ORCID Profile
0000-0003-0709-484X
Current Organisations
London School of Hygiene and Tropical Medicine
,
The University of Edinburgh
,
University of Melbourne
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: F1000 Research Ltd
Date: 09-06-2020
Publisher: MDPI AG
Date: 23-04-2021
Publisher: Cambridge University Press (CUP)
Date: 2019
Publisher: International Union Against Tuberculosis and Lung Disease
Date: 10-2018
Publisher: Informa UK Limited
Date: 2017
Publisher: MDPI AG
Date: 25-12-2019
Publisher: Public Library of Science (PLoS)
Date: 08-09-2017
Publisher: MDPI AG
Date: 2020
Publisher: MDPI AG
Date: 26-12-2019
Publisher: Springer Science and Business Media LLC
Date: 02-05-2019
Publisher: Public Library of Science (PLoS)
Date: 21-11-2019
Publisher: Springer Science and Business Media LLC
Date: 12-2018
Publisher: Springer Science and Business Media LLC
Date: 2020
Publisher: International Union Against Tuberculosis and Lung Disease
Date: 21-12-2019
DOI: 10.5588/PHA.19.0011
Publisher: Elsevier BV
Date: 05-2018
DOI: 10.1016/J.IJID.2018.02.012
Abstract: We assessed the effect of an active case finding (ACF) project on tuberculosis (TB) case notification and the yields from a household and neigbourhood intervention (screening contacts of historical index TB patients diagnosed >24months ago) and a community intervention (screening attendants of health education sessions/mobile clinics). Cross-sectional analysis of project records, township TB registers and annual TB reports. In the household and neigbourhood intervention, of 56,709 people screened, 1,076 were presumptive TB and 74 patients were treated for active TB with a screening yield of 0.1% and a yield from presumptive cases of 6.9%. In the community intervention, of 162,881 people screened, 4,497 were presumptive TB and 984 were treated for active TB with a screening yield of 0.6% and yield from presumptive cases of 21.9%. Of active TB cases, 94% were new, 89% were pulmonary, 44% were bacteriologically-confirmed and 5% had HIV. Case notification rates per 100,000 in project townships increased from 142 during baseline (2011-2013) to 148 during intervention (2014-2016) periods. The yield from household and neigbourhood intervention was lower than community intervention. This finding highlights reconsidering the strategy of screening of contacts from historical index cases. Strategies to reach high-risk groups should be explored for future ACF interventions to increase yield of TB.
Publisher: Informa UK Limited
Date: 2017
Publisher: Elsevier BV
Date: 06-2020
Publisher: International Union Against Tuberculosis and Lung Disease
Date: 03-2019
Publisher: International Union Against Tuberculosis and Lung Disease
Date: 21-12-2018
DOI: 10.5588/PHA.18.0041
Publisher: Informa UK Limited
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 30-12-2016
DOI: 10.1007/S11948-016-9865-Z
Abstract: Over recent years, the issue of corruption in the public construction sector has attracted increasing attention from both practitioners and researchers worldwide. However, limited efforts are available for investigating the underlying factors of corruption in this sector. Thus, this study attempted to bridge this knowledge gap by exploring the underlying factors of corruption in the public construction sector of China. To achieve this goal, a total of 14 structured interviews were first carried out, and a questionnaire survey was then administered to 188 professionals in China. Two iterations of multivariate analysis approaches, namely, stepwise multiple regression analysis and partial least squares structural equation modeling were successively utilized to analyze the collected data. In addition, a case study was also conducted to triangulate the findings obtained from the statistical analysis. The results generated from these three research methods achieve the same conclusion: the most influential underlying factor leading to corruption was immorality, followed by opacity, unfairness, procedural violation, and contractual violation. This study has contributed to the body of knowledge by exploring the properties of corruption in the public construction sector. The findings from this study are also valuable to the construction authorities as they can assist in developing more effective anti-corruption strategies.
Publisher: Public Library of Science (PLoS)
Date: 20-12-2017
Publisher: Springer Science and Business Media LLC
Date: 12-2019
Publisher: Public Library of Science (PLoS)
Date: 18-06-2020
Publisher: Oxford University Press (OUP)
Date: 04-2019
DOI: 10.1093/OFID/OFZ143
Publisher: Public Library of Science (PLoS)
Date: 09-02-2017
Publisher: Vilnius Gediminas Technical University
Date: 12-10-2018
DOI: 10.3846/20294913.2017.1303648
Abstract: Being an insidious risk to construction projects, collusion has attracted extensive attention from numerous researchers around the world. However, little effort has ever been made to assess collusion, which is important and necessary for curbing collusion in construction projects. Specific to the context of China, this paper developed an artificial neural network model to assess collusion risk in construction projects. Based on a comprehensive literature review, a total of 22 specific collusive practices were identified first, and then refined by a two-round Delphi interview with 15 experienced experts. Subsequently, using the consolidated framework of collusive practices, a questionnaire was further developed and disseminated, which received 97 valid replies. The questionnaire data were then utilized to develop and validate the collusion risk assessment model with the facilitation of artificial neural network approach. The developed model was finally applied in a real-life metro project in which its reliability and applicability were both verified. Although the model was developed under the context of Chinese construction projects, its developing strategy can be applied in other countries, especially for those emerging economies that have a significant concern of collusion in their construction sectors, and thus contributing to the global body of knowledge of collusion.
Publisher: F1000 Research Ltd
Date: 06-01-2020
Publisher: F1000 Research Ltd
Date: 28-07-2021
Publisher: International Union Against Tuberculosis and Lung Disease
Date: 21-12-2018
DOI: 10.5588/PHA.18.0056
Publisher: Oxford University Press (OUP)
Date: 28-12-2018
DOI: 10.1093/OFID/OFY355
Publisher: Public Library of Science (PLoS)
Date: 29-03-2018
Location: Myanmar
Location: Myanmar
Location: Myanmar
Location: United Kingdom of Great Britain and Northern Ireland
Location: France
Location: United Kingdom of Great Britain and Northern Ireland
Location: No location found
No related grants have been discovered for Khine Wut Yee Kyaw.