Dataset containing the presence and absence of records of dengue cases, of yellow fever cases, and of vector occurrences, on a worldwide spatial grid of 7,774-km2 hexagons (https://zenodo.org/records/10028166), together with the sources for this information. These data were used to produce models of global dengue and yellow fever transmission risk (https://www.nature.com/articles/s42003-022-03492-9 and https://doi.org/10.1371/journal.pntd.0009496) that, in “Climate change is aggravating dengue and yellow fever transmission risk”, are projected to future climate change scenarios. The dataset is composed of three Excel files in which all the information related to the worldwide distribution of records of dengue cases, yellow fever cases and vectors, at the hexagon level, has been compiled: 1) dengue records and sources (records_and_sources_dengue.xls), 2) yellow fever records and sources (records_and_sources_yellow_fever.xls), and 3) vector records and sources (records_and_sources_vectors.xls). In each of the Excel files we found: the field identifier of each hexagon (‘HEX10_ID’), the geographical coordinates of the centroids of the hexagons (‘Latitude’ and ‘Longitude’), the presence and absence of disease records and of vector occurrences (‘Dengue’, ‘Yellow_Fever’, ‘Aedes_aegypti’, ‘Aedes_albopictus’, ‘Aedes_vittatus’, ‘Aedes_africanus’, ‘Aedes_luteocephalus’, ‘Aedes_niveus’, ‘Sabethes_chloropterus’, ‘Haemagogus_janthinomys’, ‘Haemagogus_leucocelaenus’), and the sources of this information represented by the source title (‘Title’) and by a web link (‘Source’).

dengue, ecological impacts of climate change, vector-borne diseases, yellow fever, worldwide dataset, zoonoses