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9. Racial and ethnic disparities in Lyme disease in the United States.

Author

Gould, L. Hannah, Fathalla, Adam, Moïsi, Jennifer C., and Stark, James H.

Subjects
*LYME disease, *RACIAL inequality, *DISEASE progression, *RACE, *WHITE people
Abstract

Introduction: Lyme disease (LD), caused by the spirochete Borrelia burgdorferi, is the most common vector‐borne disease in the United States. Although most surveillance‐reported cases are in people who are White, data suggest worse outcomes among people from racial and ethnic minority groups. Methods: We conducted a systematic literature review to describe racial disparities in LD. We described the epidemiology of LD by race and ethnicity, including clinical presentation at diagnosis, and summarised the literature on knowledge, attitudes and practices related to LD and ticks by race and ethnicity. Results: Overall, the incidence and prevalence of LD were 1.2–3.5 times higher in White persons than in persons who identified as Asian or Pacific Islander and 4.5–6.3 times higher in White persons than in persons who identified as Black. Across multiple studies, people from racial and ethnic minority groups were more likely than White people to have disseminated manifestations of LD, including neurological manifestations and arthritis, and less likely to have erythema migrans. People from racial and ethnic minority groups were also more likely to report disease onset in the fall and less likely to report disease onset in the summer. Possible reasons for these disparities include lack of recognition of the disease in people with darker skin tones, lack of knowledge of disease risk for some groups and differences in exposure risk. Conclusions: Taken together, these results reinforce that all people residing in high‐incidence areas are at risk of LD, regardless of race or ethnicity. Future prevention measures should be broadly targeted to reach all at‐risk populations. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Population-based estimates of COVID-19 period prevalence and cumulative monthly incidence in New York City: A comparison of estimates from three surveys, July–August 2020

Author

Peebles, Kathryn, primary, Witt, Michael, additional, Caton, Jo-Anne, additional, Sanderson, Michael L, additional, Perlman, Sharon E, additional, Fernandez, Steven, additional, Dumas, Sarah E, additional, Alroy, Karen A, additional, Burkey, Andrew, additional, Ruther, Nicholas, additional, Sokolowski, John, additional, Gwynn, R. Charon, additional, Gould, L Hannah, additional, and Seligson, Amber Levanon, additional

Published
2023
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23. Intense Focus of Alveolar Echinococcosis, South Kyrgyzstan

Author

Jackson, Kelly A., Gould, L. Hannah, Hunter, Jennifer C., Kucerova, Bebezov, Bakhadyr, Mamashev, Nurlan, Umetaliev, Tilek, Ziadinov, Iskender, Craig, Philip S., Joekel, Deborah E., Deplazes, Peter, Grimm, Felix, and Torgerson, Paul R.

Subjects
Prevalence studies (Epidemiology), Echinococcosis -- Distribution, Lung diseases -- Distribution, Company distribution practices, Health
Abstract

Human alveolar echinococcosis (AE), caused by the larval stage of Echinococcus multilocularis, is a lethal parasitic zoonosis if untreated (1,2). In China, hyperendemic foci of disease have been described (3) [...]

Published
2018
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29. Implementation of Nationwide Real-time Whole-genome Sequencing to Enhance Listeriosis Outbreak Detection and Investigation

Author

Jackson, Brendan R., Tarr, Cheryl, Strain, Errol, Jackson, Kelly A., Conrad, Amanda, Carleton, Heather, Katz, Lee S., Stroika, Steven, Gould, L. Hannah, Mody, Rajal K., Silk, Benjamin J., Beal, Jennifer, Chen, Yi, Timme, Ruth, Doyle, Matthew, Fields, Angela, Wise, Matthew, Tillman, Glenn, Defibaugh-Chavez, Stephanie, Kucerova, Zuzana, Sabol, Ashley, Roache, Katie, Trees, Eija, Simmons, Mustafa, Wasilenko, Jamie, Kubota, Kristy, Pouseele, Hannes, Klimke, William, Besser, John, Brown, Eric, Allard, Marc, and Gerner-Smidt, Peter

Published
2016

30. A systematic review of automated segmentation of 3D computed-tomography scans for volumetric body composition analysis

Author

Mai, DVC, Drami, I, Pring, T, Gould, L, Lung, P, Popuri, K, Mirza, B, Athanasiou, T, and Jenkins, JT

Abstract

INTRODUCTION Automated CT scan segmentation (labelling of pixels according to tissue type) is now possible. This technique is being adapted to achieve three-dimensional (3D) segmentation of computed tomography (CT) scans, opposed to single L3-slice alone. This systematic review evaluates feasibility and accuracy of automated segmentation of 3D CT scans for volumetric body composition (BC) analysis, as well as current limitations and pitfalls clinicians and researchers should be aware of. METHODS OVID Medline, Embase and grey literature databases up to October 2021 were searched. Original studies investigating automated SM, visceral and subcutaneous AT segmentation from CT were included. RESULTS Seven of 92 studies met inclusion criteria. Variation existed in expertise and numbers of humans performing ground-truth segmentations used to train algorithms. There was heterogeneity in patient characteristics, pathology and CT phases that segmentation algorithms were developed upon. Reporting of anatomical CT coverage varied, with confusing terminology. Six studies covered volumetric regional slabs rather than the whole body. One study stated the use of whole-body CT but it was not clear whether this truly meant head-to-fingertip-to-toe. Two studies used conventional computer algorithms. The latter five used deep learning (DL), an artificial intelligence technique where algorithms are similarly organised to brain neuronal pathways. Six of seven reported excellent segmentation performance (Dice similarity coefficients > 0.9 per tissue). Internal testing on unseen scans was performed for only four of seven algorithms, whilst only three were tested externally. Trained DL algorithms achieved full CT segmentation in 12 to 75 seconds versus 25 minutes for non-DL techniques. CONCLUSION Deep learning enables opportunistic, rapid, and automated volumetric BC analysis of CT performed for clinical indications. However, most CT scans do not cover head-to-fingertip-to-toe; further research must validate using common CT regions to estimate true whole-body BC, with direct comparison to single lumbar slice. Due to successes of DL, we expect progressive numbers of algorithms to materialize in addition to the seven discussed in this paper. Researchers and clinicians in the field of BC must therefore be aware of pitfalls. High Dice similarity coefficients do not inform the degree to which BC tissues may be under- or overestimated, and nor does it inform on algorithm precision. Consensus is needed fto define accuracy and precision standards for ground-truth labelling. Creation of a large international, multicentre common CT dataset with BC ground-truth labels from multiple experts could be a robust solution.

Published
2023

31. Feasibility and preliminary outcomes of intensive mindfulness and yoga on prisoners with personality disorders: A randomised controlled preliminary study

Author

Buric, I., Farias, M., Kurtev, S., Mulukom, V. van, Mee, C.J., Gould, L., Rehman, S., Parker, B., Brazil, I.A., Buric, I., Farias, M., Kurtev, S., Mulukom, V. van, Mee, C.J., Gould, L., Rehman, S., Parker, B., and Brazil, I.A.

Abstract

Item does not contain fulltext, This study was the first to test the feasibility of mind-body interventions with a randomised control research design in a sample that contains all ten types of personality disorders, and the first to provide a preliminary evaluation of responses using a combination of psychological, genomic, neural, and behavioural measures. Thirty prisoners with personality disorders were recruited within a clinical unit of a high security prison and assigned to a mindfulness intervention (n=10), a yoga intervention (n=10), or a wait-list control group (n=10). Both mindfulness and yoga interventions were held simultaneously and lasted three hours per day on five consecutive days. At baseline and after the intervention, we measured inflammation-related gene expression through venous blood; attention with a cognitive task; event-related potentials (ERPs) with EEG; and stress, emotion regulation and mindfulness with questionnaires. Here we show that recruitment and dropout rates were satisfactory, and data collection was successful despite its length and complexity. The only exception were blood samples where 60% of participants refused to give blood, but this was expected because 47% of recruited participants had a diagnosis of paranoid personality disorder. Unexpected difficulties occurred when participants did not fully adhere to randomisation procedures, and a riot took place during the final day of the interventions. This study was underpowered to detect changes on primary or secondary outcome measures, but despite that 80% of examined inflammation-related genes showed medium and large effect sizes suggesting this as an important outcome measure in future studies. Minor adjustments to the study design are necessary before a larger scale study can be conducted to precisely determine the effects of mindfulness and yoga as an additional treatment for prisoners with personality disorders.

Published
2023

34. Outbreaks of disease associated with food imported into the United States, 1996-2014

Author

Gould, L. Hannah, Kline, Jennifer, Monahan, Caitlin, and Vierk, Katherine

Subjects
United States. Food and Drug Administration -- International economic relations, United States. Centers for Disease Control and Prevention -- International economic relations, Food -- Supply and demand -- International trade, Animal behavior, Health
Abstract

Approximately 19% of food consumed in the United States is imported, including [approximately equal to] 97% of fish and shellfish, [approximately equal to] 50% of fresh fruits, and [approximately equal [...]

Published
2017
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39. Impact of a New York City Supportive Housing Program on Housing Stability and Preventable Health Care among Homeless Families

Author

Lim, Sungwoo, Singh, Tejinder P., Hall, Gerod, Walters, Sarah, and Gould, L. Hannah

Subjects
Health care industry, Health care reform -- Comparative analysis, Health care industry -- Comparative analysis, Substance abuse -- Comparative analysis
Abstract

Objective. To assess the impact of a New York City supportive housing program on housing stability and preventable emergency department (ED) visits/hospitalizations among heads of homeless families with mental and physical health conditions or substance use disorders. Data Sources. Multiple administrative data from New York City and New York State for 966 heads of families eligible for the program during 2007-12. Study Design. We captured housing events and health care service utilization during 2 years prior to the first program eligibility date (baseline) and 2 years postbaseline. We performed sequence analysis to measure housing stability and compared housing stability and preventable ED visits and hospitalizations between program participants (treatment group) and eligible applicants not placed in the program (comparison group) via marginal structural modeling. Data Collection/Extraction Methods. We matched electronically collected data. Principal Findings. Eighty-seven percent of supportive housing tenants experienced housing stability in 2 years postbaseline. Compared with unstably housed heads of families in the comparison group, those in the treatment group were 0.60 times as likely to make preventable ED visits postbaseline (95% CI = 0.38,0.96). Conclusions. Supportive housing placement was associated with improved housing stability and reduced preventable health care visits among homeless families. Key Words. Administrative data uses, homeless populations, Medicaid, Homelessness is associated with increased risk of emergency department (ED) visits and hospitalizations that might have been avoided with proper management of chronic conditions (Kushel et al. 2006; Bharel et [...]

Published
2018
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40. Supervisee Resistance. ERIC Digest.

Author

ERIC Clearinghouse on Counseling and Student Services, Greensboro, NC., Bradley, Loretta J., and Gould, L. J.

Abstract

This digest focuses on issues of supervisee resistance, defined as defensive behaviors of the supervisee that serve to reduce supervision-induced anxiety. It describes resistant behavior and identifies ways to counteract it, while noting that supervisee resistance is common. The purposes and goals of supervisee resistance, as manifested in verbal and nonverbal behaviors, are discussed and it is concluded that resistant behaviors, regardless of their form, are coping mechanisms intended to reduce anxiety created by the supervision. Supervisee "games" are identified and five types of resistance found in such games are noted: (1) submission; (2) turning the tables; (3) "I'm no good"; (4) helplessness; and (5) projection. Methods of counteracting resistance are suggested. The digest concludes that supervisee resistance will be encountered regardless of the supervisor's skill level, and that the supervisor can learn to take resistance and turn it into a supervisory advantage. Contains 8 references. (NB)

Published
1994

41. Adapting Survey Data Collection to Respond to the COVID-19 Pandemic: Experiences From a Local Health Department

Author

Seligson, Amber Levanon, Alroy, Karen A., Sanderson, Michael, Maleki, Ariana N., Fernandez, Steven, Aviles, April, Dumas, Sarah E., Perlman, Sharon E., Peebles, Kathryn, Norman, Christina C., Gwynn, R. Charon, and Gould, L. Hannah

Subjects
SARS-CoV-2, Social Determinants of Health, Health Status, Public Health, Environmental and Occupational Health, COVID-19, Covid-19 and Data Collection, Health Status Disparities, Mental Health, Seroepidemiologic Studies, Surveys and Questionnaires, Humans, New York City, Public Health, Pandemics
Abstract

The New York City (NYC) Department of Health and Mental Hygiene (“Health Department”) conducts routine surveys to describe the health of NYC residents. During the COVID-19 pandemic, the Health Department adjusted existing surveys and developed new ones to improve our understanding of the impact of the pandemic on physical health, mental health, and social determinants of health and to incorporate more explicit measures of racial inequities. The longstanding Community Health Survey was adapted in 2020 to ask questions about COVID-19 and recruit respondents for a population-based severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serosurvey. A new survey panel, Healthy NYC, was launched in June 2020 and is being used to collect data on COVID-19, mental health, and social determinants of health. In addition, 7 Health Opinion Polls were conducted from March 2020 through March 2021 to learn about COVID-19–related knowledge, attitudes, and opinions, including vaccine intentions. We describe the contributions that survey data have made to the emergency response in NYC in ways that address COVID-19 and the profound inequities of the pandemic. (Am J Public Health. 2021;111(12):2176–2185. https://doi.org/10.2105/AJPH.2021.306515 )

Published
2021
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45. Cost‐effectiveness of emergency versus delayed laparoscopic cholecystectomy for acute gallbladder pathology

Author

Sutton, A. J., Vohra, R. S., Hollyman, M., Marriott, P. J., Buja, A., Alderson, D., Pasquali, S., Griffiths, E. A., Vohra, R. S., Spreadborough, P., Hollyman, M., Marriott, P. J., Kirkham, A., Pasquali, S., Alderson, D., Griffiths, E. A., Fenwick, S., Elmasry, M., Nunes, Q. M., Kennedy, D., Khan, R. B., Khan, M. A. S., Magee, C. J., Jones, S. M., Mason, D., Parappally, C. P., Mathur, P., Saunders, M., Jamel, S., Ul Haque, S., Zafar, S., Shiwani, M. H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R. S., Watkin, H., Naumann, D., Emesih, S., Sarmah, P. B., Lee, K., Joji, N., Heath, J., Teasdale, R. L., Weerasinghe, C., Needham, P. J., Welbourn, H., Forster, L., Finch, D., Blazeby, J. M., Robb, W., McNair, A. G. K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C.‐B., Jayanthi, N. V. G., Noor, N., Dobbins, B., Cockbain, A. J., Nilsen‐Nunn, A., de Siqueira, J., Pellen, M., Cowley, J. B., Ho, W.‐M., Miu, V., White, T. J., Hodgkins, K. A., Kinghorn, A., Tutton, M. G., Al‐Abed, Y. A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L. J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S. J., McCallum, I. J. D., Jones, M. J., Elsayed, M., Tuck, E., Wayman, J., Carney, K., Aroori, S., Hosie, K. B., Kimble, A., Bunting, D.M., Fawole, A. S., Basheer, M., Dave, R. V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M. P., Gough, M., Wallace, T., Singh, S., Downing, J., Mockford, K. A., Issa, E., Shah, N., Chauhan, N., Wilson, T. R., Forouzanfar, A., Wild, J. R. L., Nofal, E., Bunnell, C., Madbak, K., Rao, S. T. V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J. C., Gould, L., Chambers, A., Rodriguez, D. U., Sen, G., Robinson, S., Carney, K., Bartlett, F., Rae, D. M., Stevenson, T. E. J., Sarvananthan, K., Dwerryhouse, S. J., Higgs, S. M., Old, O. J., Hardy, T. J., Shah, R., Hornby, S. T., Keogh, K., Frank, L., Al‐Akash, M., Upchurch, E. A., Frame, R. J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T. O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W. S., Fleming, K., Bajwa, D. S., Chitre, V., Aryal, K., Ferris, P., Silva, M., Lammy, S., Mohamed, S., Khawaja, A., Hussain, A., Ghazanfar, M. A., Bellini, M. I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Iqbal, L. G. N., Watson, N. F., Aggarwal, S. K., Orchard, P., Villatoro, E., Willson, P. D., Mok, J., Woodman, T., Deguara, J., Garcea, G., Babu, B. I., Dennison, A. R., Malde, D., Lloyd, D., Satheesan, S., Al‐Taan, O., Boddy, A., Slavin, J. P., Jones, R. P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M. M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S. R., Sampat, K., Oʼshea, K. M., Manu, M., Asprou, F. M., Malik, N. S., Chang, J., Johnstone, M., Lewis, M., Roberts, G. P., Karavadra, B., Photi, E., Hewes, J., Gould, L., Chambers, A., Rodriguez, D., OʼReilly, D. A., Rate, A. J., Sekhar, H., Henderson, L. T., Starmer, B. Z., Coe, P. O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A. E. J., Borowski, D. W., Hornsby, J., Courtney, M. J., Virupaksha, S., Seymour, K., Robinson, S., Hawkins, H., Bawa, S., Gallagher, P. V., Reid, A., Wood, P., Finch, J. G., Parmar, J., Stirland, E., Gardner‐Thorpe, J., Al‐Muhktar, A., Peterson, M., Majeed, A., Bajwa, F. M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D. R., Al‐Khyatt, W., Taylor, C., Bhandari, S., Chambers, A., Subramanium, D., Toh, S. K. C., Carter, N. C., Tate, S., Pearce, B., Wainwright, D., Mercer, S. J., Knight, B., Vijay, V., Alagaratnam, S., Sinha, S., Khan, S., El‐Hasani, S. S., Hussain, A. A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M. N., Chishti, I. A., Fordham, I. J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Shrestha, A. K., Basu, S., Mohan, A. C., Harilingam, M., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S. F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M. I., Ball, W. R., Wood, C. P. J., Pinho‐Gomes, A. C., Kausar, A., Obeidallah, M. R., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S. Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond‐Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M. R., Goh, Y. L., Turner, P., Shetty, V., Riera, M., Macano, C. A.W., Sukha, A., Preston, S. R., Hoban, J. R., Puntis, D. J., Williams, S. V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G. H., Smith, S. R., Hall, C., Carty, N., Ahmed, J., Panteleimonitis, S., Gunasekera, R. T., Sheel, A. R. G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., McGlone, E. R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D. A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C. R., Yeldham, G., Read, E., Gossage, J. A., Rolph, R. C., Ebied, H., Phull, M., Khan, M. A., Popplewell, M., Kyriakidis, D., Hussain, A., Henley, N., Packer, J. R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N. A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson‐Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Al Amari, K., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A. R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J. P., Pearson, K. L., Delisle, T. G., Davies, J., Tomlinson, M. A., Johnpulle, M. A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Mothe, B. S., Zafrani, Z., Brett, D., Francombe, J., Spreadborough, P., Barnes, J., Cheung, M., Al‐Bahrani, A. Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P. A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R. C., Hebbar, M., Farag, S. F., Spearman, J., Hamdan, M. F., DʼCosta, C., Blane, C., Giles, M., Peter, M. B., Hirst, N. A., Hossain, T., Pannu, A., El‐Dhuwaib, Y., Morrison, T. E. M., Taylor, G. W., Thompson, R. L. E., McCune, K., Loughlin, P., Lawther, R., Byrnes, C. K., Simpson, D. J., Mawhinney, A., Warren, C., McKay, D., McIlmunn, C., Martin, S., MacArtney, M., Diamond, T., Davey, P., Jones, C., Clements, J.M., Digney, R., Chan, W. M., McCain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., McAree, B., Ghareeb, E., Thomas, G., Connelly, M., McKenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A. D. K., Cassidy, J. T., Boland, M., Burke, P., Nally, D. M., Hill, A. D. K., Khogali, E., Shabo, W., Iskandar, E., McEntee, G. P., OʼNeill, M. A., Peirce, C., Lyons, E. M., OʼSullivan, A. W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D. C., Kelly, M. E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J. G., McDermott, F., Martin, S. T., Cross, K. S., Cooke, F., Zeeshan, S., Murphy, J. O., Mealy, K., Mohan, H. M., Nedujchelyn, Y., Ullah, M. F., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A. M., Vaughan, E. M., Ramage, M. I., Aldridge, R. C., Gibson, S., Nicholson, G. A., Vass, D. G., Grant, A. J., Holroyd, D. J., Jones, M. A., Sutton, C. M. L. R., OʼDwyer, P., Nilsson, F., Weber, B., Williamson, T. K., Lalla, K., Bryant, A., Carter, C. R., Forrest, C. R., Hunter, D. I., Nassar, A. H., Orizu, M. N., Knight, K., Qandeel, H., Suttie, S., Belding, R., McClarey, A., Boyd, A. T., Guthrie, G. J. K., Lim, P. J., Luhmann, A., Watson, A. J. M., Richards, C. H., Nicol, L., Madurska, M., Harrison, E., Boyce, K. M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M. S. J., Dalgaty, F., Fothergill, L., Driscoll, P. J., Mozolowski, K. L., Banwell, V., Bennett, S. P., Rogers, P. N., Skelly, B. L., Rutherford, C. L., Mirza, A. K., Lazim, T., Lim, H. C. C., Duke, D., Ahmed, T., Beasley, W. D., Wilkinson, M. D., Maharaj, G., Malcolm, C., Brown, T. H., Shingler, G. M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D. J., Baker, A. L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J. A., Singh‐Ranger, D., Hisham, E., Ainley, P., OʼNeill, S., Terrace, J., Napetti, S., Hopwood, B., Rhys, T., Downing, J., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Weber, B., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece‐Bolton, O., McGuigan, A., Shahin, Y., Ali, A., Luther, A., Nicholson, J. A., Rajendran, I., Boal, M., and Ritchie, J.

Published
2017
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