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  1. Article ; Online: Why They Stayed and Why They Left—A Case Study from Ellicott City, MD after Flash Flooding

    Alisha Yee Chan / Kate Burrows / Michelle L. Bell

    International Journal of Environmental Research and Public Health, Vol 19, Iss 10636, p

    2022  Volume 10636

    Abstract: Ellicott City, MD was devasted by flash flooding in 2016 and 2018. A lack of qualitative research has been conducted on topics related to sense of place and flash flooding, especially in the United States. In this study, we reveal reasons why some who ... ...

    Abstract Ellicott City, MD was devasted by flash flooding in 2016 and 2018. A lack of qualitative research has been conducted on topics related to sense of place and flash flooding, especially in the United States. In this study, we reveal reasons why some who experienced flash flooding continued to stay the flood zone and why some leave. We utilized a phenomenological approach to answer these research questions. Data were generated through in-depth interviews with 19 participants from the Historic District and adjacent neighborhoods in Ellicott City. The most common reasons participants stayed were: (1) Community Impact, (2) Historical Land, and (3) Financial Burden. The most common reasons participants left were: (1) Emotional Exhaustion and Frustration, (2) Fear/Anxiety, and (3) Financial Burden. The results of our study indicate that reasons individuals who experience flash flooding stay, or leave may include community/historical, environmental, emotional, and economic factors. This reveals the complexity of relocation and sense of place after natural/environmental disasters and supports previous literature that suggests tailored response efforts based on these unique set of burdens. This paper aims to identify burdens and understand flood victims’ decisions to help policy makers improve flood response efforts.
    Keywords flash flooding ; phenomenological analysis ; sense of place ; relocation ; Medicine ; R
    Subject code 710
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Why They Stayed and Why They Left-A Case Study from Ellicott City, MD after Flash Flooding.

    Chan, Alisha Yee / Burrows, Kate / Bell, Michelle L

    International journal of environmental research and public health

    2022  Volume 19, Issue 17

    Abstract: Ellicott City, MD was devasted by flash flooding in 2016 and 2018. A lack of qualitative research has been conducted on topics related to sense of place and flash flooding, especially in the United States. In this study, we reveal reasons why some who ... ...

    Abstract Ellicott City, MD was devasted by flash flooding in 2016 and 2018. A lack of qualitative research has been conducted on topics related to sense of place and flash flooding, especially in the United States. In this study, we reveal reasons why some who experienced flash flooding continued to stay the flood zone and why some leave. We utilized a phenomenological approach to answer these research questions. Data were generated through in-depth interviews with 19 participants from the Historic District and adjacent neighborhoods in Ellicott City. The most common reasons participants stayed were: (1) Community Impact, (2) Historical Land, and (3) Financial Burden. The most common reasons participants left were: (1) Emotional Exhaustion and Frustration, (2) Fear/Anxiety, and (3) Financial Burden. The results of our study indicate that reasons individuals who experience flash flooding stay, or leave may include community/historical, environmental, emotional, and economic factors. This reveals the complexity of relocation and sense of place after natural/environmental disasters and supports previous literature that suggests tailored response efforts based on these unique set of burdens. This paper aims to identify burdens and understand flood victims' decisions to help policy makers improve flood response efforts.
    MeSH term(s) Disasters ; Floods ; Humans ; Qualitative Research
    Language English
    Publishing date 2022-08-26
    Publishing country Switzerland
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph191710636
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Higher incidence of novel coronavirus (COVID-19) cases in areas with combined sewer systems, heavy precipitation, and high percentages of impervious surfaces.

    Chan, Alisha Yee / Kim, Honghyok / Bell, Michelle L

    The Science of the total environment

    2022  Volume 820, Page(s) 153227

    Abstract: Combined sewer systems (CSS) are water management systems that collect and transport stormwater and sewer water in the same pipes. During large storm events, stormwater runoff may exceed the capacity of the system and lead to combined sewer overflows ( ... ...

    Abstract Combined sewer systems (CSS) are water management systems that collect and transport stormwater and sewer water in the same pipes. During large storm events, stormwater runoff may exceed the capacity of the system and lead to combined sewer overflows (CSOs), where untreated sewer and stormwater are released into the environment. Though current literature reveals inconclusive evidence regarding the infectivity of SARS-CoV-2 in wastewater, detection of infectious SARS-CoV-2 in urine and feces of COVID-19 patients led to concerns that areas contaminated by CSOs may be a reservoir of SARS-CoV-2 and may result in illness after the ingestion and/or inhalation of contaminated splashes, droplets, or aerosols. We investigated the association between COVID-19 incidence and CSSs and whether this association differed by precipitation and percent impervious surfaces as a proxy for possible CSOs. We fitted a quasi-Poisson regression model to estimate the change in percentage of incidence rate of COVID-19 cases in counties with a CSS compared to those without, adjusting for potential confounders (i.e., state, population density, date of first documented COVID-19 case, social vulnerability, and percent vaccinated) and including interaction variables between CSS, precipitation, and impervious surfaces. Our findings suggest that heavy precipitation in combination with high percentages of imperviousness is associated with higher incidences of COVID-19 cases in counties with a CSS compared to in counties without (p-value = 2.5e-9). For example, CSS-counties with precipitation of 10 in/month may observe a higher incidence in COVID-19 cases compared to non-CSS counties if their impervious surfaces exceed 33.5% [95%CI: 23.0%, 60.0%]. We theorize that more COVID-19 cases may be seen in counties with a CSS, heavy precipitation, and high percentages of impervious surfaces because of the possible increase in frequency and severity of CSOs. The results suggest links between climate change, urbanization, and COVID-19.
    MeSH term(s) COVID-19/epidemiology ; Humans ; Incidence ; Rain ; SARS-CoV-2 ; Sewage ; Wastewater
    Chemical Substances Sewage ; Waste Water
    Language English
    Publishing date 2022-01-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.153227
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Higher incidence of novel coronavirus (COVID-19) cases in areas with combined sewer systems, heavy precipitation, and high percentages of impervious surfaces

    Chan, Alisha Yee / Kim, Honghyok / Bell, Michelle L.

    Science of the total environment. 2022 May 10, v. 820

    2022  

    Abstract: Combined sewer systems (CSS) are water management systems that collect and transport stormwater and sewer water in the same pipes. During large storm events, stormwater runoff may exceed the capacity of the system and lead to combined sewer overflows ( ... ...

    Abstract Combined sewer systems (CSS) are water management systems that collect and transport stormwater and sewer water in the same pipes. During large storm events, stormwater runoff may exceed the capacity of the system and lead to combined sewer overflows (CSOs), where untreated sewer and stormwater are released into the environment. Though current literature reveals inconclusive evidence regarding the infectivity of SARS-CoV-2 in wastewater, detection of infectious SARS-CoV-2 in urine and feces of COVID-19 patients led to concerns that areas contaminated by CSOs may be a reservoir of SARS-CoV-2 and may result in illness after the ingestion and/or inhalation of contaminated splashes, droplets, or aerosols. We investigated the association between COVID-19 incidence and CSSs and whether this association differed by precipitation and percent impervious surfaces as a proxy for possible CSOs. We fitted a quasi-Poisson regression model to estimate the change in percentage of incidence rate of COVID-19 cases in counties with a CSS compared to those without, adjusting for potential confounders (i.e., state, population density, date of first documented COVID-19 case, social vulnerability, and percent vaccinated) and including interaction variables between CSS, precipitation, and impervious surfaces. Our findings suggest that heavy precipitation in combination with high percentages of imperviousness is associated with higher incidences of COVID-19 cases in counties with a CSS compared to in counties without (p-value = 2.5e-9). For example, CSS-counties with precipitation of 10 in/month may observe a higher incidence in COVID-19 cases compared to non-CSS counties if their impervious surfaces exceed 33.5% [95%CI: 23.0%, 60.0%]. We theorize that more COVID-19 cases may be seen in counties with a CSS, heavy precipitation, and high percentages of impervious surfaces because of the possible increase in frequency and severity of CSOs. The results suggest links between climate change, urbanization, and COVID-19.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; breathing ; climate change ; environment ; feces ; ingestion ; pathogenicity ; population density ; regression analysis ; socioeconomics ; storms ; stormwater ; urbanization ; urine ; wastewater ; water management
    Language English
    Dates of publication 2022-0510
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.153227
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Displacement of Racially and Ethnically Minoritized Groups after the Installation of Stormwater Control Measures (i.e., Green Infrastructure): A Case Study of Washington, DC.

    Chan, Alisha Yee / Son, Ji-Young / Bell, Michelle Lee

    International journal of environmental research and public health

    2021  Volume 18, Issue 19

    Abstract: Stormwater control measures (SCMs) (i.e., green infrastructure) are advantageous methods of stormwater management. However, studies suggest that urban greening may be associated with gentrification, displacing racially/ethnically minoritized groups due ... ...

    Abstract Stormwater control measures (SCMs) (i.e., green infrastructure) are advantageous methods of stormwater management. However, studies suggest that urban greening may be associated with gentrification, displacing racially/ethnically minoritized groups due to increased housing costs and loss of feelings of belonging. We studied displacement of racially/ethnically minoritized groups after SCM installation in Washington, DC. We compared the change in percentage of persons in racial/ethnic groups at the Census block group level with varying levels of SCM installation (i.e., area-weighted SCM count at 300 m buffer). We stratified findings by SCM type, pre-installation income, and SCM size. DC installed a higher density of SCMs in areas with a higher percentage of Black and/or Hispanic/Latino residents. Nonetheless, findings suggest SCM installation is associated with displacement of Black residents. The percentage of residents who are Black decreased by 2.2% [95% Confidence Interval: 1.7, 2.7] and 4.1% [95% Confidence Interval: 3.4, 4.8] after low and high levels of SCM installation, respectively. In turn, the change in percentage of residents who are White increased with increasing levels of SCM installation. Compared to ecological studies on SCMs, studies about social impacts are scarce. This research intends to help optimize SCM installations so more residents can enjoy their health, economic, and ecological benefits.
    MeSH term(s) District of Columbia ; Ethnicity ; Hispanic or Latino ; Humans ; Income ; Racial Groups
    Language English
    Publishing date 2021-09-24
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph181910054
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Culex Mosquitoes at Stormwater Control Measures and Combined Sewer Overflow Outfalls after Heavy Rainfall

    Chan, Alisha Yee / Kim, Honghyok / Bell, Michelle L.

    Water. 2021 Dec. 23, v. 14, no. 1

    2021  

    Abstract: Mosquito borne diseases are increasingly problematic as climate change continues to alter patterns of precipitation, flooding, and temperatures that may favor mosquito habitats. Stormwater control measures (SCMs), ecologically sustainable methods of ... ...

    Abstract Mosquito borne diseases are increasingly problematic as climate change continues to alter patterns of precipitation, flooding, and temperatures that may favor mosquito habitats. Stormwater control measures (SCMs), ecologically sustainable methods of stormwater management, may have varying impacts on Culex mosquitoes, such as in areas with combined sewer overflows (CSOs). We studied spatial and temporal associations of SCMs and Culex mosquito counts surrounding the SCMs, stratifying our examination amongst those that do/do not use pooling and/or vegetation, as well as surrounding CSO outfalls after heavy rainfall (≥95th percentile) during summer 2018. Results indicate Culex mosquito counts after heavy rainfall were not significantly different at SCMs that use vegetation and/or ponding from at those that do not. We also found a 35.5% reduction in the increase of Culex mosquitoes the day of, and 77.0% reduction 7–8 days after, heavy rainfall at CSO outfalls treated with medium SCM density compared to those without SCMs. Our results suggest that SCMs may be associated with a reduction in the increase of Culex mosquitoes at the CSO outfalls after heavy rainfall. More research is needed to study how the impacts of SCMs on mosquito populations may affect human health.
    Keywords Culex ; climate change ; human health ; rain ; stormwater ; stormwater management ; summer ; vegetation
    Language English
    Dates of publication 2021-1223
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w14010031
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Displacement of Racially and Ethnically Minoritized Groups after the Installation of Stormwater Control Measures (i.e., Green Infrastructure)

    Alisha Yee Chan / Ji-Young Son / Michelle Lee Bell

    International Journal of Environmental Research and Public Health, Vol 18, Iss 10054, p

    A Case Study of Washington, DC

    2021  Volume 10054

    Abstract: Stormwater control measures (SCMs) (i.e., green infrastructure) are advantageous methods of stormwater management. However, studies suggest that urban greening may be associated with gentrification, displacing racially/ethnically minoritized groups due ... ...

    Abstract Stormwater control measures (SCMs) (i.e., green infrastructure) are advantageous methods of stormwater management. However, studies suggest that urban greening may be associated with gentrification, displacing racially/ethnically minoritized groups due to increased housing costs and loss of feelings of belonging. We studied displacement of racially/ethnically minoritized groups after SCM installation in Washington, DC. We compared the change in percentage of persons in racial/ethnic groups at the Census block group level with varying levels of SCM installation (i.e., area-weighted SCM count at 300 m buffer). We stratified findings by SCM type, pre-installation income, and SCM size. DC installed a higher density of SCMs in areas with a higher percentage of Black and/or Hispanic/Latino residents. Nonetheless, findings suggest SCM installation is associated with displacement of Black residents. The percentage of residents who are Black decreased by 2.2% [95% Confidence Interval: 1.7, 2.7] and 4.1% [95% Confidence Interval: 3.4, 4.8] after low and high levels of SCM installation, respectively. In turn, the change in percentage of residents who are White increased with increasing levels of SCM installation. Compared to ecological studies on SCMs, studies about social impacts are scarce. This research intends to help optimize SCM installations so more residents can enjoy their health, economic, and ecological benefits.
    Keywords displacement ; environmental justice ; stormwater control measures ; green infrastructure ; race ; ethnicity ; Medicine ; R
    Subject code 380
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Impacts of the COVID-19 pandemic on scientists’ productivity in science, technology, engineering, mathematics (STEM), and medicine fields

    Seulkee Heo / Alisha Yee Chan / Pedro Diaz Peralta / Lan Jin / Claudia Ribeiro Pereira Nunes / Michelle L. Bell

    Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-

    2022  Volume 11

    Abstract: Abstract While studies suggested adverse impacts of COVID-19 on scientific outputs and work routines for scientists, more evidence is required to understand detailed obstacles challenging scientists’ work and productivity during the pandemic, including ... ...

    Abstract Abstract While studies suggested adverse impacts of COVID-19 on scientific outputs and work routines for scientists, more evidence is required to understand detailed obstacles challenging scientists’ work and productivity during the pandemic, including how different people are affected (e.g., by gender). This online survey-based thematic analysis investigated how the pandemic affected scientists’ perception of scientific and academic productivity in the science, technology, engineering, and mathematics (STEM) and medicine fields. The analysis examined if inequitable changes in duties and responsibilities for caregiving for children, family, and/or households exist between scientists who are mothers compared to scientists who are fathers or non-parents. The survey collected data from 2548 survey responses in six languages across 132 countries. Results indicate that many scientists suffered from delays and restrictions on research activities and administrations due to the lockdown of institutions, as well as increased workloads from adapting to online teaching environment. Caregiving responsibility for children and family increased, which compromised time for academic efforts, especially due to the temporary shutdown of social supports. Higher percentages of female parent participants than male parent participants expressed such increased burdens indicating unequal divisions of caregiving between women and men. A range of physical and mental health issues was identified mainly due to overworking and isolation. Despite numerous obstacles, some participants reported advantages during the pandemic including the efficiency of online teaching, increased funding for COVID-related research, application of alternative research methodologies, and fluidity of the workday from not commuting. Findings imply the need for rapid institutional support to aid various academic activities and diminish gender inequity in career development among academicians, highlighting how crisis can exacerbate existing inequalities.
    Keywords History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
    Subject code 001
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Springer Nature
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: 2023 Canadian Surgery Forum: Sept. 20-23, 2023.

    Brière, Raphaëlle / Émond, Marce / Benhamed, Axel / Blanchard, Pierre-Gilles / Drolet, Sébastien / Habashi, Rogeh / Golbon, Bahar / Shellenberger, Jonas / Pasternak, Jesse / Merchant, Shaila / La, Julie / Sawhney, Monakshi / Brogly, Susan / Cadili, Lina / Horkoff, Michael / Ainslie, Scott / Demetrick, Jeffrey / Chai, Brian / Wiseman, Kevin /
    Hwang, Hamish / Alhumoud, Zainab / Salem, Amro / Lau, Rebecca / Aw, Katherine / Nessim, Carolyn / Gawad, Nada / Alibhai, Kameela / Towaij, Chelsea / Doan, Danielle / Raîche, Isabelle / Valji, Rahim / Turner, Simon / Balmes, Patricia Nicole / Hameed, S Morad / Tan, Jun Guang Kendric / Wijesuriya, Ruwan / Hew, Nicole Lee Chui / Lund, Matthew / Hawel, Jeffrey / Gregor, Jamie / Leslie, Ken / Lenet, Tori / McIsaac, Daniel / Hallet, Julie / Jerath, Angela / Lalu, Manoj / Nicholls, Stuart / Presseau, Justin / Tinmouth, Alan / Verret, Michael / Wherrett, Christopher / Fergusson, Dean / Martel, Guillaume / Sharma, Sahil / McKechnie, Tyler / Talwar, Gaurav / Patel, Janhavi / Heimann, Luke / Doumouras, Aristithes / Hong, Dennis / Eskicioglu, Cagla / Wang, Christine / Guo, Michael / Huang, Longlong / Sun, Shaun / Davis, Noelle / Wang, Julian / Skulsky, Samuel / Sikora, Lindsey / Son, Hyo Jin / Gee, Denise / Gomez, David / Jung, James / Selvam, Rajajee / Seguin, Nieve / Zhang, Lisa / Lacaille-Ranger, Ariane / Moloo, Husein / Follett, Alicia / Holly / Organ, Michael / Pace, David / Balvardi, Saba / Kaneva, Pepa / Semsar-Kazerooni, Koorosh / Mueller, Carmen / Vassiliou, Melina / Al Mahroos, Mohammed / Fiore, Julio F / Schwartzman, Kevin / Feldman, Liane / Karimuddin, Ahmer / Liu, Gui Ping / Crump, Trafford / Sutherland, Jason / Hickey, Kala / Bonisteel, Erin M / Umali, Jurgienne / Dogar, Ibrahim / Warden, Geoffrey / Boone, Darrell / Mathieson, Alexander / Hogan, Michael / Li, Yiran / Best, Gordon / Leong, Rachel / Wiseman, Sam / Alaoui, Ahmed Amine / Hajjar, Roy / Wassef, Evelyne / Metellus, Danny Sebastien / Dagbert, François / Loungnarath, Rasmy / Ratelle, Richard / Schwenter, Frank / Debroux, Éric / Wassef, Ramses / Gagnon-Konamna, Marianne / Pomp, Alfons / Richard, Carole S / Sebajang, Herawaty / Santos, Manuela M / Shi, Ge / Leung, Regina / Lim, Christina / Knowles, Sarah / Parmar, Simran / Debru, Estifanos / Mohamed, Fardowsa / Anakin, Megan / Lee, Yung / Samarasinghe, Yasith / Khamar, Jigish / Petrisor, Bradley / Yang, Ilun / Mughal, Hanaa N / Bhugio, Mumtaz / Gok, Muhammed A / Khan, Usman A / Fernandes, Alisha R / Spence, Richard / Porter, Geoffrey / Hoogerboord, C Marius / Neumann, Katerina / Pillar, Michal / Manhas, Neraj / Melck, Adrienne / Kazi, Tania / Jessani, Ghazal / Tessier, Léa / Archer, Vicki / Park, Lily / Cohen, Dan / Parpia, Sameer / Bhandari, Mohit / Dionne, Joanna / Bolin, Sara / Afford, Rebecca / Armstrong, Madeleine / Grant, Aaron / Van Koughnett, Julie Ann / Clement, Elizabeth / Lange, Claire / Roshan, Aishwi / Scott, Tracy / Nadeau, Kara / Macmillan, Jennifer / Wilson, Jaime / Deschenes, Madeleine / Nurullah, Aruba / Cahill, Caitlin / Chen, Victoria H / Patterson, Keiko M / Wiseman, Sam M / Wen, Betty / Bhudial, Joshua / Barton, Anise / Lie, Jessica / Park, Chan Mi / Yang, Laiji / Gouskova, Natalia / Kim, Dae Hyun / Morris-Janzen, Dunavan / McLellan, Alastair / Archer, Victoria / Cloutier, Zacharie / Berg, Annie / Wiercioch, Wojtek / Labonté, Joëlle / Bisson, Pascale / Bégin, André / Cheng-Oviedo, Sonia Gabriela / Collin, Yves / Fernandes, Alisha R / Hossain, Intekhab / Ellsmere, James / El-Kefraoui, Charbel / Do, Uyen / Miller, Andrew / Kouyoumdjian, Araz / Cui, David / Khorasani, Elahe / Landry, Tara / Amar-Zifkin, Alexandre / Lee, Lawrence / Fiore, Julio / Au, Tran Michelle / Oppenheimer, Mark / Logsetty, Sarvesh / AlShammari, Raghad / AlAbri, Mohammad / Brown, Carl / Raval, Manoj J / Phang, Paul Terry / Bird, Samantha / Baig, Zarrukh / Abu-Omar, Nawaf / Gill, Dilip / Suresh, Soumiya / Ginther, Nathan / Karpinski, Marta / Ghuman, Amandeep / Malik, Peter R A / Zabolotniuk, Taryn / Mashal, Sarah / Boulanger, Nathalie / Watt, Larry / Razek, Tarek / Fata, Paola / Grushka, Jeremy / Wong, Evan G / Landry, Maxim / Mackey, Sarah / Fairbridge, Nicholas / Greene, Alison / Borgoankar, Mark / Kim, Cullen / DeCarvalho, Diana / Wigen, Robin / Walser, Emily / Davidson, Jacob / Dorward, Michael / Muszynski, Leanne / Dann, Celia / Seemann, Natashia / Lam, Jennifer / Harding, Kaitlyn / Lowik, A J / Guinard, Caroline / Ma, Odelle / Mocanu, Valentin / Lin, Andrea / Karmali, Shahzeer / Bigam, David / Greaves, Grant / Parker, Brent / Nguyen, Vu / Ahmed, Azim / Yee, Belinda / Perren, Joël / Norman, Mathew / Grey, Morgan / Perini, Rafael / Jowhari, Fahd / Bak, Adrian / Drung, Jeremy / Allen, Laura / Wiseman, Daniele / Moffat, Bradley / Lee, Jeremy K H / McGuire, Catherine / Tudorache, Mihaela / Park, Lily J / Borges, Flavia K / Nenshi, Rahima / Jacka, Michael / Heels-Ansdell, Diane / Simunovic, Marko / Bogach, Jessica / Serrano, Pablo E / Thabane, Lehana / Devereaux, P J / Farooq, Sauleha / Lester, Erica / Kung, Janice / Bradley, Nori / Ahn, San / Prince, Nicole / Cheng-Boivin, Olivia / Wang, Harry / Quartermain, Liam / Tan, Sherry / Shamess, Jennifer / Simard, Mathilde / Vigil, Humberto / Hanna, Mary / Azam, Riordan / Ko, Gary / Zhu, Mayanne / Raveendran, Yanuga / Lam, Christine / Tang, Janet / Bajwa, Amrit / Englesakis, Marina / Reel, Emma / Cleland, Jordan / Snell, Laura / Lorello, Gianni / Cil, Tulin / Ahn, Hilalion San / Dube, Catherine / Smith, David / Leclerc, Alexie / Rostom, Alaa / Calo, Natalia / Thavorn, Kednapa / Laplante, Simon / Liu, Louis / Khan, Nadia / Okrainec, Allan / Bruyninx, Gladys / Georgescu, Ilinca / Khokhotva, Vladislav / Yang, Shuling / Spoyalo, Karina / Rebello, Thais Ayres / Chhipi-Shrestha, Gyan / Mayson, Kelly / Sadiq, Rehan / Hewage, Kasun / MacNeill, Andrea / Muncner, Susan / Li, Mo Yu / Mihajlovic, Igor / Dykstra, Mark / Snelgrove, Ryan / Wang, Haili / Schweitzer, Christina / Garcha, Ivneet / Jogiat, Uzair / Baracos, Vickie / Turner, Simon R / Eurich, Dean / Filafilo, Heather / Rouhi, Armin / Bédard, Alexandre / Bédard, Eric L R / Patel, Yogita S / Alaichi, Jacob A / Agzarian, John / Hanna, Wael C / Provost, Esther / Shayegan, Bobby / Adili, Anthony / Mistry, Nikkita / Gatti, Anthony A / Farrokhyar, Forough / Xie, Feng / Sullivan, Kerrie A / Liberman, Moishe / Gonzalez, Anne V / Nayak, Rahul / Yasufuku, Kazuhiro / Cross, Sam / Haché, Pier-Luc / Galvaing, Geraud / Simard, Serge / Grégoire, Jocelyn / Bussières, Jean / Lacasse, Yves / Sassi, Sami / Champagne, Catherine / Laliberté, Anne-Sophie / Jeong, Jin Yong / Wilson, Hillary / Blakely, Pam / Dang, Jerry / Sun, Warren / Wong, Clarence / Hakim, Suhail Yaqoob / Azizi, Samim / El-Menyar, Ayman / Rizoli, Sandro / Al-Thani, Hassan / French, Daniel / Li, Chao / Gossen, Shiloh / Bailey, Jon / Tibbo, Phil / Crocker, Candice / Bondzi-Simpson, Adom / Ribeiro, Tiago / Kidane, Biniam / Ko, Michael / Coburn, Natalie / Kulkarni, Girish / Ramzee, Ahmed Faidh / Afifi, Ibrahim / Alani, Mushrek / Chughtai, Talat / Huo, Bright / Manos, Daria / Xu, Zhaolin / Kontouli, Katerina-Maria / Chun, Samuel / Fris, John / Wallace, Allison M R / French, Daniel G / Giffin, Catherine / Dayan, Gabriel / Farivar, Alexander / Weessies, Cara / Robinson, Madeline / Bednarek, Leeann / Buduhan, Gordon / Liu, Richard / Tan, Lawrence / Srinathan, Sadeesh K / Nasralla, Awrad / Safieddine, Najib / Gazala, Sayf / Simone, Carmine / Ahmadi, Negar / Hilzenrat, Roy / Blitz, Maurice / Deen, Shaun / Humer, Michael / Jugnauth, Anand / Kerr, Laura / Sun, Simon / Browne, Ikennah / Patel, Yogita / Hanna, Wael / Loshusan, Brandon / Shamsil, Arefin / Naish, Michael D / Qiabi, Mehdi / Patel, Rajni / Malthaner, Richard / Pooja, Patel / Roberto, Ribeiro / Greg, Hirsch / Daniel, French / Huynh, Caroline / Sharma, Sohat / Vieira, Arthur / Jain, Fagun / Lee, Yejun / Mousa-Doust, Dorsa / Costa, Jonice / Mezei, Michelle / Chapman, Kristine / Briemberg, Hannah / Jack, Kristin / Grant, Kyle / Choi, James / Yee, John / McGuire, Anna L / Abdul, Sami Aftab / Khazoom, Francois / Gilbert, Sebastien / Sundaresan, Sudhir / Jones, Daniel / Seely, Andrew J E / Villeneuve, Patrick J / Maziak, Donna E / Pigeon, Claudie-Anne / Frigault, Jonathan / Roy, Ève-Marie / Bujold-Pitre, Kristopher / Courval, Valérie / Tessier, Lea / 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Alam, Armaghan / Ghuman, Anu / James, Nicholas / Laczko, Dora / Lee, Stephanie / Sritharan, Praveen / Hershorn, Olivia / Phang, P Terry / Chen, Alex / Boutros, Marylise / Caminsky, Natasha / Dumitra, Teodora / Faris-Sabboobeh, Sarah / Demian, Marie / Rigas, Georgia / Monton, Olivia / Smith, Allister / Moon, Jeongyoon / Garfinkle, Richard / Vasilevsky, Carol-Ann / Rajabiyazdi, Fateme / Courage, Emily / LeBlanc, Danielle / Benesch, Matthew / Hartwig, Katia / Armstrong, Casey / Engelbrecht, Reniel / Fagan, Mitchell / Borgaonkar, Mark / Shanahan, Jessica / Salama, Ebram / Arsenault, Mylène / Leon, Nathalie / Loiselle, Carmen / Rajabiyazdi, Fatemeh / Brennan, Kelly / Rai, Mandip / Farooq, Ameer / McClintock, Chad / Kong, Weidong / Boukhili, Neyla / Paradis, Tiffany / Liberman, A Sender / Feldman, Liane S / Abner, Deborah / Alam, Tarik / Beyer, Elaine / Evans, Michele / Hill, Mary / Johnston, Debra / Lohnes, Karla / Menard, Svea / Pitcher, Nicole / Sair, Kelly / Smith, Bev / Yarjau, Bonita / 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Alibrahim, Huseen / Giundi, Christian / Munir, Haroon / Safar, Ali / Sabboobeh, Sarah / Holland, Jessica / Abtahi, Sean / Chhor, Allison / Caminsky, Natasha Grace / Moon, Jenny Jeongyoon / Marinescu, Daniel / Pang, Allison / Al-Abri, Mohammed / Gee, Elliott / Morena, Nina / Ben-Zvi, Libby / Hayman, Victoria / Hou, Mary / Nguyen, Diana / Rentschler, Carrie A / Meguerditchian, Ari N / Mir, Zuhaib / Fei, Linda / McKeown, Sandra / Dinchong, Rachelle / Cofie, Nicholas / Dalgarno, Nancy / Cheifetz, Rona / Jaffer, Alisha / Cullinane, Carolyn / Feeney, Gerard / Jalali, Amirhossein / Merrigan, Anne / Baban, Chwanrow / Buckley, Juliette / Tormey, Shona / Wu, Rongrong / Takabe, Kazuaki / O'Brien, Shalana / Kazazian, Karineh / Abdalaty, Ali Hosni / Brezden, Christine / Burkes, Ron / Chen, Eric / Govindarajan, Anand / Jang, Raymond / Lukovic, Jelena / Mesci, Aruz / Quereshy, Fayez / Swallow, Carol / Marini, Wanda / Zheng, Weiyue / Murakami, Kiichi / Ohashi, Pamela / Reedijk, Michael / Ivankovic, Victoria / Han, Lewis / Gresham, Louise / Mallick, Ranjeeta / Auer, Rebecca / Fontebasso, Adam / Lee, Alex / Bernard-Bedard, Ericka / Wong, Boaz / Li, Heidi / Grose, Elysia / Brandts-Longtin, Olivier / Aw, Katie / Abed, Ahmad / Stevenson, James / Sheikh, Rahat / Chen, Richard / Johnson-Obaseki, Stephanie / Hennessey, Rachel Liu / Meneghetti, Adam T / Bildersheim, Michael / Bouchard-Fortier, Antoine / Nelson, Gregg / Mack, Lloyd / Ghasemi, Farhad / Naeini, Mahtab Malekian / Parsyan, Armen / Kaur, Yuvreet / Covelli, Andrea / Elimova, Elena / Panov, Elan / Brierley, James / Burnett, Bev / Eom, Ashley / Kirkwood, David / Hodgson, Nicole / Whelan, Timothy / Levine, Mark / Parvez, Elena / Ng, Deanna / Lee, Kiera / Lu, Yi Qing / Kim, Dae Kyum / Magalhaes, Marco / Grigor, Emma / Arnaout, Angel / Zhang, Jing / Yee, Elliott K / Look Hong, Nicole J / Wright, Frances C / Gandhi, Sonal / Jerzak, Katarzyna J / Eisen, Andrea / Roberts, Amanda / Ben Lustig, Daniel / Quan, May Lynn / Phan, Tien / Cao, 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Dhruvin / Irish, Jonathan / Rashid, Mohammed / Martin, Tharsiya / Zhu, Alice / McKnight, Leah / Hunter, Amber / Jayaraman, Shiva / Wei, Alice / Wright, Frances / Mallette, Katlin / Elnahas, Ahmad / Alkhamesi, Nawar / Schlachta, Christopher / Tang, Ephraim / Punnen, Subin / Zhong, Jade / Yang, Yuwei / Streith, Lucas / Yu, Jordan / Chung, Stephen / Kim, Peter / Chartier-Plante, Stephanie / Segedi, Maja / Bleszynski, Michael / White, Molly / Tsang, Melanie E / Lam-Tin-Cheung, Kimberley / Tsang, Melanie / Greene, Brittany / Pouramin, Panthea / Allen, Susan / Evan Nelson, David / Walsh, Mark / Côté, Julien / Rebolledo, Rolando / Borie, Mélanie / Menaouar, Ahmed / Landry, Carolyne / Plasse, Marylène / Létourneau, Richard / Dagenais, Michel / Rong, Zhixia / Roy, André / Beaudry-Simoneau, Eve / Vandenbroucke-Menu, Franck / Lapointe, Réal / Ferraro, Pasquale / Sarkissian, Shant Der / Noiseux, Nicolas / Turcotte, Simon / Haddad, Yara / Bernard, Antoine / Lafortune, Clara / Brassard, Nathalie / Roy, Annie / Perreault, Claude / Mayer, Gaétan / Marcinkiewicz, Mieczyslaw / Mbikay, Majambu / Chrétien, Michel / Sinclair, Lynne / Shin, Elizabeth / Engelage, Crystal / Muaddi, Hala / Flemming, Jennifer / Dawson, Laura / O'Kane, Grainne / Feld, Jordan / Cleary, Sean / Hamel, Anthonie / Marcoux, Camille / Ngo, Thanh-Quan Philips / Deshaies, Isabelle / Mansouri, Sarah / Amhis, Nawal / Léveillé, Maxime / Lawson, Christine / Achard, Carol / Ilkow, Carolina / Tai, Lee-Hwa / Griffiths, Christopher / D'Souza, Daniel / Rodriguez, Felipe / Panton, O Neely M / Chiu, Chieh Jack / Henao, Oscar / Netto, Fernando Spencer / Mainprize, Marguerite / Jatana, Sukhdeep / Verhoeff, Kevin / Birch, Daniel / Switzer, Noah / Hetherington, Alexandra / Al-Ghaithi, Najla / Vourtzoumis, Phil / Demyttenaere, Sebastian / Court, Olivier / Andalib, Amin / Madsen, Karen / Wu, Ted / He, Wenjing / Hardy, Krista / Zmudzinski, Marta / Daenick, Felica / Linton, Janice / Fowler-Woods, Melinda / Fowler-Woods, Amanda / Shingoose, Geraldine / Molnar, Amber / Nguyen, Francis / Schneider, Romano / Fecso, Andras B / Sharma, Priya / Maeda, Azusa / Jackson, Timothy / McLean, Cheynne / MacVicar, Sarah / McLennan, Steffane / Purich, Kieran / Birch, Daniel W / Switzer, Noah J / Jeffery, Lisa / Ryley, Alexis / Schellenberg, Morgan / Owattanapanich, Natthida / Emigh, Brent / Nichols, Chance / Dilday, Joshua / Ugarte, Chaiss / Onogawa, Atsushi / Matsushima, Kazuhide / Martin, Matthew J / Inaba, Kenji / Shapiro, Doug / Im, Daniel / Lam, Lydia / Rezende-Neto, Joao / Lemke, Madeline / Leeper, William / Walser, Eric / Bateni, Sarah / Barabash, Victoria / Barr, Austin / Chan, Wing / Warraich, Ahmed / Gillman, Lawrence / Ziesmann, Markus / Momic, Jovana / Yassin, Nouf / Kim, Mella / Makish, Amy / Smith, Shane / Ball, Ian / Moffat, Brad / Parry, Neil / Kroeker, Jenna / Evans, David / Fansia, Nahal / Notik, Chana / Coyle, Guire / Seben, David / Smith, Jaiden / Tanenbaum, Brandy / Freedman, Corey / Nathens, Avery / 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    Canadian journal of surgery. Journal canadien de chirurgie

    2023  Volume 66, Issue 6 Suppl 1, Page(s) S54–S136

    Language English
    Publishing date 2023-12-13
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 410651-9
    ISSN 1488-2310 ; 0008-428X
    ISSN (online) 1488-2310
    ISSN 0008-428X
    DOI 10.1503/cjs.014223
    Database MEDical Literature Analysis and Retrieval System OnLINE

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