Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia

© Hockham et al. Severe forms of a-thalassaemia, haemoglobin H disease and haemoglobin Bart’s hydrops fetalis, are an important public health concern in Southeast Asia. Yet information on the prevalence, genetic diversity and health burden of a-thalassaemia in the region remains limited. We compiled...

Full description

Saved in:
Bibliographic Details
Main Authors: Carinna Hockham, Supachai Ekwattanakit, Samir Bhatt, Bridget S. Penman, Sunetra Gupta, Vip Viprakasit, Frédéric B. Piel
Other Authors: George Institute for Global Health
Format: Article
Published: 2020
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/50193
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.50193
record_format dspace
spelling th-mahidol.501932020-01-27T15:58:28Z Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia Carinna Hockham Supachai Ekwattanakit Samir Bhatt Bridget S. Penman Sunetra Gupta Vip Viprakasit Frédéric B. Piel George Institute for Global Health University of Oxford The University of Warwick Imperial College London Faculty of Medicine, Siriraj Hospital, Mahidol University Biochemistry, Genetics and Molecular Biology Immunology and Microbiology © Hockham et al. Severe forms of a-thalassaemia, haemoglobin H disease and haemoglobin Bart’s hydrops fetalis, are an important public health concern in Southeast Asia. Yet information on the prevalence, genetic diversity and health burden of a-thalassaemia in the region remains limited. We compiled a geodatabase of a-thalassaemia prevalence and genetic diversity surveys and, using geostatistical modelling methods, generated the first continuous maps of a-thalassaemia mutations in Thailand and sub-national estimates of the number of newborns with severe forms in 2020. We also summarised the current evidence-base for a-thalassaemia prevalence and diversity for the region. We estimate that 3595 (95% credible interval 1,717–6,199) newborns will be born with severe a-thalassaemia in Thailand in 2020, which is considerably higher than previous estimates. Accurate, fine-scale epidemiological data are necessary to guide sustainable national and regional health policies for a-thalassaemia management. Our maps and newborn estimates are an important first step towards this aim. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor’s assessment is that all the issues have been addressed (see decision letter). 2020-01-27T07:45:26Z 2020-01-27T07:45:26Z 2019-05-01 Article eLife. Vol.8, (2019) 10.7554/eLife.40580 2050084X 2-s2.0-85066470558 https://repository.li.mahidol.ac.th/handle/123456789/50193 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066470558&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
Immunology and Microbiology
spellingShingle Biochemistry, Genetics and Molecular Biology
Immunology and Microbiology
Carinna Hockham
Supachai Ekwattanakit
Samir Bhatt
Bridget S. Penman
Sunetra Gupta
Vip Viprakasit
Frédéric B. Piel
Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
description © Hockham et al. Severe forms of a-thalassaemia, haemoglobin H disease and haemoglobin Bart’s hydrops fetalis, are an important public health concern in Southeast Asia. Yet information on the prevalence, genetic diversity and health burden of a-thalassaemia in the region remains limited. We compiled a geodatabase of a-thalassaemia prevalence and genetic diversity surveys and, using geostatistical modelling methods, generated the first continuous maps of a-thalassaemia mutations in Thailand and sub-national estimates of the number of newborns with severe forms in 2020. We also summarised the current evidence-base for a-thalassaemia prevalence and diversity for the region. We estimate that 3595 (95% credible interval 1,717–6,199) newborns will be born with severe a-thalassaemia in Thailand in 2020, which is considerably higher than previous estimates. Accurate, fine-scale epidemiological data are necessary to guide sustainable national and regional health policies for a-thalassaemia management. Our maps and newborn estimates are an important first step towards this aim. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor’s assessment is that all the issues have been addressed (see decision letter).
author2 George Institute for Global Health
author_facet George Institute for Global Health
Carinna Hockham
Supachai Ekwattanakit
Samir Bhatt
Bridget S. Penman
Sunetra Gupta
Vip Viprakasit
Frédéric B. Piel
format Article
author Carinna Hockham
Supachai Ekwattanakit
Samir Bhatt
Bridget S. Penman
Sunetra Gupta
Vip Viprakasit
Frédéric B. Piel
author_sort Carinna Hockham
title Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
title_short Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
title_full Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
title_fullStr Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
title_full_unstemmed Estimating the burden of a-thalassaemia in Thailand using a comprehensive prevalence database for southeast Asia
title_sort estimating the burden of a-thalassaemia in thailand using a comprehensive prevalence database for southeast asia
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/50193
_version_ 1763497782852714496