This dataset provides the case fatality rate (CFR) for yellow fever, representing the proportion of confirmed cases that result in death. It serves as a key indicator for assessing disease severity and guiding public health interventions.

This dataset tracks the collection and quality of specimens for yellow fever testing, evaluating factors such as timeliness, condition, and adequacy to ensure reliable diagnostic results.

This dataset reports the number of individuals vaccinated against yellow fever per 100,000 people, providing insights into immunization coverage and population protection levels.

This dataset reports the number of individuals vaccinated against yellow fever per 100,000 surviving infants, providing insights into immunization coverage and population protection levels.

This dataset categorizes yellow fever cases into confirmed, suspected, and discarded, aiding in surveillance, outbreak response, and disease control efforts. Confirmed cases are those verified through laboratory testing or clinical diagnosis, suspected cases involve individuals with symptoms awaiting confirmation, and discarded cases are those initially suspected but later ruled out.

For the reported yellow fever cases, their mortality outcomes, classified as alive, dead, or unknown are reported.

This dataset classifies confirmed yellow fever cases by their method of confirmation, including epidemiological linkage, clinical symptoms, and laboratory test results, aiding in disease surveillance, outbreak investigation, and public health response.