A<unk>  is a disease cluster in which a high number of cancer cases occurs in a group of people in a particular geographic area over a limited period of time. Historical examples of work-related<unk> s are well documented in the medical literature. Notable examples include: scrotal cancer among chimney sweeps in 18th century London; osteosarcoma among female watch dial painters in the 20th century; skin cancer in farmers; bladder cancer in dye workers exposed to aniline compounds; and leukemia and lymphoma in chemical workers exposed to benzene.<unk>  suspicions usually arise when members of the general public report that their family members, friends, neighbors, or coworkers have been diagnosed with the same or related cancers. State or local health departments will investigate the possibility of a<unk>  when a claim is filed. In order to justify investigating such claims, health departments conduct a preliminary review. Data will be collected and verified regarding: the types of cancer reported, numbers of cases, geographic area of the cases, and the patients clinical history. At this point, a committee of medical professionals will examine the data and determine whether or not an investigation (often lengthy and expensive) is justified. In the U.S., state and local health departments respond to more than 1,000 inquiries about suspected<unk> s each year. It is possible that a suspected<unk>  may be due to chance alone; however, only clusters that have a disease rate that is statistically significantly greater than the disease rate of the general population are investigated. Given the number of inquiries it is likely that many of these are due to chance alone. It is a well-known problem in interpreting data that random cases of cancer can appear to form clumps that are misinterpreted as a cluster. A cluster is less likely to be coincidental if the case consists of one type of cancer, a rare type of cancer, or a type of cancer that is not usually found in a certain age group. Between 5% to 15% of suspected<unk> s are statistically significant.
Cancer cluster
Disease cluster
Head injury criterion
Functional symptom
Cancer signs and symptoms
Bedridden
causes of Infection
types of Head injury