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calvinokoth9528-cloud/kenya-malaria-dashboard

Domain:

healthcaregeospatial

Record type:

dataset
Creator:
cal
Host:
Kenya malaria prevalence dashboard: interactive Power BI-style visualisation of P. falciparum survey data (1985-2020) with a full R analysis pipeline # Kenya Malaria Prevalence Dashboard An interactive, Power BI-style dashboard of *Plasmodium falciparum* malaria prevalence in Kenya, built from 2,149 geo-referenced community and school-based surveys (Malaria Atlas Project, 1985–2020). Every statistic on the dashboard is computed in **R** — cleaning, summaries, and a binomial logistic regression — and rendered as a self-contained HTML dashboard that works offline in any browser. > **Live demo:** calvinokoth9528-cloud.githu… ## Visuals ## What the dashboard shows | Section | Content | |---|---| | **KPI cards** | 2,149 surveys · 186,765 individuals examined · 38,161 infections · 20.4% overall prevalence | | **Temporal trends** | Weighted prevalence by year (fell from ~46% in 1985 to ~8% by 2020) and by decade | | **Seasonality & trends** | Prevalence by month of year, rural vs urban by year, microscopy vs RDT by year | | **Geography** | Interactive map of all survey sites with a Kenya outline, plus prevalence by region and latitude band | | **Breakdowns** | Setting, diagnostic method, age group, RDT types, hotspots | | **Reliability** | Sample-size vs prevalence, per-survey statistics | | **Statistical model** | Binomial logistic regression: year OR **0.930** (~7% decline/year), urban OR **0.483**, RDT OR **0.501** | | **Data explorer** | Searchable table of all 2,149 surveys | Power BI-style slicers (setting, diagnostic method, survey year) re-filter every chart and the data table instantly. ## Dataset - **Source:** Malaria Atlas Project (`malariaAtlas` R package), Kenya surveys - **Scope:** 3,607 raw survey records; 2,149 retained after cleaning (1,458 removed for missing or invalid parasitological data) - **Recorded fields:** site, coordinates, year and month, age range, individuals examined, positive results, parasite rate, diagnostic method, RDT type, species (all *P. falciparum*) ## Methodology (R) `malaria_analysis.R` (R 4.6.1, `tidyverse`) performs the full an …