| 7163 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Use Among Middle and High School Students --- United States, 2000--2009 |
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. |
| Human Services | 0.355667 |
| small brown cigarettes | 0.354378 |
| tobacco tax increases | 0.385894 |
| tobacco control programs | 0.461921 |
| smoking cigarettes | 0.393194 |
| Youth Tobacco Survey | 0.457658 |
| tobacco | 0.71194 |
| current smoking | 0.364864 |
| overall tobacco | 0.377879 |
| Tobacco Control Act§§ | 0.387488 |
| comprehensive tobacco control | 0.556176 |
| tobacco brand | 0.370583 |
| cigarette smoking experimentation | 0.71545 |
| study period | 0.423453 |
| tobacco industry | 0.370738 |
| high school smoking | 0.388671 |
| current cigarette | 0.585568 |
| tobacco products | 0.412717 |
| school response rate | 0.358339 |
| cigarette smoking* | 0.38427 |
| cigarettes | 0.42525 |
| Tobacco Free Kids | 0.385745 |
| Family Smoking Prevention | 0.361778 |
| current tobacco | 0.560405 |
|
| youth cigarette | 0.39948 |
| adult smoking rates | 0.362755 |
| susceptibility | 0.408112 |
| United States | 0.449334 |
| best friends | 0.354729 |
| high school dropout | 0.358967 |
| youths | 0.351633 |
| cigarette smoking | 0.800541 |
| current smoker | 0.36399 |
| overall declines | 0.406999 |
| tobacco pipes | 0.366375 |
| tobacco product | 0.413446 |
| overall decline | 0.36265 |
| middle school students | 0.667282 |
| tobacco related indicators | 0.385867 |
| national YRBS | 0.352459 |
| high school students | 0.982298 |
| tobacco control policies | 0.463523 |
| adult tobacco | 0.370299 |
| National Youth Tobacco | 0.457591 |
| youth smoking | 0.351138 |
| smokeless tobacco | 0.534416 |
| cigarette packages | 0.377198 |
| quadratic analyses | 0.359001 |
|
CLICK HERE |
| 7783 |
Centers for Disease Control and Prevention |
Html |
en |
Health Communication Basics - How Do I Do It? |
Gateway to Health Communication - How Do I Do It? |
| social marketing campaign | 0.395816 |
| news event | 0.282126 |
| promise | 0.235034 |
| walking clubs | 0.278978 |
| strategic plan | 0.294051 |
| test message frames | 0.380366 |
| main goal | 0.287013 |
| clear problem description | 0.357798 |
| behavior change | 0.505816 |
| drug-free activities | 0.280997 |
| unexpected opportunities | 0.282699 |
| needs | 0.230455 |
| target audience segment | 0.380224 |
| core beliefs | 0.290671 |
| disease burden | 0.300628 |
| specific desired behavior | 0.354014 |
| training classes | 0.282058 |
| potential threats | 0.280235 |
| major tasks | 0.288765 |
| social marketing programs | 0.367425 |
| problem description | 0.359965 |
| benefits | 0.229979 |
| Formative research | 0.30312 |
| specific behaviors | 0.298708 |
|
| values | 0.229221 |
| market research | 0.354219 |
| target audience | 0.558618 |
| social marketing | 0.812729 |
| brief description | 0.289613 |
| social marketing effort | 0.499425 |
| Public health surveillance | 0.378565 |
| CDCynergy Lite homepage | 0.867701 |
| effective health communication | 0.385164 |
| careful thought | 0.298126 |
| CDCynergy Lite webpage | 0.465098 |
| change goal | 0.28206 |
| health communication plan | 0.502827 |
| process measures | 0.277981 |
| desires | 0.237489 |
| effective social marketing | 0.376558 |
| interventions | 0.251851 |
| social marketing program | 0.366716 |
| public health problem | 0.363136 |
| CDCynergy model | 0.30706 |
| HIV testing | 0.279282 |
| market strategy | 0.414812 |
| information | 0.316887 |
| audience research | 0.308824 |
|
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| 8443 |
Centers for Disease Control and Prevention |
Html |
en |
Bill's Biography - Bill's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Bill, a former smoker who has diabetes, had his leg amputated, and suffered kidney failure. |
| reason | 0.446428 |
| kidney problems | 0.609029 |
| stairs | 0.450616 |
| kidney failure | 0.638825 |
| poor circulation—made | 0.627698 |
| kidneys | 0.459773 |
| young people | 0.590173 |
| infant | 0.457989 |
| leg | 0.586239 |
| there. | 0.447659 |
| children | 0.54469 |
| heart disease | 0.620063 |
| smoking | 0.980363 |
| things | 0.454053 |
| open-heart surgery | 0.623144 |
|
| buddies | 0.459473 |
| dialysis treatments | 0.639038 |
| scariest thing—to wake | 0.819598 |
| sports | 0.446879 |
| makes | 0.452211 |
| stupid—one | 0.454095 |
| hard way | 0.627411 |
| blood | 0.449475 |
| Michigan | 0.45712 |
| Doctors | 0.450718 |
| eye | 0.446409 |
| Smoking cigarettes | 0.726821 |
| health problems | 0.787762 |
| teenage friend | 0.663879 |
| activities | 0.446815 |
|
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| 9229 |
Centers for Disease Control and Prevention |
Html |
en |
Notice to Readers: Final 2012 Reports of NationallyNotifiable Infectious Diseases |
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. |
| encephalitis virus disease | 0.904331 |
| equine encephalitis virus | 0.977619 |
| cases | 0.25264 |
| western equine encephalitis | 0.649114 |
| yellow fever | 0.445202 |
| United States | 0.437253 |
| smallpox | 0.208747 |
| syndrome-associated coronavirus disease | 0.633902 |
| anthrax | 0.209246 |
| virus infection | 0.400839 |
|
| eastern equine encephalitis | 0.651101 |
| chronic hepatitis | 0.424738 |
| Powassan virus | 0.436678 |
| poliomyelitis | 0.216254 |
| viral hemorrhagic fevers | 0.70881 |
| respiratory syndrome-associated coronavirus | 0.700036 |
| data quality review | 0.640176 |
| nonneuroinvasive disease | 0.344177 |
| hepatitis C virus | 0.403339 |
|
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| 9887 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Food Security and Cardiovascular Disease Risk Among Adults in the United States: Findings From the National Health and Nutrition Examination Survey, 2003"2008 - CDC |
Little is known about the relationship between food security status and predicted 10-year cardiovascular disease risk. The objective of this study was to examine the associations between food security status and cardiovascular disease risk factors and predicted 10-year risk in a national sample of US adults. |
| high school | 0.269415 |
| C-reactive protein | 0.384724 |
| food security status | 0.747281 |
| systolic blood pressure | 0.329966 |
| total cholesterol | 0.293411 |
| significant association | 0.244403 |
| health insurance status | 0.272665 |
| food-secure adults | 0.263596 |
| 10-year risk | 0.259409 |
| diastolic blood pressure | 0.254155 |
| smoking status | 0.244377 |
| food insecurity | 0.386078 |
| Nutrition Examination Survey | 0.254143 |
| health insurance coverage | 0.251161 |
| marginal food security | 0.351602 |
| low food security | 0.731234 |
| cardiovascular disease risk | 0.592412 |
| disease risk factors | 0.351887 |
| oral hypoglycemic medications | 0.29485 |
| food security questions | 0.270883 |
| urinary albumin–creatinine ratio | 0.303036 |
| educational status | 0.256606 |
| mild food insecurity | 0.25334 |
| mean concentration | 0.260951 |
|
| women | 0.262716 |
| study | 0.243411 |
| significant associations | 0.267169 |
| concentrations | 0.245346 |
| Community Food Security | 0.260098 |
| United States | 0.246776 |
| food secure participants | 0.29624 |
| adults | 0.309228 |
| reduced food intake | 0.252058 |
| 10-year cardiovascular disease | 0.372543 |
| Current Population Survey | 0.251096 |
| severe food insecurity | 0.286797 |
| non-HDL cholesterol | 0.244643 |
| food insecure avail | 0.246542 |
| hba1c | 0.259108 |
| participants | 0.372054 |
| BMI | 0.247564 |
| fully food | 0.27413 |
| unadjusted food security | 0.262533 |
| HDL cholesterol | 0.25935 |
| food security questionnaire | 0.268746 |
| food security | 0.940207 |
| Adult food security | 0.268867 |
| diabetes | 0.243475 |
|
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| 11206 |
Centers for Disease Control and Prevention |
Html |
es |
Protéjase contra el virus respiratorio sincitial |
El virus respiratorio sincitial es común en el otoño, el invierno y la primavera. Por lo general, causa síntomas leves similares a los del resfrío. Sin embargo, puede ser grave, especialmente en bebés y adultos de edad avanzada. Lávese las manos con frecuencia para ayudar a proteger a su hijo y a los demás de este virus. |
| Archivo Apple Quicktime | 0.32404 |
| Archivo RealPlayer | 0.315524 |
| CDC Enfermedad | 0.317986 |
| Archivo Microsoft PowerPoint | 0.326502 |
| Archivo Adobe PDF | 0.32408 |
| busque vrs | 0.338456 |
| personas enfermas | 0.319874 |
|
| Estados Unidos | 0.316327 |
| Archivo Microsoft | 0.36486 |
| Archivo Microsoft Word | 0.326165 |
| respiratorio sincitial causa | 0.381495 |
| virus respiratorio | 0.959887 |
| Archivo Zip Comprimido | 0.323709 |
| Archivo Microsoft Excel | 0.324196 |
|
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| 12167 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | PCR Detection and Characterization | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| PCR detection assay | 0.508695 |
| DNA polymerase | 0.486512 |
| hpd real-time PCR | 0.504205 |
| PCR reaction assembly | 0.527197 |
| real-time PCR assays | 0.706278 |
| S. pneumoniae | 0.622415 |
| PCR thermocycler | 0.479904 |
| real-time PCR analysis | 0.48753 |
| PCR assay lytA | 0.496116 |
| potential PCR inhibitors | 0.492842 |
| capsule synthesis | 0.481804 |
| PCR reagent concentrations | 0.480143 |
| multiplex PCR serotyping | 0.488271 |
| real-time PCR machine | 0.510375 |
| real-time PCR assay | 0.589628 |
| PCR reactions | 0.498096 |
| ATP-driven export region | 0.499278 |
| PCR products | 0.497818 |
| Real-time PCR technology | 0.509103 |
| commercial PCR master | 0.480994 |
| PCR grade water | 0.481736 |
| amplified PCR product | 0.516755 |
| H. influenzae | 0.76026 |
| capsule | 0.486269 |
| master mix | 0.528646 |
|
| real-time PCR plate | 0.491757 |
| PCR positive reaction | 0.49504 |
| capsule locus | 0.479866 |
| different real-time PCR | 0.488135 |
| N. meningitidis | 0.517501 |
| clinical specimens | 0.559145 |
| species-specific real-time pcr | 0.513642 |
| entire PCR run | 0.488107 |
| PCR reaction | 0.527452 |
| PCR hood | 0.478896 |
| PCR amplification | 0.492227 |
| Serogroup/serotype-specific real-time PCR | 0.500728 |
| detection | 0.529612 |
| DNA extraction | 0.510774 |
| bacterial meningitis pathogens | 0.518375 |
| template DNA | 0.478954 |
| real-time pcr | 0.905257 |
| PCR master mix | 0.507534 |
| PCR technologies | 0.483637 |
| DNA | 0.620192 |
| Multiplex real-time PCR | 0.518348 |
| serotype-specific real-time PCR | 0.50925 |
| PCR amplicons | 0.481752 |
| real-time PCR reaction | 0.501998 |
|
CLICK HERE |
| 12585 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips From Former Smokers -- Rose's Ad |
Rose developed lung cancer from smoking cigarettes. In this TV ad for CDC's Tips From Former Smokers campaign, she talks about her lung surgery and difficult recovery. Problems kept Rose in the hospital for a month with a plastic chest tube to drain fluids. Every day, she prayed that the painful tube would come out. Rose's tip is "Be careful what you wish for." There was more pain to come for Rose when the chest tube finally came out. Rose died in January 2015. She was 60.
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://streaming.cdc.gov/vod.php?id=c36ef09c47a5bfe7fc327c2bf5fcb4eb20140620143553593 |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| Rose | 0.658455 |
| YouTube | 0.871802 |
|
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| 13239 |
Centers for Disease Control and Prevention |
Html |
en |
Questions and Answers | Know Hepatitis B | CDC |
Questions and Answers | Know Hepatitis B | CDC |
| high rates | 0.343284 |
| Hepatitis B test | 0.509865 |
| family member | 0.340179 |
| Hepatitis | 0.9115 |
| Hepatitis B spread | 0.539204 |
| liver failure | 0.409037 |
| coughing | 0.308473 |
| lifelong illness | 0.385722 |
| internists | 0.30839 |
| long-term health problems | 0.367464 |
| young children | 0.338365 |
| Hepatitis B virus | 0.630103 |
| help protect family | 0.363056 |
| liver damage | 0.463008 |
| family members | 0.399679 |
| greater risk | 0.34038 |
| liver disease | 0.443874 |
| Pacific Islands | 0.372005 |
| prescription pills | 0.337406 |
| over-the-counter medications | 0.336412 |
| person spread Hepatitis | 0.562357 |
| body fluid | 0.338738 |
| symptoms | 0.322396 |
| infected mother | 0.364489 |
| Yes. Many people | 0.348869 |
|
| health problems | 0.422172 |
| multiple ways | 0.340211 |
| ways Hepatitis | 0.525214 |
| access medical treatments | 0.364363 |
| liver conditions | 0.371741 |
| Hepatitis B treatment | 0.496522 |
| Asian Americans | 0.340645 |
| chronic Hepatitis | 0.549504 |
| Hepatitis B-related liver | 0.575085 |
| AAPIs | 0.358895 |
| young child | 0.340116 |
| additional liver damage | 0.399671 |
| Hepatitis B. | 0.613249 |
| people | 0.57162 |
| liver specialists | 0.365185 |
| Pacific Islanders | 0.341306 |
| effective vaccine | 0.337087 |
| family medicine practitioners | 0.364164 |
| Hepatitis B infection | 0.520831 |
| n’t | 0.311572 |
| liver cancer | 0.406921 |
| time | 0.308616 |
| Hepatitis B. People | 0.53732 |
| infectious disease physicians | 0.364224 |
|
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| 14273 |
Centers for Disease Control and Prevention |
Html |
en |
Tools for Health Care Providers | Zika virus |
null |
| Health Care Providers | 0.962184 |
| CDC | 0.734542 |
|
|
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