Spatio-temporal mapping of Madagascar’s Malaria Indicator Survey results to assess Plasmodium falciparum endemicity trends between 2011 and 2016 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Su Yun Kang, Katherine E. Battle, Harry S. Gibson, Arsène Ratsimbasoa, Milijaona Randrianarivelojosia, Stéphanie Ramboarina, Peter A. Zimmerman, Daniel J. Weiss, Ewan Cameron, Peter W. Gething, Rosalind E. Howes

ABSTRACT

BACKGROUND: Reliable measures of disease burden over time are necessary to evaluate the impact of interventions and assess sub-national trends in the distribution of infection. Three Malaria Indicator Surveys (MISs) have been conducted in Madagascar since 2011. They provide a valuable resource to assess changes in burden that is complementary to the country's routine case reporting system. METHODS: A Bayesian geostatistical spatio-temporal model was developed in an integrated nested Laplace approximation framework to map the prevalence of Plasmodium falciparum malaria infection among children from 6 to 59 months in age across Madagascar for 2011, 2013 and 2016 based on the MIS datasets. The model was informed by a suite of environmental and socio-demographic covariates known to influence infection prevalence. Spatio-temporal trends were quantified across the country. RESULTS: Despite a relatively small decrease between 2013 and 2016, the prevalence of malaria infection has increased substantially in all areas of Madagascar since 2011. In 2011, almost half (42.3%) of the country's population lived in areas of very low malaria risk (<1% parasite prevalence), but by 2016, this had dropped to only 26.7% of the population. Meanwhile, the population in high transmission areas (prevalence >20%) increased from only 2.2% in 2011 to 9.2% in 2016. A comparison of the model-based estimates with the raw MIS results indicates there was an underestimation of the situation in 2016, since the raw figures likely associated with survey timings were delayed until after the peak transmission season. CONCLUSIONS: Malaria remains an important health problem in Madagascar. The monthly and annual prevalence maps developed here provide a way to evaluate the magnitude of change over time, taking into account variability in survey input data. These methods can contribute to monitoring sub-national trends of malaria prevalence in Madagascar as the country aims for geographically progressive elimination. More... »

PAGES

71

References to SciGraph publications

  • 2017-12. Durability monitoring of long-lasting insecticidal (mosquito) nets (LLINs) in Madagascar: physical integrity and insecticidal activity in FILARIA JOURNAL
  • 2016-12. Treatment-seeking rates in malaria endemic countries in MALARIA JOURNAL
  • 2015-12. Re-examining environmental correlates of Plasmodium falciparum malaria endemicity: a data-intensive variable selection approach in MALARIA JOURNAL
  • 2017-12. Malaria control by commodities without practical malariology in BMC PUBLIC HEALTH
  • 2016-12. Contemporary epidemiological overview of malaria in Madagascar: operational utility of reported routine case data for malaria control planning in MALARIA JOURNAL
  • 2008-12. Using remotely sensed night-time light as a proxy for poverty in Africa in POPULATION HEALTH METRICS
  • 2017-12. Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network: a web-based application in MALARIA JOURNAL
  • 2015-12. Malaria mapping: understanding the global endemicity of falciparum and vivax malaria in BMC MEDICINE
  • 2017-12. Current and cumulative malaria infections in a setting embarking on elimination: Amhara, Ethiopia in MALARIA JOURNAL
  • 2013-04. Spatio-temporal modeling of particulate matter concentration through the SPDE approach in ASTA ADVANCES IN STATISTICAL ANALYSIS
  • 2011-12. Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax in FILARIA JOURNAL
  • 2014-12. Air temperature suitability for Plasmodium falciparum malaria transmission in Africa 2000-2012: a high-resolution spatiotemporal prediction in MALARIA JOURNAL
  • 2015-10. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015 in NATURE
  • 2016-12. Genetic evidence that the Makira region in northeastern Madagascar is a hotspot of malaria transmission in MALARIA JOURNAL
  • 2011-12. A new world malaria map: Plasmodium falciparum endemicity in 2010 in MALARIA JOURNAL
  • 2017-12. Mapping multiple components of malaria risk for improved targeting of elimination interventions in MALARIA JOURNAL
  • 2017-12. Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys in MALARIA JOURNAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12916-018-1060-4

    DOI

    http://dx.doi.org/10.1186/s12916-018-1060-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104000137

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29788968


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