| 4702 |
Centers for Disease Control and Prevention |
Html |
en |
Can incentives improve population health? An interview with Bridget Booske, PhD |
null |
| date | 0.347064 |
| Action | 0.342765 |
| role | 0.339913 |
| Bridget Booske | 0.891041 |
| Making Wisconsin | 0.566879 |
| findings | 0.346599 |
| deputy director | 0.594474 |
| Prev Chronic Dis | 0.958325 |
| project director | 0.57286 |
| official position | 0.552149 |
| MATCH articles | 0.553469 |
| research | 0.341589 |
| Robert Wood Johnson | 0.796828 |
| County Health Rankings | 0.822726 |
| incentives | 0.555015 |
| School | 0.341224 |
| transcript | 0.345706 |
| Disease Control | 0.547222 |
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| Foundation | 0.342396 |
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| Community Health | 0.590731 |
| public health | 0.758366 |
| overview | 0.340403 |
| Dr. Booske | 0.558634 |
| population health | 0.828315 |
| Healthiest State project | 0.835797 |
| citation | 0.371469 |
| conclusions | 0.362105 |
| parent project | 0.576753 |
| PhD | 0.347483 |
| Medicine | 0.341172 |
| report | 0.339805 |
| Chronic Disease | 0.57952 |
| interview | 0.416829 |
| Wisconsin Partnership Program | 0.786353 |
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| 5097 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, June 07, 2010 |
null |
| global polio eradication | 0.837359 |
| fatal cases | 0.761793 |
| Control Hosp Epidemiol. | 0.835558 |
| historically used pesticides | 0.76155 |
| New York City | 0.761427 |
| CDC Knowledge | 0.78431 |
| Bacillus spp. spores | 0.757496 |
| Household-based sero-epidemiologic survey | 0.764238 |
| Action Science Clips | 0.930809 |
| Appl Environ Microbiol. | 0.822856 |
| rabies virus infection | 0.75854 |
| Mass spectrometric analysis | 0.759679 |
| Chief Science Officer | 0.768607 |
| Shieh WJ | 0.768708 |
| long-term care facility | 0.75914 |
| public health practice | 0.776271 |
| influenza A H3N2 | 0.760776 |
| 2010 FIFA World Cup | 0.850612 |
| artery risk development | 0.765188 |
| 2009 pandemic | 0.831129 |
| Antivir Ther. | 0.812961 |
| BMC Public Health. | 0.757039 |
| Stephen B. Thacker | 0.822914 |
| United States | 0.834059 |
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| botulinum neurotoxin type | 0.758914 |
| pandemic influenza | 0.87735 |
| retrospective cohort study | 0.771756 |
| poliomyelitis elimination campaign | 0.760021 |
| Van Rompaey SE | 0.76511 |
| Clinical aspects | 0.766394 |
| Vanden Eng JL | 0.765381 |
| polio eradication initiative | 0.883365 |
| insecticidal net distribution | 0.768245 |
| polio vaccine paradox | 0.772653 |
| Hyperendemic H. pylori | 0.759733 |
| prospective cohort study | 0.757487 |
| Expert Rev Vaccines. | 0.757952 |
| Early pandemic influenza | 0.809732 |
| public health literature | 0.766102 |
| United Kingdom | 0.764823 |
| B. Thacker CDC | 0.838748 |
| congenital hypothyroidism | 0.759813 |
| Infect Control Hosp | 0.835467 |
| Infect Dis J. | 0.757719 |
| et al | 0.901151 |
| pandemic A/H1N1 | 0.769956 |
| Blau DM | 0.762689 |
| novel swine-origin influenza | 0.78287 |
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Centers for Disease Control and Prevention |
Html |
en |
Potassium hydroxide - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6552 |
Centers for Disease Control and Prevention |
Html |
en |
Mercury Exposure Among Household Users and Nonusers of Skin-Lightening Creams Produced in Mexico - California and Virginia, 2010 |
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. |
| adult cream users | 0.244792 |
| study participants | 0.345533 |
| mercury contamination | 0.398674 |
| mercury toxicity | 0.569384 |
| unlabeled skin-lightening creams | 0.65201 |
| CDPH | 0.28805 |
| inorganic mercury | 0.694082 |
| mercury content | 0.495924 |
| mercury vapor concentrations | 0.671006 |
| urinary mercury concentration | 0.588888 |
| urinary mercury concentrations | 0.825447 |
| chronic mercury exposure | 0.538072 |
| mercury poisoning | 0.401248 |
| mercury-containing creams | 0.253978 |
| blood mercury levels | 0.573059 |
| urine specimens | 0.282979 |
| cream users | 0.287967 |
| Environmental Health Specialty | 0.30516 |
| inorganic mercury exposure | 0.511444 |
| health study participants | 0.305951 |
| Environmental Protection Agency | 0.387664 |
| inductively coupled plasma | 0.292707 |
| urine mercury | 0.407484 |
| Public Health | 0.263909 |
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| residual mercury | 0.400282 |
| Pediatric Environmental Health | 0.299877 |
| clinical health alerts | 0.242923 |
| mercury | 0.992645 |
| health study | 0.306922 |
| plasma mass spectrometry | 0.289022 |
| unlabeled skin-lightening cream | 0.29554 |
| Thomas J. Bender | 0.264922 |
| local health department | 0.251721 |
| potential mercury exposure | 0.635029 |
| health departments | 0.277073 |
| potential mercury exposures | 0.485757 |
| Health Specialty Unit | 0.303422 |
| urinary concentrations | 0.249771 |
| mercury-containing skin-lightening creams | 0.324259 |
| elevated urinary mercury | 0.504867 |
| ТЕg/g creatinine | 0.275821 |
| similar skin-lightening products | 0.24856 |
| chronic exposure | 0.254635 |
| households | 0.251565 |
| mercury exposure | 0.933244 |
| overall mercury vapor | 0.450115 |
| elemental mercury | 0.386608 |
| household | 0.269988 |
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| 6615 |
Centers for Disease Control and Prevention |
Html |
null |
Organ Systems and the Chemicals that Affect Them - Gastrointestinal Stomach and Intestines, part of the digestive system |
The gastrointestinal tract (or stomach and intestines) digests food and makes it ready to be absorbed into the bloodstream. Then it removes wastes from the bloodstream and excretes it from the body. It is part of the digestive system . |
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| 8108 |
Centers for Disease Control and Prevention |
Html |
en |
Mobile - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| mobile apps | 0.669642 |
| CDC | 0.233366 |
| total App downloads | 0.942045 |
| Blast Injury | 0.614035 |
| total page views | 0.864723 |
| iOS | 0.273294 |
|
| increase | 0.200845 |
| BAM | 0.255778 |
| Latent TB Infection | 0.994648 |
| Android | 0.25612 |
| Microsoft Windows | 0.599805 |
| Launch Date | 0.69827 |
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| 9385 |
Centers for Disease Control and Prevention |
Html |
es |
Instrucción del personal de un programa de capacitación laboral para promover la discusión de la salud mental y las remisiones de los jóvenes que no están estudiando, Baltimore, Maryland, 2007 |
CDC - Wide Page example description goes here |
| mental health discussions | 0.90052 |
| out-of-school youth | 0.496874 |
| Tucker MG | 0.507634 |
| Salud Pública | 0.487682 |
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| Sonenstein F | 0.487253 |
| Tandon SD | 0.557512 |
| employment training program | 0.800438 |
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Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom - Digital Press Kit: National Latino AIDS Awareness Day |
National Latino AIDS Awareness Day |
| Online Newsroom | 0.815443 |
| Awareness | 0.324869 |
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| Digital Press Kit | 0.830371 |
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| 12598 |
Centers for Disease Control and Prevention |
Video |
en |
What You Need to Know About Gonorrhea |
Dr. Monica Patton, Medical Officer in CDC's Division of STD Prevention, summarizes the important facts that you need to know about gonorrhea. This video provides information on the number of people infected with gonorrhea each year, how it is spread, symptoms of the infection, and treatment. Further information on gonorrhea can be found by visiting www.cdc.gov/std.
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=c94a82710ead322f9451017d1df7b1fb20130425110245171 |
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| 13472 |
Centers for Disease Control and Prevention |
Html |
en |
Prediabetes | Preventing Diabetes |
This page provides information on prediabetes. |
| CDC-led National Diabetes | 0.710161 |
| Hispanic/Latino Americans | 0.334731 |
| type | 0.422725 |
| body weight | 0.309964 |
| National Diabetes Prevention | 0.855213 |
| simple blood sugar | 0.44003 |
| road | 0.222625 |
| pancreas | 0.306624 |
| pounds | 0.222395 |
| 200-pound person | 0.31481 |
| energy | 0.223225 |
| risk factors | 0.318556 |
| test | 0.221734 |
| weight loss | 0.314273 |
| lifestyle change program | 0.404226 |
| blood sugar levels | 0.483415 |
| prediabetes—and type | 0.329906 |
| American Indians | 0.316466 |
| health problems | 0.442834 |
| regular physical activity | 0.612033 |
| health condition | 0.338686 |
| blood sugar rises | 0.456681 |
| Asian Americans | 0.325216 |
| clear symptoms | 0.323339 |
| CDC-recognized National Diabetes | 0.503282 |
|
| Highlights | 0.222803 |
| insulin | 0.263712 |
| ethnicity | 0.22509 |
| African Americans | 0.325626 |
| American adults—more | 0.339232 |
| good news | 0.332435 |
| hormone | 0.223672 |
| lifestyle changes | 0.327441 |
| heart disease | 0.333229 |
| Race | 0.222017 |
| overweight | 0.225413 |
| key | 0.223277 |
| higher risk | 0.317137 |
| prediabetes | 0.421099 |
| best time | 0.31824 |
| stroke | 0.221066 |
| doctor | 0.272384 |
| Pacific Islanders | 0.325804 |
| cells | 0.277194 |
| Diabetes Prevention Program | 0.8384 |
| stage | 0.222666 |
| brisk walking | 0.322105 |
| risk | 0.322598 |
| blood sugar | 0.908928 |
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