Novel method accurately predicts disease outbreaks

A team of scientists from the Johns Hopkins University Applied Physics Laboratory (APL) has developed a novel method to accurately predict dengue fever outbreaks several weeks before they occur.

The new method, known as PRedicting Infectious Scalable Model (PRISM), extracts relationships between clinical, meteorological, climatic and socio-political data in Peru and in the Philippines. It can be used in any geographical region and extended to other environmentally influenced infections affecting public health and military forces worldwide.

PRISM is aimed at helping decision-makers and planners assess the future risk of a disease occurring in a specific geographic area at a specific time. Developed by APL's Anna Buczak and a team of researchers for the Department of Defense (DoD), PRISM predicts the severity of a given disease at a specific time and place with quantifiable accuracy, using original analytical and . "By predicting when no disease is present, PRISM has the potential to save lives by allowing early and decreasing the impact of an outbreak," says Sheri Lewis, APL's Surveillance Program Manager. DoD is currently evaluating PRISM for use in mitigating the effects of infectious disease in various operational settings.

PRISM's distinctive utilizes Fuzzy Association Rule Mining (FARM) to extract relationships between multiple variables in a data set. These relationships form rules, and when the best set of rules is automatically chosen, a classifier is formed. The classifier is then used to predict future incidence of the disease – in this case dengue fever, the second most common mosquito-borne disease, which puts more than one-third of the world's population at risk.

"PRISM is designed to help public health leaders make informed decisions, mitigate threats and more effectively protect their populations," says Lewis. "Ideally, decision-makers want to learn about a disease outbreak before it spreads and PRISM will provide them with highly accurate information to protect our military forces deployed in at-risk areas."

While PRISM's pilot predictive analysis was the study of dengue fever in Peru, APL scientists have extended the method to predicting dengue in the Philippines and are working to fine-tune the model and expand its capabilities to include other . "Dengue was the starting point for our work because the data were readily available, but eventually we want to apply the methodology to other diseases, such as malaria and influenza," says Lewis.

Once fully operational, PRISM will aid in the earliest possible detection of illness within a community by complementing electronic systems such as the APL-developed Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) and the Suite of Automated Global Electronic bioSurveillance (SAGES).

ESSENCE collects, processes and analyzes non-traditional data sources to identify disease activity in a community, allowing data to be queried, analyzed and visualized by the end user. SAGES is a collection of freely available software, including open source versions of ESSENCE, for electronic surveillance in countries with little funding for public health initiatives. SAGES can be used alone or with existing surveillance applications providing governments with the flexibility to develop inexpensive and customized systems to collect and track information about the spread of diseases.

Related Stories

Searching the web for dengue

May 31, 2011

Researchers at Children's Hospital Boston and Google.org have found web-based search data to be a viable source of information for early detection and monitoring of outbreaks of dengue, an emerging mosquito-borne virus found ...

Mosquito monitoring saves lives and money, analysis finds

Oct 26, 2010

Cutting surveillance for mosquito-borne diseases would likely translate into an exponential increase in both the number of human cases and the health costs when a disease outbreak occurs, according to an analysis by Emory ...

Recommended for you

UN says Syria vaccine deaths was an NGO 'mistake'

4 hours ago

The recent deaths of Syrian children after receiving measles vaccinations was the result of a "mistake" by a non-governmental partner who mixed in a muscle relaxant meant for anesthesia, a spokesman for the U.N. secretary-general ...

First US child dies from enterovirus D68

5 hours ago

A child in the northeastern US state of Rhode Island has become the first to die from an ongoing outbreak of a respiratory virus, enterovirus D68, health officials said Wednesday.

US Ebola patient had contact with kids: governor

5 hours ago

A man who was diagnosed with Ebola in virus in Texas came in contact with young children, and experts are monitoring them for any signs of disease, governor Rick Perry said Wednesday.

UN worker dies of suspected Ebola in Liberia

6 hours ago

The United Nations mission in Liberia announced on Wednesday the first suspected victim among its employees of the deadly Ebola epidemic ravaging the impoverished west African nation.

User comments