatriz Gómez, Tamayo, Beatriz Villota, De Andrés-Asenjo, Beatriz, Quintana-Villamandos, Begoña, Girgin, Behiç, Barmayehvar, Behrad, Beisenov, Bekzat, Creavin, Ben, Dunne, Ben, Marson, Ben, Waterson, Ben, Martin, Benjamin, Zucker, Benjamin, Wong, Benjamin Ngie Xiong, Ozmen, Berk Bari, Hammond, Bernard, Mbwele, Bernard, Núñez, Bernardo, Dhondt, Bert, Gafsi, Besma, Mcleish, Bethan, Lieske, Bettina, Tailor, Bhavesh, La Pira, Biagia, Picardi, Biagio, Zampogna, Biagio, Casagranda, Biagio, Festa, Bianca Maria, Panda, Bijnya, Kirmani, Bilal, Sulaiman, Bilal, Gurung, Binay, Zacharia, Bincy, Bette, Birgit, Ayana, Birhanu, Nikolovska, Bisera, Vilaró, Blanca Capdevila, De Vega Sánchez, Blanca, Hameed, Bm Zeeshan, Diaconescu, Bogdan, Kovacevic, Bojan, Bumber, Bori, Sakakushev, Bori, Tadic, Bori, Malek, Bouhani, Alrayes, Bourhan, Thomas, Bradley, Gális, Branislav, Gallagher, Brendan, Knowles, Brett, Cunningham, Brian, Daley, Brian, Mishra, Brijesh, Ashford, Bruce, Pirozzi, Brunella Maria, Berselli, Bruno, Martinez-Leo, Bruno, Sensi, Bruno, Nardo, Bruno, Celik, Burak, Giray, Burak, Abud, Burçin, Almiqlash, Bushray, Pramesh, C S, Taskiran, Cagatay, De Campos Prado, Caio Antonio, Cipolla, Calogero, Kumar, Calvin, English, Camilla, Riccetti, Camilla, Vanni, Camilla, Brasset, Camille, Downey, Candice, Duffy, Caoimhe, Chwat, Carina, Cutmore, Carina, Sars, Carl, Ratto, Carlo, Pacilio, Carlo Alberto, De La Infiesta García, Carlo, Moreno, Carlos Guijarro, Magalhães, Carlo, Prada, Carlo, Zapata, Carlos Shiraishi, Senni, Carlotta, Flumignan, Carolina Dutra Queiroz, Martinez-Perez, Carolina, Duarte, Carolina Lugo, Garcia, Carolina Soledad Romero, Anderson, Caroline, Hing, Caroline, Cullinane, Carolyn, Cina, Caterina, Zabkiewicz, Catheriner, Sohrabi, Catrin, Guldogan, Cem Emir, Ciubotaru, Cezar, Desai, Chaitya, Raut, Chandrajit, Demetriou, Chari, Handford, Charle, Okpani, Charle, Paranjape, Charudutt, Koh, Cherry, Khatri, Chetan, Parmar, Chetan, Mok, Chi Wei, Caricato, Chiara, Marafante, Chiara, Echieh, Chidiebere Peter, Tan, Chih Ying, Ong, Chon Sum, Conso, Christel, Jardinez, Christiaan, Konrads, Christian, Warner, Christian, Makwe, Christian Chigozie, Henein, Christin, Fleming, Christina, Roland, Christina L, Maurus, Christine, Nitschke, Christine, Mittermair, Christof, Mallmann, Christoph, Andro, Christophe, Harmston, Christopher, Kuppler, Christopher, Lotz, Christopher, Nahm, Christopher, Rowe, Christopher, Ryalino, Christopher, Wallis, Christopher, Millward, Christopher Paul, Anthoulakis, Christo, Apostolou, Christo, Chouliaras, Christo, Kalfountzos, Christo, Kaselas, Christo, Vosinakis, Christo, Okereke, Chukwuma, Chean, Chung Shen, Barlow, Ciaran, Tatar, Cihad, Clancy, Cillian, Forde, Cillian, Sharpin, Claire, Mccarthy, Claire, Nestor, Claire, Warden, Claire, Ávila, Clara Castro, Massaguer, Clara, Fang, Clarissa Ern Hui, Martins, Claudia Pinto, Guerci, Claudio, Mauriello, Claudio, Holzmeister, Clemen, Miller, Clemen, Weber, Clemen, Wiesinger, Clemens Georg, Kenington, Cleo, Noel, Colin, Sue-Chue-Lam, Colin, Adumah, Collin, Neary, Colm, Sen, Comert, Fitzgerald, Conall, Ezeme, Constantine, Nastos, Constantino, Mesina, Cristian, Bombardini, Cristina, Torregrosa, Cristina, Valdespino, Cristina Puente, Don, Cristine Pathirannehalage, Wickramasinghe, Dakshitha, Milanesi, Damiano, Armijos, Daniel, Asiimwe, Daniel, Beswick, Daniel, Clerc, Daniel, Cox, Daniel, Doherty, Daniel, Martínez, Daniel Fernández, Lechuga, Daniel Garay, Gero, Daniel, Gil-Sala, Daniel, Lindegger, Daniel, Reim, Daniel, Shaerf, Daniel, Shmukler, Daniel, Branzan, Daniela, Filipescu, Daniela, Rega, Daniela, Bernardi, Daniele, Bissacco, Daniele, Fusario, Daniele, Morezzi, Daniele, Sabella, Danielle, Zimak, Danijela Mrazovac, Vinci, Danilo, Sale, Danjuma, Khan, Danyal Zaman, Thereska, Dariel, Andreotti, Dario, Tartaglia, Dario, Abdulai, Darling Ramatu, Mukherjee, Dattatreya, Verdi, Daunia, Idowu, David, John, David, Johnson, David, Moro-Valdezate, David, Naumann, David, Omar, David, Proud, David, Roberts, 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Elizabeth, Vincent, Elizabeth, Lun, Elizabeth Weng Yan, Cerovac, Elmedina, Dif, Elmes Saoussene, Alkhalifa, Elmustafa, Daketsey, Elorm, Fayad, Elsayed A, Sheikh, Eman, Pontecorvi, Emanuele, Cammarata, Emanuele, La Corte, Emanuele, Rausa, Emanuele, Odai, Emeka Danielson, Guasch, Emilia, Cano-Trigueros, Emiliano, Uldry, Emilie, Ros, Emilio Peña, Matthews, Emily, Donmez, Emin Erhan, Giorgakis, Emmanouil, Kapetanakis, Emmanouil, Stamatakis, Emmanouil, Bua, Emmanuel, Schneck, Emmanuel, Nachelleh, Emmanuel Aadereyir, Ofori, Emmanuel Owusu, Akin, Emrah, Gönüllü, Emre, Kirkan, Emre Furkan, Çelik, Ene, Wong, Enoch, Capozzi, Enrico, Pinotti, Enrico, Colás-Ruiz, Enrique, González, Enrique, Fekaj, Enver, Ohazurike, Ephraim, Kebede, Ephrem, Erginöz, Ergin, Duran, Erik Efrain Sosa, Scott, Erin, Aytac, Erman, Albanese, Erminia, Castro, Ernes John, Albayadi, Eslam, Kriem, Eslam, Siddig, Esra, Otify, Esraa, El Tayeb, Essam Eldien Abuobaida Banaga Hag, Hong, Estelle How, Saguil, Esther, Belzile, 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Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Sompraka, Alkhatib, Sondo, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Styliano, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tama, Sztipits, Tamá, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchi, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistokli, Liakakos, Theodore, Sidiropoulos, Theodoro, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thoma, Diehl, Thoma, Pinkney, Thoma, Raymond, Thoma, Rhomberg, Thoma, Schmitz-Rixen, Thoma, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemacho, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobia, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Jani, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uro, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileio, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasio, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, Balogh, Zsolt J, Smith, A, Mahmoud, Abdelrahman, Tarek, Ahmed, Moro, Alessandro (ORCID:0000-0002-6708-171X), Marra, Angelo Alessandro (ORCID:0000-0001-8384-5081), Ratto, Carlo (ORCID:0000-0002-0556-0037), D'acapito, Fabrizio, Rosa, Fausto (ORCID:0000-0002-7280-8354), Bussu, Francesco (ORCID:0000-0001-6261-2772), Colombo, Francesco, Franceschini, Gianluca (ORCID:0000-0002-2950-3395), Gasparini, Giulio (ORCID:0000-0001-5091-5178), Bianco, Giuseppe (ORCID:0000-0001-7451-4002), Brisinda, Giuseppe (ORCID:0000-0001-8820-9471), Marano, Luigi (ORCID:0000-0002-9833-8055), Fransvea, Pietro (ORCID:0000-0003-4969-3373), and Familiari, Pietro (ORCID:0000-0002-5181-2928)
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
34. 19 Months Toddler with a Giant Oral Capillary Hemangioma, a Case Report
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Kabagenyi,Fiona, Anena,Sandra Petti, Seguya,Amina, Kabagenyi,Fiona, Anena,Sandra Petti, and Seguya,Amina
- Abstract
Fiona Kabagenyi,1 Sandra Petti Anena,1 Amina Seguya2 1Department of Ear Nose and Throat, Makerere University, Kampala, Uganda; 2Department of Ear Nose and Throat, Mulago National Referral Hospital, Kampala, UgandaCorrespondence: Fiona Kabagenyi, Department of Ear Nose and Throat, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda, Tel +256774150102, Email kabagenyiatwooki6@gmail.comAbstract: Head and neck vascular tumors are common in children. Capillary hemangiomas are often easily confused with pyogenic granulomas due to histopathological resemblance. Furthermore, predisposing factors to pyogenic granulomas include an existing hemangioma, which may be co-existing entities. Surgical excision of large unsightly tumors causing functional deficits is a feasible management option. We report a case of a rapidly growing oral lesion in a toddler with feeding difficulties and anemia. It triggered a diagnostic dilemma as it was clinically consistent with a pyogenic granuloma but histologically diagnosed as a capillary hemangioma. It was successfully excised with no recurrence after 6 months.Keywords: hemangioma, pyogenic granuloma, head and neck vascular tumours
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- 2023
35. Chimpanzee Non-Avoidance of Hyper-Proximity to Humans
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BORTOLAMIOL, SARAH, COHEN, MARIANNE, JIGUET, FREDERIC, PENNEC, FLORA, SEGUYA, ANDREW, and KRIEF, SABRINA
- Published
- 2016
36. Review of: "Assessment, Benefits and factors that affect Guidance, Counselling Services in Secondary Schools in Owo Local Government, Ondo State."
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Seguya, Swaib Yarro, primary
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- 2023
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37. Feeding Consequences of Hand and Foot Disability in Wild Adult Chimpanzees (Pan troglodytes schweinfurthii)
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Cibot, Marie, Krief, Sabrina, Philippon, Justine, Couchoud, Pauline, Seguya, Andrew, and Pouydebat, Emmanuelle
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- 2016
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38. Implementing hearing screening among children aged 0-59 months at established immunization clinics in Uganda: A multi-center study
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Christopher Ndoleriire, Kagga Douglas Ssenyonjo, Kabagenyi Fiona, Fred Bisso, Doreen Nakku, Louis Okema, Isaac Mukiibi, Mary Nakafeero, Agnes Nyabigambo, Sedrack Matsiko, and Amina Seguya
- Subjects
Otorhinolaryngology ,Pediatrics, Perinatology and Child Health ,General Medicine - Abstract
The prevalence of childhood hearing loss (HL) is high in low and middle income countries (LMICs), with many of the affected children facing communication delays and poor opportunities for education. Despite the increased advocacy for childhood hearing screening globally, Uganda has no established childhood hearing screening programs. This study set out to introduce hearing screening services by non-specialist health workers at routine immunization clinics among children aged 0-59 months and describe the prevalence and factors associated with failed hearing screening (HS) in these children.A cross-sectional multi-center study was conducted at immunization clinics at three regional referral hospitals (RRHs). A semi structured questionnaire was used to capture data on socio-demographic, clinical factors and the two stage Transient Evoked Oto-acoustic emissions (TEOAEs) screening performed on children aged 0-59 months. A child that failed two stage screening was considered to have failed HS. Logistic regression was used to calculate odds ratios (OR) for factors associated with failed HS.1217 children were recruited at three RRHs, with a median age of 2 months (range: 0 to 59), half were male 52% (n = 633). Overall 45 children failed two staged TEOAE screening giving a prevalence of failed HS of 3.7%, of these 27 (2.2%) and 18 (1.5%) failed unilaterally and bilaterally respectively. Children of rural residence (aOR = 2.18, p = 0.027), of low birth weight (aOR = 0.42, p = 0.045), with relatives having hearing loss (aOR = 4.64, p=0.001), who were admitted in hospital after birth (aOR = 3.72, p = 0.012) and a history of a childhood suppurative otitis media (aOR = 9.53, p = 0.015) all had increased odds of failed HS.The prevalence of failed screening is high. Implementation of childhood hearing screening by non-specialist health workers at immunization clinics using TEOAEs is possible and may be a necessary initial step in starting countrywide hearing screening in Uganda.
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- 2022
39. Female and low‐ and middle‐income authorship trends in high‐impact ENT journals (2011–2020).
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Jashek‐Ahmed, Farizeh, Daudu, Davina, Heer, Baveena, Ali, Hawa, Wiedermann, Joshua, and Seguya, Amina
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AUTHORSHIP ,LOW-income countries ,HIGH-income countries ,MIDDLE-income countries ,MEDICAL literature - Abstract
Introduction: Despite a recent drive to increase diversity, the global academic workforce is skewed in favor of authors from high‐income countries, and women are under‐represented in the published medical literature. Objectives: To explore the trends in authorship of three high‐impact otolaryngology journals over a ten‐year period (2011–2020). Methods: Journals selected: JAMA Otolaryngology–Head and Neck Surgery, The Laryngoscope and Rhinology. Articles were reviewed from four issues per journal per year, and data was collected on: time of publication; subspeciality; number of authors; sex of first and last authors; country of practice of first author and country where each study was conducted. Trends were examined though univariate and multivariate logistic regression models. Results: 2998 articles were included. 93.9% of first authors and 94.2% of studies were from high‐income countries. Women were first authors in 31.5% (n = 912) and senior authors in 18.4% (n = 524) of articles. Female first authorship significantly increased between 2011 and 2020 however female senior authorship remained the same. There have been no significant changes in the proportion of published articles from low‐and middle‐income countries (LMIC) over time (p =.65). Amongst the LMIC articles, 72% came from Brazil, Turkey or China and there were no published papers from countries with a low‐income economy (gross national income per capita of $1085 or less). Conclusions: Although female first authorship has increased in the last decade, there has been minimal other demographic change in authorship over this time. High‐impact otolaryngology journals poorly represent academia in low‐and‐middle income countries. There is a need for increased advocacy promoting gender and geographical research equity in academic medicine. Level of Evidence: III. [ABSTRACT FROM AUTHOR]
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- 2023
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40. Gender Disparities in Otolaryngology: A Case Report Reflecting Global Perspectives.
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Ali, Hawa M., Lee, Stellina Y. H., Jashek‐Ahmed, Farizeh, Seguya, Amina, Faucett, Erynne, Van Beck, Jenna, Stapleton, Emma, Peer, Shazia, Husain, Inna A., Wiedermann, Joshua, and Salano, Valerie
- Abstract
Objectives: To explore the impact of female sex on the experiences of trainees and surgeons in otolaryngology from LMIC and HIC. Methods: This study includes perspectives of five consultants and two resident physicians from the United States, United Kingdom, Uganda, Kenya and South Africa. Results: Six themes emerged from these interviews. Overall, LMIC and HIC women shared similar experiences of microaggressions during patients, working along ancillary staff, related to pregnancy, imposter syndrome, difficulties during job search, and unique barriers as consultant. Conclusions: The findings of this study highlight that gender disparities are present at all levels in Otolaryngology but can present differently depending on context. Laryngoscope, 133:547–551, 2023 [ABSTRACT FROM AUTHOR]
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- 2023
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41. ‘Let them do PE!’ : The ‘becoming’ of Swedish physical education in the age of COVID-19
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Seguya Kamoga and Valeria Varea
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Sweden ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Idrottsvetenskap ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pedagogy ,education ,Pedagogik ,COVID-19 ,Physical Therapy, Sports Therapy and Rehabilitation ,‘becoming’ ,Education ,Physical education ,Geography ,physical education ,Environmental health ,Pandemic ,Orthopedics and Sports Medicine ,Sport and Fitness Sciences - Abstract
Sweden received worldwide attention for its approach to managing the COVID-19 pandemic. Notably, throughout the pandemic, Sweden was one of the few countries that did not implement any lockdown measures. This meant that primary schools remained open and classes proceeded as usual, including the delivery of physical education (PE). This paper explores PE teachers’ perceptions of the effects of the COVID-19 pandemic on Swedish PE. Data were collected through semi-structured interviews with seven PE teachers. Results suggest that teaching PE during COVID-19 has led to disparate challenges and changes for teachers, including modifications in context, content, roles and responsibilities, as well as the handling of issues concerning physical contact and proximity among students and teachers. The conclusions of this study reveal that in the midst of the COVID-19 pandemic, the parameters of PE in Sweden are changing more rapidly now than ever before. Understanding how the pandemic has impacted the subject of PE and its delivery might create opportunities for further discussions, possible solutions and subsequent necessary adjustments in dealing with the ongoing COVID-19 situation.
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- 2022
42. Possible Interruption of Measles Virus Transmission, Uganda, 2006–2009
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Frederick N. Baliraine, Josephine Bwogi, Henry Bukenya, Ronald Seguya, Theopista Kabaliisa, Annet Kisakye, William B. Mbabazi, and Sheilagh B. Smit
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viruses ,measles ,interruption ,genotype B3.1 ,Uganda ,dispatch ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
To determine what measles virus genotype(s) circulated in Uganda after strategic interventions aimed at controlling/eliminating measles, we examined samples obtained during 2006–2009 and found only genotype B3.1, which had not been previously detected. Kenya was the likely source, but other countries cannot be excluded.
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- 2011
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43. Chlorhexidine Versus Organoselenium for Inhibition of S.Mutans Biofilm, an Invitro Study
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Mohamed Mowafy, Abdul Seguya, Abbas R. Zaher, and Ahmed Gaballah
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stomatognathic diseases ,Chemistry ,Chlorhexidine ,medicine ,Biofilm ,In vitro ,Microbiology ,medicine.drug - Abstract
Background: White Spot Lesions are a common misharp during fixed orthodontic appliance therapy which creates the need for non-compliance based prevention methods. S.mutans is considered the main etiologic factor for caries. This was an in vitro study to compare between the efficacy of chlorohexidine diaceteate varnish, and an organoselenium sealant, to prevent S.mutans biofilm formation on human teeth. Methods: Fourty five premolars extracted for orthodontic purposes were randomly divided into 3 groups of 15 teeth each. One control group and two test groups, chlorohexidine diaceteate varnish and an organoselenium sealant. The teeth were autoclaved before S. mutans biofilm was induced on to each in their respective groups. The reading T1 was taken for each tooth to assess the number of S.mutans attached in order to compare for differences in surface area among the 3 groups. The respective test materials were applied onto the teeth and biofilm induced onto them in their respective groups. The reading T2 was taken for the 2 test groups .The 3 groups were then subjected to aging for a period equivalent to 5 months before the biofilm was induced to take the reading T3 for the number of S.mutans. We used vortexing of the teeth to disrupt the biofilm at time points T1, T2 and T3. S. mutans count was then done using PCR.Results: There were significantly lower S. mutans counts in the control group as compared to the chlorhexidine diacetate group at T3.There were no other statistically significant differences found.Conclusion. Both organoselenium and Chlorhexidine diacetate do not inhibit S.mutans biofilm attachment onto the teeth.
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- 2021
44. Le voisinage entre hommes, forêt et les chimpanzés : point de vue depuis le territoire des villageois, à l’extérieur du Parc National de Kibale
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Sarah Bortolamiol, Marianne Cohen, Andrew Seguya, Richard Dumez, and Sabrina Krief
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chimpanzés ,entretiens ,gestion de la biodiversité ,Ouganda ,populations locales ,SIG ,Science ,Zoology ,QL1-991 - Abstract
Les politiques de conservation, dans leur conception traditionnelle voire spirituelle d’une nature sauvage coupée et préservée du monde des hommes créent parfois des disjonctions spatiales entre les éléments « naturels » et les éléments anthropisés. Après le constat d’échec des politiques autoritaires de protection de la nature, plusieurs conférences internationales, en reconnaissant leurs savoirs traditionnels, ont mis l’accent sur la nécessité d’associer les populations humaines à la conservation des espaces naturels et des espèces sauvages. Notre objectif est d’étudier cette stratégie, à travers le concept géographique de territoire, comme système complexe dont la dynamique résulte de boucles de rétroaction qui lient un ensemble d’acteurs et l’espace géographique qu’ils utilisent, aménagent et gèrent en fonction de leurs représentations, passées, présentes et projetées. La zone d’étude de Sebitoli, située à l’extrémité nord du parc national de Kibale (Ouganda) est circonscrite dans une poche de forêt de 25 km² où une communauté de chimpanzés est en cours d’habituation depuis 2008 par l’équipe du Sebitoli Chimpanzee Project (SCP). Autour du territoire des chimpanzés, les territoires des hommes - dont la densité peut atteindre 335 habitants/km² - encerclent la forêt. Les hommes, interdits de pénétrer en forêt par une législation stricte, prélèvent pourtant certaines de ses ressources. Les animaux sauvages, dont les chimpanzés, vont occasionnellement piller les ressources agricoles des hommes. Chaque espèce sort donc de son territoire habituel pour s’introduire dans celui de l’autre, ce qui engendre des superpositions pouvant occasionner des conflits. Nous nous sommes intéressés aux usages et pratiques de 31 villageois dans trois territoires agricoles (Sebitoli, Nyakabingo, Kihingami) entre novembre 2012 et janvier 2013. Nous avons combiné des entretiens semi-directifs et des observations participantes (N = 42 villageois et agriculteurs, gestionnaires, employés des usines de thé) avec des relevés floristiques en lisière de forêt (N = 8 transects soit 32 relevés situés entre 0 et 150 mètres de part et d’autre de la lisière de la forêt – janvier à avril 2013) dans un Système d’Information Géographique (SIG) pour spatialiser les rapports entre les hommes que nous avons interrogés et les chimpanzés que nous étudions. Ce travail permet d’identifier des lieux de rencontre entre les acteurs de notre zone d’étude (champs, bord de route, lisière de la forêt). Une ethnoécologie géographique de la rencontre entre les hommes et les chimpanzés permet de montrer la diversité des connaissances des 31 villageois que nous avons interrogés et de les valoriser. La description de particularités physiques (animal sans queue, qui ressemble à l’homme) et comportementales (peur de l’homme, protection des dépendants) ou de la temporalité de rencontre (la nuit, moins fréquent que par le passé) témoignent de la curiosité des hommes pour les chimpanzés et permet de montrer que la frontière entre leurs territoires est relativement poreuse. La confrontation des discours des villageois et des gestionnaires de la biodiversité dégage une vision complexe de la gestion de la faune sauvage ou certaines espèces peuvent être « remarquables » ou « ordinaires » en fonction de territoires qui ne sont ni perçus, ni vécus de la même manière par leurs différents utilisateurs. Mieux comprendre le discours de chacun fait partie d’une démarche plus éthique de la recherche scientifique.
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- 2015
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45. Dysplasie faciale chez les chimpanzés sauvages de Sebitoli, parc national de Kibale, Ouganda : approches éthologiques, ethnographiques et agronomiques
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Régine Gross, Francis Gumisiriza, Bernard T Kiremire, Andrew Seguya, and Sabrina Krief
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dysplasie faciale ,intrants chimiques ,malformation congénitale ,Ouganda ,Pan troglodytes schweinfurthii ,Parc national de Kibale ,Science ,Zoology ,QL1-991 - Abstract
Près de 10 % des 80 chimpanzés composant la communauté de chimpanzés sauvages (Pan troglodytes schweinfurthii) de Sebitoli, dans le parc national de Kibale en Ouganda, présentent des phénotypes faciaux singuliers. L'étiologie de cette malformation est inconnue mais des études menées sur des groupes de macaques au Japon et à Hong Kong sévèrement affectés par des anomalies des membres (jusqu'à 17 % des individus dans les groupes de macaques approvisionnés en nourriture potentiellement contaminée par des pesticides) suspectent une origine congénitale liée aux agents tératogènes contenus dans les pesticides. Une étude a donc été menée du 06/03/14 au 15/05/14 afin de mieux connaître les conséquences physiologiques d'une telle malformation chez les chimpanzés de Sebitoli et leur exposition aux pesticides utilisés autour de la zone du parc. Des observations de type ''focal sampling'' d'une et dix minutes ainsi que des observations de type ''scan sampling'' toutes les minutes ont été effectuées sur les chimpanzés sauvages (27 individus dont 8 atteints de dysplasie faciale) en cours d'habituation par le « Sebitoli Chimpanzee Project » dirigée par S. Krief. Afin de tester l'hypothèse d'une origine de la malformation liée à la pollution environnementale, des entretiens ont été effectués auprès d'agriculteurs cultivant du maïs et/ou du thé à la bordure du parc. Comme les chimpanzés pillent le maïs et pratiquent la géophagie, 123 échantillons de sol, sédiment et de maïs ont été récoltés dans le but de mesurer les résidus de produits chimiques. Les travaux ethnographiques et agronomiques ont été effectués en collaboration avec l’équipe du département de chimie de l'université de Makerere (Kampala, Ouganda). Les observations conduites sur les chimpanzés ont permis de mettre en évidence un gêne respiratoire associée à la dysplasie faciale observée : les individus à dysplasie faciale ouvrent plus souvent la bouche que les individus normaux lors des activités de repos, de déplacement et d'alimentation, et leur rythme d’ingestion d’aliments sauvages (Ficus dawei) est également plus lent. Les entretiens ont révélé que l'usage local de produits chimiques était principalement freiné par leurs coûts élevés, y compris pour les petites exploitations de thé. Cependant, la culture de thé consomme une quantité importante d'herbicides et de fertilisants, ce qui entraîne probablement une pollution environnementale sur le long terme. Au total, cinq produits chimiques ont été désignés candidats pour une cause toxique intra-utérine de la malformation faciale des chimpanzés. Mais excepté le mancozeb qui ne semble pas avoir d'effets tératogènes, il est impossible de cibler plus précisément un intrant chimique parmi ceux utilisés régulièrement à savoir : un fertilisant (le NPK), un insectide (la cypermethrine) et deux herbicides (le 2,4-D et le glyphosate). Les analyses en cours des échantillons de sol, sédiments et maïs récoltés permettront d'évaluer l'exposition réelle des chimpanzés aux pesticides et plus largement, l'exposition de la population humaine et de la faune et flore du parc national.
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- 2015
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46. Nodular Worm Infections in Wild Non-human Primates and Humans Living in the Sebitoli Area (Kibale National Park, Uganda): Do High Spatial Proximity Favor Zoonotic Transmission?
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Marie Cibot, Jacques Guillot, Sophie Lafosse, Céline Bon, Andrew Seguya, and Sabrina Krief
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Arctic medicine. Tropical medicine ,RC955-962 ,Public aspects of medicine ,RA1-1270 - Abstract
BACKGROUND:Nodular Oesophagostomum genus nematodes are a major public health concern in some African regions because they can be lethal to humans. Their relatively high prevalence in people has been described in Uganda recently. While non-human primates also harbor Oesophagostomum spp., the epidemiology of this oesophagostomosis and the role of these animals as reservoirs of the infection in Eastern Africa are not yet well documented. METHODOLOGY/PRINCIPAL FINDINGS:The present study aimed to investigate Oesophagostomum infection in terms of parasite species diversity, prevalence and load in three non-human primates (Pan troglodytes, Papio anubis, Colobus guereza) and humans living in close proximity in a forested area of Sebitoli, Kibale National Park (KNP), Uganda. The molecular phylogenetic analyses provided the first evidence that humans living in the Sebitoli area harbored O. stephanostomum, a common species in free-ranging chimpanzees. Chimpanzees were also infected by O. bifurcum, a common species described in human populations throughout Africa. The recently described Oesophagostomum sp. found in colobine monkeys and humans and which was absent from baboons in the neighboring site of Kanyawara in KNP (10 km from Sebitoli), was only found in baboons. Microscopic analyses revealed that the infection prevalence and parasite load in chimpanzees were significantly lower in Kanyawara than in Sebitoli, an area more impacted by human activities at its borders. CONCLUSIONS/SIGNIFICANCE:Three different Oesophagostomum species circulate in humans and non-human primates in the Sebitoli area and our results confirm the presence of a new genotype of Oesophagostomum recently described in Uganda. The high spatiotemporal overlap between humans and chimpanzees in the studied area coupled with the high infection prevalence among chimpanzees represent factors that could increase the risk of transmission for O. stephanostomum between the two primate species. Finally, the importance of local-scale research for zoonosis risk management is important because environmental disturbance and species contact can differ, leading to different parasitological profiles between sites that are close together within the same forest patches.
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- 2015
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47. Endangered mountain gorillas and COVID‐19: One health lessons for prevention and preparedness during a global pandemic
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Eddy Kambale Syaluha, Kirsten V. K. Gilardi, Anna Behm Masozera, Robert Aruho, Chantal Shalukoma, Benard Ssebide, Richard Muvunyi, Andrew Seguya, and Julius Nziza
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medicine.medical_specialty ,Endangered species ,Mountain gorilla ,Gorilla ,biology.animal ,Pandemic ,medicine ,Animals ,Humans ,One Health ,Socioeconomics ,Pandemics ,Ecology, Evolution, Behavior and Systematics ,Gorilla gorilla ,biology ,Public health ,COVID-19 ,Hominidae ,fictional_universe ,fictional_universe.character_species ,Ape Diseases ,Geography ,Preparedness ,Viruses ,Animal Science and Zoology ,human activities ,Tourism - Abstract
The world's 1063 mountain gorillas (Gorilla beringei beringei) live in two subpopulations at the borders of the Democratic Republic of Congo, Rwanda, and Uganda. The majority of mountain gorillas are human-habituated to facilitate tourism and research, which brings mountain gorillas into close proximity of people daily. Wild great apes are proven to be susceptible to human pathogens, including viruses that have caused fatal respiratory disease in mountain gorillas (e.g., human metapneumovirus1 ). This is the result of the close genetic relatedness of humans and gorillas as species, and the structural and genetic similarity in molecular receptors that allow viruses to infect cells2 . At the time of writing, there is no evidence that severe acute respiratory syndrome coronavirus 2, the coronavirus that causes coronavirus disease 19 (COVID-19), has infected a mountain gorilla. However, due to the significant potential for human-to-gorilla transmission, mountain gorilla range States took immediate steps to minimize the COVID-19 threat. These actions included a combination of preventive practice around gorillas and other great apes (e.g., mandatory face mask use, increased "social" minimum distancing from gorillas) as well as human public health measures (e.g., daily health/fever screenings, COVID-19 screening, and quarantines). Minimization of the COVID-19 threat also required socioeconomic decision-making and political will, as all gorilla tourism was suspended by late March 2020 and guidelines developed for tourism reopening. A consortium that collaborates and coordinates on mountain gorilla management and conservation, working within an intergovernmental institutional framework, took a multifaceted One Health approach to address the COVID-19 threat to mountain gorillas by developing a phased contingency plan for prevention and response. The aim of this paper is to describe how range States and partners achieved this collaborative planning effort, with intent that this real-world experience will inform similar actions at other great ape sites.
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- 2021
48. Feasibility of establishing an infant hearing screening program and measuring hearing loss among infants at a regional referral hospital in south western Uganda
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Elijah Kakande, Francis Bajunirwe, Amina Seguya, and Doreen Nakku
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Male ,Pediatrics ,Epidemiology ,medicine.medical_treatment ,Otology ,Deafness ,Geographical Locations ,Families ,0302 clinical medicine ,Hearing ,Oxygen therapy ,Medicine and Health Sciences ,Uganda ,Stage (cooking) ,030223 otorhinolaryngology ,Children ,Hearing Disorders ,Multidisciplinary ,Hearing Tests ,Audiology ,Chemistry ,Physical Sciences ,Medicine ,Engineering and Technology ,Female ,medicine.symptom ,Anatomy ,Infants ,Research Article ,Biotechnology ,Chemical Elements ,medicine.medical_specialty ,Referral ,Hearing loss ,Science ,Developing country ,Bioengineering ,Hearing screening ,03 medical and health sciences ,Neonatal Screening ,030225 pediatrics ,medicine ,Evoked Potentials, Auditory, Brain Stem ,Pilot program ,Humans ,Hearing Loss ,Special care unit ,business.industry ,Infant, Newborn ,Biology and Life Sciences ,Infant ,Oxygen ,Early Diagnosis ,Otorhinolaryngology ,Age Groups ,Ears ,Medical Risk Factors ,People and Places ,Africa ,Feasibility Studies ,Population Groupings ,Medical Devices and Equipment ,business ,Head - Abstract
IntroductionDespite the high burden of hearing loss (HL) globaly, most countries in resource limited settings lack infant hearing screening programs(IHS) for early HL detection. We examined the feasibility of establishing an IHS program in this setting, and in this pilot program measured the prevalence of infant hearing loss (IHL) and described the characteristics of the infants with HL.MethodsWe assessed feasibility of establishing an IHS program at a regional referral hospital in south-western Uganda. We recruited infants aged 1 day to 3 months and performed a three-staged screening. At stage 1, we used Transient Evoked Oto-acoustic Emissions (TEOAEs), at stage 2 we repeated TEOAEs for infants who failed TEOAEs at stage 1 and at stage 3, we conducted Automated brainstem responses(ABRs) for those who failed stage 2. IHL was present if they failed an ABR at 35dBHL.ResultsWe screened 401 infants, mean age was 7.2 days (SD = 7.1). 74.6% (299 of 401) passed stage 1, the rest (25.4% or 102 of 401) were referred for stage 2. Of those referred (n = 102), only 34.3% (35 of 102) returned for stage 2 screening. About 14.3% (5/35) failed the repeat TEOAEs in at least one ear. At stage 3, 80% (4 of 5) failed the ABR screening in at least one ear, while 25% (n = 1) failed the test bilaterally. Among the 334 infants that completed the staged screening, the prevalence of IHL was 4/334 or 12 per 1000. Risk factors to IHL were Newborn Special Care Unit (NSCU) admission, gentamycin or oxygen therapy and prematurity.ConclusionsIHS program establishment in a resource limited setting is feasible. Preliminary data indicate a high prevalence of IHL. Targeted screening of infants at high risk may be a more realistic and sustainable initial step towards establishing IHS program s in a developing country like Uganda.
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- 2021
49. Chlorhexidine Versus Organoselenium for Inhibition of S.Mutans Biofilm, an Invitro Study
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Seguya, Abdul, primary, Mowafy, Mohamed, additional, Gaballah, Ahmed, additional, and Zaher, Abbas, additional
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- 2021
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50. Disponibilité spatiale et temporelle des espèces alimentaires des chimpanzés et variations de densité inter-communautés dans le Parc national de Kibale (Ouganda)
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Sarah Bortolamiol, Marianne Cohen, Protase Rwaburindore, John Kasenene, Andrew Seguya, Flora Pennec, Quentin Vignaud, and Sabrina Krief
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chimpanzé ,disponibilité alimentaire ,Ouganda ,Parc national de Kibale ,phénologie ,pression anthropique ,Science ,Zoology ,QL1-991 - Abstract
Les grands singes font face au récent déclin des conditions environnementales favorables à leur distribution. Parmi eux, notre plus proche parent, le chimpanzé est menacé (classé « en danger » sur la liste rouge de l’IUCN). La densité des chimpanzés (Pan troglodytes schweinfurthii) dans le parc national de Kibale dans l’Ouest de l’Ouganda diffère selon les communautés (1,5 à 5,1 chimpanzés/km2 respectivement à Kanyawara et Ngogo) qui sont pourtant géographiquement proches les unes des autres (N=3 communautés distantes de 9 à 17 km). Les activités anthropiques à l’intérieur de l’aire protégée (exploitation commerciale du bois dans les années 1970, route à fort trafic, essences exotiques, braconnage) et à l’extérieur de ses limites (jardins vivriers, cultures de thé) peuvent avoir un impact sur la quantité et la distribution des ressources alimentaires des chimpanzés et indirectement sur leur répartition spatiale dans le parc. Des variations des choix alimentaires des chimpanzés, en relation avec la disponibilité spatiale et temporelle de ces ressources a récemment été mises en évidence entre Kanyawara et Ngogo. Notre étude a été menée à Sebitoli (extrémité nord du parc) où la pression anthropique passée et présente est très forte. Après 4 ans d’habituation, la densité est estimée à 4,4 chimpanzés/km² sur un domaine vital de 22 km². Afin de comprendre les facteurs expliquant cette forte densité, nous avons évalué la disponibilité spatiale des ressources alimentaires par un recensement de la végétation herbacée et ligneuse dans 63 parcelles totalisant 22 hectares. La disponibilité temporelle des ressources alimentaires a été évaluée par l’analyse de 18 mois d’observations phénologiques (456 arbres sur 5 km de transects). La zone d’étude de Sebitoli ayant été particulièrement touchée par l’exploitation commerciale du bois, 36 % de la forêt sont actuellement en cours de régénération. La surface terrière des arbres fruitiers alimentaires consommés par les chimpanzés est moins importante à Kanyawara et Sebitoli qu’à Ngogo (zone du parc non exploitée commercialement par le passé). Cette étude montre que les surfaces terrières des espèces du genre Ficus, particulièrement appréciées par les chimpanzés, sont généralement plus importantes à Sebitoli qu’à Kanyawara et Ngogo. Bien que les variations temporelles de la fructification des espèces alimentaires de la communauté de chimpanzés de Sebitoli diffèrent des deux autres sites d’étude (rôle des activités anthropiques passées et présentes), elles sont sensiblement plus similaires de celles de Kanyawara que de Ngogo. Les interactions spatiales entre les éléments anthropiques et les animaux sauvages, le maintien d’espaces de surface suffisante pour assurer les migrations entre les communautés ainsi que d’autres variables environnementales sont des facteurs non mis en évidence ici qui ont rôle dans la conservation et la distribution des chimpanzés.
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- 2014
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