| 5411 |
Centers for Disease Control and Prevention |
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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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| 6262 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: September 15, 2011 |
MMWR News Summary: September 15, 2011 |
| primary prevention tool | 0.481134 |
| smoke-free laws | 0.342257 |
| Southern Hemisphere. | 0.348034 |
| Effective state tobacco | 0.446209 |
| Northern Hemisphere | 0.346325 |
| influenza antiviral medications | 0.878133 |
| 2010-11 influenza season | 0.876974 |
| current smoking | 0.399932 |
| valuable adjunct | 0.356005 |
| positive bacterial culture | 0.485155 |
| influenza activity | 0.849667 |
| high proportion | 0.342646 |
| influenza virus infections | 0.87061 |
| tobacco excise taxes | 0.456539 |
| emergency department | 0.3557 |
| CDC Division | 0.688734 |
| lung cancer cases | 0.655897 |
| smoking cessation | 0.396925 |
| antigenic characterization | 0.344882 |
| illness onset | 0.354982 |
| vast majority | 0.34385 |
| influenza-associated pediatric mortality | 0.482054 |
| influenza | 0.95732 |
| healthcare providers | 0.354218 |
| high-risk medical conditions | 0.506828 |
|
| United States | 0.581761 |
| influenza-related disease activity | 0.473144 |
| Electronic Media | 0.660262 |
| cigarette smoking | 0.393545 |
| influenza vaccine strains | 0.84745 |
| influenza B viruses | 0.71412 |
| antiviral therapy | 0.378132 |
| low levels | 0.349729 |
| high-risk medical conditions. | 0.507146 |
| smoking initiation | 0.397711 |
| influenza-associated complications | 0.356197 |
| state tobacco control | 0.631765 |
| secondhand smoke exposure | 0.43678 |
| viral isolates | 0.37239 |
| sterile site. | 0.358502 |
| tobacco control policies | 0.452026 |
| new lung cancer | 0.474567 |
| severe outcomes | 0.349587 |
| influenza-associated pediatric deaths | 0.505942 |
| annual influenza vaccination | 0.880619 |
| shorter interval | 0.359433 |
| Typical seasonal patterns | 0.461456 |
| smoking patterns | 0.401184 |
| low prevalence | 0.339527 |
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| 6917 |
Centers for Disease Control and Prevention |
Html |
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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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| 7917 |
Centers for Disease Control and Prevention |
Html |
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Global Health - Nigeria - Health Systems Strengthening |
null |
| endorsement | 0.319589 |
| Rural Development | 0.400443 |
| inception | 0.318364 |
| U.S. CDC | 0.414166 |
| Laboratory Training Program | 0.631709 |
| Epidemiology Laboratory Training | 0.678279 |
| laboratory science | 0.398073 |
| fact sheet | 0.388626 |
| Disease Control | 0.38611 |
| public health systems | 0.623268 |
| Global AIDS Coordinator | 0.47121 |
| well-trained health professionals | 0.50568 |
| U.S. Office | 0.392121 |
| multi-state outbreaks | 0.420434 |
| public health activities | 0.60069 |
| human resources | 0.392056 |
| Nigeria Federal Ministry | 0.920221 |
| CDC’s Division | 0.420116 |
| lead poisoning | 0.391095 |
| Health Web site | 0.484786 |
| state level | 0.399981 |
| Professor Abdulsalami Nasidi | 0.452889 |
| technical positions | 0.471398 |
| Program Web site | 0.470887 |
| FMOH | 0.329563 |
|
| N-FELTP trains | 0.403699 |
| Nigeria Field Epidemiology | 0.822172 |
| public health workforce | 0.537837 |
| disease outbreaks | 0.415663 |
| veterinary epidemiology residents | 0.538715 |
| NCDC | 0.432045 |
| HHS | 0.32126 |
| intervention activities | 0.387331 |
| Zamfara State | 0.389928 |
| leadership | 0.328138 |
| Field Epidemiology Laboratory | 0.673605 |
| cadre | 0.322248 |
| cholera | 0.319465 |
| public health | 0.833601 |
| PEPFAR | 0.316422 |
| health responses | 0.406338 |
| OON | 0.323565 |
| Lassa fever | 0.402169 |
| non-federal site | 0.398128 |
| Nigeria Centre | 0.52229 |
| Workforce Development Activities | 0.474084 |
| information | 0.337917 |
| public health laboratory | 0.529948 |
| polio eradication efforts | 0.468629 |
|
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| 8653 |
Centers for Disease Control and Prevention |
Html |
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Highly Pathogenic Avian Influenza A (H5N1) in People |
Highly Pathogenic Asian Avian Influenza A (H5N1) in People - CDC |
| HPAI Asian H5N1 | 0.762247 |
| Highly Pathogenic Avian | 0.42102 |
| Asian HPAI H5N1 | 0.943011 |
| human cases | 0.389738 |
| Asian H5N1 cases | 0.48791 |
| unprotected close contact | 0.428914 |
| Pathogenic Avian Influenza | 0.422263 |
| human-to-human transmission | 0.362825 |
| species barrier | 0.337642 |
| HPAI H5N1 cases | 0.537479 |
| cluster cases | 0.342565 |
| poultry outbreaks | 0.351515 |
| close prolonged contact | 0.368644 |
| common source exposures | 0.36404 |
| countries | 0.33852 |
| Limited person-to-person spread | 0.365147 |
| sick blood-related family | 0.373531 |
| severe respiratory disease | 0.369013 |
| young adults | 0.337998 |
| respiratory tract | 0.340558 |
| hospital room | 0.36128 |
| largest number | 0.337426 |
| H5N1 virus infection | 0.487114 |
| human infection | 0.343773 |
| human Asian HPAI | 0.436511 |
|
| severely ill people | 0.370257 |
| H5N1 virus outbreaks | 0.487183 |
| e.g. pneumonia | 0.340381 |
| relatively cooler periods | 0.365533 |
| HPAI H5N1 virus | 0.771623 |
| live poultry market | 0.382555 |
| blood-related family members | 0.42837 |
| human-to-human-to-human Asian HPAI | 0.384658 |
| infected poultry | 0.363165 |
| close contact | 0.461686 |
| highest number | 0.338902 |
| HPAI H5N1 viruses | 0.564344 |
| poultry | 0.392531 |
| Asian H5N1 virus | 0.637882 |
| milder cases | 0.347782 |
| H5N1 virus | 0.790789 |
| clinically mild cases | 0.379546 |
| medical care | 0.33893 |
| high mortality | 0.337598 |
| human-to-human HPAI Asian | 0.384723 |
| human infections | 0.406921 |
| dead poultry | 0.381658 |
| H5N1 Highly Pathogenic | 0.447779 |
| respiratory failure | 0.339964 |
|
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| 8709 |
Centers for Disease Control and Prevention |
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en |
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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| 8711 |
Centers for Disease Control and Prevention |
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HPV, Teen Pregnancy, and Childhood Immunization - Grand Rounds - Video Archive |
CDC: Prevention Public Health Grand Rounds - The Public Health Grand Rounds is a monthly series created to further strengthen CDC's common scientific culture and foster discussion and debate on major public health issues. Each session of the Public Health Grand Rounds will focus on key issues and challenges related to a specific health topic, including cutting-edge scientific evidence and potential impact of different interventions. The sessions will also highlight how CDC is already addressing these challenges and discuss the recommendations for future research and practice. |
| pregnancy-related causes | 0.586073 |
| actual causes | 0.401207 |
| education credits | 0.382238 |
| Health Grand Rounds | 0.903073 |
| Racial disparities | 0.515305 |
| United States | 0.77712 |
|
| high-income countries | 0.502361 |
| pregnancy-related deaths | 0.648005 |
| white women | 0.35446 |
| email ce | 0.402309 |
| black women | 0.358166 |
|
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| 12323 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
null |
| 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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Centers for Disease Control and Prevention |
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Why We Do Research on Hemophilia | Hemophilia | NCBDDD | CDC |
Hemophilia is an inherited bleeding disorder in which the blood does not clot properly. The mission of CDC’s Division of Blood Disorders is to reduce the morbidity and mortality from blood disorders through comprehensive public health practice. |
| hemophilia | 0.99368 |
| inhibitors | 0.513423 |
| blood products | 0.460816 |
| CDC | 0.528373 |
| joint mobility | 0.462526 |
| key prevention activities | 0.573263 |
| care patterns | 0.463171 |
| Hemophilia Care | 0.647441 |
| joint disease | 0.617 |
| health issues | 0.463185 |
| future research | 0.464259 |
| public health surveillance | 0.517056 |
| health care providers | 0.506718 |
| prevention campaign messages | 0.501624 |
| joint disease results | 0.508525 |
| factor VIII gene | 0.462549 |
| hemophilia patients | 0.682064 |
| overall health | 0.465169 |
| rare disorders | 0.469087 |
| disease complications | 0.466784 |
| prevention programs | 0.471105 |
| normal blood clotting | 0.615444 |
| joint bleeding | 0.490825 |
| hemophilia lack | 0.674076 |
|
| blood-borne infections | 0.461032 |
| Platelet function testing | 0.494486 |
| health-monitoring data | 0.467604 |
| excessive bleeding | 0.480304 |
| hemophilia worldwide | 0.667993 |
| Bleeding Disorders Surveillance | 0.543692 |
| treatment product | 0.496311 |
| advance health research | 0.524864 |
| Community Counts- Registry | 0.508704 |
| national network | 0.465779 |
| Inhibitor Study | 0.519536 |
| National Prevention Program | 0.568002 |
| health data | 0.47604 |
| Span Reveals Progress | 0.492063 |
| hemophilia population | 0.674586 |
| hemophilia carriers | 0.640842 |
| healthy weight | 0.49522 |
| hemophilia treatment centers | 0.830349 |
| overweight people | 0.472975 |
| people | 0.631299 |
| Ongoing Health Challenges | 0.494136 |
| private organizations | 0.465727 |
| chronic joint disease | 0.507515 |
| target audience members | 0.492541 |
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