Literature DB >> 29893203

Malaria Elimination: Lessons from El Salvador.

Adam Bennett1, Jennifer L Smith1.   

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Year:  2018        PMID: 29893203      PMCID: PMC6085775          DOI: 10.4269/ajtmh.18-0390

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


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In this month’s American Journal of Tropical Medicine and Hygiene, the article by Burton et al.[1] documents factors associated with declines in malaria incidence in El Salvador over the past four decades and compares these trends with slower declines in El Salvador’s direct neighbors. At a time of flattening global funding for malaria elimination, sharing lessons learned from strong national programs is especially critical. Burton et al. describe three important areas that contributed to El Salvador’s success: 1) an early commitment to data-driven decision-making based on progressive stratification, 2) decentralization and community-based decision-making and provision of services, and 3) strong national leadership and sustained domestic financing. First, as in El Salvador, progressively focused, data-driven surveillance and response have long been the hallmark of successful malaria elimination programs. The recently updated World Health Organization framework for malaria elimination emphasizes the importance of programs adopting this approach as early as is feasible, by conducting progressive stratification exercises for operational planning.[2] El Salvador introduced an electronic malaria information system in 1990, which provided a basis to target intervention packages to specific geographies and populations. User-friendly electronic information systems and mobile technologies are increasingly available to malaria elimination programs to support rapid reporting of case data, incorporate data collected from case and foci investigations, and use these data for visualization and stratification.[3] In addition, advances in geostatistical modeling have allowed for the incorporation of incidence, prevalence, and related data into high-resolution maps of risk that can supplement health system data.[4] Mathematical modeling can further support programs by informing selection of the optimal intervention mixes within each stratum. Second, decentralization and expansion of community-based case management through a network of volunteer collaborators were likely essential to El Salvador’s success. In this setting, program decentralization increased local capacity of community health structures and facilitated rapid, data-driven decision-making by local authorities. Expanding access to early diagnosis and treatment within communities has been shown to reduce malaria transmission in other epidemiological settings.[5] Community-based surveillance in addition increases the spatial and temporal fidelity of data that can then be used for more refined decision-making and resource targeting.[6] The article highlights the combination of interventions El Salvador applied at very local levels based on these data, including integrated vector control and aggressive drug-based approaches targeted to the highest risk populations. Decentralized decision-making can introduce its own challenges, so it is important that accountability structures and oversight from higher levels of the health system are in place.[7] Importantly, in El Salvador, the volunteer collaborators have been integrated into the broader infectious disease control program as malaria transmission has declined, which should help to ensure sustainability and motivation. Finally, El Salvador consistently committed relatively larger amounts of domestic funding to malaria over the past thirty years compared with its neighbors. This stable funding environment provided the foundation for programmatic success, and results in El Salvador highlight the importance of national leadership and sustained political commitment to maintaining gains in control through to elimination. As the authors point out, El Salvador likely benefitted from its relatively small size and high degree of urbanization, but the fundamental principles underlying the El Salvador interventions and strategies have proven successful when applied in other settings.[7] Large declines in malaria incidence in China and Indonesia over the past decade have resulted from similar commitments to aggressive surveillance and response and decentralized decision-making.[8] Challenges remain that could threaten progress toward malaria elimination in El Salvador and other countries in the region, including political instability, high rates of population movement, waning financial support, and loss of programmatic expertise over time. In addition to efforts by national programs, regionally coordinated efforts will be needed to mitigate these threats. The Initiative for Elimination in Mesoamerica and Hispaniola is an initiative that presents an opportunity to address cross-border issues and other regional challenges[9] and ensure that lessons learned from El Salvador’s success are replicated. It is critical that platforms such as these are supported to provide a mechanism for maintaining regional momentum following national successes.
  8 in total

1.  Malaria elimination in Indonesia: halfway there.

Authors:  Vensya Sitohang; Elvieda Sariwati; Sri Budi Fajariyani; Dasom Hwang; Bayu Kurnia; Ratih Ketana Hapsari; Ferdinand Johannis Laihad; Maria Endang Sumiwi; Paul Pronyk; William A Hawley
Journal:  Lancet Glob Health       Date:  2018-04-24       Impact factor: 26.763

Review 2.  Prospects for malaria elimination in Mesoamerica and Hispaniola.

Authors:  Sócrates Herrera; Sergio Andrés Ochoa-Orozco; Iveth J González; Lucrecia Peinado; Martha L Quiñones; Myriam Arévalo-Herrera
Journal:  PLoS Negl Trop Dis       Date:  2015-05-14

Review 3.  Information systems to support surveillance for malaria elimination.

Authors:  Colin Ohrt; Kathryn W Roberts; Hugh J W Sturrock; Jennifer Wegbreit; Bruce Y Lee; Roly D Gosling
Journal:  Am J Trop Med Hyg       Date:  2015-05-26       Impact factor: 2.345

4.  Novel approaches to risk stratification to support malaria elimination: an example from Cambodia.

Authors:  Jonathan Cox; Siv Sovannaroth; Lek Dy Soley; Pengby Ngor; Steven Mellor; Arantxa Roca-Feltrer
Journal:  Malar J       Date:  2014-09-19       Impact factor: 2.979

5.  Effect of generalised access to early diagnosis and treatment and targeted mass drug administration on Plasmodium falciparum malaria in Eastern Myanmar: an observational study of a regional elimination programme.

Authors:  Jordi Landier; Daniel M Parker; Aung Myint Thu; Khin Maung Lwin; Gilles Delmas; François H Nosten
Journal:  Lancet       Date:  2018-04-24       Impact factor: 202.731

6.  The central role of national programme management for the achievement of malaria elimination: a cross case-study analysis of nine malaria programmes.

Authors:  Cara Smith Gueye; Gretchen Newby; Jim Tulloch; Laurence Slutsker; Marcel Tanner; Roland D Gosling
Journal:  Malar J       Date:  2016-09-22       Impact factor: 2.979

Review 7.  Mapping multiple components of malaria risk for improved targeting of elimination interventions.

Authors:  Justin M Cohen; Arnaud Le Menach; Emilie Pothin; Thomas P Eisele; Peter W Gething; Philip A Eckhoff; Bruno Moonen; Allan Schapira; David L Smith
Journal:  Malar J       Date:  2017-11-13       Impact factor: 2.979

8.  Factors Associated with the Rapid and Durable Decline in Malaria Incidence in El Salvador, 1980-2017.

Authors:  Robert A Burton; José Eduardo Romero Chévez; Mauricio Sauerbrey; Caterina Guinovart; Angela Hartley; Geoffrey Kirkwood; Matthew Boslego; Mirna Elizabeth Gavidia; Jaime Enrique Alemán Escobar; Rachel Turkel; Richard W Steketee; Laurence Slutsker; Kammerle Schneider; Carlos C Kent Campbell
Journal:  Am J Trop Med Hyg       Date:  2018-05-10       Impact factor: 2.345

  8 in total
  1 in total

1.  Long-term transmission patterns and public health policies leading to malaria elimination in Panamá.

Authors:  Lisbeth Hurtado; Alberto Cumbrera; Chystrie Rigg; Milixa Perea; Ana María Santamaría; Luis Fernando Chaves; Dianik Moreno; Luis Romero; Jose Lasso; Lorenzo Caceres; Azael Saldaña; Jose E Calzada
Journal:  Malar J       Date:  2020-07-23       Impact factor: 2.979

  1 in total

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