- Data-Driven Disease Surveillance
- Food Safety and Hygiene
- Spatial and Panel Data Analysis
- Urban Transport and Accessibility
- Healthcare Policy and Management
- Noise Effects and Management
- Primary Care and Health Outcomes
- Health disparities and outcomes
- Heavy Metal Exposure and Toxicity
- Food Supply Chain Traceability
- Risk Perception and Management
- Air Quality and Health Impacts
- Electronic Health Records Systems
- Public Relations and Crisis Communication
- Human Mobility and Location-Based Analysis
- Social Media and Politics
- Inflammatory Bowel Disease
- AI and HR Technologies
- Social Media in Health Education
- Smoking Behavior and Cessation
- Healthcare Systems and Reforms
- Mobile Crowdsensing and Crowdsourcing
- Pancreatitis Pathology and Treatment
- Digital Marketing and Social Media
- Liver Disease Diagnosis and Treatment
Chicago Department of Public Health
2014-2023
Al-Azhar University
2022
St. Matthew's University
2017
Beilstein-Institut
2017
Harris Health System
2017
Northwestern University
2014
University of Michigan
2014
Creative Commons
2014
In January 2014, the Chicago City Council scheduled a vote on local regulation of electronic cigarettes as tobacco products. One week prior to vote, Department Public Health (CDPH) released series messages about (e-cigarettes) through its Twitter account. Shortly after messages, or tweets, were released, department's account became target "Twitter bomb" by users sending more than 600 tweets in one against proposed regulation.The purpose our study was examine and tweet patterns social media...
Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health been underutilized. The objective of this study is to test the efficacy a machine-learned model foodborne illness detection real-world setting. To end, we built FINDER, real-time using anonymous aggregated web search location data. We computed fraction people who visited particular restaurant later searched terms indicative food poisoning identify potentially unsafe...
Context: Foodborne illness affects 1 in 4 US residents each year. Few of those sickened seek medical care or report the to public health authorities, complicating prevention efforts. Citizens who identify food establishments with more serious and critical violations than found by regular inspections. New media sources, including online restaurant reviews social postings, have potential improve reporting. Objective: We implemented a Web-based Dashboard (HealthMap Dashboard) respond tweets...
<h3>Importance</h3> Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention. <h3>Objective</h3> To validate a machine learning (random forest) prediction model of elevated blood levels (EBLLs) by comparison with parsimonious logistic regression. <h3>Design, Setting, and Participants</h3> This prognostic study for temporal validation multivariable models used data from the Women, Infants, Children (WIC) program Chicago Department...
Lead poisoning is a major public health problem that affects hundreds of thousands children in the United States every year. A common approach to identifying lead hazards test all for elevated blood levels and then investigate remediate homes with tests. This can prevent exposure future residents, but only after child has been poisoned. paper describes joint work Chicago Department Public Health (CDPH) which we build model predicts risk being poisoned so an intervention take place before...
Foodborne illness is a serious and preventable public health problem affecting 1 in 6 Americans with cost estimates over $50 billion annually. Local departments license inspect restaurants to ensure food safety respond reports of suspected foodborne illness. The City St. Louis Department Health adopted the HealthMap Dashboard (Dashboard), tool that monitors Twitter for tweets about poisoning geographic area allows department respond. We evaluated implementation by interviewing employees...
Urban environmental monitoring campaigns depend on expertise from city agencies, residents, and researchers. Deployment efforts rarely include all three stakeholders, typically leading to initiatives that struggle produce credible, actionable data. We describe the implementation of a large-scale, long-term air quality sensing network in Chicago Illinois; detail stakeholder interviews meetings; present interfaces—–a website accessible via in-situ QR codes, APIs, mobile, mixed-media...
Big cities continue to be centers for innovative solutions and services. Governments are quickly identifying opportunities take advantage of this energy revolutionize the means by which they deliver services public. The governmental public health sector is rapidly evolving in respect, Chicago an emerging example some changes come. gradually adopting informatics big data tools strategies, led pioneering jurisdictions that piecing together standards, policy frameworks, leadership structures...
Foodborne illness is a serious and preventable public health problem, with high economic tolls in the United States. Local governments play an important role food safety, local departments (LHDs) responsible for licensing inspecting restaurants. complaints from result identification of more critical safety violations than regularly scheduled inspections; however, few people report foodborne illness. Availability existing methods to LHDs across States was examined.In 2016, data were collected...
Much of spatial access research measures the proximity to health service locations. We advance this by focusing on whether funding is within walkable reach neighborhoods with high hardship. This made possible a new administrative data source: financial contracts for those human services that are delivered nonprofits under contract government.In prototypical study we apply classic 2-step floating area catchment model network analyze 2018 about contracted nonprofit funded Chicago Department...
Rio de Janeiro, Brazil, and Chicago, Ill., are using NASA Earth observations to map, monitor, forecast water air quality, urban heat island effects, landslide risks, more.
Each year, government spends more than a trillion dollars in combined federal, state, andlocal funds to support hundreds of thousands local service providers highly decentralizedsystem human provision the U.S. – making it hard gain bigger pictureperspective on whether these go where needs are concentrated. In light thepromise data-driven decision and open data, this article provides ablueprint assess how ready administrative data for gaining such perspective. As thecase example, we analyze...
Background: in a genetically predisposed host, ulcerative colitis (UC) is kind of inflammatory bowel disease (IBD), marked by an unregulated immune response produced the gut microbiota. Aim work:To determine level serum amyloid A as novel predictor activity Patients and Methods: this prospective study that will take place at Al-Azhar University Hospitals (Al-Hussein Bab-Elsheria).Patients were categorized into three groups: Group I: twenty-five patients confirmed with during remission...
Much of spatial access research measures the proximity to health service locations. We advancethis by focusing on services taking fundinginto account. This is made possible a new administrative data source: financial contracts datafor those human that are delivered nonprofits under contract with government. Ina prototypical study we draw 2018 about contracted nonprofit healthservices funded Chicago Department Public Health (CDPH) CDPH collected forthe purpose this study. find common...
Abstract Background Much of spatial access research measures the proximity to health service locations. We advance this by focusing on whether funding is within walkable reach neighborhoods with high hardship. This made possible a new administrative data source: financial contracts for those human services that are delivered nonprofits under contract government. Methods In prototypical study we apply classic 2-step floating area catchment model network analyze 2018 about contracted nonprofit...
Each year, government spends more than a trillion dollars in combined federal, state, andlocal funds to support hundreds of thousands local service providers highly decentralizedsystem human provision the U.S. – making it hard gain bigger pictureperspective on whether these go where needs are concentrated. In light thepromise data-driven decision and open data, this article provides ablueprint assess how ready administrative data for gaining such perspective. As thecase example, we analyze...
Abstract Background | Much of spatial access research measures the proximity to health service locations. We advance this by focusing on whether funding is within walkable reach neighborhoods with high hardship. This made possible a new administrative data source: financial contracts for those human services that are delivered nonprofits under contract government. Methods In prototypical study we apply classic 2-step floating area catchment model network analyze 2018 about contracted...
Much of spatial access research measures the proximity to health service locations. We advancethis by focusing on services taking fundinginto account. This is made possible a new administrative data source: financial contracts datafor those human that are delivered nonprofits under contract with government. Ina prototypical study we draw 2018 about contracted nonprofit healthservices funded Chicago Department Public Health (CDPH) CDPH collected forthe purpose this study. find common...