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Centers for Disease Control and Prevention |
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Ten Things to Know about Valley Fever | CDC Features |
Valley fever is a fungal respiratory disease that can be devastating. Learning about valley fever can help you and your doctor recognize the symptoms early. |
| CDC.gov Current Features | 0.906892 |
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Centers for Disease Control and Prevention |
Image |
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Photo of live Dungeoness Crab (700W x 933H) |
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| 4985 |
Centers for Disease Control and Prevention |
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en |
Safe Injection Practices - Injections Safety |
This page illustrates Sections III.A.1.b, III.A.1.c, IV.H, and IV.I from the 2007 Guideline for Isolation Precautions: Preventing Transmission of Infectious Agents in Healthcare Settings |
| Infectious Disease Society | 0.293237 |
| intravenous medication | 0.265907 |
| central venous catheters | 0.293902 |
| Emerging Infections Network | 0.289071 |
| large outbreaks | 0.275196 |
| hematology/oncology clinic | 0.224114 |
| IV.I. Infection control | 0.319396 |
| multiple-dose vials | 0.253283 |
| Healthcare Infection Control | 0.33329 |
| III.A.1.c. Infection Control | 0.338808 |
| face mask | 0.295653 |
| ambulatory care facilities | 0.323603 |
| epidural anesthesia | 0.316622 |
| recent outbreaks | 0.258179 |
| intravenous infusion bag | 0.310436 |
| safe injection practices | 0.673714 |
| single-dose vials | 0.442682 |
| Lumbar Puncture Procedues | 0.379927 |
| multiple patients | 0.821179 |
| sterile gloves | 0.22943 |
| outbreaks | 0.282427 |
| Category | 0.302596 |
| United States | 0.221607 |
| intravenous bags | 0.231964 |
| infection control | 0.904944 |
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| multidose vials | 0.31797 |
| infection control practice | 0.363468 |
| lumbar puncture procedures | 0.359667 |
| syringe | 0.279321 |
| primary breaches | 0.227949 |
| patient treatment area | 0.28172 |
| bacterial meningitis | 0.316368 |
| spinal anesthesia | 0.235285 |
| basic principles | 0.318879 |
| infection control practices | 0.879092 |
| sterile injection equipment | 0.345988 |
| lumbar puncture | 0.656844 |
| spinal procedures | 0.296895 |
| parenteral medications | 0.324568 |
| face masks | 0.275749 |
| Healthcare Settings | 0.221492 |
| Practices Advisory Committee | 0.307303 |
| aseptic technique | 0.548019 |
| IV.H. Safe injection | 0.321223 |
| antiseptic skin preparations | 0.298413 |
| healthcare workers | 0.292226 |
| special lumbar puncture | 0.543027 |
| unsafe injection practices | 0.358192 |
| intravenous solution | 0.234042 |
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Centers for Disease Control and Prevention |
Html |
en |
Winnable Battles - HIV |
HIV prevention is a winnable battle. There are more than 1 million people living with HIV in the U.S. |
| Winnable Battle materials | 0.516709 |
| significant impact | 0.212517 |
| additional effort | 0.215583 |
| United States | 0.231477 |
| programmatic interventions | 0.249125 |
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| public health partners | 0.349035 |
| cost-effective strategies | 0.224435 |
| HIV Winnable Battle | 0.953258 |
| HIV prevention | 0.370482 |
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Centers for Disease Control and Prevention |
Html |
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Tourette Syndrome, Information for Health Professionals - NCBDDD |
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| health professionals | 0.907979 |
| MPEG | 0.216863 |
| Tourette Association | 0.668942 |
| email address | 0.833478 |
| different file formats | 0.829387 |
| CDC tracking | 0.594502 |
| order materials | 0.584742 |
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| co-occurring conditions | 0.655233 |
| prevalence | 0.236841 |
| PPT | 0.259968 |
| topic | 0.347219 |
| DOC | 0.209556 |
| information | 0.346713 |
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Centers for Disease Control and Prevention |
Html |
en |
Colorectal Cancer Tests Save Lives |
CDC Vital Signs - Colorectal Cancer Tests Save Lives infographics |
| entire colon | 0.602948 |
| Small risk | 0.555085 |
| death | 0.467678 |
| test kit | 0.555718 |
| abnormal growths | 0.569511 |
| adults | 0.499642 |
| Safe | 0.434339 |
| percent | 0.658111 |
| Family history | 0.568039 |
| sedation | 0.436986 |
| anesthesia | 0.430684 |
| positive colonoscopy | 0.574188 |
| gas | 0.429418 |
| colorectal cancer testing | 0.880863 |
| table | 0.434446 |
| polyps | 0.706533 |
| colorectal cancer | 0.994757 |
| complications | 0.429317 |
| clear liquid diet | 0.669774 |
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| Likely needs | 0.561925 |
| loose bowel movements | 0.687667 |
| medication | 0.429867 |
| blood | 0.432557 |
| inflammatory bowel disease | 0.724449 |
| Provider | 0.503194 |
| home | 0.466184 |
| Stomach pain | 0.555054 |
| doctor | 0.430556 |
| work/activities | 0.430801 |
| cancer testing status | 0.726956 |
| colon | 0.643192 |
| cancers | 0.480433 |
| time | 0.430094 |
| stool samples | 0.573855 |
| brief close contact | 0.687253 |
| positive test results | 0.682361 |
| Personal history | 0.567095 |
| age | 0.464835 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Effects of Messages Emphasizing Environmental Determinants of Obesity on Intentions to Engage in Diet and Exercise Behaviors - CDC |
Volume 10 — December 12, 2013. |
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Centers for Disease Control and Prevention |
Video |
en |
My health, my choice, my future. |
Right now, you're looking out for you—and that's a good thing. Your health is really important to help you achieve your goals and fulfill your dreams. Find out how to take care of yourself now—and for the 'you' of the future.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/CDCTV/PreHealth_Jada/index.html |
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| 13946 |
Centers for Disease Control and Prevention |
Html |
en |
Driving Under the Influence of Alcohol, Marijuana, andAlcohol and Marijuana Combined Among Persons Aged 16-25 Years -United States, 2002-2014 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| sobriety checkpoints | 0.391168 |
| Logistic regression analysis | 0.3787 |
| Health Services Administration | 0.463964 |
| U.S. civilian population | 0.380007 |
| marijuana | 0.911705 |
| binge drinking | 0.382195 |
| influence | 0.868603 |
| affirmative response | 0.419809 |
| system.§ Unweighted sample | 0.385545 |
| minimum legal drinking | 0.461823 |
| Margaret E. Mattson | 0.392231 |
| household face-to-face interviews | 0.383047 |
| alcohol | 0.779432 |
| legal drinking age | 0.4639 |
| Motor vehicle accidents | 0.392293 |
| driver licensing programs | 0.383985 |
| weekend nighttime | 0.478794 |
| marijuana initiation | 0.469171 |
| persons | 0.462689 |
| mass media campaigns | 0.382915 |
| MMWR
Alejandro Azofeifa | 0.396082 |
| young adults | 0.3913 |
| marijuana use habits | 0.467018 |
| Behavior Health Statistics | 0.434927 |
| marijuana users | 0.482755 |
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| self-reported national estimates | 0.399207 |
| Prevalence data | 0.385608 |
| reported prevalence | 0.442842 |
| important public health | 0.37871 |
| age group | 0.419432 |
| marijuana-related driving impairment | 0.415706 |
| Substance Abuse | 0.388563 |
| prevention efforts | 0.382603 |
| motor vehicle | 0.393994 |
| marijuana legislation | 0.461883 |
| prevalence | 0.482844 |
| illegal drugs | 0.470138 |
| law enforcement | 0.432417 |
| illicit drug | 0.474706 |
| alcohol level | 0.417296 |
| weekend nighttime drivers | 0.447039 |
| alcohol increase | 0.407355 |
| Alejandro Azofeifa | 0.398249 |
| survey cycles | 0.388433 |
| high school students | 0.394021 |
| past-year marijuana | 0.601162 |
| Mental Health Services | 0.463974 |
| psychoactive substances | 0.421489 |
| drinking age laws | 0.398695 |
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Centers for Disease Control and Prevention |
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Trends in Early Childhood Obesity in a Large Urban SchoolDistrict in the Southwestern United States, 2007-2014 |
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. |
| data | 0.4085 |
| childhood obesity epidemic | 0.524131 |
| statewide obesity surveillance | 0.481072 |
| obesity prevalence trends | 0.514481 |
| early childhood obesity | 0.530072 |
| New York City | 0.455605 |
| orthopedic impairment | 0.387329 |
| following special education | 0.437561 |
| language impairment | 0.389947 |
| unadjusted severe obesity | 0.497591 |
| obesity prevention | 0.471758 |
| obesity prevalence | 0.655728 |
| American Indian students | 0.575764 |
| body mass index | 0.460848 |
| traumatic brain injury | 0.443994 |
| obesity risk | 0.444316 |
| special education designations | 0.442947 |
| metropolitan school district | 0.525924 |
| non-Hispanic white students | 0.52647 |
| CDC sex-specific BMI-for-age | 0.476282 |
| school district | 0.670097 |
| BMI ≥85th percentile | 0.390277 |
| pediatric obesity | 0.462679 |
| severe obesity | 0.98978 |
| 95th percentile | 0.55647 |
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| school nurses | 0.409766 |
| obesity surveillance systems | 0.497353 |
| unadjusted obesity | 0.453849 |
| obesity trends | 0.517328 |
| childhood obesity incidence | 0.465297 |
| diverse metropolitan school | 0.389963 |
| BMI ≥5th percentile | 0.390306 |
| disability status | 0.518444 |
| visual impairment | 0.389939 |
| southwestern united states | 0.601159 |
| urban school district | 0.451274 |
| adjusted prevalence | 0.428978 |
| public health | 0.395002 |
| American Indian race | 0.407234 |
| obesity surveillance project | 0.528933 |
| New Mexico | 0.491109 |
| obesity surveillance | 0.549092 |
| childhood obesity | 0.693085 |
| district-wide obesity surveillance | 0.483603 |
| district-wide obesity prevention | 0.465148 |
| obesity prevention reforms | 0.463882 |
| severe obesity prevalence | 0.511774 |
| BMI-for-age growth charts | 0.478255 |
| kindergarten students | 0.48101 |
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