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Mueller, Mark, Sharma, Minakshi, Maus, Jeff, Ran, Taiqi, Sabaliauskas, Kelly, Xu, Jielan, Yang, Sabrena, Young, Michael, Toronto Public Health Web Services, Team, Sharma, Minakshi, Cheyne, Jill, Cheyne, Jill, Corallo, Ashley, Bianco, Tracey Dal, Dearing-Vollett, Julia, Liddy, Ann, Pacht, Chloe, Ran, Taiqi, Seto, Marisa, Toronto Public Health Web Services, Team, Young, Michael, Faulkner, Amy, Sharma, Minakshi, Aulicino, Maria, Pach, Beata, McArthur, Allison, Kapetanos, Domna, Skinner, Hannah, Harker, Lindsay, Massarella, Susan, Osborne, Zack, Myers, Michael, Kishibe, Teruko, Thorne, Lydia, Bartlett, Joan C.; Bowen-Ziecheck, Aaron, Tsatas, Sofie, Boruff, Jill T.; Rod, Alisa B.; Bradley-Ridout, Glyneva, Nekolaichuk, Erica, Springall, Elena, Mierzwinski-Urban, Monika, Kaunelis, David, Ford, Caitlyn, Phinney, Jackie, Parker, Robin, Walter, Melissa, Horton, Jennifer, Hodgson, Amanda, Phinney, Jackie, Rothfus, Melissa, Helwig, Melissa, Hancock, Kristy, Pepper, Catherine, Halling, T. Derek, Epworth, Alissa, Nault, Caleb, Paladines, Melissa, Reansbury, Micheal, Serban, Raluca, Kennedy, Megan, Kung, Janice, Serban, Raluca, Nault, Caleb, Anderson, Melanie, Parker, Robin, Tippett, Marisa, Goodman, Maren, Stanley, Meagan, Isard, Roxanne, Sich, Christy, Horoky, Denise, Marson, Alanna, O’Reily, Shannon, Demaine, Jeffrey, Taylor, Mike, Truax, Morgan, Ross-White, Amanda, Wilson, Rosemary, Beck, Charlotte, Fischer, Meredith, Fournier, Karine, Sikora, Lindsey, Martyniuk, Julia, Iro, Chidiebere Michael, Bartlett, Joan C.; Hagerman, Leah, Clark, Emily, Neil-Sztramko, Sarah, Colangeli, Taylor, Dobbins, Maureen, George, Chloe, Leonard, Ashley Jane, Blanchard, Jeanette, Miller, Alanna, Read, Kristin, Husson, Heather, Dobbins, Maureen, Cunningham, Heather, Slaght, Graeme, Wall, Margaret, Premji, Zahra, Hayden, K. Alix, Amar-Zifkin, Alexandre, Quaiattini, Andrea, Winther, Connie, Hamonic, Laura, Dennett, Liz, Campbell, Sandy, Winther, Connie, Campbell, Sandy, Tocock, Adam, Gorring, Helene, Campbell, Alanna, Thormodson, Kelly, Cisney, Lori, Hoover, Benjamin, Kennedy, Megan, Thompson, Janice, Paladines, Melissa, Mann, Anna, Creaser, Julie, Bradley-Ridout, Glyneva, Mitchell, Mikaela, Wu, Jiewen, Nevison, Maggie, Zhang, Xiaoqian, Bartlett, Joan, Winther, Connie, Zvyagintseva, Lydia, Kung, Janice, Zych, Maria Maddalena, Malik, Usman, Boden, Catherine, Horton, Jennifer.
The journal of the Canadian Health Libraries Association ; 43(2):68-91, 2022.
Article in English | EuropePMC | ID: covidwho-1989839

ABSTRACT

This workshop will provide health science librarians and information professionals at any level/context with an overview of the best practices in finding and identifying the best scientific evidence during novel public health emergencies. Attendees will be presented with an overview of a best practices statement developed by the Librarian Reserve Corps. Attendees will then apply the recommendations from the best practices statement in designing a plan to respond to real-life case study/information request during a public health emergency. A discussion period will follow on how to apply the best practices in other contexts, environments, and cultures. Attendees will also be invited to share their own experiences and best practices during the discussion session. Through hands-on learning and discussion, librarians and information professionals at any level/context will develop strategies to find and critically appraise the best evidence in any novel public health emergency situation. Introduction: To inform the design of a consumer health strategy for a provincial health library system, the library sought to understand patient challenges and barriers in accessing quality sources of health information. Description: Over a period of three months in the winter of 2020-2021, the library engaged in semi-structured interviews with relevant clinical and corporate stakeholders. Program leads were asked about their role in consumer health information provision and support, and where they saw gaps and opportunities within the organization. Answers were themed and analyzed, and an internal report was produced to guide next steps in developing a consumer health strategy. Outcomes: The environmental scan showed that there are clear challenges and barriers for patients in accessing quality health information. Barriers include the duration of interaction with a healthcare practitioner;the specificity of patient information needs;and the organizational emphasis on a single enterprise-wide patient information resource. More significant challenges include language;lack of health information literacy skills;and low digital literacy among certain populations. Discussion: The environmental scan results provided strong rationale for developing a cohesive consumer health strategy for the library. They highlighted valuable but disjointed resources and programs throughout the organization. A Consumer Health Framework was drafted to guide the library in setting achievable goals and leveraging existing supports. Due to the Covid-19 pandemic it was not possible to engage directly with patients for the initial scan, however consultation with patient advisory groups is now being planned to check and validate the library’s direction.

2.
PLoS Comput Biol ; 17(10): e1009360, 2021 10.
Article in English | MEDLINE | ID: covidwho-1496326

ABSTRACT

The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world's most vulnerable populations most affected. Given their density and available infrastructure, refugee and internally displaced person (IDP) settlements can be particularly susceptible to disease spread. In this paper we present an agent-based modeling approach to simulating the spread of disease in refugee and IDP settlements under various non-pharmaceutical intervention strategies. The model, based on the June open-source framework, is informed by data on geography, demographics, comorbidities, physical infrastructure and other parameters obtained from real-world observations and previous literature. The development and testing of this approach focuses on the Cox's Bazar refugee settlement in Bangladesh, although our model is designed to be generalizable to other informal settings. Our findings suggest the encouraging self-isolation at home of mild to severe symptomatic patients, as opposed to the isolation of all positive cases in purpose-built isolation and treatment centers, does not increase the risk of secondary infection meaning the centers can be used to provide hospital support to the most intense cases of COVID-19. Secondly we find that mask wearing in all indoor communal areas can be effective at dampening viral spread, even with low mask efficacy and compliance rates. Finally, we model the effects of reopening learning centers in the settlement under various mitigation strategies. For example, a combination of mask wearing in the classroom, halving attendance regularity to enable physical distancing, and better ventilation can almost completely mitigate the increased risk of infection which keeping the learning centers open may cause. These modeling efforts are being incorporated into decision making processes to inform future planning, and further exercises should be carried out in similar geographies to help protect those most vulnerable.


Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Epidemics , Refugees , SARS-CoV-2 , Bangladesh/epidemiology , COVID-19/prevention & control , Comorbidity , Computational Biology , Computer Simulation , Data Visualization , Disease Progression , Humans , Masks , Physical Distancing , Refugees/statistics & numerical data , Schools , Systems Analysis
3.
Med Ref Serv Q ; 39(4): 406-410, 2020.
Article in English | MEDLINE | ID: covidwho-883006

ABSTRACT

Collaboration between several College of Medicine departments, including the library, resulted in a creation of a new service for faculty during the COVID-19 pandemic crisis. By combining efforts, support for teaching online became a united effort and much less daunting for faculty, who could consult one group for online teaching support, rather than three or four different entities. The resulting endeavor led to a website FAQ and consulting email address that is accessible to all faculty to provide focused and timely technology and education assistance to faculty.


Subject(s)
Computer-Assisted Instruction/methods , Coronavirus Infections , Education, Distance/organization & administration , Educational Technology/organization & administration , Faculty, Medical/education , Libraries, Medical/organization & administration , Pandemics , Pneumonia, Viral , Schools, Medical/organization & administration , Adult , Betacoronavirus , COVID-19 , Curriculum , Female , Humans , Male , Middle Aged , Organizational Case Studies , Pennsylvania , SARS-CoV-2
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