Salmonella outbreak in USA: Contaminated cucumbers hit 31 states

In the United States, an outbreak of salmonella has erupted, and it has been confirmed in hundreds of people. Experts warn that the number of infected individuals could be significantly higher. Many people may not have reported to a doctor, and some infected individuals may not yet have shown symptoms of the disease, making it difficult to assess the scale of the outbreak fully.

The Centers for Disease Control and Prevention have published detailed reports on the outbreak of salmonella that has affected 31 states. The outbreak was caused by contaminated cucumbers distributed by several companies across the United States.

So far, hundreds of cases of infection have been confirmed, but this number might be vastly underreported. Experts point out that many infected people may not have reported to a doctor, complicating the complete assessment of the scale of the problem.

According to information provided by ABC News, cucumbers caused salmonella infection in precisely 449 people in 31 states in the USA. Epidemiological data points to contaminated cucumbers as the source of infections.

The federal agency identified many common factors through studies, such as the places and times of the disease occurrences, the demographic profile of infected individuals, and the type of food they consumed before falling ill. These similarities helped establish that contaminated cucumbers are indeed responsible for the outbreak.

The number of infected people in this outbreak likely far exceeds the official statistics. This is because many people recover without medical consultation and are not tested for salmonella. Additionally, the latest cases may not yet be reported.

Typical symptoms of salmonella infection include diarrhea, fever, and stomach cramps. These symptoms usually appear a few hours to six days after consuming contaminated food. In many cases, the symptoms are mild enough that those affected do not see a doctor, complicating the full assessment of the scale of the outbreak and potentially causing the number of infected individuals to be much higher than indicated by official data.