399 research outputs found
Survey and qualitative study of the impact of COVID-19 public health measures on people living in Thailand, Malaysia, Italy, United Kingdom and Slovenia (SEBCOV study)
No full textThis set of slides was presented by Professor Phaik Yeong Cheah on behalf of the International SEBCOV team at the International Pandemic Sciences Conference, 10 & 11th July 2023 in Oxford. These slides contain a summary of the following publications arising from the SEBCOV study.
1.SEBCOV study protocol: Pan-ngum W, Poomchaichote T, Cuman G et al. Social, ethical and behavioural aspects of COVID-19. Wellcome Open Research 2020, 5:90
2.Cross-country quantitative results: Osterrieder A, Cuman G, Pan-Ngum W, et al. Economic and social impacts of COVID-19 and public health measures: results from an anonymous online survey in Thailand, Malaysia, the UK, Italy and Slovenia. BMJ Open 2021;11:e046863. doi: 10.1136/bmjopen-2020-046863
3.Cross-country qualitative results: Schneiders ML, Naemiratch B, Cheah PK, Cuman G, Poomchaichote T, et al. (2022) The impact of COVID-19 non-pharmaceutical interventions on the lived experiences of people living in Thailand, Malaysia, Italy and the United Kingdom: A cross-country qualitative study. PLOS ONE 17(1): e0262421.
4.Thai quantitative results: Pan-ngum W, Poomchaichote T, Peerawaranun P et al. Perspectives on public health interventions in the management of the COVID-19 pandemic in Thailand [version 3; peer review: 2 approved]. Wellcome Open Research 2021, 5:245
5.Thai qualitative results: Naemiratch B, Schneiders ML, Poomchaichote T, Ruangkajorn S, Osterrieder A, et al. (2022) “Like a wake-up call for humankind”: Views, challenges, and coping strategies related to public health measures during the first COVID-19 lockdown in Thailand. PLOS Global Public Health 2(7): e0000723.
6.Malaysian qualitative results: Cheah, P.K., Jalloh, M.B., Cheah, PK. et al. Experiences, coping strategies and perspectives of people in Malaysia during the COVID-19 pandemic. BMC Public Health 23, 1085 (2023).
7.Malaysian quantitative results: Cheah, P. K., Cheah, P. K., Ongkili, D., Osterrieder , A., Poomchaichote , T., Waithira, N., Mukaka, M. and Cheah, P. Y. (2021) “COVID-19: Comparison of situational factors between healthcare workers and non-healthcare workers in East Malaysia”, Malaysian Journal of Public Health Medicine, 21(1), pp. 90-95
8.UK qualitative results: Schneiders ML, Mackworth-Young CRS and Cheah PY. Between division and connection: a qualitative study of the impact of COVID-19 restrictions on social relationships in the United Kingdom [version 1; peer review: 2 approved]. Wellcome Open Research 2022, 7:
Cyclooxygenase-2 (COX2) expression in adenocarcinoma surpasses that of squamous cell carcinoma in the uterine cervix
No full textOver the years, adenocarcinoma (ADC), which has a worse prognosis than squamous cell carcinoma (SCC) of the cervix, has shown an increasing trend. Cyclooxygenase-2 (COX2) expression which has been associated with worse prognosis in several solid cancers was studied for its association with SCC and ADC of the cervix. 35 histologically re-confirmed SCC and 35 ADC were immunohistochemically stained for COX2 using a mouse monoclonal antibody to COX2 (1:100Dako: Clone CX-294) on a Ventana Benchmark XT. The histoscore was computed as intensity of staining, semi-quantitated on a scale of 0-3 with 0 = negative, 1 = weak, 2 = moderate and 3 = strong staining intensitymultiplied by percentage of immunopositivity on a scale of 0-4 with 0
Data Repositories
No full text
Data Retention
Digital Repositories
Key elements in selecting a repository
How to deposit your data in a repository
This material was presented in the 'Data Management and Sharing workshop' in Ho Chi Minh City, Vietnam held 25th-27th September 2019.
Material to other topics covered in the workshop are listed below:
Introduction to data sharing: 10.5281/zenodo.3518692
Data sharing requirements: 10.5281/zenodo.3515731
Ethics and data sharing: 10.5281/zenodo.3518542
Data governance and policies: 10.5281/zenodo.3518719
Introduction to data management: 10.5281/zenodo.3518710
Data Quality: 10.5281/zenodo.3518743
Preparing datasets for sharing: 10.5281/zenodo.3518735
Addressing barriers to data reuse: the FAIR Principles- 10.5281/zenodo.3518689
Our story: Data Sharing at Oxford University Clinical Research Unit: 10.5281/zenodo.3518546
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Introduction to Data Management
No full textAn overview of data management in biomedical research. We discuss stages of the data life cycle (design, collection, curation, storage and archiving) and provide practical guidance in: creating a data management and sharing plan, data standards and data documentation.
This material was presented in the 'Data Management and Sharing workshop' in Ho Chi Minh City, Vietnam held 25th-27th September 2019.
Material to other topics covered in the workshop are listed below:
Introduction to data sharing: 10.5281/zenodo.3518692
Data sharing requirements: 10.5281/zenodo.3515731
Ethics and data sharing: 10.5281/zenodo.3518542
Data governance and policies: 10.5281/zenodo.3518719
Data Quality: 10.5281/zenodo.3518743
Preparing datasets for sharing: 10.5281/zenodo.3518735
Addressing barriers to data reuse: the FAIR Principles- 10.5281/zenodo.3518689
Data repositories: 10.5281/zenodo.3518753
Our story: Data Sharing at Oxford University Clinical Research Unit: 10.5281/zenodo.3518546
</ul
Data Quality
No full textEnsuring data quality in biomedical research.
This material was presented in the 'Data Management and Sharing workshop' in Ho Chi Minh City, Vietnam held 25th-27th September 2019.
Material to other topics covered in the workshop are listed below:
Introduction to data sharing: 10.5281/zenodo.3518692
Data sharing requirements: 10.5281/zenodo.3515731
Ethics and data sharing: 10.5281/zenodo.3518542
Data governance and policies: 10.5281/zenodo.3518719
Introduction to data management: 10.5281/zenodo.3518710
Preparing datasets for sharing: 10.5281/zenodo.3518735
Addressing barriers to data reuse: the FAIR Principles- 10.5281/zenodo.3518689
Data repositories: 10.5281/zenodo.3518753
Our story: Data Sharing at Oxford University Clinical Research Unit: 10.5281/zenodo.3518546
</ul
Addressing barriers to data reuse:the FAIR Principles
No full textSharing data is not enough- ability for other researchers and the wider public to access and reuse shared datasets is the promoter of science. In this presentation we discuss common barriers to data reuse and consider FAIR principles as potential solution to some barriers.
This material was presented in the 'Data Management and Sharing workshop' in Ho Chi Minh City, Vietnam held 25th-27th September 2019.
Material to other topics covered in the workshop are listed below:
Introduction to data sharing: 10.5281/zenodo.3518692
Data sharing requirements: 10.5281/zenodo.3515731
Ethics and data sharing: 10.5281/zenodo.3518542
Data governance and policies: 10.5281/zenodo.3518719
Introduction to data management: 10.5281/zenodo.3518710
Data Quality: 10.5281/zenodo.3518743
Preparing datasets for sharing: 10.5281/zenodo.3518735
Data repositories: 10.5281/zenodo.3518753
Our story: Data Sharing at Oxford University Clinical Research Unit: 10.5281/zenodo.3518546
</ul
Crowdfunding not fit for clinical trials.
No full textCrowdfunding can raise money quickly and with minimal bureaucracy. But it should not be considered as a way to finance clinical trials because of potential ethical implications
Antimalarial mass drug administration: ethical considerations
No full textFalciparum malaria is a major cause of death and illness in tropical countries, particularly in childhood. In endemic countries, a significant proportion of the community is infected with malaria asymptomatically. One promising way to eliminate malaria is to give the entire population malaria treatment. This is called mass drug administration (MDA) and it raises a number of ethical issues, as possible long-term benefits are uncertain. The effectiveness of MDA is critically dependent on level of participation, so the promised benefits to the community can be annulled by non-participation of a small number of individuals. These potential benefits range a wide spectrum, from the permanent elimination of malaria (success) to a transient reduction in the prevalence of infection and the incidence of illness (failure). The drawbacks of MDA are: inconvenience, potential toxicity, loss of confidence in the elimination campaign, possible drug resistance (though highly unlikely), and the potential for a rebound of malaria illness (if immunity is lost and malaria is reintroduced later). Other ethical issues are related to balancing individual and public health interests, and potentially limiting individual autonomy by making MDA compulsory
Data Governance and Policies
No full text
Why does an institution need a data sharing policy?
What should a data sharing policy include?
Data Access Committees and managed access route
Recognition mechanisms for primary researchers
This material was presented in the 'Data Management and Sharing workshop' in Ho Chi Minh City, Vietnam held 25th-27th September 2019.
Material to other topics covered in the workshop are listed below:
Introduction to data sharing: 10.5281/zenodo.3518692
Data sharing requirements: 10.5281/zenodo.3515731
Ethics and data sharing: 10.5281/zenodo.3518542
Introduction to data management: 10.5281/zenodo.3518710
Data Quality: 10.5281/zenodo.3518743
Preparing datasets for sharing: 10.5281/zenodo.3518735
Addressing barriers to data reuse: the FAIR Principles- 10.5281/zenodo.3518689
Data repositories: 10.5281/zenodo.3518753
Our story: Data Sharing at Oxford University Clinical Research Unit: 10.5281/zenodo.3518546
</ul
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