Model Developed to Predict Spread of Superbug in Los Angeles County Jail

Article

Researchers at UCLA have developed a mathematical model that mimics a particularly nasty and ongoing outbreak in the Los Angeles County Jail (LACJ) of Staphylococcus aureus.

Reporting in the September issue of Nature Reviews Microbiology and currently online, Sally Blower, a professor of biomathematics at the Semel Institute for Neuroscience and Human Behavior at UCLA, and colleagues constructed a simple model of the outbreak in order to assess its severity, predict the consequences of a catastrophic outbreak in the jail, and suggest effective interventions to stop or control it.

Blower was intrigued by the outbreak in the LACJ of community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA), a super bug thats difficult to eradicate. When someone is infected, the bug can cause illnesses that range from minor skin infections, to severe ulcers on the skin, to life-threatening diseases.

A major risk factor for CA-MRSA has been identified as incarceration. While large outbreaks have been reported in jails around the country, the researchers choose the LACJ for two reasonsit is the nations largest jail, housing some 165,000 inmates per year and 20,000 inmates at any given time, and it has a high rate of CA-MRSAan outbreak was first reported in 2002 and continues to this day. To date, nearly 8,500 cases have been reported in the jail, and, said Blower, Inmates, once they are released, are spreading the pathogen throughout the community as well.

With cooperation from the LACJ, the researchers compiled information that determined booking rates or inflow, duration of stay or outflow, the rate of transmission of the bug within the jail, and the three states the prisoners were in while imprisoned: not infected, asymptomatic but infectious (colonized bugs living on the skin), or infected and infectious (ulcers appearing on the skin).

The researchers used the data to establish the parameters of the disease and then built a mathematical model that established the extent of the outbreak, and suggested the best way to control the pathogen.

The research showed that the LACJ outbreak is extremely large but not catastrophic, but would have become catastrophic if inmates had been incarcerated for more than two to two-and-a-half months. If catastrophic, thousands of infected inmates would have been released each month. Their model also revealed that the outbreak was sustained because of a continuous inflow of colonized and infected individuals who had picked up the bug from the community and brought it into the jail, and not from within-jail transmission.

And thats the value of such modeling, said Blower, because one of the things it can do is help to pinpoint where the best point is for intervention which, in this case, is at the point of inflow. This model also shows that it is very likely that jails are hot spots for contributing to the spread of CA-MRSA in the community. More complex models can be developed using the simple transmission model as a platform, so that additional quantitative insight can be gained into the outbreak dynamics of such nasty pathogens.

Funding for the study was provided by the National Institutes of Health. Other authors included Emily Kajita, Justin T. Okano, Erin N. Bodine, and Scott P. Layne, all of UCLA.

Source: Semel Institute for Neuroscience and Human Behavior

 

Related Videos
Jill Holdsworth, MS, CIC, FAPIC, CRCST, NREMT, CHL
Jill Holdsworth, MS, CIC, FAPIC, CRCSR, NREMT, CHL, and Katie Belski, BSHCA, CRCST, CHL, CIS
Baby visiting a pediatric facility  (Adobe Stock 448959249 by Rawpixel.com)
Antimicrobial Resistance (Adobe Stock unknown)
Anne Meneghetti, MD, speaking with Infection Control Today
Patient Safety: Infection Control Today's Trending Topic for March
Infection Control Today® (ICT®) talks with John Kimsey, vice president of processing optimization and customer success for Steris.
Picture at AORN’s International Surgical Conference & Expo 2024
Infection Control Today and Contagion are collaborating for Rare Disease Month.
Related Content