ArticlePloS one2018
Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Perspectives of primary care physicians in Spain on malaria: a cross-sectional survey and retrospective review of cases.Malaria journal · 2024Article
- Imported malaria definition and minimum data for surveillance.Scientific reports · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate trends in the incidence of imported malaria in the UK between 2005 and 2016.
designAnalysis of longitudinal electronic health records (EHRs) in The Health Improvement Network (THIN) primary care database.
settingUK primary care.
participantsIn total, we examined 12,349,003 individuals aged 0 to 99 years. OUTCOME MEASURE: The rate of malaria recordings in THIN was calculated per year between 2005 and 2016. Rate ratios exploring differences by age, sex, location of general practice, socioeconomic status and ethnicity were estimated using multivariable Poisson regression.
resultsA total of 1,474 individuals with a first diagnosis of malaria were identified in THIN between 2005 and 2016. The incidence of recorded malaria followed a decreasing trend dropping from a rate of 3.33 in 2005 to 1.36 cases per 100,000 person years at risk in 2016. Multivariable Poisson regression showed that adults of working age (20 to 69 years), men, those registered with a general practice in London, higher social deprivation and non-white ethnicity were associated with higher rates of malaria recordings.
conclusionThere has been a decrease in the number of malaria recordings in UK primary care over the past decade. This decrease exceeds the rate of decline reported in national surveillance data; however there are similar associations with age, sex and deprivation. Improved geographic information on the distribution of cases and the potential for automation of case identification suggests that EHRs could provide a complementary role for investigating malaria trends over time.
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