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Centers for Disease Control and Prevention |
Html |
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Rhode Island Activities to Prevent HAIs |
null |
| MPEG | 0.446113 |
| funding | 0.634686 |
| monthly update | 0.806007 |
| email address | 0.973252 |
| different file formats | 0.743548 |
| Affordable Care Act | 0.755504 |
| Epidemiology | 0.597099 |
| recent work | 0.786869 |
|
| PDF | 0.439171 |
| infectious disease | 0.830694 |
| PPT | 0.456191 |
| Laboratory Capacity | 0.936956 |
| Infectious Diseases | 0.944175 |
| DOC | 0.444472 |
| page | 0.491246 |
| ELC | 0.644161 |
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| 7233 |
Centers for Disease Control and Prevention |
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Race/Ethnicity, Adults 65 Years and Older - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 65 Years and Older - CDC |
| Native Hawaiian | 0.364266 |
| Pacific Islander | 0.404771 |
| data | 0.31905 |
| report Final estimates | 0.454714 |
| United States | 0.215383 |
| season estimates | 0.211501 |
| influenza vaccination coverage | 0.621152 |
| methods | 0.209801 |
| U.S. civilian population | 0.374798 |
| Risk Factor Surveillance | 0.409947 |
| recent influenza seasons | 0.353281 |
| seasonal influenza vaccination | 0.96844 |
| Monovalent Vaccination Coverage | 0.461208 |
| vaccination coverage | 0.66394 |
|
| Alaska Native | 0.362722 |
| Excludes U.S. territories | 0.410817 |
| Additional estimates | 0.216823 |
| estimates | 0.630747 |
| high risk conditions | 0.229118 |
| vaccination periods | 0.254694 |
| influenza season | 0.414227 |
| H1N1 Flu Survey | 0.381627 |
| BRFSS adult estimates | 0.310545 |
| Coverage estimates | 0.236942 |
| Confidence Interval | 0.223316 |
| vaccination recommendations | 0.259273 |
| vaccination data | 0.290953 |
| national weighted estimates | 0.343671 |
|
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| 8765 |
Centers for Disease Control and Prevention |
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Vital Signs: Evaluation of Hepatitis C Virus InfectionTesting and Reporting - Eight U.S. Sites, 2005-2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| antibody test results | 0.278066 |
| HCV RNA | 0.87215 |
| HCV laboratory testing | 0.453031 |
| HCV infection | 0.918931 |
| United States | 0.370475 |
| positive HCV test | 0.497421 |
| HCV RNA testing | 0.609197 |
| HCV RNA result | 0.493009 |
| HCV test results | 0.485279 |
| U.S. sites | 0.288446 |
| New York City | 0.344376 |
| generation HCV antibody | 0.429869 |
| positive test result | 0.317345 |
| current infection | 0.354027 |
| follow-up HCV RNA | 0.423833 |
| HCV antibody test | 0.58876 |
| recent HCV testing | 0.419031 |
| HCV infection. Sites | 0.412938 |
| public health | 0.302319 |
| HCV risk factors | 0.3908 |
| viral hepatitis | 0.344498 |
| chronic HCV infection | 0.454018 |
| chronic viral hepatitis | 0.272712 |
| common bloodborne infection | 0.279791 |
|
| continued HCV transmission | 0.442475 |
| HCV RNA test | 0.489949 |
| past HCV infection | 0.455516 |
| HCV testing technologies | 0.408619 |
| HCV surveillance data | 0.401019 |
| HCV nucleic acid | 0.405707 |
| positive HCV antibody | 0.681739 |
| positive antibody test | 0.291438 |
| virus infection | 0.278533 |
| current HCV infection | 0.825975 |
| persons | 0.441238 |
| hepatitis c virus | 0.36675 |
| new york state | 0.280464 |
| previous resolved infection | 0.280055 |
| New Mexico | 0.279707 |
| HCV testing recommendations | 0.449958 |
| et al | 0.278757 |
| positive HCV RNA | 0.536919 |
| HCV antibody | 0.871235 |
| HCV RNA results | 0.448499 |
| commonly reported disease | 0.273603 |
| positive test results | 0.293679 |
| positive result | 0.289426 |
|
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| 9376 |
Centers for Disease Control and Prevention |
Html |
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Lleve la salud al corazón de su vecindario (TNH2H): Diseño de un sistema de datos participativo basado en la comunidad |
CDC - Wide Page example description goes here |
| Leah M | 0.617735 |
| comunidad deborah s | 0.712429 |
| Iwasaki PG | 0.617517 |
| Steiner E | 0.626434 |
| Haverhals LM | 0.624734 |
| Ware G | 0.626556 |
| Patricia G | 0.623246 |
| Fedde K | 0.618841 |
|
| Burry M | 0.634395 |
| community-based participatory | 0.636826 |
| Salud Pública | 0.630234 |
| Taking Neighborhood Health | 0.982911 |
| Main DS | 0.63209 |
| Emily Steiner | 0.625369 |
| Katherine Fedde | 0.624241 |
| Chronic Dis | 0.629738 |
|
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Centers for Disease Control and Prevention |
Html |
en |
What Is Lung Cancer? |
An overview of lung cancer, how it spreads, and the two main types. |
| main types | 0.552337 |
| organ | 0.438409 |
| organs | 0.500822 |
| disease | 0.439882 |
| cancer cells | 0.541447 |
| control | 0.43957 |
| body | 0.478059 |
| brain | 0.435683 |
|
| lung cancer | 0.967445 |
| metastases | 0.455432 |
| nodes | 0.449239 |
| cell lung cancer | 0.853114 |
| small cell lung | 0.754205 |
| National Cancer Institute | 0.658584 |
| lungs | 0.602042 |
| Non-small cell lung | 0.803063 |
|
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| 11366 |
Centers for Disease Control and Prevention |
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Disease Detective: Ute - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Ebola labs | 0.711669 |
| real-time polymerase chain | 0.634034 |
| Ute | 0.538195 |
| questions | 0.424113 |
| Ebola disease | 0.6892 |
| Ebola symptoms | 0.697504 |
| Ebola virus | 0.684061 |
| Ebola outbreak | 0.689523 |
| blood sample | 0.512628 |
| little girl | 0.511066 |
| RT-PCR | 0.428182 |
| non-Ebola clinic | 0.515638 |
| contact-tracing teams | 0.514878 |
| negative test | 0.511979 |
| state | 0.424072 |
| remote parts | 0.522665 |
| personal protective equipment | 0.606369 |
| CDC epidemiologists | 0.559835 |
| Health care workers | 0.613085 |
| art equipment | 0.531084 |
| diagnosis | 0.443668 |
| lab test | 0.505482 |
| CDC mobile labs | 0.665231 |
| Ebola outbreaks | 0.730633 |
| laboratory | 0.424087 |
|
| treatment centers | 0.730305 |
| sophisticated lab | 0.523571 |
| Ebola patients | 0.699126 |
| Ebola | 0.979317 |
| big outbreak | 0.534542 |
| dramatic event | 0.516205 |
| fever | 0.451465 |
| CDC expert | 0.558695 |
| African Ebola treatment | 0.826449 |
| major city | 0.526999 |
| world | 0.439549 |
| Atlanta | 0.421805 |
| end | 0.421246 |
| patient management | 0.519124 |
| reaction | 0.421661 |
| urgently needed answers | 0.634388 |
| Ebola treatment center | 0.833066 |
| people | 0.438969 |
| Ebola patient | 0.7501 |
| CDC headquarters | 0.557204 |
| worst viruses | 0.522132 |
| West Africa | 0.641646 |
| Uganda | 0.420524 |
| strategy | 0.421886 |
|
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Html |
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CDC In The News | Ebola |
null |
| Global Migration Taskforce | 0.301998 |
| National Public Radio | 0.314629 |
| all-female Ebola-fighting team | 0.307152 |
| Ebola virus | 0.576386 |
| David Daigle | 0.303221 |
| Dr. Knust | 0.288767 |
| World Economic Forum | 0.307243 |
| Disease Control | 0.293616 |
| Seoul-Hosted GHSA Meeting | 0.314571 |
| Detectives Tracking Ebola | 0.553483 |
| Ebola concerns | 0.526413 |
| African CDC | 0.399116 |
| CDC responders | 0.402145 |
| Emergency Operations Center | 0.303314 |
| ebola case | 0.524299 |
| Ebola workers | 0.53056 |
| Wolf Blitzer interviews | 0.303727 |
| latest Ebola developments | 0.555109 |
| Dr. Barbara Knust | 0.333062 |
| smartphone coaching app | 0.3122 |
| CDC director highlights | 0.482828 |
| Confirms First Ebola | 0.503124 |
| Ebola | 0.891764 |
| MD Magazine | 0.270544 |
| Ebola epidemic | 0.565728 |
|
| Emergency Operating Center | 0.323247 |
| Dr. Leisha Nolen | 0.335696 |
| United States | 0.29793 |
| Sierra Leone | 0.313086 |
| pbs newshour | 0.446082 |
| Sabrina Gibbons | 0.302019 |
| Ebola cases | 0.534474 |
| new Ebola vaccine | 0.572325 |
| Dr. Nolen | 0.286564 |
| global plan | 0.268564 |
| Ebola Outbreak | 0.562393 |
| CDC launch Ebola | 0.730288 |
| Director Talks Ebola | 0.594289 |
| WSB | 0.270176 |
| Director Thomas Frieden | 0.475136 |
| Dr. Francisco Alvarado-Ramy | 0.388652 |
| CDC partners | 0.399309 |
| cdc director | 0.575071 |
| CDC honors staff | 0.444918 |
| Ebola response | 0.51264 |
| Public Health Preparedness | 0.298853 |
| killer disease | 0.26755 |
| Liberia Dedicates U.S. | 0.330502 |
| West Africa | 0.442141 |
|
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Update: Influenza Activity - United States, September 28,2014-February 21, 2015 |
World Health Organization Collaborating Center for Surveillance, Epidemiology, and Control of Influenza, Tiffany D'Mello, MPH1, Lynnette Brammer, MPH1, Lenee Blanton, MPH1, Krista Kniss, MPH1, Sophie Smith, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Rosaline Dhara, MPH1, Jessica Cohen, MPH1, Sandra S. Chaves, MD1, Lyn Finelli, DrPH1, Joseph Bresee, MD1, Teresa Wallis, MS1, Xiyan Xu, MD1, Anwar Isa Abd Elal, BScCS1, Larisa Gubareva, PhD1, David Wentworth, PhD1, Julie Villanueva, PhD1, Jackie Katz, PhD1, Daniel Jernigan, MD1 (Author affiliations at end of text). |
| influenza | 0.978728 |
| influenza hospitalization surveillance | 0.534069 |
| CDC influenza surveillance | 0.411052 |
| little influenza virus | 0.407231 |
| United States | 0.453028 |
| novel influenza | 0.45652 |
| quadrivalent influenza vaccine | 0.427604 |
| influenza A viruses | 0.520733 |
| Northern Hemisphere vaccines | 0.326572 |
| clinician-ordered influenza testing | 0.398363 |
| influenza symptoms | 0.382707 |
| Hemisphere influenza vaccine | 0.466244 |
| current influenza season | 0.417849 |
| New York City | 0.317899 |
| influenza B component | 0.41487 |
| Northern Hemisphere | 0.347564 |
| influenza antiviral medications | 0.403219 |
| influenza B viruses | 0.607042 |
| high ILI activity | 0.389279 |
| U.S. Virgin Islands | 0.313968 |
| Cities Mortality Reporting | 0.309247 |
| laboratory-confirmed influenza | 0.473372 |
| influenza A virus | 0.451747 |
|
| Southern Hemisphere influenza | 0.46667 |
| Influenza surveillance reports | 0.40768 |
| influenza vaccine | 0.513567 |
| New York | 0.341873 |
| Rhode Island | 0.311441 |
| influenza season | 0.534574 |
| influenza B infection | 0.390847 |
| World Health Organization | 0.356284 |
| influenza activity | 0.497726 |
| quadrivalent influenza vaccines | 0.424176 |
| laboratory-confirmed influenza infection | 0.419615 |
| U.S. influenza activity* | 0.447748 |
| Enteric Virus Surveillance | 0.318182 |
| influenza vaccination | 0.382954 |
| recent influenza | 0.379428 |
| influenza seasons | 0.455118 |
| ILI activity | 0.43243 |
| influenza surveillance | 0.422641 |
| influenza viruses | 0.597664 |
| influenza virus | 0.42062 |
| influenza-associated hospitalizations | 0.309312 |
| vaccine-like influenza | 0.384414 |
| additional Influenza Hospitalization | 0.409698 |
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Announcements: National Youth HIV and AIDS Awareness Day -April 10, 2015 |
National Youth HIV and AIDS Awareness Day on April 10 is the first awareness day to recognize the specific impact of HIV/AIDS epidemic on young persons. A disproportionate number of new HIV infections occurs among youths (1). In the United States, young persons aged 13–24 years accounted for an estimated 26% of all new HIV infections in 2010 (1). |
| National HIV/AIDS Strategy | 0.370567 |
| Task Force | 0.228526 |
| new HIV infections | 0.848565 |
| National Youth HIV | 0.791146 |
| Human Services | 0.336719 |
| HIV prevention | 0.661567 |
| Act Against AIDS | 0.232225 |
| health risk behaviors | 0.376694 |
| U.S. Department | 0.336949 |
| MMWR HTML versions | 0.325848 |
| public health departments | 0.343801 |
| blacks/African Americans | 0.231946 |
| local school-based surveys | 0.343602 |
| electronic PDF version | 0.316196 |
| special emphasis | 0.231528 |
| skill building | 0.227783 |
| prevent HIV | 0.422156 |
| Additional information | 0.225109 |
| Contact GPO | 0.24192 |
| lifelong health | 0.241402 |
| AIDS Awareness | 0.362483 |
| specific impact | 0.248873 |
| community-based organizations | 0.224882 |
| age groups | 0.236425 |
|
| U.S. high school | 0.356176 |
| HIV/AIDS epidemic | 0.273465 |
| original paper copy | 0.320217 |
| high risk | 0.239395 |
| multifaceted approach | 0.234759 |
| new infections | 0.253618 |
| United States | 0.246915 |
| U.S. Government Printing | 0.33131 |
| original MMWR paper | 0.32201 |
| disproportionate number | 0.261882 |
| youths | 0.239283 |
| MMWR readers | 0.229072 |
| high-risk groups | 0.231826 |
| health services | 0.249437 |
| CDC funds | 0.306883 |
| education agencies | 0.227801 |
| HIV prevention education | 0.546844 |
| risk reduction interventions | 0.367703 |
| HIV/AIDS prevention | 0.353172 |
| behavioral interventions | 0.240715 |
| tribal government | 0.22965 |
| young persons | 0.933239 |
| community settings | 0.228763 |
| HIV prevention interventions | 0.585743 |
|
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Caring for Someone Sick with Influenza |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| rest | 0.27701 |
| hands | 0.335114 |
| chin | 0.272349 |
| tissues | 0.27175 |
| alcohol-based hand rub | 0.664779 |
| sick person | 0.926219 |
| people | 0.258366 |
| house | 0.25821 |
| home | 0.26396 |
|
| face | 0.277354 |
| sick children | 0.576214 |
| Wash | 0.304902 |
| laundry | 0.264433 |
| close contact | 0.747259 |
| time | 0.254732 |
| shoulder | 0.268717 |
| Stay | 0.27855 |
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