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Travel times to clinics provisioning PEP across Madagascar.

Domain:

healthcaregeospatial

Record type:

dataset
Creator:
MalHélGleCha
Host:avatar

(A)) Estimated at an ~ 1 km2 scale using the estimated from the Malaria Atlas Project friction surface (https://malariaatlas.org/re…, CC-BY 3.0) and on human population from WorldPop (https://www.worldpop.org/ge…, CC-BY 4.0). (A)) Estimated at an ~ 1 km2 scale using the estimated from the Malaria Atlas Project friction surface (https://malariaatlas.org/re…, CC-BY 3.0) and on human population from WorldPop (https://www.worldpop.org/ge…, CC-BY 4.0). (B) Distribution of the population across travel times. (C) Correlation between ground-truthed travel times (mean of patient reported travel times to the Moramanga PEP clinic at the commune level and reported driving times between GPS points) and friction surface travel time estimates. The vertical lines show the 95% quantiles for reported travel times and the point size shows the number of observations for each commune. The best fit lines (red and grey) from a linear model where observed travel times are predicted by estimated travel times for each data source are also shown. The dashed black line is the 1:1 line.

Visit

figshare.com

Tags

MedicineMolecular BiologyBiotechnologyEcologySociologyInfectious DiseasesEnvironmental Sciences not elsewhere classifiedMadagascar Background Post-exposure...PEP accesscare shapes disease burden+7

Licenses

CC BY 4.0

Similar

Estimating travel times to the closest clinic provisioning PEP.

Estimating travel times to the closest clinic provisioning PEP.

Fig A. Raster inputs to estimate travel times to the closest clinic provisioning PEP for Madag