Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017
Abstract Background Surveillance is a core component of an effective system to support malaria elimination. Poor surveillance data will prevent countries from monitoring progress towards elimination and targeting interventions to the last remaining at-risk places. An evaluation of the performance of...
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ftdoajarticles:oai:doaj.org/article:ac651ae924434179bae6c7ee29908a52 2023-05-15T15:16:40+02:00 Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 Christopher Lourenço Andrew J. Tatem Peter M. Atkinson Justin M. Cohen Deepa Pindolia Darlene Bhavnani Arnaud Le Menach 2019-09-01T00:00:00Z https://doi.org/10.1186/s12936-019-2960-2 https://doaj.org/article/ac651ae924434179bae6c7ee29908a52 EN eng BMC http://link.springer.com/article/10.1186/s12936-019-2960-2 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2960-2 1475-2875 https://doaj.org/article/ac651ae924434179bae6c7ee29908a52 Malaria Journal, Vol 18, Iss 1, Pp 1-11 (2019) Malaria Elimination Surveillance Surveillance system Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2019 ftdoajarticles https://doi.org/10.1186/s12936-019-2960-2 2022-12-31T13:53:07Z Abstract Background Surveillance is a core component of an effective system to support malaria elimination. Poor surveillance data will prevent countries from monitoring progress towards elimination and targeting interventions to the last remaining at-risk places. An evaluation of the performance of surveillance systems in 16 countries was conducted to identify key gaps which could be addressed to build effective systems for malaria elimination. Methods A standardized surveillance system landscaping was conducted between 2015 and 2017 in collaboration with governmental malaria programmes. Malaria surveillance guidelines from the World Health Organization and other technical bodies were used to identify the characteristics of an optimal surveillance system, against which systems of study countries were compared. Data collection was conducted through review of existing material and datasets, and interviews with key stakeholders, and the outcomes were summarized descriptively. Additionally, the cumulative fraction of incident infections reported through surveillance systems was estimated using surveillance data, government records, survey data, and other scientific sources. Results The landscaping identified common gaps across countries related to the lack of surveillance coverage in remote communities or in the private sector, the lack of adequate health information architecture to capture high quality case-based data, poor integration of data from other sources such as intervention information, poor visualization of generated information, and its lack of availability for making programmatic decisions. The median percentage of symptomatic cases captured by the surveillance systems in the 16 countries was estimated to be 37%, mostly driven by the lack of treatment-seeking in the public health sector (64%) or, in countries with large private sectors, the lack of integration of this sector within the surveillance system. Conclusions The landscaping analysis undertaken provides a clear framework through which to ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 18 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Malaria Elimination Surveillance Surveillance system Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Malaria Elimination Surveillance Surveillance system Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Christopher Lourenço Andrew J. Tatem Peter M. Atkinson Justin M. Cohen Deepa Pindolia Darlene Bhavnani Arnaud Le Menach Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
topic_facet |
Malaria Elimination Surveillance Surveillance system Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Surveillance is a core component of an effective system to support malaria elimination. Poor surveillance data will prevent countries from monitoring progress towards elimination and targeting interventions to the last remaining at-risk places. An evaluation of the performance of surveillance systems in 16 countries was conducted to identify key gaps which could be addressed to build effective systems for malaria elimination. Methods A standardized surveillance system landscaping was conducted between 2015 and 2017 in collaboration with governmental malaria programmes. Malaria surveillance guidelines from the World Health Organization and other technical bodies were used to identify the characteristics of an optimal surveillance system, against which systems of study countries were compared. Data collection was conducted through review of existing material and datasets, and interviews with key stakeholders, and the outcomes were summarized descriptively. Additionally, the cumulative fraction of incident infections reported through surveillance systems was estimated using surveillance data, government records, survey data, and other scientific sources. Results The landscaping identified common gaps across countries related to the lack of surveillance coverage in remote communities or in the private sector, the lack of adequate health information architecture to capture high quality case-based data, poor integration of data from other sources such as intervention information, poor visualization of generated information, and its lack of availability for making programmatic decisions. The median percentage of symptomatic cases captured by the surveillance systems in the 16 countries was estimated to be 37%, mostly driven by the lack of treatment-seeking in the public health sector (64%) or, in countries with large private sectors, the lack of integration of this sector within the surveillance system. Conclusions The landscaping analysis undertaken provides a clear framework through which to ... |
format |
Article in Journal/Newspaper |
author |
Christopher Lourenço Andrew J. Tatem Peter M. Atkinson Justin M. Cohen Deepa Pindolia Darlene Bhavnani Arnaud Le Menach |
author_facet |
Christopher Lourenço Andrew J. Tatem Peter M. Atkinson Justin M. Cohen Deepa Pindolia Darlene Bhavnani Arnaud Le Menach |
author_sort |
Christopher Lourenço |
title |
Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
title_short |
Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
title_full |
Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
title_fullStr |
Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
title_full_unstemmed |
Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
title_sort |
strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017 |
publisher |
BMC |
publishDate |
2019 |
url |
https://doi.org/10.1186/s12936-019-2960-2 https://doaj.org/article/ac651ae924434179bae6c7ee29908a52 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 18, Iss 1, Pp 1-11 (2019) |
op_relation |
http://link.springer.com/article/10.1186/s12936-019-2960-2 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2960-2 1475-2875 https://doaj.org/article/ac651ae924434179bae6c7ee29908a52 |
op_doi |
https://doi.org/10.1186/s12936-019-2960-2 |
container_title |
Malaria Journal |
container_volume |
18 |
container_issue |
1 |
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1766346972379217920 |