| 920 |
Centers for Disease Control and Prevention |
Html |
en |
Current Cigarette Smoking Among Adults-United States, 2005-2012 |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| smoking prevalence | 0.981362 |
| NHIS | 0.222251 |
| population smoking prevalence | 0.776622 |
| media campaigns | 0.378643 |
| proportion | 0.414392 |
| overall smoking prevalence | 0.795457 |
| adults | 0.272139 |
| adult smoking | 0.460926 |
| daily smokers | 0.434464 |
| National Health Interview | 0.714489 |
| randomly selected adult | 0.688061 |
| comprehensive smoke-free laws | 0.639279 |
|
| cigarette smoking | 0.517417 |
| recent national estimates | 0.726728 |
| tobacco products | 0.398897 |
| in-person survey | 0.429544 |
| population-based interventions | 0.448499 |
| decline | 0.227897 |
| Organization MPOWER package | 0.65888 |
| tobacco control efforts | 0.652425 |
| evidence-based interventions | 0.42178 |
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| Healthy People | 0.453133 |
|
CLICK HERE |
| 4785 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - 2010 Haiti Cholera Outbreak: Cholera Confirmed in Haiti |
CDC - Global Health |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 8729 |
Centers for Disease Control and Prevention |
Html |
en |
State-Specific Prevalence of Walking Among Adults withArthritis - United States, 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. |
| M. Hootman PhD | 0.470898 |
| Arthritis Foundation Exercise | 0.568092 |
| arthritis patients | 0.567277 |
| increase aerobic capacity | 0.475233 |
| complex sample design | 0.474248 |
| Unadjusted prevalence estimates | 0.496983 |
| 6-week walking program | 0.573506 |
| low amounts | 0.485431 |
| physical activity programs | 0.613362 |
| sample size | 0.477056 |
| employee physical activity | 0.503172 |
| doctor-diagnosed arthritis | 0.554351 |
| evidenced-based physical activity | 0.503611 |
| social support | 0.555107 |
| arthritis status | 0.599282 |
| response rate | 0.550867 |
| rheumatoid arthritis | 0.550932 |
| respondents | 0.479514 |
| arthritis | 0.790589 |
| Jennifer M. Hootman | 0.529616 |
| total walking time | 0.578242 |
| Behavioral Risk Factor | 0.478335 |
| adults | 0.602683 |
| range | 0.475824 |
|
| sample BRFSS data | 0.480053 |
| arthritis pain | 0.538042 |
| total physical activity | 0.524531 |
| survey response rate | 0.534337 |
| arthritis symptoms | 0.567173 |
| Physical Activity Guidelines | 0.564825 |
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| 50 states | 0.658862 |
| Arthritis Foundation | 0.598341 |
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| worksite wellness programs | 0.474029 |
| marketing evidenced-based programs | 0.474462 |
| response rates | 0.518119 |
| median prevalence | 0.512218 |
| Kamil E. Barbour | 0.471326 |
| physical activity | 0.952753 |
| randomized controlled trial | 0.472287 |
| median survey response | 0.548892 |
| Chronic Disease Prevention | 0.469949 |
| evidence-based physical activity | 0.55556 |
| Age-adjusted prevalence estimates | 0.49642 |
| analytic sample size | 0.476007 |
|
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| 9190 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: January 24, 2013 |
CDC Media Relations - MMWR News Synopsis: January 24, 2013 |
| Salmonella | 0.592968 |
| CDC Director | 0.644421 |
| IIS data | 0.630926 |
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| accurate data | 0.552158 |
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| data quality | 0.552946 |
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| Widespread adoption | 0.548237 |
|
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| foodborne outbreaks | 0.72862 |
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| United States | 0.565676 |
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| New Feature | 0.580294 |
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| Immunization Practices | 0.645886 |
| immunization providers | 0.643618 |
| Advisory Committee | 0.548799 |
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| U.S. DEPARTMENT | 0.543717 |
| News | 0.515199 |
| Dr. Tom Frieden | 0.743482 |
| E. coli | 0.563404 |
| unpasteurized dairy products | 0.70318 |
| vaccine barcoding | 0.642477 |
| vaccine product information | 0.777382 |
| electronic health records | 0.682934 |
| U.S. children | 0.55664 |
|
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| 11143 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Trace Elements: Selenium |
null |
| white blotchy nails | 0.462341 |
| selenium contents | 0.620639 |
| selenium-deficient children | 0.441574 |
| selenium supplies | 0.638997 |
| blood concentrations | 0.486132 |
| mild nerve damage | 0.458719 |
| severe gastrointestinal problems | 0.466726 |
| serum selenium concentrations | 0.761838 |
| Regul Toxicol Pharmacol. | 0.458002 |
| U.S. children | 0.459644 |
| additional significant differences | 0.459139 |
| glutathione peroxidase activity | 0.471795 |
| Nutrition Examination Survey | 0.460549 |
| major dietary source | 0.487668 |
| Dietary Reference Intakes | 0.48109 |
| non-overlapping confidence limits | 0.459631 |
| individual organization Web | 0.457247 |
| Selenium functions | 0.672015 |
| selenium deficiency | 0.779768 |
| adequate serum concentrations | 0.497433 |
| NHANES survey period | 0.466451 |
| descriptive NHANES papers | 0.46225 |
| myxedematous endemic cretinism | 0.465382 |
| particular life stage | 0.463108 |
|
| selenium content | 0.673501 |
| glutathione peroxidase | 0.481303 |
| S. Selenium status | 0.650661 |
| currently recommended EAR | 0.467993 |
| nutrient intakes | 0.441827 |
| selenium absorption | 0.652526 |
| dietary selenium | 0.690117 |
| United States | 0.537459 |
| cancer chemopreventive agent | 0.465045 |
| Lida M. Selenium | 0.64372 |
| dietary intake | 0.516401 |
| selenium | 0.958262 |
| selenium-associated proteins | 0.469436 |
| J. Selenium deficiency | 0.663061 |
| selenium depletion | 0.653849 |
| Sorbo B. Hyposelaemia | 0.458421 |
| poor heart function | 0.4632 |
| daily nutrient intake | 0.472078 |
| categorical differences | 0.457928 |
| Trace element risk | 0.456667 |
| median serum selenium | 0.682857 |
| Serum selenium levels | 0.668829 |
| Trace Elem Res. | 0.461734 |
| Keshan disease | 0.471159 |
|
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| 12052 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Poliomyelitis Eradication - Nigeria, January2013-September 2014 |
Andrew Etsano, DLSHTM1, Rajni Gunnala, MD2, Faisal Shuaib, DrPH3, Eunice Damisa, MPH1, Pascal Mkanda, MBBS4, Richard Banda, MPH4, Charles Korir, MA4, Ogu Enemaku, PhD5, Melissa Corkum, MICD5, Samuel Usman, MBBS6, Lora B. Davis, DVM2, Gatei wa Nganda, MSc2, Cara C. Burns, PhD7, Frank Mahoney, MD2, John F. |
| environmental surveillance | 0.765499 |
| recent WPV1 cases | 0.654099 |
| polio eradication | 0.934148 |
| polio vaccine | 0.827169 |
| northern Nigeria | 0.642567 |
| oral poliovirus vaccine | 0.706318 |
| Public Health Emergency | 0.636282 |
| routine vaccination coverage | 0.623621 |
| inactivated polio vaccine | 0.762697 |
| national polio eradication | 0.688211 |
| northeastern Nigeria | 0.625412 |
| surveillance performance indicators | 0.709197 |
| AFP case detection | 0.655571 |
| SIAs | 0.742339 |
| AFP cases | 0.700197 |
| government health programs | 0.625 |
| WPV3 cases | 0.624241 |
| cVDPV2 transmission | 0.626102 |
| high-risk states | 0.875752 |
| polio eradication activities | 0.713748 |
| vaccination coverage | 0.625654 |
| Borno/Yobe transmission zone | 0.629939 |
| Polio surveillance | 0.661186 |
|
| routine immunization | 0.657651 |
| AFP surveillance performance | 0.673191 |
| Nigeria | 0.736994 |
| Global Polio Eradication | 0.714346 |
| Nigeria Polio Emergency | 0.722984 |
| OPV coverage | 0.652967 |
| permanent health teams | 0.623167 |
| World Health Organization | 0.636462 |
| subnational SIAs | 0.679245 |
| Partners Project Nigeria | 0.658741 |
| strengthened routine immunization | 0.623134 |
| polio eradication response | 0.679344 |
| Nigeria Office | 0.640543 |
| national SIAs | 0.681379 |
| WPV type | 0.626854 |
| World Health Assembly | 0.637354 |
| Kano transmission zone | 0.76771 |
| WPV cases | 0.669731 |
| oral polio vaccine | 0.689935 |
| adequate stool | 0.65892 |
| Nigeria Demographic | 0.627157 |
| surveillance gaps | 0.635641 |
| genomic sequence analysis | 0.770565 |
|
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| 13026 |
Centers for Disease Control and Prevention |
Video |
en |
Marlene's Vision Loss - Tips From Former Smokers |
Marlene smoked and started losing her vision at age 56. In this emotional video from CDC’s Tips From Former Smokers campaign, she talks about having macular degeneration and her fear of going blind.
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/tobacco/campaign/tips/videos/src/MARLENE_MACULAR_DEGENERATION_VIGNETTE_VCDC0263000H.mp4 |
| Marlene | 0.974831 |
| Smokers | 0.940006 |
| CDC | 0.922899 |
|
| Vision Loss | 0.969396 |
| YouTube | 0.89587 |
|
CLICK HERE |
| 13780 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Browse By Topic |
null |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
|
CLICK HERE |
| 15314 |
Centers for Disease Control and Prevention |
Html |
en |
Rocky Mountain Spotted Fever (RMSF) | CDC |
null |
| similar signs | 0.285339 |
| rash | 0.221181 |
| right antibiotic | 0.343169 |
| United States | 0.278065 |
|
| infected tick | 0.399179 |
| Rocky Mountain | 0.644319 |
| bacterial disease | 0.365707 |
|
CLICK HERE |
| 15901 |
Centers for Disease Control and Prevention |
Html |
en |
EIS Conference | Epidemic Intelligence Service |
The EIS Conference is a primary forum for EIS officers to present their epidemiologic activities. National and international participants represent EIS officers, their mentors, EIS alumni, and public health professionals. |
| high school | 0.315988 |
| Mortality Weekly Report | 0.433918 |
| Google Senior Fellow | 0.394501 |
| regulatory science | 0.318201 |
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| Dr. Hamburg | 0.35321 |
| Infectious Disease | 0.313566 |
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| leadership capacities | 0.319187 |
| Langmuir Lecturer | 0.682214 |
| Dr. Margaret Hamburg | 0.448541 |
| Boston University School | 0.43327 |
| New York City | 0.402953 |
| national disease surveillance | 0.438185 |
| Large-Scale Machine Learning | 0.405271 |
| Public Health. | 0.335822 |
| Langmuir Lecture | 0.881617 |
| Dr. Sandro Galea | 0.577349 |
| Robert A. Knox | 0.424327 |
| Abraham Lilienfeld | 0.337127 |
| 65th Annual EIS | 0.498468 |
| 66th Annual EIS | 0.522191 |
| regulatory pathways | 0.314883 |
| Health Commissioner | 0.350547 |
|
| United States | 0.45657 |
| Geoffrey Rose | 0.324185 |
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| public health lecture | 0.608896 |
| Dr. Langmuir | 0.713758 |
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| Alexander D. Langmuir | 0.700135 |
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| Dr. Dean | 0.361768 |
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| Thomson Reuters | 0.321929 |
| public health | 0.817654 |
| Jonas Salk | 0.335699 |
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| Dr. Galea | 0.546742 |
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|
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