Literature DB >> 30563509

Mass drug administration for malaria elimination: do we understand the settings well enough?

Manuel W Hetzel1,2, Blaise Genton3,4,5.   

Abstract

Mass drug administration (MDA) of antimalarials has re-emerged as a recommended tool for interrupting malaria transmission, but evidence from low endemicity settings is scarce. A trial in Zanzibar found that two rounds of MDA made no significant impact on malaria incidence, and many questions on the optimal mode and setting for implementing MDA remain unanswered. A more thorough understanding of local sources and drivers of transmission, and a better toolbox for evaluating interventions in near-elimination settings are essential.Please see related research article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1202-8 .

Entities:  

Keywords:  Effectiveness; Low transmission; Malaria; Malaria elimination; Mass drug administration; Ongoing transmission

Mesh:

Substances:

Year:  2018        PMID: 30563509      PMCID: PMC6299650          DOI: 10.1186/s12916-018-1230-4

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


Background

As the World Health Organization reports stagnation in the fight against malaria [1], urgent efforts are needed to avoid the reversal of recent gains. In some places, this may mean increasing the coverage of vector control, such as long-lasting insecticidal nets (LLIN) and indoor residual spraying, or improving access to efficacious treatments, including for cases of Plasmodium vivax or artemisinin-resistant P. falciparum. Other places may have exhausted the available repertoire of standard tools, and complementary interventions are required to tackle ongoing transmission. In pre-elimination settings, low level transmission appears to be particularly difficult to tackle because interventions must be increasingly targeted, requiring a more thorough understanding of local patterns of transmission and a robust and adaptable health system [2]. Mass drug administration (MDA), the time-limited administration of antimalarial treatment to everyone at about the same time and at repeated intervals [1], has re-emerged as a recommended tool to accelerate the interruption of transmission in areas approaching elimination [3]. Easily applicable diagnostic tools are simply not yet sensitive enough to detect the last parasite; hence they leave large parts of the asymptomatic reservoir undetected [4]. Interestingly, the recommendation for MDA is based on weak evidence, particularly with regard to demonstrating impact in low endemic African settings [5], though modelling studies provide some theoretical guidance [6]. In a trial conducted in Zanzibar by Morris and colleagues [7], two rounds of MDA with dihydroartemisinin-piperaquine (DHAP) were used, plus a single low dose of primaquine (SLD PQ). The well-designed cluster-randomised trial found no impact on malaria incidence and only a marginal and transient effect on the prevalence of asymptomatic infections, as determined by polymerase chain reaction (PCR). These results are sobering, especially given that the setting appeared operationally conducive and a reasonable coverage level with DHAP was achieved, for which modelling suggested a notable impact [6]. Furthermore, while coverage with SLD PQ could have been higher, it is uncertain whether much better operational coverage could be achieved under routine programme conditions. The authors attribute the lack of impact to suboptimal timing (during rather than before the peak malaria season), a possibly insufficient number of MDA rounds, and the importance of importation of infections. In the context of the latter, it is misleading to refer to their outcome as “transmission” because this is not what was assessed. Measuring transmission in near-elimination settings remains a unique challenge; therefore – as in the study by Morris et al. – proxy measures are applied [8]. However, in Zanzibar and similar settings, the relative contributions of local transmission and imported infections remain an important factor of uncertainty, despite several previous investigations, and the reliability of routinely reported travel history is unclear [9]. The measurement of adherence using blood concentration of piperaquine in intervention areas (as was done in the study by Morris et al.) is welcome because it is known that self-reporting of medication intake is unreliable [10, 11]. However, it would have been useful to measure the blood concentration of a variety of antimalarials in both intervention and control areas. Widespread unreported use of antimalarials (obtained from health facilities and private retailers) has been documented in Tanzania [11] and might have modified the effect of MDA rounds. The results from this study are nevertheless highly relevant. Firstly, they underline the importance and value of real-world data generated by well designed epidemiological and intervention studies to validate the prediction of models. Secondly, as transmission declines and heterogeneity increases, a thorough understanding of the target of malaria control efforts is required. This is particularly true in environments with a high transmission potential. In the study by Morris et al., prevalence by PCR differed considerably between intervention and control areas. It increased in intervention areas (from 0.8% to 1.7%) and decreased in control areas (from 2.5% to 1.4%), suggesting that the study did not capture important drivers of the local epidemiology. Thirdly, indicators for measuring the effect of interventions in low transmission settings must be carefully chosen. Small changes are difficult to detect, minor contextual fluctuations (and major ones, such as the redistribution of LLIN) may mask intervention effects, and sufficient detail is required to explain unexpected study outcomes. In such a context, it is particularly important – albeit difficult – to identify the source of local infections because not all may represent local transmission.

Conclusions

Many questions about the optimal mode and setting for implementing MDA remain unanswered. However, trials, such as the one by Morris et al., make a useful contribution to the evidence base on how to address ongoing transmission in near-elimination settings. Ideally, they would be complemented by more in-depth investigations of the drivers of local malaria epidemiology.
  9 in total

1.  Assessment of ultra-sensitive malaria diagnosis versus standard molecular diagnostics for malaria elimination: an in-depth molecular community cross-sectional study.

Authors:  Natalie E Hofmann; Maria Gruenberg; Elma Nate; Alice Ura; Daniela Rodriguez-Rodriguez; Mary Salib; Ivo Mueller; Thomas A Smith; Moses Laman; Leanne J Robinson; Ingrid Felger
Journal:  Lancet Infect Dis       Date:  2018-08-28       Impact factor: 25.071

2.  Travel risk, malaria importation and malaria transmission in Zanzibar.

Authors:  Arnaud Le Menach; Andrew J Tatem; Justin M Cohen; Simon I Hay; Heather Randell; Anand P Patil; David L Smith
Journal:  Sci Rep       Date:  2011-09-15       Impact factor: 4.379

Review 3.  Review of mass drug administration for malaria and its operational challenges.

Authors:  Gretchen Newby; Jimee Hwang; Kadiatou Koita; Ingrid Chen; Brian Greenwood; Lorenz von Seidlein; G Dennis Shanks; Laurence Slutsker; S Patrick Kachur; Jennifer Wegbreit; Matthew M Ippolito; Eugenie Poirot; Roly Gosling
Journal:  Am J Trop Med Hyg       Date:  2015-05-26       Impact factor: 2.345

4.  Appropriateness of malaria diagnosis and treatment for fever episodes according to patient history and anti-malarial blood measurement: a cross-sectional survey from Tanzania.

Authors:  Joanna Gallay; Dominic Mosha; Erick Lutahakana; Festo Mazuguni; Martin Zuakulu; Laurent Arthur Decosterd; Blaise Genton; Emilie Pothin
Journal:  Malar J       Date:  2018-05-21       Impact factor: 2.979

5.  A cluster randomised controlled trial of two rounds of mass drug administration in Zanzibar, a malaria pre-elimination setting-high coverage and safety, but no significant impact on transmission.

Authors:  Ulrika Morris; Mwinyi I Msellem; Humphrey Mkali; Atiqul Islam; Berit Aydin-Schmidt; Irina Jovel; Shija Joseph Shija; Mwinyi Khamis; Safia Mohammed Ali; Lamija Hodzic; Ellinor Magnusson; Eugenie Poirot; Adam Bennett; Michael C Sachs; Joel Tarning; Andreas Mårtensson; Abdullah S Ali; Anders Björkman
Journal:  BMC Med       Date:  2018-12-10       Impact factor: 8.775

6.  Residual antimalarials in malaria patients from Tanzania--implications on drug efficacy assessment and spread of parasite resistance.

Authors:  Eva Maria Hodel; Abdunoor Mulokozi Kabanywanyi; Aggrey Malila; Boris Zanolari; Thomas Mercier; Hans-Peter Beck; Thierry Buclin; Piero Olliaro; Laurent Arthur Decosterd; Blaise Genton
Journal:  PLoS One       Date:  2009-12-14       Impact factor: 3.240

Review 7.  malERA: An updated research agenda for malaria elimination and eradication.

Authors:  Regina N Rabinovich; Chris Drakeley; Abdoulaye A Djimde; B Fenton Hall; Simon I Hay; Janet Hemingway; David C Kaslow; Abdisalan Noor; Fredros Okumu; Richard Steketee; Marcel Tanner; Timothy N C Wells; Maxine A Whittaker; Elizabeth A Winzeler; Dyann F Wirth; Kate Whitfield; Pedro L Alonso
Journal:  PLoS Med       Date:  2017-11-30       Impact factor: 11.069

Review 8.  malERA: An updated research agenda for characterising the reservoir and measuring transmission in malaria elimination and eradication.

Authors: 
Journal:  PLoS Med       Date:  2017-11-30       Impact factor: 11.069

9.  Role of mass drug administration in elimination of Plasmodium falciparum malaria: a consensus modelling study.

Authors:  Oliver J Brady; Hannah C Slater; Peter Pemberton-Ross; Edward Wenger; Richard J Maude; Azra C Ghani; Melissa A Penny; Jaline Gerardin; Lisa J White; Nakul Chitnis; Ricardo Aguas; Simon I Hay; David L Smith; Erin M Stuckey; Emelda A Okiro; Thomas A Smith; Lucy C Okell
Journal:  Lancet Glob Health       Date:  2017-05-26       Impact factor: 38.927

  9 in total
  1 in total

1.  Mass drug administration can be a valuable addition to the malaria elimination toolbox.

Authors:  Thomas P Eisele
Journal:  Malar J       Date:  2019-08-22       Impact factor: 2.979

  1 in total

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