Browsing by Author "Byass, Peter"

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The case for verbal autopsy in health systems strengthening
(2017-01-01) D'Ambruoso, Lucia; Boerma, Ties; Byass, Peter; Fottrell, Edward; Herbst, Kobus; Källander, Karin; Mullan, Zoë; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Centre for Global Development; University of Aberdeen.Education
Collective reflections on the first cycle of a collaborative learning platform to strengthen rural primary health care in Mpumalanga, South Africa
(2021-12) Van Der Merwe, Maria Susara; D'Ambruoso, Lucia; Witter, Sophie; Twine, Rhian; Mabetha, Denny; Hove, Jennifer; Byass, Peter; Tollman, Stephen; Kahn, Kathleen; University of Aberdeen.Centre for Health Data Science; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Aberdeen Centre for Health Data Science
Community perspectives on HIV, violence and health surveillance in rural South Africa : a participatory pilot study
(2016-06) Hullur, Nitya; D'Ambruoso, Lucia; Edin, Kerstin; Wagner, Ryan G.; Ngobeni, Sizzy; Kahn, Kathleen; Tollman, Stephen; Byass, Peter; University of Aberdeen.Centre for Global Development; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Education
Eco-epidemiological assessment of the COVID-19 epidemic in China, January–February 2020
(2020-12-31) Byass, Peter; University of Aberdeen.Other Applied Health Sciences
External injuries, trauma and avoidable deaths in Agincourt, South Africa : a retrospective observational and qualitative study
(2019-06) Edem, Idara J; Dare, Anna J; Byass, Peter; D'Ambruoso, Lucia; Kahn, Kathleen; Leather, Andy J M; Tollman, Stephen; Whitaker, John; Davies, Justine; University of Aberdeen.Aberdeen Centre for Health Data Science; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences
Initiating a participatory action research process in the Agincourt health and socio–demographic surveillance site
(2017-06) Wariri, Oghenebrume; D'Ambruoso, Lucia; Twine, Rhian; Ngobeni, Sizzy; Van Der Merwe, Maria; Spies, Barry; Kahn, Kathleen; Tollman, Stephen; Wagner, Ryan G; Byass, Peter; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Centre for Global Development; University of Aberdeen.Education
An integrated approach to processing WHO-2016 verbal autopsy data : the InterVA-5 model
(2019-05-30) Byass, Peter; Hussain-Alkhateeb, Laith; D'Ambruoso, Lucia; Clark, Samuel; Davies, Justine; Fottrell, Edward; Bird, Jon; Kabudula, Chodziwadziwa; Tollman, Stephen; Kahn, Kathleen; Schiöler, Linus; Petzold, Max; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Aberdeen Centre for Health Data Science
Introducing visual participatory methods to develop local knowledge on HIV in rural South Africa
(2017-09-28) Brooks, Chloe; D'Ambruoso, Lucia; Kazimierczak, Karolina; Ngobeni, Sizzy; Twine, Rhian; Tollman, Stephen; Kahn, Kathleen; Byass, Peter; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Business Management; University of Aberdeen.Centre for Global Development; University of Aberdeen.Education
Mortality trends and access to care for cardiovascular diseases in Agincourt, rural South Africa : a mixed methods analysis of verbal autopsy data
(2021-06-30) Newberry Le Vay, Jessica; Fraser, Andrew; Byass, Peter; Tollman, Stephen; Kahn, Kathleen; D'Ambruoso, Lucia; Davies, Justine I; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Centre for Health Data Science; University of Aberdeen.Aberdeen Centre for Health Data Science
Moving from medical to health systems classifications of deaths : extending verbal autopsy to collect information on the circumstances of mortality
(2016-06-15) D'Ambruoso, Lucia; Kahn, Kathleen; Wagner, Ryan G.; Twine, Rhian; Spies, Barry; Van Der Merwe, Maria; Gomez-Olive, F. Xavier; Tollman, Stephen; Byass, Peter; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Centre for Global Development; University of Aberdeen.Education
Rethinking collaboration : developing a learning platform to address under-five mortality in Mpumalanga province, South Africa
(2019-07) D’Ambruoso, Lucia; van der Merwe, Maria; Wariri, Oghenebrume; Byass, Peter; Goosen, Gerhard; Kahn, Kathleen; Masinga, Sparara; Mokoena, Victoria; Spies, Barry; Tollman, Stephen; Witter, Sophie; Twine, Rhian; Verbal Autopsy with Participatory Action Research (VAPAR)/Wits/Mpumalanga Department of Health Learning Platform; University of Aberdeen.Aberdeen Centre for Health Data Science; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Life Sciences & Medicine
Revealing the burden of maternal mortality : a probabilistic model for determining pregnancy-related causes of death from verbal autopsies
(BioMed Central, 2007-02-08) Fottrell, Edward; Byass, Peter; Ouedraogo, Thomas W.; Tamini, Cecile; Gbangou, Adjima; Sombié, Issiaka; Högberg, Ulf; Witten, Karen H.; Bhattacharya, Sohinee; Desta, Teklay; Deganus, Sylvia; Tornui, Janet; Fitzmaurice, Ann E.; Meda, Nicolas; Graham, Wendy
Background: Substantial reductions in maternal mortality are called for in Millennium Development Goal 5 (MDG-5), thus assuming that maternal mortality is measurable. A key difficulty is attributing causes of death for the many women who die unaided in developing countries. Verbal autopsy (VA) can elicit circumstances of death, but data need to be interpreted reliably and consistently to serve as global indicators. Recent developments in probabilistic modelling of VA interpretation are adapted and assessed here for the specific circumstances of pregnancy-related death. Methods: A preliminary version of the InterVA-M probabilistic VA interpretation model was developed and refined with adult female VA data from several sources, and then assessed against 258 additional VA interviews from Burkina Faso. Likely causes of death produced by the model were compared with causes previously determined by local physicians. Distinction was made between free-text and closed-question data in the VA interviews, to assess the added value of free-text material on the model's output. Results: Following rationalisation between the model and physician interpretations, cause-specific mortality fractions were broadly similar. Case-by-case agreement between the model and any of the reviewing physicians reached approximately 60%, rising to approximately 80% when cases with a discrepancy were reviewed by an additional physician. Cardiovascular disease and malaria showed the largest differences between the methods, and the attribution of infections related to pregnancy also varied. The model estimated 30% of deaths to be pregnancy-related, of which half were due to direct causes. Data derived from free-text made no appreciable difference. Conclusion: InterVA-M represents a potentially valuable new tool for measuring maternal mortality in an efficient, consistent and standardised way. Further development, refinement and validation are planned. It could become a routine tool in research and service settings where levels and changes in pregnancy-related deaths need to be measured, for example in assessing progress towards MDG-5.
Time-critical conditions : assessment of burden and access to care using verbal autopsy in Agincourt, South Africa
(2020) Fraser, Andrew; Newberry Le Vay, Jessica; Byass, Peter; Tollman, Stephen; Kahn, Kathleen; D'Ambruoso, Lucia; Davies, Justine I.; University of Aberdeen.Aberdeen Centre for Evaluation; University of Aberdeen.Applied Medicine; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Centre for Health Data Science; University of Aberdeen.Institute of Applied Health Sciences; University of Aberdeen.Aberdeen Centre for Health Data Science
Towards elimination of maternal deaths : maternal deaths surveillance and response
(2013-01-02) Hounton, Sennen; de Bernis, Luc; Hussein, Julia; Graham, Wendy J; Danel, Isabella; Byass, Peter; Mason, Elizabeth M; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Medicine, Medical Sciences & Nutrition; University of Aberdeen.Life Sciences & Medicine
Understanding non-communicable diseases : combining health surveillance with local knowledge to improve rural primary health care in South Africa
(2021) Cowan, Eilidh; D'Ambruoso, Lucia; Van Der Merwe, Maria; Witter, Sophie; Byass, Peter; Ameh, Soter; Wagner, Ryan; Twine, Rhian; University of Aberdeen.Centre for Health Data Science; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Aberdeen Centre for Health Data Science
“Water is life” : developing community participation for clean water in rural South Africa
(2019-06) Hove, Jennifer; D'Ambruoso, Lucia; Mabetha, Denny; Van Der Merwe, Maria; Byass, Peter; Kahn, Kathleen; Khoza, Sonto; Witter, Sophie; Twine, Rhian; Verbal Autopsy with Participatory Action Research; University of Aberdeen.Aberdeen Centre for Health Data Science; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Institute of Applied Health Sciences
Who needs cause-of-death data?
(2007-11-20) Byass, Peter; University of Aberdeen.Other Applied Health Sciences