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  1. 22301
    “…METHODS: We studied incident CDI cases (positive C. difficile test in a person ≥65 years without a positive test in the prior 8 weeks) identified during 2016–2018 through population-based CDI surveillance from four states participating in the Centers for Disease Control and Prevention’s Emerging Infections Program. …”
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    2314. Hospitalizations and Antibiotic Use in the Year Prior to an Incident C. difficile Infection for Medicare Beneficiaries in Four States, 2016–2018
  2. 22302
    por Thomas, Merlyn S., Feng, Yaohua
    Publicado 2021
    “…Food and Drug Administration (FDA), the Centers for Disease Control and Prevention (CDC), and healthcare professionals for COVID-19 and food safety information. …”
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    Consumer risk perception and trusted sources of food safety information during the COVID-19 pandemic
  3. 22303
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    Council of State and Territorial Epidemiologists/CDC Surveillance Case Definition for Multisystem Inflammatory Syndrome in Children Associated with SARS-CoV-2 Infection — United States
  4. 22304
    “…Salmonella enterica is a major foodborne pathogen, with MDR Salmonella being considered a “Serious Threat Level pathogen” by the Centers for Disease Control and Prevention. Therefore, the prevalence of mcr in Salmonella strains must be monitored. …”
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    Chromosomally and Plasmid-Located mcr in Salmonella from Animals and Food Products in China
  5. 22305
    por McGwin, Gerald, Griffin, Russell L
    Publicado 2022
    “…Geologic Survey’s National Water-Quality Assessment Project, and pancreatic cancer mortality data was derived from compressed mortality files provided by the Centers for Disease Control and Prevention. Overall, no significant association was observed between 1,3-dichloropropene use and pancreatic cancer mortality rate; however, a significantly increased mortality rate was observed for the highest two quartiles of 1,3-dichloropropene use in states that reported use to the National Water-Quality Assessment Project for at least 20 years. …”
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    An Ecologic Study of the Association between 1,3-Dichloropropene and Pancreatic Cancer
  6. 22306
    “…At our tertiary medical center in Lebanon, we encountered several cases that presented a diagnostic challenge because they mimicked MIS-C but did not meet the US Centers for Disease Control and Prevention (CDC) definition. We decided to review these cases and describe their features in comparison with cases that met the CDC criteria of MIS-C and those that had an alternative diagnosis. …”
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    Multisystem inflammatory syndrome in children (MIS-C) and “Near MIS-C”: A continuum?
  7. 22307
    “…The Centers for Disease Control and Prevention (CDC) developed and implemented the v-safe after vaccination health checker (v-safe) to monitor COVID-19 vaccine safety and as an active surveillance supplement to existing CDC vaccine safety monitoring programs. …”
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    The v-safe after vaccination health checker: Active vaccine safety monitoring during CDC’s COVID-19 pandemic response
  8. 22308
    “…Our patient population showed a high vaccination rate of 82.9% as compared to the national average of 59.2% (source: Centers for Disease Control and Prevention (CDC)). Only 5.7% of the patients reported new or worsening gastrointestinal symptoms in the week following vaccination. …”
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    A Comparison of the Effects of COVID-19 on Irritable Bowel Syndrome and Inflammatory Bowel Disease Patients While Working at Home and in the Office: A Retrospective Study
  9. 22309
    “…The THIS scale was compared with other commonly used screening tests, including the Denver Developmental Screening Test II (Denver II), the Alberta Infant Motor Scale (AIMS), and the Centers for Disease Control and Prevention (CDC) Developmental Assessment. …”
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    Standardization of a Developmental Milestone Scale Using Data From Children in Israel
  10. 22310
    “…IMPORTANCE: The Centers for Disease Control and Prevention (CDC) announced in January 2023 that they were investigating a potential connection between administration of the Pfizer novel coronavirus disease-2019 (COVID-19) bivalent vaccine booster and ischemic stroke (IS). …”
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    Ischemic stroke after COVID-19 bivalent vaccine administration in patients aged 65 years and older: analysis of nation-wide patient electronic health records in the United States
  11. 22311
    “…The Centers for Disease Control and Prevention (CDC) recommended that people quarantine for 14 days if they were potentially exposed to the virus, stay at least six feet apart from others, and stay at home as much as possible. …”
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    How has COVID-19 impacted customer perceptions and demand for delivery services: An exploratory analysis
  12. 22312
    “…PURPOSE: The Centers for Disease Control and Prevention’s National Comprehensive Cancer Control Program (NCCCP) requires that states develop comprehensive cancer control (CCC) plans and recommends that disparities related to rural residence are addressed in these plans. …”
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    Prioritizing rural populations in state comprehensive cancer control plans: a qualitative assessment
  13. 22313
    “…SAP was defined according to the modified Centers for Disease Control and Prevention criteria. Data on the NLR, SII, SIRI and PLR were collected at admission, and the correlation between these factors and the clinical pulmonary infection score (CPIS) was assessed through Spearman’s analysis. …”
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    The clinical value of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) for predicting the occurrence and severity of pneumonia in patients with intracerebral hemorrhage
  14. 22314
    “…BACKGROUND: Throughout the COVID-19 pandemic, US Centers for Disease Control and Prevention policies on face mask use fluctuated. …”
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    Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter
  15. 22315
    “…EXPOSURES: Individuals experiencing postacute sequelae of SARS-CoV-2 using a Centers for Disease Control and Prevention–based definition. MAIN OUTCOMES AND MEASURES: Adverse outcomes, including cardiovascular and respiratory outcomes and mortality, for individuals with PCC and controls assessed over a 12-month period. …”
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    One-Year Adverse Outcomes Among US Adults With Post–COVID-19 Condition vs Those Without COVID-19 in a Large Commercial Insurance Database
  16. 22316
    “…DESIGN, SETTING, AND PARTICIPANTS: This cohort study used exploratory longitudinal data from 2 cohorts (prepandemic cohort: September 1, 2018, to February 29, 2020; pandemic cohort: September 1, 2019, to February 28, 2021) of Medicare Fee-for-Service beneficiaries aged 18 years or older initiating an episode of OUD-related care using Medicare Fee-for-Service data from the Centers for Medicare & Medicaid Services and National Death Index data from the Centers for Disease Control and Prevention. Data analysis was performed from September 19 to October 17, 2022. …”
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    Association of Receipt of Opioid Use Disorder–Related Telehealth Services and Medications for Opioid Use Disorder With Fatal Drug Overdoses Among Medicare Beneficiaries Before and During the COVID-19 Pandemic
  17. 22317
    por Shea, Katriona, Borchering, Rebecca K., Probert, William J. M., Howerton, Emily, Bogich, Tiffany L., Li, Shou-Li, van Panhuis, Willem G., Viboud, Cecile, Aguás, Ricardo, Belov, Artur A., Bhargava, Sanjana H., Cavany, Sean M., Chang, Joshua C., Chen, Cynthia, Chen, Jinghui, Chen, Shi, Chen, YangQuan, Childs, Lauren M., Chow, Carson C., Crooker, Isabel, Del Valle, Sara Y., España, Guido, Fairchild, Geoffrey, Gerkin, Richard C., Germann, Timothy C., Gu, Quanquan, Guan, Xiangyang, Guo, Lihong, Hart, Gregory R., Hladish, Thomas J., Hupert, Nathaniel, Janies, Daniel, Kerr, Cliff C., Klein, Daniel J., Klein, Eili Y., Lin, Gary, Manore, Carrie, Meyers, Lauren Ancel, Mittler, John E., Mu, Kunpeng, Núñez, Rafael C., Oidtman, Rachel J., Pasco, Remy, Pastore y Piontti, Ana, Paul, Rajib, Pearson, Carl A. B., Perdomo, Dianela R., Perkins, T. Alex, Pierce, Kelly, Pillai, Alexander N., Rael, Rosalyn Cherie, Rosenfeld, Katherine, Ross, Chrysm Watson, Spencer, Julie A., Stoltzfus, Arlin B., Toh, Kok Ben, Vattikuti, Shashaank, Vespignani, Alessandro, Wang, Lingxiao, White, Lisa J., Xu, Pan, Yang, Yupeng, Yogurtcu, Osman N., Zhang, Weitong, Zhao, Yanting, Zou, Difan, Ferrari, Matthew J., Pannell, David, Tildesley, Michael J., Seifarth, Jack, Johnson, Elyse, Biggerstaff, Matthew, Johansson, Michael A., Slayton, Rachel B., Levander, John D., Stazer, Jeff, Kerr, Jessica, Runge, Michael C.
    Publicado 2023
    “…This case study demonstrated the utility of our approach and was one of several multimodel efforts that laid the groundwork for the COVID-19 Scenario Modeling Hub, which has provided multiple rounds of real-time scenario projections for situational awareness and decision making to the Centers for Disease Control and Prevention since December 2020.…”
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    Multiple models for outbreak decision support in the face of uncertainty
  18. 22318
    “…Remaining misclassification of vaccination status was assessed by comparing linked IIS and claims data estimates with estimates from external surveillance data sources (Centers for Disease Control and Prevention [CDC] and state Department of Health [DOH]) and capture-recapture analysis. …”
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    Use of Immunization Information Systems in Ascertainment of COVID-19 Vaccinations for Claims-Based Vaccine Safety and Effectiveness Studies
  19. 22319
    “…Only 12% (1/8) of the studies followed the Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems and the outcomes of enhanced systems based on the systems’ attributes to measure their effectiveness. …”
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    Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic Review
  20. 22320
    “…The dataset used in this study is the Vaccine Adverse Event Reporting System (VAERS) dataset which was created as a corporation between the Food and Drug Administration (FDA) and Centers for Disease Control and Prevention (CDC) to gather reported side effects that may be caused by PFIEZER, JANSSEN, and MODERNA vaccines. …”
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    A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines
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