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  1. 22641
    por Yu, Fei, Mani, Nandita
    Publicado 2020
    “…The COVID-19 information sources adopted by MHSLs included the following ranked by frequency from high to low: The U.S. government agencies such as Centers for Disease Control and Prevention and National Library of Medicine, the World Health Organization, publishing communities, professional journals, organizations, local institutions, government agencies, and news channels. …”
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    How American Academic Medical/Health Sciences Libraries Responded to the COVID-19 Health Crisis: An Observational Study
  2. 22642
    “…METHODS: We conducted a cross-sectional survey using the US Centers for Disease Control and Prevention Updated Guidelines for Evaluating Public Health Surveillance Systems and the Uganda National Technical Guidelines for Integrated Disease Surveillance and Response in four refugee settlements in Uganda—Bidibidi, Adjumani, Kiryandongo and Rhino Camp. …”
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    Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
  3. 22643
    “…OBJECTIVE: This study aims to explore the outcomes of a paid digital marketing campaign, which occurred from 2018 to 2020, to promote messages about parent-engaged developmental monitoring and ultimately direct parents to the Centers for Disease Control and Prevention’s (CDC’s) Milestone Tracker app, a mobile health (mHealth) app developed by the CDC. …”
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    Use of a Paid Digital Marketing Campaign to Promote a Mobile Health App to Encourage Parent-Engaged Developmental Monitoring: Implementation Study
  4. 22644
    “…INTRODUCTION: Centers for Disease Control and Prevention reported COVID-19 significantly impacts health services for chronic health conditions including patients with cardiovascular disease. …”
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    Satisfaction With Access To Health Services In West Virginia Despite Covid-19
  5. 22645
    “…BACKGROUND: In the United States, COVID-19 is a nationally notifiable disease, meaning cases and hospitalizations are reported by states to the Centers for Disease Control and Prevention (CDC). Identifying and reporting every case from every facility in the United States may not be feasible in the long term. …”
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    Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study
  6. 22646
    “…FUNDING SOURCES: Centers for Disease Control and Prevention (5U01DD001007), University of South Carolina Disability Research and Dissemination Center; Consejo Nacional de Ciencia y Tecnología (CEGL); NIH 5T32HD087137 (AF); NIH T32DK007158 (HMG).…”
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    Iron Status and Metabolic Health in Women of Reproductive Age in Southern India
  7. 22647
    “…FUNDING SOURCES: Bill & Melinda Gates Foundation, Centers for Disease Control and Prevention, Eunice Kennedy Shriver National Institute of Child Health and Human Development, HarvestPlus, and the United States Agency for International Development.…”
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    Median Urinary Iodine Concentration in School-Age Children Does Not Consistently Vary by Inflammation or Sociodemographic Factors: Multi-Country Analysis From BRINDA
  8. 22648
    “…FUNDING SOURCES: Centers for Disease Control and Prevention (5U01DD001007), University of South Carolina Disability Research and Dissemination Center; Cornell DNS; NIH T32DK007158 (HMG); NIH 5T32HD087137 (AF).…”
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    Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
  9. 22649
    “…METHODS: From December 2018 to January 2019, individual expenses and the other costs were collected: individual expenses of 133 recruited HIV-positive pregnant women registered in the National Information System of Prevention of Mother-to-Child Transmission of HIV, Syphilis, and HBV, and the other costs from local maternal and child healthcare hospitals, Centers for Disease Control and Prevention, and general hospitals. The costs, the number of pediatric infections averted from being HIV infected were analyzed. …”
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    Cost-effectiveness analysis of the prevention of mother-to-child transmission of HIV
  10. 22650
    “…MAIN OUTCOMES AND MEASURES: The primary outcome was a composite of SMM (defined using Centers for Disease Control and Prevention criteria) and/or maternal mortality between 20 weeks’ gestation and 1 year post partum. …”
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    Association of Prepregnancy Body Mass Index With Risk of Severe Maternal Morbidity and Mortality Among Medicaid Beneficiaries
  11. 22651
    “…National- and state-level RDIT-based vaccination rates were compared to Centers for Disease Control and Prevention (CDC)–reported national and state vaccination rates. …”
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    Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study
  12. 22652
    “…The Centers for Disease Control and Prevention (CDC) has recently issued a Health Alert Network Health Advisory to update the public on the potential for COVID-19 rebound after Paxlovid treatments. …”
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    COVID-19 rebound after Paxlovid and Molnupiravir during January-June 2022
  13. 22653
    “…As an alternative, this study used the health-related quality of life (HRQoL) tool from the Centers for Disease Control and Prevention “Healthy Days” measure. This subjective measure of well-being is an effective way to capture HRQoL and might be better suited as an outcome measure for treatments that include both clinical and subclinical individuals. …”
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    Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study
  14. 22654
    “…The U.S. Centers for Disease Control and Prevention (CDC) allocated funding to Emory University through the United States President’s Emergency Plan for AIDS Relief (PEPFAR) Advancing Children’s Treatment initiative. …”
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    The development of task sharing policy and guidelines in Kenya
  15. 22655
    por Tenforde, Mark W., Patel, Manish M., Gaglani, Manjusha, Ginde, Adit A., Douin, David J., Talbot, H. Keipp, Casey, Jonathan D., Mohr, Nicholas M., Zepeski, Anne, McNeal, Tresa, Ghamande, Shekhar, Gibbs, Kevin W., Files, D. Clark, Hager, David N., Shehu, Arber, Prekker, Matthew E., Erickson, Heidi L., Gong, Michelle N., Mohamed, Amira, Johnson, Nicholas J., Srinivasan, Vasisht, Steingrub, Jay S., Peltan, Ithan D., Brown, Samuel M., Martin, Emily T., Monto, Arnold S., Khan, Akram, Hough, Catherine L., Busse, Laurence W., Duggal, Abhijit, Wilson, Jennifer G., Qadir, Nida, Chang, Steven Y., Mallow, Christopher, Rivas, Carolina, Babcock, Hilary M., Kwon, Jennie H., Exline, Matthew C., Botros, Mena, Lauring, Adam S., Shapiro, Nathan I., Halasa, Natasha, Chappell, James D., Grijalva, Carlos G., Rice, Todd W., Jones, Ian D., Stubblefield, William B., Baughman, Adrienne, Womack, Kelsey N., Rhoads, Jillian P., Lindsell, Christopher J., Hart, Kimberly W., Zhu, Yuwei, Naioti, Eric A., Adams, Katherine, Lewis, Nathaniel M., Surie, Diya, McMorrow, Meredith L., Self, Wesley H., Calhoun, Nicole, Murthy, Kempapura, Herrick, Judy, McKillop, Amanda, Hoffman, Eric, Zayed, Martha, Smith, Michael, Kindle, Ryan, Kozikowski, Lori-Ann, De Souza, Lesley, Ouellette, Scott, Thornton-Thompson, Sherell, Mehkri, Omar, Ashok, Kiran, Gole, Susan, King, Alexander, Poynter, Bryan, ten Lohuis, Caitlin, Stanley, Nicholas, Hendrickson, Audrey, Caspers, Sean, Tordsen, Walker, Kaus, Olivia, Scharber, Tyler, Jorgensen, Jeffrey, Bowers, Robert, King, Jennifer, Aston, Valerie, Rothman, Richard E., Ali, Harith, Nair, Rahul, Karow, Sarah, Robart, Emily, Maldonado, Paulo Nunes, Khan, Maryiam, So, Preston, Krol, Olivia, Martinez, Jesus, Zouyed, Zachary, Acosta, Michael, Bazyarboroujeni, Reihaneh, Jung, Haeun, Reddy, Raju, Zhang, Richard, Gordon, Alexandra Jun, Levitt, Joe, Perez, Cynthia, Visweswaran, Anita, Roque, Jonasel, Chandrasekaran, Sukantha, Angeles, Los, Frankel, Trevor, Angeles, Los, Garner, Omai, Angeles, Los, Goff, Jennifer, Huynh, David, Jensen, Kelly, Driver, Conner, Carricato, Michael, Chambers, Ian, Nassar, Paul, Stout, Lori, Sibenaller, Zita, Walter, Alicia, Mares, Jasmine, Pfannenstiel, Spenser, Gershengorn, Hayley, McSpadden, EJ, Truscon, Rachel, Thomas, Lara, Bielak, Ramsay, Valvano, Weronika Damek, Fong, Rebecca, Fitzsimmons, William J., Blair, Christopher, Gilbert, Julie, Crider, Christine D., Steinbock, Kyle A., Paulson, Thomas C., Anderson, Layla A., Kampe, Christy, Johnson, Jakea, Short, Laura L., Ezzell, Lauren J., Whitsett, Margaret E., McHenry, Rendie E., Hargrave, Samarian J., Blair, Marica, Luther, Jennifer L., Pulido, Claudia Guevara, Peterson, Bryan P. M., LaRose, Mary, Landreth, Leigha, Hicks, Madeline, Parks, Lisa, Bongu, Jahnavi, McDonald, David, Cass, Candice, Seiler, Sondra, Park, David, Hink, Tiffany, Wallace, Meghan, Burnham, Carey-Ann, Arter, Olivia G.
    Publicado 2022
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    Effectiveness of a Third Dose of Pfizer-BioNTech and Moderna Vaccines in Preventing COVID-19 Hospitalization Among Immunocompetent and Immunocompromised Adults — United States, August–December 2021
  16. 22656
    por Nam, Jin Young
    Publicado 2022
    “…SMM was estimated using four indicators: the United States Centers for Disease Control and Prevention (US-CDC) SMM algorithm, the American College of Obstetricians and Gynecologists (ACOG) gold standard guidelines, Zwart et al.’s indicators for the Netherlands, and the European Network on Severe Acute Maternal Morbidity (EURONET-SAMM) index. …”
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    Comparison of global indicators for severe maternal morbidity among South Korean women who delivered from 2003 to 2018: a population-based retrospective cohort study
  17. 22657
    “…The Centers for Disease Control and Prevention developed the Social Vulnerability Index (SVI) from US census data as a tool for public health officials to identify communities in need of support in the setting of a hazardous event. …”
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    Association Between Social Vulnerability Index and Cardiovascular Disease: A Behavioral Risk Factor Surveillance System Study
  18. 22658
    “…In terms of user impact, WHO (user impact=4171.24) had the highest impact overall, followed by public health agencies, the Centers for Disease Control and Prevention (CDC; user impact=2895.87), and the National Institutes of Health (NIH; user impact=891.06). …”
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    Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models
  19. 22659
    por Singh, Rakesh
    Publicado 2022
    “…AFST of C. auris was interpreted as per Centers for Disease Control and Prevention (CDC) criteria. Results were expressed in percentages. …”
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    P290 Public health treatment due to rise in Candida auris candidemia infection
  20. 22660
    “…The Centers for Disease Control and Prevention funds two programs—the Colorectal Cancer Control Program and the National Breast and Cervical Cancer Early Detection Program—to help increase cancer screenings among groups that have been economically and socially marginalized. …”
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    Integrated interventions and supporting activities to increase uptake of multiple cancer screenings: conceptual framework, determinants of implementation success, measurement challenges, and research priorities
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