Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who tests positive for the disease has a 99% chance of actually having the disease, while a person who tests negative for the disease has a 99% chance of not having the disease. If a person tests positive for the disease, what is the chance (rounded to the nearest hundredth) that he or she actually has the disease?