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Willis Matt

Description

On January 12, 2010, a magnitude 7.0 earthquake struck Haiti, killing 4230 000 persons and placing an estimated 1.5 million into internally displaced persons (IDP) camps. IDPs are at increased risk for communicable diseases resulting from unhealthy living conditions. The Haitian Ministry of Public Health and Population (MSPP) established the internally displaced persons surveillance system (IDPSS) to detect outbreaks and characterize disease trends within these camps.

IDPSS gathers data on IDPs seen in clinics run by nongovernmental agencies (NGOs). Physician tally sheets are totaled and sent to the MSPP by E-mail or on paper for those without internet connection. Each Monday, analyses of surveillance data through the preceding week are distributed. Reports, guidelines, and forms are sent to MSPP partners and NGOs through the system’s Google group (Mountain View, CA, USA), an internet-based discussion forum.

 

Objective

We evaluated the IDPSS to determine its suitability for use during a complex humanitarian emergency.

Submitted by hparton on
Description

Opioid overdoses have emerged within the last five to ten years to be a major public health concern. The high potential for fatal events, disease transmission, and addiction all contribute to negative outcomes. However, what is currently known about opioid use and overdose is generally gathered from emergency room data, public surveys, and mortality data. In addition, opioid overdoses are a non-reportable condition. As a result, state/national standardized procedures for surveillance or reporting have not been developed, and local government monitoring is frequently not specific enough to capture and track all opioid overdoses. Lastly, traditional means of data collection for conditions such as heart disease through hospital networks or insurance companies are not necessarily applicable to opioid overdoses, due to the often short disease course of addiction and lack of consistent health care visits. Overdose patients are also reluctant to follow-up or provide contact information due to law enforcement or personal reasons. Furthermore, collected data related to overdoses several months or years after the fact are useless in terms of short-term outreach. Therefore, given the potentially brief timeline of addiction or use to negative outcome, the current project set to create a near real-time surveillance and treatment/outreach system for opioid overdoses using an already existing EMS data collection framework.

Objective: To develop and implement a classifcation algorithm to identify likely acute opioid overdoses from text fields in emergency medical services (EMS) records.

Submitted by elamb on
Description

Although Marin County ranks as the healthiest county in California, it ranks poorly in substance abuse indicators, including drug overdose mortality.1 Death certificates do not always include specific detail on the substances involved in a drug overdose.2 This lack of specificity makes it difficult to identify public health issues related to specific prescription drugs in our community. We analyzed 2013 drug overdose death toxicology reports to determine if they could improve the description of drug overdose deaths in our community and to describe associated data characteristics.

Objective

To describe the potential impact of using toxicology data to support drug overdose mortality surveillance.

Submitted by Magou on