Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years

Background: Incomplete immunisation coverage causes preventable illness and death in both developing and developed countries. Identification of factors that might modulate coverage could inform effective immunisation programmes and policies. We constructed a performance indicator that could quantita...

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Main Authors: Alexandre de Figueiredo, MSc, Iain G Johnston, DPhil, David M D Smith, DPhil, Sumeet Agarwal, DPhil, Dr. Heidi J Larson, PhD, Dr. Nick S Jones, PhD
Format: Article
Language:English
Published: Elsevier 2016-10-01
Series:The Lancet Global Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2214109X1630167X
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spelling doaj-d084d28690a547679c9ec15bd066c9082020-11-25T01:33:50ZengElsevierThe Lancet Global Health2214-109X2016-10-01410e726e73510.1016/S2214-109X(16)30167-XForecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 yearsAlexandre de Figueiredo, MSc0Iain G Johnston, DPhil1David M D Smith, DPhil2Sumeet Agarwal, DPhil3Dr. Heidi J Larson, PhD4Dr. Nick S Jones, PhD5Department of Mathematics, Imperial College London, London, UKDepartment of Mathematics, Imperial College London, London, UKLondon School of Hygiene & Tropical Medicine, London, UKDepartment of Electrical Engineering, Indian Institute of Technology, New Delhi, IndiaLondon School of Hygiene & Tropical Medicine, London, UKDepartment of Mathematics, Imperial College London, London, UKBackground: Incomplete immunisation coverage causes preventable illness and death in both developing and developed countries. Identification of factors that might modulate coverage could inform effective immunisation programmes and policies. We constructed a performance indicator that could quantitatively approximate measures of the susceptibility of immunisation programmes to coverage losses, with an aim to identify correlations between trends in vaccine coverage and socioeconomic factors. Methods: We undertook a data-driven time-series analysis to examine trends in coverage of diphtheria, tetanus, and pertussis (DTP) vaccination across 190 countries over the past 30 years. We grouped countries into six world regions according to WHO classifications. We used Gaussian process regression to forecast future coverage rates and provide a vaccine performance index: a summary measure of the strength of immunisation coverage in a country. Findings: Overall vaccine coverage increased in all six world regions between 1980 and 2010, with variation in volatility and trends. Our vaccine performance index identified that 53 countries had more than a 50% chance of missing the Global Vaccine Action Plan (GVAP) target of 90% worldwide coverage with three doses of DTP (DTP3) by 2015. These countries were mostly in sub-Saharan Africa and south Asia, but Austria and Ukraine also featured. Factors associated with DTP3 immunisation coverage varied by world region: personal income (Spearman's ρ=0·66, p=0·0011) and government health spending (0·66, p<0·0001) were informative of immunisation coverage in the Eastern Mediterranean between 1980 and 2010, whereas primary school completion was informative of coverage in Africa (0·56, p<0·0001) over the same period. The proportion of births attended by skilled health staff correlated significantly with immunisation coverage across many world regions. Interpretation: Our vaccine performance index highlighted countries at risk of failing to achieve the GVAP target of 90% coverage by 2015, and could aid policy makers' assessments of the strength and resilience of immunisation programmes. Weakening correlations with socioeconomic factors show a need to tackle vaccine confidence, whereas strengthening correlations point to clear factors to address. Funding: UK Engineering and Physical Sciences Research Council.http://www.sciencedirect.com/science/article/pii/S2214109X1630167X
collection DOAJ
language English
format Article
sources DOAJ
author Alexandre de Figueiredo, MSc
Iain G Johnston, DPhil
David M D Smith, DPhil
Sumeet Agarwal, DPhil
Dr. Heidi J Larson, PhD
Dr. Nick S Jones, PhD
spellingShingle Alexandre de Figueiredo, MSc
Iain G Johnston, DPhil
David M D Smith, DPhil
Sumeet Agarwal, DPhil
Dr. Heidi J Larson, PhD
Dr. Nick S Jones, PhD
Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
The Lancet Global Health
author_facet Alexandre de Figueiredo, MSc
Iain G Johnston, DPhil
David M D Smith, DPhil
Sumeet Agarwal, DPhil
Dr. Heidi J Larson, PhD
Dr. Nick S Jones, PhD
author_sort Alexandre de Figueiredo, MSc
title Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
title_short Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
title_full Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
title_fullStr Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
title_full_unstemmed Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
title_sort forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years
publisher Elsevier
series The Lancet Global Health
issn 2214-109X
publishDate 2016-10-01
description Background: Incomplete immunisation coverage causes preventable illness and death in both developing and developed countries. Identification of factors that might modulate coverage could inform effective immunisation programmes and policies. We constructed a performance indicator that could quantitatively approximate measures of the susceptibility of immunisation programmes to coverage losses, with an aim to identify correlations between trends in vaccine coverage and socioeconomic factors. Methods: We undertook a data-driven time-series analysis to examine trends in coverage of diphtheria, tetanus, and pertussis (DTP) vaccination across 190 countries over the past 30 years. We grouped countries into six world regions according to WHO classifications. We used Gaussian process regression to forecast future coverage rates and provide a vaccine performance index: a summary measure of the strength of immunisation coverage in a country. Findings: Overall vaccine coverage increased in all six world regions between 1980 and 2010, with variation in volatility and trends. Our vaccine performance index identified that 53 countries had more than a 50% chance of missing the Global Vaccine Action Plan (GVAP) target of 90% worldwide coverage with three doses of DTP (DTP3) by 2015. These countries were mostly in sub-Saharan Africa and south Asia, but Austria and Ukraine also featured. Factors associated with DTP3 immunisation coverage varied by world region: personal income (Spearman's ρ=0·66, p=0·0011) and government health spending (0·66, p<0·0001) were informative of immunisation coverage in the Eastern Mediterranean between 1980 and 2010, whereas primary school completion was informative of coverage in Africa (0·56, p<0·0001) over the same period. The proportion of births attended by skilled health staff correlated significantly with immunisation coverage across many world regions. Interpretation: Our vaccine performance index highlighted countries at risk of failing to achieve the GVAP target of 90% coverage by 2015, and could aid policy makers' assessments of the strength and resilience of immunisation programmes. Weakening correlations with socioeconomic factors show a need to tackle vaccine confidence, whereas strengthening correlations point to clear factors to address. Funding: UK Engineering and Physical Sciences Research Council.
url http://www.sciencedirect.com/science/article/pii/S2214109X1630167X
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