| 8017 |
Centers for Disease Control and Prevention |
Html |
en |
Human Immunodeficiency Virus (HIV) Disease Death Rates* Among Men Aged 25-54 Years, by Race and Age Group - National Vital Statistics System, United States, 2000-2010 |
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. |
| mmwrq@cdc.gov. | 0.405318 |
| endorsement | 0.343571 |
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| Alternate Text | 0.395251 |
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| identification | 0.315672 |
| white men | 0.587294 |
| electronic PDF version | 0.45855 |
| e-mail | 0.335718 |
| HIV disease death | 0.829553 |
| period | 0.332903 |
| shows human immunodeficiency | 0.48537 |
| Contact GPO | 0.407055 |
| commercial sources | 0.394059 |
| current prices | 0.38864 |
| original paper copy | 0.454523 |
| Internet | 0.315493 |
| United States | 0.397998 |
| original MMWR paper | 0.459391 |
| Superintendent | 0.317269 |
| assistance | 0.318211 |
|
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| HIV death disease | 0.50724 |
| non-CDC sites | 0.391421 |
| References | 0.315518 |
| report | 0.317131 |
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|
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| 8820 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Trends in Trans Fatty Acids Reformulations of US Supermarket and Brand-Name Foods From 2007 Through 2011 - CDC |
Although some US food manufacturers have reduced trans fatty acids (TFA) in their products, it is unknown how much TFA is being reduced, whether pace of reformulation has changed over time, or whether reformulations vary by food type or manufacturer. |
| 0.5 or more g per serving TFA at | 0.642159 |
| TFA reduction | 0.694486 |
| industrial TFA | 0.602583 |
| foods | 0.452286 |
| TFA consumption | 0.652927 |
| high TFA contents | 0.600242 |
| fries/other potato products | 0.453396 |
| new products | 0.456727 |
| TFA declines | 0.598696 |
| certain food categories | 0.459622 |
| total TFA | 0.592473 |
| TFA % change | 0.58543 |
| muffin products | 0.450477 |
| average TFA content | 0.695067 |
| major brand-name products | 0.480832 |
| products | 0.590358 |
| TFA-containing products | 0.46715 |
| TFA % changed,e64.6 | 0.581756 |
| supermarket food products | 0.489996 |
| corresponding TFA content | 0.645536 |
| ruminant TFA | 0.58861 |
| food manufacturers | 0.457703 |
| mean TFA content | 0.744463 |
|
| TFA % changed,e−78.4 | 0.583167 |
| major national products | 0.475359 |
| theoretical average TFA | 0.606809 |
| popcorn products | 0.459652 |
| total combined TFA | 0.607778 |
| TFA reformulation efforts | 0.6088 |
| brand-name food products | 0.470162 |
| TFA intake | 0.591077 |
| Pepperidge Farm | 0.455942 |
| average TFA | 0.714154 |
| average TFA reduction | 0.618484 |
| industrially produced TFA | 0.632027 |
| Betty Crocker | 0.47708 |
| TFA content | 0.939921 |
| blood TFA levels | 0.633479 |
| TFA reformulation | 0.625836 |
| food categories | 0.500524 |
| smaller TFA reductions | 0.632381 |
| TFA reformulations | 0.62999 |
| actual TFA contents | 0.614046 |
| TFA change | 0.643946 |
| TFA contents | 0.653914 |
| dairy products | 0.450466 |
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| 9461 |
Centers for Disease Control and Prevention |
Html |
es |
Creación de incentivos para mejorar la salud poblacional |
null |
| programa head start | 0.651374 |
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| 4th ave s | 0.653651 |
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| Wood Johnson Foundation | 0.648905 |
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| Asch DA | 0.591107 |
| Salud Pública | 0.74537 |
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| variable dependiente | 0.604752 |
|
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| alta calidad | 0.591105 |
| Saskatchewan S7K | 0.587367 |
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| Werner RM | 0.589181 |
| fundación california endowment | 0.656094 |
|
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| 9724 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Jamason - Historias de la vida real - Consejos de exfumadores |
La historia de Jamason es acerca de tener un ataque de asma provocado por el humo de segunda mano a los 16 años. |
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| Archivo Zip Comprimido | 0.763128 |
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|
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| 9926 |
Centers for Disease Control and Prevention |
Html |
en |
Flu Partner Success Story: Fort Wayne-Allen County Department of Health |
Partnership success stories, Fort Wayne-Allen County Department of Health, “I Did It for You” - CDC |
| healthcare providers | 0.342447 |
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|
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| Indiana State Department | 0.369286 |
| Wayne-Allen County Department | 0.640212 |
| flu vaccinations | 0.386718 |
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| flu vaccination rates | 0.667163 |
| radio spots | 0.220527 |
| contact John Silcox | 0.327087 |
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|
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| 11784 |
Centers for Disease Control and Prevention |
Html |
en |
Cluster of Ebola Cases Among Liberian and U.S. Health Care Workers in an Ebola Treatment Unit and Adjacent Hospital - Liberia, 2014 |
Joseph D. Forrester, MD1, Jennifer C. Hunter, DrPH1, Satish K. |
| undiagnosed Ebola | 0.415376 |
| ETU | 0.389991 |
| international health care | 0.280318 |
| HCW staff members | 0.312876 |
| Ebola virus transmission | 0.529279 |
| CDC Ebola virus | 0.482227 |
| adjacent general hospital | 0.30416 |
| Ebola virus | 0.951504 |
| Social Welfare | 0.363432 |
| HCWs | 0.368473 |
| Ebola transmission | 0.446768 |
| HCW working | 0.285796 |
| hospital A emergency | 0.299711 |
| undetected Ebola patients | 0.453936 |
| additional HCW cases | 0.325623 |
| personal protective equipment | 0.638345 |
| adjacent hospital | 0.29029 |
| health care environment | 0.285426 |
| health care practices | 0.284371 |
| emergency department | 0.431001 |
| Liberian Ministry | 0.302982 |
| potentially exposing HCWs | 0.279115 |
| ebola cases | 0.493485 |
| exposure | 0.312965 |
|
| virus transmission modes | 0.301525 |
| health care settings | 0.294317 |
| general medical care | 0.33241 |
| Ebola patients | 0.587282 |
| Ebola Treatment Unit | 0.480801 |
| HCW | 0.338107 |
| undiagnosed HCW | 0.280649 |
| Ebola virus disease | 0.561838 |
| probable case | 0.311538 |
| U.S. Health Care | 0.297984 |
| Ebola virus infection | 0.627277 |
| undetected Ebola | 0.466522 |
| health care workers | 0.340096 |
| previous Ebola outbreaks | 0.47774 |
| hospital | 0.352976 |
| health care | 0.423208 |
| HCW exposure | 0.2944 |
| private community hospital | 0.289539 |
| infected HCWs | 0.28745 |
| common source exposure | 0.277589 |
| ongoing Ebola virus | 0.504105 |
| Ebola treatment units | 0.477395 |
| HCW cluster | 0.286115 |
| Joseph D. Forrester | 0.33063 |
|
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| 12668 |
Centers for Disease Control and Prevention |
Video |
en |
Behind the Scenes: Emergency Operations Center |
Take a look behind-the-scenes at the command center and staff responsible for coordinating emergency response to domestic and
international public health threats. Since 2001, CDC has responded to dozens of events and incidents including the Anthrax attacks, Hurricane Katrina and SARS, Monkeypox, E. coli, and Novel H1N1 Flu outbreaks.
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/cdctv/ |
|
| Emergency Operations | 0.707045 |
|
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| 13309 |
Centers for Disease Control and Prevention |
Html |
en |
Tools for Successful CHI Efforts - CHI Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| template | 0.620159 |
| checklists | 0.617939 |
| Sustain Improvement Results—are | 0.831081 |
| Charitable Hospitals | 0.702327 |
| five-step CHI process | 0.855072 |
| IRS Final Rule | 0.815781 |
| Getting Started | 0.814523 |
| sources | 0.616158 |
| Foundation Culture | 0.700232 |
| Communicate | 0.620121 |
| box | 0.618635 |
| point | 0.616287 |
| Implementation | 0.616089 |
| Internal Revenue Service | 0.799482 |
| Health Prize Criteria | 0.786363 |
| reference | 0.616986 |
| Robert Wood Johnson | 0.784687 |
| key concepts | 0.981326 |
| County Health Rankings | 0.790363 |
| Relevant Excerpts | 0.707901 |
| Actionable descriptions | 0.721326 |
|
| tenets—Work | 0.619362 |
| Community Health | 0.805761 |
| tenet | 0.626552 |
| execution | 0.61879 |
| Roadmaps Action Cycle | 0.802683 |
| varying needs | 0.702941 |
| Consider | 0.629609 |
| Rosenbaum | 0.622465 |
| templates | 0.617458 |
| CHI Efforts section | 0.819923 |
| framework | 0.637073 |
| chances | 0.627082 |
| CHI Navigator page | 0.806774 |
| success | 0.619694 |
| Principles | 0.616123 |
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| following | 0.616322 |
| focused | 0.616803 |
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| Engage | 0.624123 |
|
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| 15950 |
Centers for Disease Control and Prevention |
Html |
en |
Families of Newborns Affected by Zika |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Zika infection | 0.562012 |
| special health needs | 0.665949 |
| apparent symptoms | 0.547796 |
| Zika virus | 0.971135 |
| health screenings | 0.526408 |
| Act Early. | 0.628277 |
| support programs | 0.566582 |
| healthy developmental milestones | 0.651954 |
| children | 0.612617 |
| young children | 0.602436 |
| Optometric Association website | 0.627553 |
| specialty healthcare services | 0.820953 |
| developmental disabilities | 0.620023 |
| Family Health Information | 0.684909 |
| informational support | 0.55002 |
| early intervention services | 0.675274 |
| Zika Care Connect | 0.774428 |
| Parent Information | 0.566845 |
| healthy child development | 0.657049 |
| early childhood | 0.545479 |
| health problems | 0.528375 |
| significant health issues | 0.671543 |
| address Zika virus | 0.66312 |
| trained ‘support parent | 0.64449 |
| support | 0.665769 |
|
| Early Head | 0.547915 |
| free tools | 0.521784 |
| child | 0.724418 |
| parents | 0.654935 |
| Hearing Loss Resources | 0.629738 |
| long term effects | 0.665652 |
| interactive web-based tool | 0.624674 |
| Zika virus infection | 0.639217 |
| specific health conditions | 0.622462 |
| family support services | 0.661385 |
| baby’s doctor | 0.551881 |
| special needs | 0.736903 |
| early intervention | 0.952005 |
| resources | 0.632154 |
| families | 0.773444 |
| medical care | 0.553145 |
| KidsHealth Support | 0.554207 |
| comprehensive child development | 0.65226 |
| Physical Developmental Delays | 0.656814 |
| Family Voices | 0.632062 |
| support families | 0.56549 |
| baby’s health | 0.564044 |
| information | 0.686024 |
| physical developmental delay | 0.651952 |
|
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| 16440 |
Centers for Disease Control and Prevention |
Html |
en |
Burden of TB in the United States | Features | CDC |
Increase in Reported TB Cases in 2015 |
| overall TB case | 0.414344 |
| latent TB infection | 0.84074 |
| infectious TB disease | 0.388336 |
| CDC TB Website | 0.387554 |
| United States | 0.623774 |
| TB disease | 0.791738 |
| untreated latent TB | 0.416126 |
| TB prevention | 0.37531 |
|
| TB | 0.956726 |
| TB transmission | 0.353809 |
| TB case rates | 0.414421 |
| tb cases | 0.563166 |
| Reported TB Cases | 0.456649 |
| TB germs | 0.38845 |
| TB infection | 0.88461 |
|
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