The OpenDengue project aims to build and maintain a database of dengue case counts for every dengue-affected country worldwide since 1990 or earlier. We collate data from a range of publicly available sources including ministry of health websites, peer-reviewed publications and other disease databases.
Global summaries of data: We provide three global summaries of the data in OpenDengue. We provide the best national estimate (National_extract.csv), the best temporal resolution (Temporal_extract.csv) and the best spatial resolution (Spatial_extract.csv). This allows users to customise their data extraction based on their research question. Each row in the data table contains a unique, non-overlapping location and time period with the associated dengue case data. The below codebook describes each variable.
adm_0_name : administrative level 0/country name
adm_1_name : administrative level 1 name
adm_2_name : administrative level 2 name
full_name : full place name
ISO_A0 : ISO country code
FAO_GAUL_code : Food and Agricultural Organization Global Administrative Unit Layer Code
RNE_iso_code : RNaturalEarth ISO code
IBGE_code : Brazilian Instituto Brasileiro de Geografia e Estatística (IBGE) code
calendar_start_date : the start date in calendar time with the format YYYY-mm-dd
calendar_end_date : the end date in calendar time with the format YYYY-mm-dd
Year : year
dengue_total : the total dengue case count relating to the period and place (see dengue classification protocol and dengue double count protocol)
case_definition_standardised : case definition after standardisation
S_res : spatial resolution
T_res : temporal resolution
UUID : Universal Unique Identifier relating to the source file from which the data originates
Funding
The OpenDengue project is supported by a research grant from the UK Medical Research Council UK Medical Research Council (Grant number: MR/V031112/1).