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  1. 16301
  2. 16302
    “…BACKGROUND: South Korea is among the best-performing countries in tackling the coronavirus pandemic by using mass drive-through testing, face mask use, and extensive social distancing. …”
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  3. 16303
    “…OBJECTIVES: COVID-19 pandemic affected majority of students worldwide because school closures were one of the first and frequently taken measures in tackling epidemic. This study analyzed trends in COVID-19 morbidity and mortality from the beginning of pandemic in Croatia, in relation to schools opening and closing. …”
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  4. 16304
    “…The influence of elevated air temperatures recorded in various urban microenvironments in adversely impacting biologically relevant disease end points has not yet been extensively tackled. This study is a post hoc analysis of the TEMP pilot trial, a randomized 2 × 2 cross-over trial that examined changes in metabolic and stress hormonal profiles of healthy adults in two settings (urban vs. rural) with distinctly different climatological characteristics during the Mediterranean summer. …”
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  5. 16305
    “…Policies and promotion of SOC, together with disseminating health information that explicitly tackles the infodemic’s misinformation and disinformation, may importantly reduce the rising mental health morbidity and mortality triggered by this pandemic.…”
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  6. 16306
    por Xie, Yan, Xu, Evan, Al-Aly, Ziyad
    Publicado 2022
    “…CONCLUSIONS: The findings suggest that people who survive the acute phase of covid-19 are at increased risk of an array of incident mental health disorders. Tackling mental health disorders among survivors of covid-19 should be a priority.…”
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  7. 16307
    “…In conclusion, our prospective data confirm that low VD levels are widely found in hospitalized COVID-19 patients compared to control subjects and predict increased disease severity independently from age, sex and comorbidities of patients affected. We suggest that tackling VD deficiency may be an effective preventive measure to prevent severe COVID-19. …”
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  8. 16308
    por Kanaan, Mona, Mdege, Noreen Dadirai, Keding, Ada, Parker, RA, Mills, N., Shah, A., Strachan, F., Keerie, C., Weir, C. J., Forbes, Andrew, Hemming, Karla, Lawton, Sarah A., Healey, Emma, Lewis, Martyn, Nicholls, Elaine, Jinks, Clare, Tan, Valerie, Finney, Andrew, Mallen, Christian D., Lenguerrand, Erik, MacLennan, Graeme, Norrie, John, Bhattacharya, Siladitya, Draycott, Tim, Hooper, Richard, Teerenstra, Steven, de Hoop, Esther, Eldridge, Sandra, Girling, Alan, Taljaard, Monica, Di Tanna, Gian Luca, Gasparrini, Antonio, Casula, Anna, Caskey, Fergus, Lenguerrand, Erik, Methven, Shona, MacNeill, Stephanie, May, Margaret, Selby, Nicholas, Danon, Leon, Christensen, Hannah, Finn, Adam, May, Margaret, Takanashi, Fumihito, Keding, Ada, Crouch, Simon, Kanaan, Mona, Kristunas, Caroline A., Smith, Karen L., Gray, Laura J., Matthews, John N.S., Salman, R. Al-Shahi, Parker, R. A., Maxwell, A., Dennis, M., Rudd, A., Weir, C. J., Thompson, Jennifer A., Fielding, Katherine L., Davey, Calum, Aiken, Alexander M., Hargreaves, James R., Hayes, Richard J., Lyons, Vivian H., Li, Lingyu, Hughes, James, Rowhani-Rahbar, Ali, Hemming, Karla, Taljaard, Monica, Forbes, Andrew
    Publicado 2016
    “…I1 Introduction Mona Kanaan, Noreen Dadirai Mdege, Ada Keding O1 The HiSTORIC trial: a hybrid before-and-after and stepped wedge design RA Parker, N Mills, A Shah, F Strachan, C Keerie, CJ Weir O2 Stepped wedge trials with non-uniform correlation structure Andrew Forbes, Karla Hemming O3 Challenges and solutions for the operationalisation of the ENHANCE study: a pilot stepped wedge trial within a general practice setting Sarah A Lawton, Emma Healey, Martyn Lewis, Elaine Nicholls, Clare Jinks, Valerie Tan, Andrew Finney, Christian D Mallen, on behalf of the ENHANCE Study Team O4 Early lessons from the implementation of a stepped wedge trial design investigating the effectiveness of a training intervention in busy health care settings: the Thistle study Erik Lenguerrand, Graeme MacLennan, John Norrie, Siladitya Bhattacharya, Tim Draycott, on behalf of the Thistle group O5 Sample size calculation for longitudinal cluster randomised trials: a unified framework for closed cohort and repeated cross-section designs Richard Hooper, Steven Teerenstra, Esther de Hoop, Sandra Eldridge O6 Restricted randomisation schemes for stepped-wedge studies with a cluster-level covariate Alan Girling, Monica Taljaard O7 A flexible modelling of the time trend for the analysis of stepped wedge trials: results of a simulation study Gian Luca Di Tanna, Antonio Gasparrini P1 Tackling acute kidney injury – a UK stepped wedge clinical trial of hospital-level quality improvement interventions Anna Casula, Fergus Caskey, Erik Lenguerrand, Shona Methven, Stephanie MacNeill, Margaret May, Nicholas Selby P2 Sample size considerations for quantifying secondary bacterial transmission in a stepped wedge trial of influenza vaccine Leon Danon, Hannah Christensen, Adam Finn, Margaret May P3 Sample size calculation for time-to-event data in stepped wedge cluster randomised trials Fumihito Takanashi, Ada Keding, Simon Crouch, Mona Kanaan P4 Sample size calculations for stepped-wedge cluster randomised trials with unequal cluster sizes Caroline A. …”
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  9. 16309
    “…Although significantly greater (P <.05) incidences of concussion were documented across offensive teams [4.3, (95% CI, 3.8- 4.8) vs 3.3 (2.9-3.8)], quarterbacks [0.9, (95% CI, 0.6-1.2) vs 0.3 (0.2-0.6)], and players tackled above the waist [2.8, (95% CI, 2.4-3.3) vs 1.7 (1.4-2.1)] than observed across other teams and injury mechanisms while wearing dentist-fitted as compared to self-fitted mouthguards, respectively. …”
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  10. 16310
  11. 16311
  12. 16312
  13. 16313
    “…Are our investigators tackling research problems that our stakeholders, patients, and communities want and need, to make sure that our investments in science have real-world impact? …”
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  14. 16314
    “…Participants additionally spoke of difficulties in the delivery of mental health services and linked this to the design of the health system itself, noting the current system being geared towards patient centered care, which focuses on the patient’s experiences with a disease only, rather than person focused care where providers and patients acknowledge broader structural and social influences on health and work together to reach appropriate decisions for tackling health and other social needs. Barriers to delivery of person focused care include the lack of coherent mental health information systems, limited human capacity to deliver MHPSS services among primary health care staff and inadequate service integration and coordination among the many providers of mental health services in our study contexts. …”
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  15. 16315
    “…CONCLUSIONS: Unhealthy lifestyles mediated a small proportion of the socioeconomic inequity in health in both US and UK adults; therefore, healthy lifestyle promotion alone might not substantially reduce the socioeconomic inequity in health, and other measures tackling social determinants of health are warranted. …”
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  16. 16316
    “…BACKGROUND: Innovative coronavirus disease 2019 (COVID-19) vaccines, with elevated global manufacturing capacity, enhanced safety and efficacy, simplified dosing regimens, and distribution that is less cold chain-dependent, are still global imperatives for tackling the ongoing pandemic. A previous phase I trial indicated that the recombinant COVID-19 vaccine (V-01), which contains a fusion protein (IFN-PADRE-RBD-Fc dimer) as its antigen, is safe and well tolerated, capable of inducing rapid and robust immune responses, and warranted further testing in additional clinical trials. …”
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  17. 16317
    “…We outline challenges and opportunities for tackling non-adherence, which begins with understanding patients’ views of medicines to help them make informed decisions about appropriate use. …”
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  18. 16318
    “…In sub-Saharan African countries including Burundi, MDR-TB coexists with high burden of other communicable and non-communicable diseases, creating a complex public health situation which is difficult to address. Tackling this will require targeted public health intervention based on evidence which well defines the at-risk population. …”
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  19. 16319
    “…These can be effectively tackled via deep learning (DL) methods. However, trustworthy, and generalizable DL models commonly require well-curated, heterogeneous, and large datasets from multiple clinical centers. …”
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  20. 16320
    “…However, the scanty evidence on DR-TB contributing factors could affect the level of this deadly case tackling program. Therefore, this study aimed to assess the factors affecting sputum smear conversion and treatment outcomes among patients with DR-TB in Health facilities in Eastern Ethiopia. …”
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