| 2947 |
Centers for Disease Control and Prevention |
Html |
en |
Ellie's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Ellie, who has asthma attacks triggered by secondhand smoke, and who is featured in CDC's Tips from Former Smokers campaign. |
| advice | 0.442619 |
| mid-thirties | 0.446967 |
| video | 0.441368 |
| cigarette smoke | 0.669959 |
| trouble breathing | 0.642734 |
| bar | 0.445321 |
| healthy work environment | 0.758567 |
| smoking | 0.445355 |
| Smokers® campaign | 0.614299 |
| bartender | 0.540888 |
| lungs | 0.452802 |
| sake | 0.448384 |
| Ellie | 0.985237 |
|
| CDC’s Tips | 0.620114 |
| asthma attacks | 0.677735 |
| hospital visits | 0.624278 |
| asthma attack | 0.876747 |
| secondhand smoke—breathing | 0.656956 |
| people | 0.496075 |
| guitar | 0.451555 |
| active member | 0.651589 |
| doctor | 0.490136 |
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| LGBT communities | 0.660406 |
| job | 0.614988 |
|
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| 5512 |
Centers for Disease Control and Prevention |
Html |
en |
alpha-Naphthylamine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6665 |
Centers for Disease Control and Prevention |
Html |
en |
Recommended Immunization Schedules for Persons Aged 0 Through 18 Years - United States, 2012 |
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. |
| HepA vaccine recommendations | 0.428927 |
| vaccine recommendations | 0.467042 |
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| doses | 0.568958 |
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| United States | 0.439588 |
| persistent complement component | 0.42295 |
| administer HepB vaccine | 0.442848 |
| complement component deficiency | 0.422476 |
| additional dose | 0.44263 |
| recommended immunization schedule | 0.471675 |
| children | 0.599443 |
| Tdap vaccine dose | 0.513173 |
| influenza vaccine recommendations | 0.44543 |
| meningococcal conjugate vaccine | 0.424857 |
| HepA vaccine | 0.516299 |
| combination vaccine | 0.429297 |
| catch-up schedule | 0.459804 |
| influenza vaccine | 0.472136 |
| figure | 0.451275 |
| Pneumococcal vaccine footnotes | 0.437287 |
| monovalent hepb vaccine | 0.443161 |
| inadvertent dose | 0.43253 |
| single supplemental dose | 0.46397 |
|
| HepB vaccine | 0.539076 |
| vaccine series | 0.527025 |
| Vaccine Adverse Event | 0.45412 |
| HepA vaccine footnotes | 0.439471 |
| conjugate vaccine footnotes | 0.436646 |
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| adolescent Tdap dose | 0.44974 |
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| HepB vaccine footnotes | 0.429989 |
| persons | 0.470502 |
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| dose | 0.947782 |
| vaccine | 0.764158 |
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| Tdap booster dose | 0.450846 |
| ACIP influenza vaccine | 0.450639 |
| booster dose | 0.519274 |
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| minimum interval | 0.443726 |
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| age | 0.606006 |
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| 7126 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Indonesia |
CDC has collaborated with Indonesia for more than fifty years. |
| public buildings | 0.558218 |
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| CDC | 0.582963 |
| endorsement | 0.38156 |
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| Indonesian Ministry | 0.652106 |
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|
| Download Overview Fact | 0.828881 |
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| Response | 0.344227 |
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| malaria incidence | 0.662021 |
| non-federal site | 0.618315 |
| lung function standards | 0.800554 |
| 2004-2009 | 0.342405 |
| employees | 0.341222 |
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| Indonesian adults | 0.615373 |
| Health address | 0.596461 |
|
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| 10674 |
Centers for Disease Control and Prevention |
Html |
en |
Pneumonic Plague'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
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| PDF | 0.261307 |
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|
| DOC | 0.368812 |
| information | 0.262482 |
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| page | 0.276773 |
|
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| 11561 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Evaluation of the Placement of Mobile Fruit and Vegetable Vendors to Alleviate Food Deserts in New York City - CDC |
In 2008, the New York City (NYC) health department licensed special mobile produce vendors (Green Carts) to increase access to fruits and vegetables in neighborhoods with the lowest reported fruit and vegetable consumption and the highest obesity rates. Because economic incentives may push vendors to locate in more trafficked, less produce-deprived areas, we examined characteristics of areas with and without Green Carts to explore whether Carts are positioned to reach the intended populations. |
| food stores | 0.615601 |
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| census tracts | 0.556641 |
| areas | 0.552855 |
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| healthy food store | 0.493179 |
| New York City | 0.541258 |
| non-EBT Green Carts | 0.532052 |
| Carts cluster | 0.499972 |
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| healthy stores | 0.583564 |
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| Green Cart sites | 0.504307 |
| non-EBT Carts | 0.491167 |
| outlier Green Carts | 0.533039 |
| healthy food stores | 0.577937 |
| non–food desert areas | 0.487745 |
| fast food restaurants | 0.512137 |
| local food environment | 0.498964 |
| federal poverty level | 0.492787 |
| additional healthy stores | 0.489516 |
| candidate Cart sites | 0.488064 |
| Green Cart | 0.670484 |
|
| study area | 0.491781 |
| unhealthy stores | 0.502315 |
| food deserts | 0.838338 |
| food desert areas | 0.503534 |
| highly trafficked areas | 0.516808 |
| food swamps | 0.497548 |
| degree Green Carts | 0.54586 |
| mobile produce vendors | 0.505554 |
| neighborhood characteristics | 0.490844 |
| candidate sites | 0.639203 |
| Green Cart boundaries | 0.498195 |
| food desert | 0.566799 |
| active Green Cart | 0.487269 |
| food environment | 0.733016 |
| ArcInfo Business Analyst | 0.508476 |
| vegetable specialty stores | 0.489787 |
| fresh produce | 0.507956 |
| Green Carts | 0.945438 |
| Green Carts program | 0.572883 |
| Cart vendors | 0.509651 |
| candidate Green Cart | 0.504919 |
| Green Cart locations | 0.554087 |
| NYC Green Cart | 0.505726 |
| Green Cart vendors | 0.494285 |
|
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| 12625 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Polio Eradication |
Polio is a frightening disease that paralyzes and kills. In this Director's Briefing, Dr. Tom Frieden discusses how the finish line for polio eradication is in sight. In 2012, there were fewer cases of polio in fewer countries than ever before in history -- 222 cases. That is far from the 350,000 cases recorded when CDC and our partners started the campaign to eradicate polio in 1988. Although we have made tremendous progress against what used to be one of the most terrible diseases of our time, there is still work to do to get over the finish line.
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=93b079e93ff9e9fc82978d69f949d4eb20130124122636125 |
| Polio Eradication | 0.909071 |
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| 13459 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Multistate Outbreak of HumanSalmonella Poona Infections Associated with Pet Turtle Exposure -United States, 2014 |
Colin Basler, DVM1, 2; Lyndsay Bottichio, MPH2; Jeffrey Higa, MPH3; Belinda Prado, MPH4; Michael Wong3; Stacey Bosch, DVM2 (Author affiliations at end of text). |
| small turtles | 0.819443 |
| human illness | 0.527422 |
| Human Services | 0.535531 |
| pet turtles | 0.669781 |
| California patient | 0.532268 |
| Salmonella Poona pulse-field | 0.773904 |
| turtle-associated salmonellosis outbreaks | 0.897181 |
| young children | 0.640578 |
| Zoonotic Infectious Diseases | 0.638141 |
| gel electrophoresis | 0.54052 |
| ill persons | 0.910796 |
| foodborne disease surveillance | 0.692387 |
| Stacey Bosch | 0.561637 |
| National Center | 0.528316 |
| federal law | 0.543697 |
| upper shell | 0.530199 |
| future turtle-associated salmonellosis | 0.652099 |
| particular risk | 0.545021 |
| legal purchase online | 0.663449 |
| flea markets | 0.540884 |
| turtle vendors | 0.557481 |
| Environmental Diseases | 0.52898 |
| common food | 0.528529 |
| human Salmonella Poona | 0.825748 |
|
| federal turtle ban | 0.655823 |
| 1Epidemic Intelligence Service | 0.636032 |
| Salmonella bacteria | 0.599698 |
| Public Health | 0.527874 |
| Jeffrey Higa | 0.569548 |
| potential role | 0.525576 |
| Long Beach Department | 0.635705 |
| Colin Basler | 0.71675 |
| exhibition purposes | 0.5362 |
| pet turtle exposure | 0.707652 |
| 3California Department | 0.527969 |
| transient nature | 0.544292 |
| illegal purchase | 0.541242 |
| Lyndsay Bottichio | 0.55689 |
| small children | 0.554389 |
| human Salmonella infections | 0.726467 |
| rare serotype | 0.545606 |
| traceback investigation | 0.529946 |
| outbreak strain | 0.703034 |
| transient street vendors | 0.672892 |
| Michael Wong | 0.554809 |
| Author affiliations | 0.55469 |
| multiple Salmonella outbreaks | 0.792352 |
| national molecular subtyping | 0.696164 |
|
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| 13718 |
Centers for Disease Control and Prevention |
Html |
en |
RMSF is Deadly, Yet Preventable | CDC Features |
Early treatment with doxycycline can prevent severe illness and death. |
| North Carolina | 0.364345 |
| untreated cases | 0.365006 |
| American Academy | 0.415966 |
| health care provider | 0.940988 |
| tick prevention | 0.433989 |
| FALSE. Tick bites | 0.554473 |
| doxycycline | 0.620609 |
| tick habitats | 0.522142 |
| children | 0.376875 |
| Avoiding Ticks page | 0.502907 |
| health care providers | 0.415296 |
| life-threatening illness | 0.379255 |
| antibiotic treatment | 0.484004 |
| RMSF infections | 0.379096 |
| Early treatment | 0.376558 |
| symptoms | 0.398139 |
| FALSE. Treatment | 0.398502 |
| RMSF cases | 0.386037 |
| Tick Removal page | 0.467605 |
| fever | 0.417077 |
| laboratory test | 0.510206 |
| laboratory test results | 0.478241 |
| tick grasp | 0.431387 |
| RMSF infection | 0.375364 |
|
| infected tick | 0.545723 |
| Rocky Mountain | 0.461993 |
| tickborne diseases | 0.427202 |
| diagnostic test results | 0.405448 |
| Early signs | 0.364192 |
| reliable laboratory test | 0.404172 |
| Permethrin kills ticks | 0.514033 |
| illness | 0.473066 |
| antibiotic doxycycline | 0.551797 |
| FALSE. Doxycycline | 0.454864 |
| ticks | 0.784309 |
| RMSF | 0.658919 |
| RMSF report | 0.411962 |
| outdoor activities | 0.41085 |
| previously healthy people | 0.408826 |
| tickborne illness | 0.391149 |
| people | 0.435163 |
| Indian Health Service | 0.411376 |
| rash | 0.413857 |
| deadly tickborne disease | 0.425875 |
| contiguous United States | 0.415209 |
| unattached ticks | 0.459556 |
| information | 0.37004 |
| severe illness | 0.371329 |
|
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| 16356 |
Centers for Disease Control and Prevention |
Html |
en |
Progress with Scale-Up of HIV Viral Load Monitoring - SevenSub-Saharan African Countries, January 2015-June 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| viral load monitoring | 0.452646 |
| overall testing capacity | 0.340927 |
| CDC | 0.334265 |
| sub-Saharan African countries | 0.360518 |
| HIV-1 Viral Load | 0.410432 |
| load testing capacity | 0.376644 |
| Global HIV/AIDS | 0.355278 |
| number | 0.329384 |
| viral suppression | 0.515787 |
| load testing targets | 0.389394 |
| World Health Organization | 0.330193 |
| load proficiency testing | 0.379406 |
| Global Health | 0.352508 |
| patients | 0.360081 |
| molecular testing platforms | 0.335925 |
| countries | 0.407206 |
| test turnaround time | 0.346812 |
| HIV treatment | 0.350076 |
| persons | 0.347589 |
| low viral load | 0.401419 |
| public health practice | 0.33013 |
| load testing platforms | 0.371112 |
| human immunodeficiency virus | 0.348984 |
| South Africa | 0.417718 |
| effective viral load | 0.399791 |
|
| HIV patient monitoring | 0.336876 |
| viral load test | 0.459367 |
| load testing scale-up | 0.37478 |
| Côte d’Ivoire | 0.41294 |
| viral load suppression | 0.414874 |
| ART | 0.404959 |
| antiretroviral therapy | 0.328504 |
| viral load proficiency | 0.419446 |
| viral suppression rates | 0.379448 |
| sub-Saharan Africa | 0.367972 |
| sub-Saharan countries | 0.328302 |
| viral load testing | 0.933471 |
| turnaround time | 0.374324 |
| viral loading testing | 0.391219 |
| Proficiency Testing program | 0.335746 |
| ART patients | 0.345257 |
| recommends viral load | 0.417809 |
| adequate equipment capacity | 0.350265 |
| viral suppression goals | 0.377199 |
| HIV viral load | 0.414758 |
| HIV worldwide | 0.331111 |
| HIV infection | 0.367421 |
| viral load scale-up | 0.411322 |
| sub-Saharan Africa accounting | 0.331759 |
|
CLICK HERE |