A5010442128- Influenza Virus Research Studies
- Traffic and Road Safety
- Injury Epidemiology and Prevention
- Mosquito-borne diseases and control
- Viral Infections and Vectors
- Data-Driven Disease Surveillance
- Urban Transport and Accessibility
- Smoking Behavior and Cessation
- Fungal Infections and Studies
- HIV, Drug Use, Sexual Risk
- Pediatric health and respiratory diseases
- COVID-19 epidemiological studies
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
- Mycobacterium research and diagnosis
- Older Adults Driving Studies
- Infectious Diseases and Mycology
- Virology and Viral Diseases
- Trypanosoma species research and implications
- Anomaly Detection Techniques and Applications
- Vaccine Coverage and Hesitancy
Florida International University
2013-2020
Consortium of Universities for Global Health
2020
Florida Department of Health
2010-2018
Miami Dade College
2007-2017
Dade County Medical Examiner Department
2007-2010
Abstract Objective Since the 1980s, dengue incidence has increased 30‐fold. However, in 2017, there was a noticeable reduction reported cases within Americas, including severe and fatal cases. Understanding mechanism underlying dengue's decline Americas is vital for public health planning. We aimed to provide plausible explanations 2017. Methods An expert panel of representatives from scientific academic institutions, Ministry Health officials Latin America PAHO/WHO staff met October 2017...
On 29 April 2015, the Florida Department of Health in Miami-Dade County (DOH Miami-Dade) was notified by a local dermatologist 3 patients with suspected nontuberculous mycobacterial (NTM) infection after receiving tattoos at tattoo studio.DOH conducted interviews and offered testing, described below, to studio clients reporting rashes. Culture clinical isolates identification were performed Bureau Public Laboratories. Characterization NTM Centers for Disease Control Prevention US Food Drug...
Abstract To evaluate the usefulness of school absentee data in identifying outbreaks as part syndromic surveillance, we examined collected from public schools Miami-Dade County, Florida, USA. An innovative automated alert system captured information about school-specific absenteeism to detect and provide real-time notification possible influenza-like illness.
To determine if expanded queries can be used to identify specific reportable diseases/conditions not detected by using automated syndrome categories, we developed new categories use with the Electronic Surveillance System for Early Notification of Community Based Epidemics. Results suggest innovative enhance clinicians' compliance disease requirements.
To determine the safety effect of red light camera (RLC) programs, this study attempted to estimate its impact on collisions within Miami-Dade County, Florida Methods: A before-after evaluation using a comparison group along with traffic control correction was employed. Twenty signalized intersections RLCs that began enforcement January 1, 2011, were matched 2 sites located at least miles from minimize spillover effect. An empirical Bayes analysis used account for potential regression mean...
BACKGROUND AND OBJECTIVE: In July 2016, local transmission of Zika virus (ZIKV) was announced in Miami-Dade County, Florida. this report, we describe the epidemiology pediatric ZIKV infections locally acquired and travel-associated cases. METHODS: All children aged 1 to 17 years tested for between October 1, 2015, March 29, 2017, were included. SAS 9.4 used analyze age, sex, race and/or ethnicity, origin exposure, onset date, affiliation with a household cluster, clinical symptoms,...
Background: Since last April 2009 when the first cases of H1N1 influenza were diagnosed in United States, Miami-Dade County has been hardest hit by this disease among Florida counties. This outbreak also uncovered large disparities outcome ethnic and racial groups our community. Sixty-two percent 2,400,000 residents are Hispanic origin, eighteen Black Non-Hispanic, White Non-Hispanic respectively. Among residents, twentyeight have no health insurance, seventeen live below poverty level....