Health systems and global progress towards malaria elimination, 2000–2016
Abstract Background As more countries progress towards malaria elimination, a better understanding of the most critical health system features for enabling and supporting malaria control and elimination is needed. Methods All available health systems data relevant for malaria control were collated f...
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ftdoajarticles:oai:doaj.org/article:967f1d228905426095eedb9cbba16529 2023-05-15T15:08:53+02:00 Health systems and global progress towards malaria elimination, 2000–2016 Maitreyi Sahu Fabrizio Tediosi Abdisalan M. Noor John J. Aponte Günther Fink 2020-04-01T00:00:00Z https://doi.org/10.1186/s12936-020-03208-6 https://doaj.org/article/967f1d228905426095eedb9cbba16529 EN eng BMC http://link.springer.com/article/10.1186/s12936-020-03208-6 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-020-03208-6 1475-2875 https://doaj.org/article/967f1d228905426095eedb9cbba16529 Malaria Journal, Vol 19, Iss 1, Pp 1-12 (2020) Malaria Health systems Elimination Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2020 ftdoajarticles https://doi.org/10.1186/s12936-020-03208-6 2022-12-31T10:27:13Z Abstract Background As more countries progress towards malaria elimination, a better understanding of the most critical health system features for enabling and supporting malaria control and elimination is needed. Methods All available health systems data relevant for malaria control were collated from 23 online data repositories. Principal component analysis was used to create domain specific health system performance measures. Multiple regression model selection approaches were used to identify key health systems predictors of progress in malaria control in the 2000–2016 period among 105 countries. Additional analysis was performed within malaria burden groups. Results There was large heterogeneity in progress in malaria control in the 2000–2016 period. In univariate analysis, several health systems factors displayed a strong positive correlation with reductions in malaria burden between 2000 and 2016. In multivariable models, delivery of routine services and hospital capacity were strongly predictive of reductions in malaria cases, especially in high burden countries. In low-burden countries approaching elimination, primary health center density appeared negatively associated with progress while hospital capacity was positively correlated with eliminating malaria. Conclusions The findings presented in this manuscript suggest that strengthening health systems can be an effective strategy for reducing malaria cases, especially in countries with high malaria burden. Potential returns appear particularly high in the area of service delivery. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 19 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Malaria Health systems Elimination Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Malaria Health systems Elimination Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Maitreyi Sahu Fabrizio Tediosi Abdisalan M. Noor John J. Aponte Günther Fink Health systems and global progress towards malaria elimination, 2000–2016 |
topic_facet |
Malaria Health systems Elimination Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background As more countries progress towards malaria elimination, a better understanding of the most critical health system features for enabling and supporting malaria control and elimination is needed. Methods All available health systems data relevant for malaria control were collated from 23 online data repositories. Principal component analysis was used to create domain specific health system performance measures. Multiple regression model selection approaches were used to identify key health systems predictors of progress in malaria control in the 2000–2016 period among 105 countries. Additional analysis was performed within malaria burden groups. Results There was large heterogeneity in progress in malaria control in the 2000–2016 period. In univariate analysis, several health systems factors displayed a strong positive correlation with reductions in malaria burden between 2000 and 2016. In multivariable models, delivery of routine services and hospital capacity were strongly predictive of reductions in malaria cases, especially in high burden countries. In low-burden countries approaching elimination, primary health center density appeared negatively associated with progress while hospital capacity was positively correlated with eliminating malaria. Conclusions The findings presented in this manuscript suggest that strengthening health systems can be an effective strategy for reducing malaria cases, especially in countries with high malaria burden. Potential returns appear particularly high in the area of service delivery. |
format |
Article in Journal/Newspaper |
author |
Maitreyi Sahu Fabrizio Tediosi Abdisalan M. Noor John J. Aponte Günther Fink |
author_facet |
Maitreyi Sahu Fabrizio Tediosi Abdisalan M. Noor John J. Aponte Günther Fink |
author_sort |
Maitreyi Sahu |
title |
Health systems and global progress towards malaria elimination, 2000–2016 |
title_short |
Health systems and global progress towards malaria elimination, 2000–2016 |
title_full |
Health systems and global progress towards malaria elimination, 2000–2016 |
title_fullStr |
Health systems and global progress towards malaria elimination, 2000–2016 |
title_full_unstemmed |
Health systems and global progress towards malaria elimination, 2000–2016 |
title_sort |
health systems and global progress towards malaria elimination, 2000–2016 |
publisher |
BMC |
publishDate |
2020 |
url |
https://doi.org/10.1186/s12936-020-03208-6 https://doaj.org/article/967f1d228905426095eedb9cbba16529 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 19, Iss 1, Pp 1-12 (2020) |
op_relation |
http://link.springer.com/article/10.1186/s12936-020-03208-6 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-020-03208-6 1475-2875 https://doaj.org/article/967f1d228905426095eedb9cbba16529 |
op_doi |
https://doi.org/10.1186/s12936-020-03208-6 |
container_title |
Malaria Journal |
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19 |
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1 |
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1766340156744269824 |