Surveillance as a Core Intervention to Strengthen Malaria Control Programs in Moderate to High Transmission Settings.


Journal

The American journal of tropical medicine and hygiene
ISSN: 1476-1645
Titre abrégé: Am J Trop Med Hyg
Pays: United States
ID NLM: 0370507

Informations de publication

Date de publication:
02 02 2023
Historique:
received: 07 03 2022
accepted: 11 04 2022
pubmed: 28 7 2022
medline: 4 2 2023
entrez: 27 7 2022
Statut: epublish

Résumé

New tools are needed for malaria control, and recent improvements in malaria surveillance have opened the possibility of transforming surveillance into a core intervention. Implementing this strategy can be challenging in moderate to high transmission settings. However, there is a wealth of practical experience among national malaria control programs and partners working to improve and use malaria surveillance data to guide programming. Granular and timely data are critical to understanding geographic heterogeneity, appropriately defining and targeting interventions packages, and enabling timely decision-making at the operational level. Resources to be targeted based on surveillance data include vector control, case management commodities, outbreak responses, quality improvement interventions, and human resources, including community health workers, as they contribute to a more refined granularity of the surveillance system. Effectively transforming malaria surveillance into a core intervention will require strong global and national leadership, empowerment of subnational and local leaders, collaboration among development partners, and global coordination. Ensuring that national health systems include community health work can contribute to a successful transformation. It will require a strong supply chain to ensure that all suspected cases can be diagnosed and data reporting tools including appropriate electronic devices to provide timely data. Regular data quality audits, decentralized implementation, supportive supervision, data-informed decision-making processes, and harnessing technology for data analysis and visualization are needed to improve the capacity for data-driven decision-making at all levels. Finally, resources must be available to respond programmatically to these decisions.

Identifiants

pubmed: 35895588
doi: 10.4269/ajtmh.22-0181
pmc: PMC9904156
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8-13

Références

Am J Trop Med Hyg. 2017 Sep;97(3_Suppl):9-19
pubmed: 28990923
Malar J. 2013 Apr 24;12:141
pubmed: 23617722
Malar J. 2018 Jun 1;17(1):221
pubmed: 29859093
PLoS Comput Biol. 2021 Mar 1;17(3):e1008669
pubmed: 33647029
Malar J. 2020 Feb 18;19(1):75
pubmed: 32070357

Auteurs

Alison Fountain (A)

Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.

Yazoume Ye (Y)

ICF, Rockville, Maryland.

Arantxa Roca-Feltrer (A)

Malaria Consortium, London, United Kingdom.

Alexander K Rowe (AK)

The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.

Alioune Camara (A)

National Malaria Control Program, Conakry, Guinea.

Aissata Fofana (A)

Research Triangle International, Conakry, Guinea.

Balthazar Candrinho (B)

National Malaria Control Program, Maputo, Mozambique.

Busiku Hamainza (B)

National Malaria Elimination Centre, Lusaka, Zambia.

Medoune Ndiop (M)

National Malaria Control Program, Dakar, Senegal.

Richard Steketee (R)

Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
President's Malaria Initiative, Washington, District of Columbia.

Julie Thwing (J)

Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.

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Classifications MeSH