Seasonal forecasts of normalized malaria case anomalies for Uganda 1993-2014


The dataset consists of two components-----1. Seasonal forecasts at lead time 1 month and lead time 4 months of temperature and rainfall from the ECMWF extended range EPS and seasonal forecast system 4, and of relevant parameters related to malaria incidence and transmission that are produced by the VECTRI malaria model driven by the forecast data.a) Rain: Monthly averaged rainfall (mm/day)b) Temp: Monthly averaged Two metre temperature (deg C)c) water_frac: The fraction of the gridcell covered by temporary water bodies that can act as breeding sitesd) PRd: Parasite Ratio, proportion of people that have detectable infectione) EIR: Entomological Inoculation rate, number of infective bites per person per unit day.f) anneir: EIR converted to annual unitsg) lneir: log function of EIR as a proxy for clinical cases (see manuscript for details)Global attributes give model version and parameter settings for simulationsData covers period from 1993 to 2014.-----2. Normalized district case anomalies from Uganda covering oeriod 2004 to 2010, with model forecast data projected to shapefiles for ease of comparisonCSV file with the following format:District name, year, lead month, case anomaly, fc anom mem0, mem1, mem2, mem3

Supplement to: Tompkins, Adrian Mark; Colón‐González, Felipe J; Di Giuseppe, Francesca; Namanya, Didas B (2019): Dynamical Malaria Forecasts Are Skillful at Regional and Local Scales in Uganda up to 4 Months Ahead. GeoHealth, 3(3), 58-66

Related Identifier
Metadata Access
Creator Tompkins, Adrian Mark ; Colón‐González, Felipe J ; Di Giuseppe, Francesca ; Namanya, Didas B
Publisher PANGAEA
Publication Year 2019
Rights Creative Commons Attribution 4.0 International;
OpenAccess true
Language English
Resource Type Supplementary Publication Series of Datasets; Collection
Format application/zip
Size 2 datasets
Discipline Earth System Research
Spatial Coverage (31.883 LON, 1.067 LAT); Africa, Uganda