| 4925 |
Centers for Disease Control and Prevention |
Html |
es |
El cáncer y los hombres |
Cada año, el cáncer cobra la vida de aproximadamente 300,000 hombres en los Estados Unidos. Los hombres pueden reducir su riesgo de contraer varios de los tipos de cáncer más comunes. |
| Archivo Apple Quicktime | 0.442685 |
| Archivo RealPlayer | 0.394289 |
| Archivo Microsoft PowerPoint | 0.456845 |
| Archivo Adobe PDF | 0.442154 |
| adolescentes varones | 0.383966 |
| Estados Unidos | 0.910087 |
| Archivo Microsoft | 0.679658 |
| Archivo Microsoft Word | 0.455116 |
|
| actor jimmy smits | 0.431954 |
| Archivo Texto | 0.388521 |
| cigarrillos causa | 0.388084 |
| Archivo Zip Comprimido | 0.441372 |
| niños varones | 0.381732 |
| detección salva vidas | 0.486704 |
| Archivo Microsoft Excel | 0.443654 |
| luz ultravioleta | 0.383166 |
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| 6197 |
Centers for Disease Control and Prevention |
Html |
en |
Strategies implemented by 20 local tobacco control agencies to promote smoke-free recreation areas, California, 2004-2007. |
null |
| local policy adoption | 0.309442 |
| smoke-free policy | 0.710382 |
| recreational areas | 0.305315 |
| county | 0.353261 |
| support smoke-free policy | 0.461112 |
| local data | 0.302234 |
| tobacco control programs | 0.311215 |
| smoke-free park/beach ordinances | 0.3243 |
| local smoke-free policy | 0.520349 |
| secondhand smoke | 0.400523 |
| smoke-free baseball park | 0.326886 |
| local policy initiatives | 0.29959 |
| smoke-free beach ordinance | 0.320285 |
| smoke-free beaches | 0.294402 |
| smoke-free fair | 0.318543 |
| tobacco smoke-free policies | 0.402687 |
| smoke-free outdoor area | 0.373677 |
| decision makers | 0.388743 |
| smoke-free outdoor policies | 0.473454 |
| smoke-free beach/pier policy | 0.416041 |
| local projects | 0.376706 |
| local policy change | 0.408103 |
| Smoke-free pride parades | 0.322238 |
| smoke-free parks | 0.365859 |
| Angeles County Smoke-free | 0.352849 |
|
| city councils | 0.378176 |
| smoke-free outdoor areas | 0.376928 |
| smoke-free outdoor spaces | 0.394216 |
| smoke-free events | 0.297435 |
| outdoor smoke-free policies | 0.486944 |
| (event coordinators) | 0.399505 |
| tobacco control policy | 0.392767 |
| smoke-free policies | 0.775192 |
| local smoke-free policies | 0.51928 |
| local political climate | 0.506575 |
| smoke-free ordinance | 0.299559 |
| successful local policy | 0.315212 |
| local policy makers | 0.311389 |
| voluntary smoke-free policy | 0.392659 |
| outdoor smoke-free policy | 0.519653 |
| Tobacco Control Evaluation | 0.312898 |
| tobacco control program | 0.480619 |
| comprehensive smoke-free policy | 0.379824 |
| local tobacco control | 0.455195 |
| tobacco control organizations | 0.298835 |
| smoke-free recreational facilities | 0.361723 |
| policy makers | 0.463088 |
| smoke-free policy efforts | 0.502257 |
| tobacco control | 0.940711 |
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| 6509 |
Centers for Disease Control and Prevention |
Html |
en |
Maps - Yellow Fever |
Maps of Yellow fever endemic areas in Africa and South America. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 6563 |
Centers for Disease Control and Prevention |
Html |
null |
Get Smart About Antibiotics | What Everyone Should Know |
Antibiotic resistance is a growing problem due to overuse and misuse of antibiotics.
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CLICK HERE |
| 10281 |
Centers for Disease Control and Prevention |
Html |
en |
Refrigerated Drugs'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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| 11035 |
Centers for Disease Control and Prevention |
Html |
en |
Antibiotic resistance in foodborne germs is an ongoing threat | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| baseline period | 0.459758 |
| data | 0.358354 |
| troubling trends | 0.348962 |
| Campylobacter data | 0.341649 |
| antibiotic-resistant infections | 0.451223 |
| CDC’s ability | 0.403116 |
| typhoid fever | 0.450294 |
| Shigella resistance | 0.548874 |
| resistant Salmonella enteritidis | 0.719479 |
| fluoroquinolone resistance | 0.534224 |
| drug-resistant Salmonella | 0.521832 |
| drug nalidixic acid | 0.433622 |
| Disease Control | 0.351344 |
| CDC website | 0.406655 |
| fluoroquinolone drug | 0.43384 |
| common Salmonella type | 0.622363 |
| greater resistance | 0.550043 |
| CDC NARMS monitors | 0.658535 |
| public health partners | 0.439109 |
| NARMS report | 0.489805 |
| resistance | 0.910991 |
| Salmonella serotype | 0.546438 |
| CDC’s Division | 0.422664 |
| Ceftriaxone resistance | 0.557378 |
| National Antimicrobial Resistance | 0.669749 |
|
| CDC NARMS | 0.687699 |
| widely used fluoroquinolone | 0.427103 |
| Shigella strains | 0.341681 |
| resistant germs | 0.520445 |
| recent data | 0.35037 |
| United States | 0.490166 |
| resistance levels | 0.553396 |
| Salmonella typhi | 0.562185 |
| public health threat | 0.47233 |
| resistant Salmonella infections | 0.765668 |
| foodborne germs | 0.783358 |
| percent | 0.409655 |
| nalidixic acid | 0.543037 |
| multi-drug resistant Salmonella | 0.794842 |
| annual funding level | 0.420814 |
| antibiotic resistance | 0.897066 |
| latest data | 0.342571 |
| public health | 0.474003 |
| percent reduction | 0.369597 |
| common foodborne germs | 0.555006 |
| severe Salmonella infections | 0.725847 |
| Salmonella Heidelberg infections | 0.732909 |
| urgent antibiotic resistance | 0.688551 |
| Campylobacter resistance | 0.549439 |
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| 11625 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: Update on Ebola Response Tool | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| data | 0.563043 |
| maggie fox | 0.424071 |
| United Nations | 0.458144 |
| advisable treatment units | 0.414458 |
| guinea | 0.410105 |
| ETUs | 0.451427 |
| joint force command | 0.663006 |
| number | 0.463792 |
| direct patient care | 0.417934 |
| terms | 0.426792 |
| things | 0.446963 |
| model | 0.433157 |
| good morning | 0.521846 |
| epidemic | 0.485816 |
| tom frieden | 0.928493 |
| countries | 0.473369 |
| Asian countries | 0.408127 |
| ebola treatment units | 0.789227 |
| Ebola response tool | 0.474243 |
| community care models | 0.418043 |
| eben brown | 0.450372 |
| ground | 0.495549 |
| richard besser | 0.455054 |
| care | 0.52777 |
| Ebola virus disease | 0.421121 |
|
| Ebola epidemic | 0.418027 |
| community care | 0.457131 |
| Miss Smith | 0.43134 |
| line | 0.430242 |
| MENU
CDC A-Z | 0.411554 |
| TOM SKINNER | 0.781582 |
| death rate | 0.427574 |
| Sierra Leone | 0.618633 |
| Ebola care units | 0.451881 |
| emergency Ebola response | 0.456165 |
| dr. frieden | 0.956769 |
| health care workers | 0.42118 |
| gayle smith | 0.915822 |
| Dr. Tom Frieden | 0.524695 |
| cases | 0.409286 |
| question | 0.58178 |
| Ebola treatment centers | 0.43825 |
| lena sun | 0.424472 |
| Ms. Gayle Smith | 0.519722 |
| people | 0.50863 |
| assistance response team | 0.425342 |
| OPERATOR | 0.43844 |
| response | 0.648677 |
| West Africa | 0.412595 |
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| 13418 |
Centers for Disease Control and Prevention |
Html |
en |
Adults Meeting Fruit and Vegetable Intake Recommendations -United States, 2013 |
Latetia V. Moore, PhD1; Frances E. Thompson, PhD2 (Author affiliations at end of text). |
| dietary guidelines | 0.469033 |
| physical activity daily | 0.539721 |
| fruit intake recommendations | 0.664894 |
| vegetable consumption | 0.538555 |
| orange vegetables | 0.508679 |
| fruit recommendations | 0.482442 |
| health risk behaviors | 0.474187 |
| moderate physical activity | 0.538393 |
| median daily frequency | 0.491897 |
| underestimate intake | 0.518434 |
| population meeting recommendations | 0.491828 |
| BRFSS | 0.536195 |
| fruit juice | 0.518264 |
| federal intake recommendations | 0.604782 |
| day-to-day dietary variation | 0.471223 |
| vegetable intake information | 0.613486 |
| intake data | 0.534949 |
| vegetable intake recommendations | 0.818042 |
| income-to-poverty ratio | 0.515589 |
| BRFSS survey module | 0.476661 |
| substantial variation | 0.470989 |
| cup equivalents | 0.550167 |
| dietary recall data | 0.473709 |
| daily intake frequencies | 0.566623 |
| respondents | 0.512134 |
|
| median American Association | 0.473655 |
| newly developed prediction | 0.476511 |
| Frances E. Thompson | 0.470893 |
| BRFSS captures frequency | 0.485455 |
| national estimates | 0.474706 |
| preventive health services | 0.473709 |
| low fruit | 0.472045 |
| Behavioral Risk Factor | 0.469872 |
| fewer vegetables | 0.471875 |
| population meeting | 0.506325 |
| vegetables | 0.593044 |
| vegetable recommendations | 0.512789 |
| Latetia V. Moore | 0.531867 |
| Self-reported intake | 0.518381 |
| child care | 0.504672 |
| BRFSS respondents | 0.504314 |
| 50 states | 0.504073 |
| random-digit–dialed telephone survey | 0.469884 |
| prediction equations | 0.577004 |
| vegetable intake | 0.934452 |
| total U.S. population | 0.47479 |
| meeting vegetable intake | 0.593284 |
| dark green vegetables | 0.569167 |
| dietary surveillance information | 0.476615 |
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| 14099 |
Centers for Disease Control and Prevention |
Html |
en |
Possible Association Between Zika Virus Infection and Microcephaly - Brazil, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Embryopathy Task Force | 0.47994 |
| Zika virus | 0.959129 |
| autochthonous Zika virus | 0.503542 |
| task force | 0.518729 |
| pregnant women | 0.498212 |
| Brazil | 0.563648 |
| birth prevalence | 0.462235 |
| gestational age | 0.528135 |
| incident microcephaly cases | 0.594671 |
| Zika virus exposure | 0.501637 |
| Zika virus RNA | 0.571836 |
| infants | 0.539805 |
| previously reported estimates | 0.46658 |
| northeast Brazil | 0.46348 |
| virus-associated congenital infections | 0.459403 |
| microcephaly registry | 0.559631 |
| Brazil Ministry | 0.488953 |
| dengue virus | 0.490248 |
| pregnancy | 0.472771 |
| insect repellents | 0.480187 |
| microcephaly depend | 0.545987 |
| Zika virus–related cases | 0.495839 |
| newly circulating virus | 0.483962 |
| live births | 0.477979 |
|
| rash illness | 0.50019 |
| major congenital anomalies | 0.459282 |
| head circumference | 0.563756 |
| Environmental Protection Agency | 0.488638 |
| Rio Grande | 0.46978 |
| term infants | 0.452797 |
| simplex virus infections | 0.491214 |
| microcephaly cases | 0.599596 |
| adverse pregnancy outcomes | 0.453928 |
| MoH | 0.465363 |
| pregnancy outcomes | 0.454888 |
| possible association | 0.465986 |
| congenital anomalies | 0.491283 |
| Zika virus infection | 0.834597 |
| congenital infections | 0.540316 |
| U.S. Environmental Protection | 0.488397 |
| special notification protocol | 0.466256 |
| potential Zika virus | 0.542261 |
| Medical Genetics | 0.468088 |
| northeastern Brazil | 0.467739 |
| Zika Embryopathy Task | 0.470829 |
| Zika virus-affected areas | 0.570503 |
| potential breeding areas | 0.455835 |
| neonatal head circumference | 0.4539 |
|
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| 14221 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| sleep disorders | 0.658774 |
| optimal health | 0.202646 |
| good sleep habits | 0.862684 |
| light-emitting electronic devices | 0.334864 |
| American Academy | 0.347209 |
| original MMWR paper | 0.296869 |
| poor mental health | 0.33095 |
| Human Services | 0.278597 |
|
| Research Society recommend | 0.353079 |
| U.S. Department | 0.273221 |
| National Sleep Foundation | 0.74726 |
| high blood pressure | 0.325569 |
| electronic PDF version | 0.289225 |
| Sleep Research Society | 0.979776 |
| Sleep Medicine | 0.69189 |
| Consensus Conference Panel | 0.307208 |
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