Publications by authors named "Daniel Sosin"

Public health practitioners rely on timely surveillance data for planning and decision-making; however, surveillance data are often subject to delays. Epidemic trend categories, based on time-varying effective reproductive number (R) estimates that use nowcasting methods, can mitigate reporting lags in surveillance data and detect changes in community transmission before reporting is completed. CDC analyzed the performance of epidemic trend categories for COVID-19 during summer 2024 in the United States and at the state level in New Mexico.

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Importance: Respiratory syncytial virus (RSV) infection can cause severe illness in adults. However, there is considerable uncertainty in the burden of RSV-associated hospitalizations among adults prior to RSV vaccine introduction.

Objective: To describe the demographic characteristics of adults hospitalized with laboratory-confirmed RSV and to estimate annual rates and numbers of RSV-associated hospitalizations, intensive care unit (ICU) admissions, and in-hospital deaths.

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Article Synopsis
  • * From October 2022 to April 2024, there were 1,470 COVID-19-related hospitalizations among infants, with rates higher than any age group except those 75 and older.
  • * The percentage of hospitalized infants whose mothers were vaccinated dropped significantly, and severe outcomes were common, with many requiring intensive care and some serious cases resulting in death, highlighting the need for pregnant individuals to get vaccinated.
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We compared mpox vaccination access between urban and rural residents who received ≥1 JYNNEOS dose using immunization data in Idaho and New Mexico. Rural residents traveled 5 times farther and 3 times longer than urban residents to receive mpox vaccination. Increasing mpox vaccine availability to health care facilities might increase uptake.

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Article Synopsis
  • During the COVID-19 pandemic in the U.S. (from March to December 2020), the incidence of invasive bacterial diseases (IBD) caused by several bacteria, including Streptococcus pneumoniae and Haemophilus influenzae, significantly decreased compared to expected rates from earlier years.
  • The observed declines in IBD were 58% for S. pneumoniae, 60% for H. influenzae, 28% for group A Streptococcus, and 12% for group B Streptococcus, aligning with the introduction of COVID-19 preventive measures.
  • Testing rates for blood and cerebrospinal fluid during the pandemic remained similar to pre-pandemic years, suggesting that the drop in IBD cases
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Previous reports of COVID-19 case, hospitalization, and death rates by vaccination status indicate that vaccine protection against infection, as well as serious COVID-19 illness for some groups, declined with the emergence of the B.1.617.

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Background: With the emergence of the delta variant, the United States experienced a rapid increase in Covid-19 cases in 2021. We estimated the risk of breakthrough infection and death by month of vaccination as a proxy for waning immunity during a period of delta variant predominance.

Methods: Covid-19 case and death data from 15 U.

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Objectives: Describe population-based rates and risk factors for severe coronavirus disease 2019 (COVID-19) (ie, ICU admission, invasive mechanical ventilation, or death) among hospitalized children.

Methods: During March 2020 to May 2021, the COVID-19-Associated Hospitalization Surveillance Network identified 3106 children hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection in 14 states. Among 2293 children primarily admitted for COVID-19, multivariable generalized estimating equations generated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) of the associations between demographic and medical characteristics abstracted from medical records and severe COVID-19.

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Article Synopsis
  • This study investigates the relationship between race/ethnicity, socioeconomic status, and COVID-19 hospitalization rates using data from the COVID-NET surveillance network during early 2020.
  • Findings show that a significant portion of COVID-19 hospitalizations occurred among racial and ethnic minorities, with the highest rates found in high-poverty areas, particularly among Black and Hispanic populations.
  • The conclusion emphasizes the need for targeted public health strategies and vaccination efforts to support racial and ethnic minorities and those in high-poverty communities effectively.
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COVID-19 vaccine breakthrough infection surveillance helps monitor trends in disease incidence and severe outcomes in fully vaccinated persons, including the impact of the highly transmissible B.1.617.

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The New Mexico Department of Health (NMDOH) conducted a matched case-control study to compare 315 persons (cases) with and 945 persons (controls) without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) secondary detection (ie, positive SARS-CoV-2 test ≥90 days after first detection as of December 10, 2020). Compared with controls, cases had greater odds of higher SARS-CoV-2 testing frequency (adjusted odds ratio [aOR] = 1.2), being female (aOR = 1.

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Article Synopsis
  • Clinical trials show that COVID-19 vaccines authorized for use in the U.S. (Pfizer-BioNTech, Moderna, and Johnson & Johnson) are highly effective against symptomatic disease.
  • Real-world studies of over 7,000 patients indicate that these vaccines are particularly effective in preventing hospitalizations among adults aged 65 and older.
  • Specifically, vaccine effectiveness rates in preventing hospitalizations during early 2021 ranged from 84% to 96% depending on the vaccine type and age group, highlighting the importance of increasing vaccination coverage among older adults to lower hospitalization risks.
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Pregnant women might be at increased risk for severe coronavirus disease 2019 (COVID-19) (1,2). The COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) (3) collects data on hospitalized pregnant women with laboratory-confirmed SARS-CoV-2, the virus that causes COVID-19; to date, such data have been limited. During March 1-August 22, 2020, approximately one in four hospitalized women aged 15-49 years with COVID-19 was pregnant.

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Since SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in December 2019 (1), approximately 1.3 million cases have been reported worldwide (2), including approximately 330,000 in the United States (3). To conduct population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in the United States, the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) was created using the existing infrastructure of the Influenza Hospitalization Surveillance Network (FluSurv-NET) (4) and the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET).

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We studied departures from regulatory requirements identified on US Federal Select Agent Program (FSAP) inspections to increase transparency regarding biosafety and security risk at FSAP-regulated entities and identify areas for programmatic improvement. Regulatory departures from inspections led by Centers for Disease Control and Prevention inspectors during 2014-15 were grouped into "biosafety," "security," and "other" observation categories and assigned a risk level and score reflecting perceived severity. The resulting 2,267 biosafety (n = 1,153) and security (n = 1,114) observations from 296 inspections were analyzed by frequency and risk across entity and inspection characteristics.

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Objective: To build a tool to assist disaster response planning and estimate the numbers of displaced persons that will require special medical care during a disaster.

Methods: We developed a tool, titled MedCon:PreEvent, which incorporates data from the 2006 National Health Interview Survey, 2005 National Hospital Discharge Survey, and 2004 National Nursing Home Survey to calculate numbers of emergency room/emergency department (ER/ED) visits, surgeries, health care home visits, overnight hospital stays, office visits, and self-rated health status. We then used thresholds of more than 12 office visits or 6 or more ER/ED visits or 6 or more surgeries or more than 4 home visits or more than 6 overnight hospital stays within the past 12 months to calculate rates per million evacuees requiring special medical care, including daily bed hospital and nursing home bed occupancy.

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Objective: We describe a centralized automated multi-function detection and reporting system for public health surveillance--the Alberta Real Time Syndromic Surveillance Net (ARTSSN). This improves upon traditional paper-based systems which are often fragmented, limited by incomplete data collection and inadequate analytical capacity, and incapable of providing timely information for public health action.

Methods: ARTSSN concurrently analyzes multiple electronic data sources in real time to describe results in tables, charts and maps.

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Introduction: The 2003 National Syndromic Surveillance Conference provided an opportunity to examine challenges and progress in evaluating syndromic surveillance systems.

Objectives: Using the conference abstracts as a focus, this paper describes the status of performance measurement of syndromic surveillance systems and ongoing challenges in system evaluation.

Methods: Ninety-nine original abstracts were reviewed and classified descriptively and according to their presentation of evaluation attributes.

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The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function.

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Interest in public health surveillance to detect outbreaks from terrorism is driving the exploration of nontraditional data sources and development of new performance priorities for surveillance systems. A draft framework for evaluating syndromic surveillance systems will help researchers and public health practitioners working on nontraditional surveillance to review their work in a systematic way and communicate their efforts. The framework will also guide public health practitioners in their efforts to compare and contrast aspects of syndromic surveillance systems and decide whether and how to develop and maintain such systems.

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