| 1050 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Pregnancies in Younger Teens | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| teens ages | 0.791645 |
| Mortality Weekly Report | 0.404132 |
| effective reversible methods | 0.524591 |
| health care provider | 0.41124 |
| common methods | 0.365655 |
| Indian/Alaska Native teens | 0.555924 |
| Teens Aged | 0.471062 |
| teen mom | 0.415158 |
| sex education | 0.414552 |
| younger teens ages | 0.680489 |
| Younger Teens PSA | 0.538496 |
| Teen Pregnancy | 0.426657 |
| different contraceptive methods | 0.415747 |
| financial costs | 0.367627 |
| health care professionals | 0.427727 |
| sexual activity | 0.364963 |
| Public Health Ground | 0.41387 |
| younger teens | 0.767724 |
| Long-acting reversible contraception | 0.425422 |
| birth control pills | 0.442926 |
| partner share responsibility | 0.402492 |
| sexually transmitted diseases | 0.535737 |
| Health Statistics | 0.36516 |
| birth control | 0.781347 |
| active younger teens | 0.558145 |
|
| Vital Signs Issue | 0.414781 |
| hormonal implants | 0.363626 |
| higher rates | 0.36278 |
| culturally appropriate services | 0.52626 |
| teen births | 0.650577 |
| Vital Signs | 0.584723 |
| Counsel teens | 0.496406 |
| teen clients | 0.409381 |
| teens | 0.929205 |
| Normal sexual development | 0.407991 |
| Repeat Teen Births | 0.533175 |
| reproductive health visit | 0.415396 |
| sexually active teens | 0.545391 |
| Reducing Teen | 0.395465 |
| Teenage Pregnancy | 0.364276 |
| intrauterine devices | 0.365879 |
| health care | 0.468611 |
| lowest level | 0.371346 |
| medical risks | 0.368345 |
| birth control method | 0.434891 |
| birth control services | 0.43934 |
| sexual health issues | 0.413935 |
| CDC Vital Signs | 0.417326 |
| Medline Plus | 0.404498 |
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Centers for Disease Control and Prevention |
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Healthier Worksite Initiative - HWI: Program Design:Wellness Committees |
null |
| list Skip | 0.808128 |
| regular physical activity | 0.615709 |
| good nutrition | 0.383411 |
|
| page options Skip | 0.980187 |
| childhood obesity | 0.501657 |
|
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| 5411 |
Centers for Disease Control and Prevention |
Html |
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Playground renovations and quality at public parks in Boston, Massachusetts, 1996-2007. |
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| PAB baseline assessment | 0.633184 |
| Boston Parks | 0.588878 |
| playground quality items | 0.632191 |
| Parks Department capital | 0.683697 |
| PAB baseline playground | 0.648785 |
| parks | 0.793592 |
| playground quality assessments | 0.58414 |
| previously low-scoring parks | 0.578307 |
| community partners | 0.576036 |
| Overall playground renovation | 0.599049 |
| initial playground assessment | 0.579015 |
| Boston | 0.596966 |
| street blocks | 0.581324 |
| playground quality assessment | 0.634626 |
| city Parks Department | 0.609038 |
| city area | 0.571348 |
| baseline quality | 0.587844 |
| city public health | 0.573858 |
| playground quality scores | 0.680116 |
| disadvantaged area | 0.682968 |
| playground quality | 0.96924 |
| Department capital budgets | 0.681808 |
| playground renovation history | 0.581025 |
| city parks departments | 0.579368 |
|
| public parks | 0.604999 |
| transportation infrastructure | 0.584422 |
| annual city Parks | 0.592464 |
| Parks Department renovation | 0.582615 |
| baseline assessment | 0.673828 |
| playground quality score | 0.690324 |
| playground quality instrument | 0.612697 |
| playground renovation rate | 0.583378 |
| public health | 0.586968 |
| citywide playground renovation | 0.618354 |
| observed playground quality | 0.591915 |
| playground renovation rates | 0.766066 |
| city areas | 0.670502 |
| overall baseline playground | 0.62231 |
| Parks Department schedules | 0.576246 |
| pedestrian access | 0.643142 |
| physical activity | 0.719108 |
| average playground quality | 0.589515 |
| low playground quality | 0.589305 |
| baseline playground quality | 0.842427 |
| lower playground quality | 0.598086 |
| playgrounds | 0.589255 |
| playground equipment construction | 0.573834 |
| baseline playground assessment | 0.650986 |
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| 6917 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Media Relations - CDC B-ROLL Videos |
Videos from CDC |
| exterior footage | 0.58878 |
| CDC | 0.99236 |
| CDC Foundation | 0.688031 |
| quarantine station | 0.664774 |
| CDC Trioplex PCR | 0.773617 |
| contact investigation | 0.544195 |
| CDC’s Strategic | 0.663905 |
| pregnant women | 0.553703 |
| RT-PCR Assay kits | 0.588365 |
| pathogenic avian influenza | 0.568887 |
| Training session topics | 0.552935 |
| CDC scientist | 0.666072 |
| Global Communications Center | 0.706925 |
| DNA fingerprinting | 0.575655 |
| foodborne illnesses cases | 0.562866 |
| personal protective equipment | 0.701535 |
| DNA fingerprinting technique | 0.569604 |
| Emergency Operations Center | 0.563099 |
| copyright law protections | 0.581989 |
| tobacco products | 0.556489 |
| electronic message boards | 0.551446 |
| public domain items | 0.59672 |
| illness response record | 0.577911 |
| illness response | 0.601362 |
| Trioplex Real-time RT-PCR | 0.748747 |
|
| pulsed-field gel electrophoresis | 0.562338 |
| CDC isolation room | 0.739534 |
| Ebola Treatment Unit | 0.56554 |
| U.S. healthcare workers | 0.562724 |
| United States | 0.644348 |
| Zika prevention kits | 0.584659 |
| United States Government | 0.598015 |
| CDC trains | 0.673 |
| CDC disease detective | 0.742341 |
| national laboratory network | 0.583965 |
| public health labs | 0.575492 |
| Laboratory Response Network | 0.589314 |
| seasonal influenza vaccine | 0.590218 |
| laboratory equipment measure | 0.561534 |
| Real-time RT-PCR Assay | 0.753501 |
| CDC b-roll | 0.73628 |
| Zika viruses | 0.522713 |
| CDC staff | 0.667332 |
| National Influenza Center | 0.600315 |
| boarding bag | 0.543161 |
| CDC Trioplex Real-time | 0.941411 |
| ‘candidate vaccine virus | 0.580933 |
| Headquarters Building | 0.566499 |
| West Africa | 0.739793 |
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Centers for Disease Control and Prevention |
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Section 910 of the Federal Food, Drug, and Cosmetic Act -Application for Review of Certain Tobacco Products |
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| Limitation. A tobacco | 0.357163 |
| Tobacco Control Act | 0.373936 |
| section | 0.421055 |
| health information | 0.330641 |
| subparagraph | 0.322266 |
| application meeting | 0.320735 |
| new information | 0.335453 |
| new tobacco product | 0.403379 |
| subsection apply | 0.321415 |
| predicate tobacco product | 0.42683 |
| order | 0.392655 |
| material facts | 0.333472 |
| Secretary issues | 0.364151 |
| fair evaluation | 0.333627 |
| Contents. An application | 0.321448 |
| basis | 0.352684 |
| new product | 0.337249 |
| respect | 0.322847 |
| tobacco products | 0.444636 |
| New Products | 0.321698 |
| Secretary shall | 0.352917 |
| Tobacco Products Scientific | 0.42384 |
| interstate commerce | 0.356715 |
| detailed information | 0.321058 |
| contains information | 0.321416 |
|
| Family Smoking Prevention | 0.334305 |
| paragraph | 0.33248 |
| subsection | 0.340412 |
| Secretary | 0.56328 |
| United States | 0.358203 |
| records | 0.329476 |
| Premarket Review | 0.320446 |
| test markets | 0.320725 |
| judicial order | 0.321223 |
| adverse health | 0.333287 |
| adverse health effects | 0.332791 |
| public health | 0.385932 |
| tobacco product standard | 0.440367 |
| valid scientific evidence | 0.328326 |
| tobacco product | 0.905292 |
| requirements | 0.325559 |
| Products Scientific Advisory | 0.393189 |
| informal hearing | 0.333084 |
| adequate information | 0.362731 |
| applicant | 0.339616 |
| adverse health consequences | 0.32947 |
| application | 0.418255 |
| Scientific Advisory Committee | 0.398015 |
| information | 0.395703 |
|
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Centers for Disease Control and Prevention |
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What is HIV/AIDS? - HIV Basics |
Answers to questions such as: What is HIV? Where did HIV come from? How can I tell if I'm infected with HIV? Is there a cure for HIV? |
| health care provider | 0.397834 |
| swollen lymph glands | 0.358205 |
| right way | 0.437607 |
| virus levels increase | 0.360253 |
| body | 0.388077 |
| CDC’s HIV | 0.617583 |
| immune system fight | 0.371404 |
| certain opportunistic illnesses | 0.35649 |
| acute hiv infection | 0.524296 |
| viral load | 0.362876 |
| asymptomatic HIV infection | 0.495228 |
| effective cure | 0.36637 |
| called T cells | 0.344317 |
| flu-like illness | 0.369161 |
| immunodeficiency virus | 0.398006 |
| AIDS | 0.410716 |
| HIV Risk Reduction | 0.73455 |
| chronic HIV infection | 0.493363 |
| symptoms | 0.370434 |
| acute infection | 0.371696 |
| human immunodeficiency virus | 0.377221 |
| high viral load | 0.353723 |
| treatment | 0.349385 |
| ART | 0.359259 |
|
| United States | 0.362751 |
| antiretroviral therapy | 0.409849 |
| swollen lymph nodes | 0.356789 |
| proper medical care | 0.416574 |
| Risk Reduction Tool | 0.625847 |
| simian immunodeficiency virus | 0.371709 |
| CD4 cell count | 0.365733 |
| opportunistic infections | 0.375429 |
| offer confidential HIV | 0.460935 |
| immunodeficiency syndrome | 0.371554 |
| special cells | 0.344889 |
| CD4 cells | 0.437428 |
| flu-like symptoms | 0.365804 |
| disease | 0.359143 |
| HIV test | 0.437444 |
| damaged immune systems | 0.362951 |
| HIV inactivity | 0.447533 |
| people | 0.482795 |
| certain body fluids | 0.369017 |
| swollen lymph | 0.366691 |
| HIV | 0.998928 |
| stage | 0.39133 |
| fourth-generation antibody/antigen test | 0.360265 |
| HIV infection | 0.818011 |
|
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Centers for Disease Control and Prevention |
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Worker Illness Related to Newly Marketed Pesticides -Douglas County, Washington, 2014 |
Geoffrey M. Calvert, MD1, Luis Rodriguez2, Joanne Bonnar Prado, MPH2 (Author affiliations at end of text). |
| upper respiratory irritation | 0.344495 |
| pesticide application | 0.635786 |
| low mammalian toxicity | 0.352561 |
| off-target drift | 0.588289 |
| farmworkers | 0.591587 |
| Joanne Bonnar Prado | 0.364299 |
| pear orchard pesticide | 0.615875 |
| agricultural pesticides | 0.347704 |
| Geoffrey M. Calvert | 0.497737 |
| acute pesticide-related illnesses | 0.349897 |
| pesticide applications | 0.594376 |
| pesticide products | 0.401638 |
| neighboring pear orchard | 0.527334 |
| toxicity category | 0.411034 |
| moderate eye irritation | 0.341135 |
| MMWR
Geoffrey M. | 0.361278 |
| medical services personnel | 0.351135 |
| personal protective equipment | 0.479127 |
| commonly reported symptoms | 0.373202 |
| acute pesticide-related illness | 0.482682 |
| cherry orchard workers | 0.496487 |
| pesticide mixture | 0.665794 |
| pesticide exposures | 0.388651 |
| novel pesticides | 0.362069 |
| pesticide-related illness cases | 0.356132 |
|
| worker notification requirements | 0.343366 |
| Washington State Department | 0.788795 |
| clothing samples | 0.365969 |
| phosphoric acid | 0.353176 |
| pesticide applicators | 0.598201 |
| Hispanic farmworkers | 0.400932 |
| tractor-pulled airblast sprayers | 0.364281 |
| psylla infestations | 0.378073 |
| United States | 0.356698 |
| 2Washington State Department | 0.35785 |
| mineral oil | 0.352066 |
| neighboring farm | 0.352045 |
| pesticides | 0.611188 |
| state health department | 0.358724 |
| pesticide residues | 0.414764 |
| cherry orchard | 0.867026 |
| air-purifying respirators | 0.368984 |
| pesticide mixtures | 0.395111 |
| farmworkers location | 0.390959 |
| pesticide | 0.787177 |
| off-target pesticide drift | 0.49322 |
| off-target drift exposures | 0.3844 |
| pear orchard | 0.91771 |
| pesticide residue analysis | 0.478346 |
|
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| 13509 |
Centers for Disease Control and Prevention |
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Contact Lens Types | Contact Lenses | CDC |
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| contact lens types | 0.446922 |
| FDA. Types | 0.364872 |
| contact lens material | 0.378539 |
| Stapleton F. Risk | 0.361401 |
| common contact lens | 0.3952 |
| lens material | 0.397788 |
| Cont Lens Anterior | 0.388376 |
| Lens Anterior Eye. | 0.388371 |
| additional contact lens | 0.37849 |
| Seddon JM | 0.364483 |
| Poggio EC | 0.363423 |
| contact lenses | 0.900325 |
| Contact Lenses page | 0.406824 |
| contact lens type | 0.397051 |
| Engl J Med. | 0.378909 |
| microbial keratitis | 0.398801 |
| overnight contact lens | 0.384763 |
| contact lens storage | 0.387991 |
| Kenyon KR | 0.36261 |
| fresh contact lens | 0.387052 |
| daily disposable contact | 0.380615 |
| soft contact lens | 0.409808 |
| hard contact lenses | 0.514307 |
| eye care providers | 0.362583 |
| disposable contact lens | 0.383139 |
|
| contact lens wearers | 0.382694 |
| Schein OD | 0.364035 |
| Hybrid contact lenses | 0.406672 |
| Glynn RJ | 0.363241 |
| Dart JK | 0.361361 |
| daily wear contact | 0.397256 |
| eye care provider | 0.68073 |
| rigid gas | 0.386558 |
| soft contact lenses | 0.700398 |
| Contact Lenses. | 0.373949 |
| decorative contact lenses | 0.418755 |
| lens-related microbial keratitis | 0.360508 |
| contact lens wear | 0.409494 |
| wear contact lenses | 0.50261 |
| extended-wear soft contact | 0.427192 |
| lens material worn | 0.368692 |
| contemporary contact lenses | 0.444155 |
| silicone hydrogel lenses | 0.389053 |
| disposable contact lenses | 0.424238 |
| scleral lenses | 0.39849 |
| Ortho-K lenses | 0.384109 |
| different contact lens | 0.396927 |
| contact lens solution | 0.399446 |
| ulcerative keratitis | 0.364384 |
|
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Notes from the Field: Ongoing Cholera Outbreak - Kenya,2014-2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| serotype Inaba | 0.565705 |
| safe water | 0.548719 |
| Laboratory Training Program | 0.671578 |
| ill cholera patients | 0.734111 |
| cholera prevention knowledge | 0.715652 |
| outbreak investigation | 0.58098 |
| appropriate case management | 0.572493 |
| Kenya Ministry | 0.621038 |
| national public health | 0.671771 |
| outbreak | 0.647359 |
| Zoonotic Infectious Diseases | 0.637825 |
| case fatality rates | 0.597622 |
| Enteric Diseases Laboratory | 0.55311 |
| high cholera awareness | 0.710048 |
| health facilities | 0.566433 |
| health extension workers | 0.599502 |
| Kenya National Public | 0.608941 |
| public health education | 0.601093 |
| biotype El Tor | 0.554549 |
| Kenya Field Epidemiology | 0.588853 |
| national case fatality | 0.612027 |
| case fatality rate | 0.775562 |
| cholerae serogroup | 0.604473 |
| public health institute | 0.592137 |
| cholera prevention measures | 0.712672 |
|
| community health extension | 0.708565 |
| acute watery diarrhea | 0.819407 |
| predominant outbreak strain | 0.633244 |
| indistinguishable pulsed-field gel | 0.551077 |
| Health Field Epidemiology | 0.597264 |
| Nairobi County | 0.554751 |
| cholera prevention | 0.72019 |
| cholera case | 0.876153 |
| Kenyatta National Hospital | 0.583318 |
| health care workers | 0.679067 |
| Homa Bay | 0.560558 |
| public health emergency | 0.592295 |
| outbreak response efforts | 0.604278 |
| cholera | 0.947626 |
| current outbreak | 0.555084 |
| inadequate hand washing | 0.54965 |
| Reference laboratory confirmation | 0.559729 |
| Vibrio cholerae serogroup | 0.602413 |
| cholera case definitions | 0.791282 |
| cholera case-patients | 0.653131 |
| cholera outbreaks | 0.63982 |
| County health teams | 0.603174 |
| hygienic sanitation services | 0.552289 |
| severe dehydration | 0.563054 |
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Centers for Disease Control and Prevention |
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Blood Pressure Control - Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| mobile apps | 0.383229 |
| pharmacy claims data | 0.370323 |
| healthy diet | 0.34582 |
| Therapy Management services | 0.371839 |
| high co-pays | 0.379987 |
| national Million Hearts® | 0.375968 |
| entire healthcare team | 0.448589 |
| claims data | 0.37874 |
| e.g. prescribe | 0.395114 |
| blood pressure | 0.989861 |
| pill refills | 0.39803 |
| easy-to-use tools | 0.383953 |
| patients | 0.353214 |
| at-risk patients | 0.342667 |
| Affordable Care Act | 0.376829 |
| patient concerns | 0.382554 |
| pressure treatment protocols | 0.458811 |
| weekly pill boxes | 0.377962 |
| older Americans | 0.344479 |
| effective blood pressure | 0.472358 |
| community health workers | 0.385302 |
| blood pressure logs | 0.46952 |
| chronic disease. http://go.usa.gov/xjfnz | 0.369546 |
| refill prescriptions | 0.346339 |
| kidney disease | 0.347774 |
|
| administrative claims data | 0.369251 |
| combination medicines | 0.393089 |
| blood pressure readings | 0.471118 |
| blood pressure monitors | 0.469284 |
| Address financial barriers | 0.449812 |
| heart disease | 0.38513 |
| blood pressure monitor | 0.411913 |
| prescribe 90-day refills | 0.487177 |
| home blood pressure | 0.469832 |
| n’t notice | 0.34343 |
| public health | 0.343725 |
| new prescriptions | 0.347604 |
| prescribe generic medicines | 0.476162 |
| clinical practice. http://go.usa.gov/xjf59 | 0.453647 |
| health care systems | 0.45318 |
| medical practices | 0.34488 |
| Implement effective blood | 0.461765 |
| unwanted side effects | 0.34224 |
| prescription drug insurance | 0.389742 |
| blood pressure medicine | 0.690149 |
| Medicare Star Ratings | 0.380864 |
| blood pressure treatment | 0.603317 |
| people | 0.342767 |
| high blood pressure | 0.635806 |
|
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