| 4567 |
Centers for Disease Control and Prevention |
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CDC - Mobile at CDC |
CDC Mobile Activities: Mobile Web, Mobile Apps and Text Messaging. Download mobile apps for iOS, Android and Windows 8. View CDC content on your mobile device. Sign up for text messages to get alerts and important health tips delivered directly to your mobile phone.
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| family weather | 0.607792 |
| storm | 0.446115 |
| work | 0.435157 |
| iTunes App Store | 0.931566 |
| Mobile apps | 0.756292 |
| version | 0.434127 |
| mobile device | 0.62605 |
| real-life Disease Detectives | 0.898742 |
| Outbreak | 0.478834 |
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| CDC.gov | 0.434051 |
| fascinating peek | 0.713155 |
| Google Play | 0.626372 |
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| hurricane season | 0.63268 |
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Rhode Island Activities to Prevent HAIs |
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| MPEG | 0.446113 |
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| recent work | 0.786869 |
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| 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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Centers for Disease Control and Prevention |
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Fact Sheet: Protect Yourself Against H3N2v |
Protect Yourself Against H3N2v - CDC |
| Variant | 0.632991 |
| file | 0.410062 |
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| InfluenzaError processing SSI | 0.987247 |
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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 |
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| HCV infection | 0.918931 |
| United States | 0.370475 |
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| U.S. sites | 0.288446 |
| New York City | 0.344376 |
| generation HCV antibody | 0.429869 |
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| current infection | 0.354027 |
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| HCV antibody test | 0.58876 |
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| HCV infection. Sites | 0.412938 |
| public health | 0.302319 |
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|
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| 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 |
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| positive result | 0.289426 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Recruiting Women for a Study on Perceived Risk of Cancer: Influence of Survey Topic Salience and Early Versus Late Response - CDC |
Understanding the characteristics of early and late survey responders has implications for recruitment efforts and for informing potential response bias. The main objective of this analysis was to examine survey responder status (ie, early vs late response) by sociodemographic characteristics and by salience of study variables among respondents. |
| responder status | 0.83288 |
| average risk | 0.521671 |
| baseline early responders | 0.580608 |
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| survey responder status | 0.617945 |
| objective risk | 0.524358 |
| family cancer history | 0.516162 |
| late responders | 0.988461 |
| early responders | 0.751678 |
| Henry Ford Health | 0.507322 |
| baseline survey participation | 0.527499 |
| baseline responder status | 0.569314 |
| follow-up survey responder | 0.536602 |
| late responder status | 0.519995 |
| ovarian cancer | 0.836871 |
| response rate | 0.543898 |
| baseline survey response | 0.537962 |
| follow-up survey | 0.803151 |
| follow-up surveys | 0.630977 |
| baseline interview | 0.504709 |
| baseline survey responder | 0.577549 |
| follow-up survey refusal | 0.515641 |
| late survey responders | 0.587338 |
| follow-up survey reminder | 0.519759 |
| sociodemographic characteristics | 0.542547 |
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| survey wave administration | 0.511805 |
| women | 0.594886 |
| study | 0.511972 |
| follow-up survey wave | 0.50986 |
| Baseline survey administration | 0.537335 |
| Follow-up survey interviews | 0.527262 |
| genetic counseling | 0.676044 |
| personal history | 0.584713 |
| baseline survey responders | 0.602586 |
| baseline survey interviews | 0.541104 |
| ovarian cancer history | 0.50718 |
| ovarian cancer risk | 0.539925 |
| baseline interview participation | 0.50115 |
| follow-up survey interview | 0.52274 |
| potential response bias | 0.519112 |
| breast cancer | 0.645411 |
| baseline survey | 0.776836 |
| genetic counseling referral | 0.499824 |
| follow-up survey analysis | 0.520198 |
| 12-month follow-up surveys | 0.502675 |
| family history | 0.550761 |
| response | 0.550218 |
| risk | 0.558037 |
| baseline survey respondents | 0.557118 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
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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 |
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| 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 |
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| 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 |
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| 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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CDC In The News | Ebola |
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| 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 |
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| 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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Links to Other Websites | Autism Spectrum Disorder (ASD) | NCBDDD |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| Health Services Administration | 0.363131 |
| mental health | 0.511486 |
| Autism Source | 0.477483 |
| Human Services | 0.410762 |
| National Dissemination Center | 0.385568 |
| national autism resource | 0.602778 |
| Health Insurance Program | 0.379756 |
| Interagency Autism Coordinating | 0.474446 |
| children | 0.44938 |
| National Mental Health | 0.432298 |
| young children | 0.404584 |
| autism spectrum disorders | 0.950951 |
| Mental Health Information | 0.41959 |
| autism spectrum disorder | 0.664866 |
| health care providers | 0.373778 |
| National Institutes | 0.456183 |
| developmental disabilities | 0.57264 |
| National Center | 0.502885 |
| mental health services | 0.467009 |
| Autism resource list | 0.451555 |
| health care services | 0.361478 |
| autism community | 0.463597 |
| Journey Through Autism | 0.457729 |
| Health Information Center | 0.430232 |
| autism diagnosis | 0.460306 |
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| Health Autism Coordinating | 0.491657 |
| autism research activities | 0.465558 |
| Autism Society | 0.487517 |
| low-cost health insurance | 0.372817 |
| special health care | 0.349163 |
| autism research | 0.666775 |
| Autism Genetics Initiative | 0.449826 |
| Autism Genetic Resource | 0.462149 |
| Health Services Locator | 0.40076 |
| autism genetics | 0.459521 |
| Autism Coordinating Committee | 0.508426 |
| Autism Centers | 0.41537 |
| Autism Speaks | 0.495882 |
| mental health professionals | 0.348644 |
| special education | 0.407137 |
| health care | 0.475594 |
| Autism Speaks Transition | 0.429806 |
| national autism organizations | 0.516786 |
| Autism services | 0.427532 |
| health | 0.544467 |
| loan repayment programs | 0.349941 |
| Operation Autism | 0.459273 |
| National Autism Center | 0.579524 |
| National Association | 0.351881 |
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Diversion Alert: 1-Year Evaluation Across Northern NewEngland, 2013-2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| Prescription drug diversion | 0.615174 |
| future diversion | 0.518528 |
| Maine. 2Diversion Alert | 0.477059 |
| Maine survey respondents | 0.497338 |
| Maine | 0.531803 |
| prescription drug misuse | 0.53155 |
| prescription drug trafficking | 0.498231 |
| Alert data complement | 0.484201 |
| opioid prescription | 0.476747 |
| prescription abuse/diversion problem | 0.512517 |
| drug arrest records | 0.482442 |
| Diversion Alert arrest | 0.567994 |
| undetected diversion | 0.521078 |
| 4-point Likert scale | 0.480595 |
| Maine respondents | 0.523881 |
| drug arrest data | 0.513348 |
| instances prescription drug | 0.507753 |
| prescription drug abuse | 0.630357 |
| illegal prescription drug | 0.510683 |
| medical professionals | 0.494139 |
| prescription drugs | 0.539172 |
| address prescription drug | 0.515556 |
| conviction data | 0.47911 |
| health care providers | 0.493293 |
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| law enforcement | 0.605264 |
| monthly drug arrest | 0.481662 |
| illegal drug crimes | 0.474994 |
| searchable drug arrest | 0.481548 |
| prescription drug | 0.772013 |
| Diversion Alert data | 0.587449 |
| ongoing prescription drug | 0.522415 |
| Diversion Alert report | 0.614648 |
| public drug arrest | 0.506533 |
| patients | 0.544311 |
| prescription drug possession | 0.502435 |
| prescription drug monitoring | 0.57867 |
| prescription painkillers | 0.491265 |
| illegal drug charge | 0.476856 |
| drug monitoring programs | 0.513449 |
| prescription opioid misuse | 0.51994 |
| drug arrest | 0.51638 |
| New Hampshire | 0.692381 |
| drug charge data | 0.575051 |
| Diversion Alert evaluation | 0.575262 |
| medical office staff | 0.497817 |
| Diversion Alert | 0.921073 |
| Drug Enforcement Agency | 0.479943 |
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