
The current Ebola outbreak in the Democratic Republic of the Congo, caused by the rare Bundibugyo species, faces significant under-detection due to regional conflict and logistical barriers. Dr. Ruth McCabe, an epidemiologist at Imperial College London, utilizes mathematical modeling to estimate that true infections likely range between 950 and 1,600 cases, far exceeding the 870 officially reported. These models work backward by applying a 33% case fatality ratio to known deaths and calculating the probability of international spread based on three exported cases in Uganda. Because Ebola is most infectious at the time of death and carries a six-to-seven-day incubation period, reporting delays are inevitable. These statistical insights are critical for determining necessary healthcare resources, including hospital bed capacity, staffing requirements, and personal protective equipment, to contain the virus in an environment where many infections remain hidden from official surveillance.
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