<b>Yellow Fever in Ghana: Predicting Emergence and Ecology from Historical Outbreaks (Datasets)</b>

These files contain the data for the original article:Judson SD, Kenu E, Fuller T, Asiedu-Bekoe F, Biritwum-Nyarko A, Schroeder LF, Dowdy DW. Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks. <i>PLOS Global Public Health</i>. 2024; doi.org/10.1371/journal.pgph.0003337If using these data please cite the article above.Details on the ecological niche modeling methods are available in the S1 Appendix and R markdown file: YF_Ghana_ENM<b>Datasets:</b>Ghana YF Annual Cases 1910_2022-contains data on annual cases, deaths, and CFR from literature reviewGhana_YF_Occurrences-contains locations of laboratory confirmed occurrences of YF outbreaks in GhanaGhana_YF_Outbreaks_District_1910_2022-Includes data for outbreaks according to district<br><b>Data fields</b>Year= year cases occurred at that locationYear.start = year the overall outbreak startedMonth.start=month the outbreak startedYear.end = year the outbreak endedMonth.end = month the outbreak ended<br>Region= region where cases occurredDistrict = district where cases occurredLocation = specific location where cases occurred<br>Cases.reported = cases reportedDeaths.reported = deaths reportedcase.ref is the reference for the case numbersrefs= additional references<br>Cycle.suspected = suspected transmission cyclevaccination.reactive = reactive vaccination campaigns (1 = yes)Outbreak.origin = (1= outbreak started in this area)season.start = season during the month of outbreak origin<br>