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Centers for Disease Control and Prevention |
Html |
en |
Trends in Foodborne Illness in the United States, 2012 - Line Graph - CDC Features |
Documenting trends—which illnesses are decreasing and increasing—is essential for monitoring our progress in reducing foodborne illness. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
Html |
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Indoor Safety During an Earthquake|Earthquakes |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| bed | 0.470327 |
| rooms | 0.487894 |
| low-lying furniture | 0.762229 |
| shelter | 0.726986 |
| hands | 0.574616 |
| lamps | 0.468632 |
| objects | 0.813507 |
| knees | 0.496261 |
| intensifies | 0.4958 |
| china cabinets | 0.741169 |
| likely source | 0.769672 |
| head | 0.816771 |
| stove | 0.478283 |
| modern houses | 0.764024 |
| debris | 0.47299 |
| bookcases | 0.592877 |
| injury | 0.555158 |
| wall hangings | 0.733657 |
| floor | 0.522926 |
| deaths | 0.474427 |
| light fixtures | 0.744358 |
| situations | 0.481858 |
| bricks | 0.471596 |
|
| interior wall | 0.762707 |
| doorways | 0.606732 |
| chance | 0.480308 |
| entire body | 0.78 |
| chimneys | 0.481033 |
| sturdy table | 0.787002 |
| doorway | 0.607892 |
| neck | 0.670103 |
| fireplaces | 0.472514 |
| TVs | 0.478232 |
| large furniture | 0.730428 |
| earthquake-related injuries | 0.783669 |
| high shelves | 0.753949 |
| chances | 0.481014 |
| desk | 0.472936 |
| pillow | 0.476353 |
| broken glass | 0.935392 |
| arms | 0.471402 |
| ground | 0.469167 |
| stops | 0.480328 |
| position | 0.47618 |
| actions | 0.467687 |
| collapse | 0.487728 |
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Centers for Disease Control and Prevention |
Html |
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Chlorodiphenyl (54% chlorine) - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
| information | 0.262482 |
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Centers for Disease Control and Prevention |
Html |
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Information for Healthcare Providers - FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| American Academy | 0.413858 |
| free continuing education | 0.491837 |
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| risky levels | 0.427234 |
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| pregnant women | 0.415318 |
| clinical decision algorithm | 0.463313 |
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| CDC Expert Commentary | 0.495367 |
| Pediatrics FASD Toolkit | 0.549077 |
| health care providers | 0.986975 |
| primary care practice | 0.511273 |
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| health professionals | 0.48574 |
| Dr. Lela McKnight-Eily | 0.485512 |
| prenatal alcohol exposure | 0.819257 |
| risky alcohol | 0.705392 |
| patient management resources | 0.497908 |
| alcohol screening | 0.669477 |
| brief intervention | 0.573235 |
| free child development | 0.467367 |
| sample care plans | 0.497749 |
| ACOG help women | 0.500419 |
|
| fetal alcohol spectrum | 0.878601 |
| free educational materials | 0.515567 |
| Dr. Joe Sniezek | 0.477556 |
| steps health care | 0.50638 |
| American Psychiatric Association | 0.513096 |
| current news articles | 0.468133 |
| Provider Resource Kit | 0.585751 |
| Neurobehavioral Disorder Associated | 0.513775 |
| drinking alcohol | 0.571165 |
| American College | 0.651597 |
| FASDs | 0.464716 |
| latest scientific articles | 0.466115 |
| CDC research | 0.413644 |
| Fetal Alcohol Syndrome | 0.647942 |
| Vital Signs report | 0.482166 |
| russian language | 0.471505 |
| alcohol spectrum disorders | 0.873288 |
| treatment referral information | 0.496836 |
| web-based FASD Toolkit | 0.551314 |
| alcohol SBI | 0.601006 |
| effective FASD team | 0.535976 |
| brief educational counseling | 0.475206 |
| information | 0.517192 |
| Primary Care Practices | 0.511667 |
|
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| 6547 |
Centers for Disease Control and Prevention |
Html |
es |
Comprométase a dejar de fumar en 2015 |
Al comenzar un nuevo año, propóngase hacer del 2016 el año en que dejó de fumar. Hay ayuda disponible para que deje de fumar para siempre. |
| adictiva llamada | 0.730132 |
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| Estados Unidos | 0.720893 |
|
| Archivo Microsoft | 0.926119 |
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| texto vÃa teléfono | 0.817557 |
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| Nueva York | 0.726548 |
| Archivo Microsoft Excel | 0.786007 |
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Centers for Disease Control and Prevention |
Html |
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Preconception Care, Health Professionals, Recommendations |
null |
| risk assessment | 0.473982 |
| adverse pregnancy outcome | 0.576357 |
| following recommendations | 0.480442 |
| Select Panel | 0.477142 |
| low incomes | 0.525697 |
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| reproductive risk | 0.473334 |
| women’s health | 0.513189 |
| Disease Control | 0.481582 |
| previous adverse outcomes | 0.55007 |
| public health surveillance | 0.557232 |
| interconception interventions | 0.520882 |
| future children | 0.474208 |
| health insurance coverage | 0.626443 |
| subsequent pregnancy | 0.493988 |
| related research mechanisms | 0.52348 |
| pre-pregnancy visit | 0.478993 |
| reproductive life plan | 0.532418 |
| Preventive Visits | 0.477572 |
| preconception care | 0.834441 |
| interconception period | 0.536967 |
| health problems | 0.509557 |
| CDC/ATSDR Preconception Care | 0.748922 |
| health literacy | 0.507501 |
|
| Insurance Coverage Women | 0.538232 |
| optimal health | 0.509961 |
| adverse pregnancy outcomes | 0.58048 |
| United States | 0.475446 |
| Life Span | 0.472299 |
| maternity care | 0.479824 |
| evidence-based risk | 0.478301 |
| health care recommendations | 0.616897 |
| high priority interventions | 0.580634 |
| preconception care services | 0.830171 |
| previous pregnancy | 0.479661 |
| primary care visits | 0.544839 |
| preconception health | 0.918613 |
| Public Health Programs | 0.556782 |
| interconception care | 0.532817 |
| greatest potential impact | 0.524142 |
| public awareness | 0.477487 |
| Consumer Awareness | 0.474146 |
| Pre-Pregnancy Check-Ups | 0.4935 |
| Work Group | 0.481076 |
| local public health | 0.555855 |
| low birthweight | 0.476416 |
| health promotion counseling | 0.562485 |
| additional intensive interventions | 0.576259 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Differences in Youth and AdultPhysical Activity in Park Settings by Sex and Race/Ethnicity -CDC |
We examined differences by sex and race/ethnicity in the observed moderate- to vigorous-intensity physical activity (MVPA) of youth and adults in diverse areas of 4 parks in Kansas City, Missouri, in 2009. Male youth were more active on playgrounds and pools or splashpads than female youth. White youth were less active than nonwhite youth in open spaces and on paved trails. Male adults were more active in open spaces than female adults, and white adults were more active on paved trails than nonwhite adults. Understanding variations in MVPA between user groups can inform park design efforts to foster increased activity among all visitors. |
| park-based MVPA | 0.53897 |
| male adults | 0.423236 |
| park design efforts | 0.393433 |
| park users | 0.4285 |
| MVPA behavior | 0.531307 |
| Kansas State University | 0.466918 |
| areas | 0.384325 |
| white youth | 0.45287 |
| parks | 0.403617 |
| paved trails | 0.662804 |
| park MVPA | 0.544416 |
| MVPA intensity level | 0.593975 |
| park activity area | 0.4222 |
| Phys Act Health | 0.429593 |
| unique activity areas | 0.381611 |
| Kansas City | 0.434754 |
| nonwhite adults | 0.659777 |
| white adults | 0.507649 |
| open spaces | 0.830707 |
| MVPA levels | 0.615273 |
| nonwhite race/ethnicity groups | 0.47702 |
| vigorous-intensity physical activity | 0.522245 |
| picnic shelters | 0.582793 |
| park target areas | 0.373392 |
|
| nonwhite groups | 0.414226 |
| study | 0.354448 |
| active paved trail | 0.383547 |
| various park settings | 0.379868 |
| Previous research | 0.35125 |
| greater MVPA | 0.540086 |
| South Carolina | 0.371494 |
| observable target areas | 0.356947 |
| nonwhite youth | 0.84722 |
| park physical activity | 0.382887 |
| female park users | 0.401211 |
| versus nonwhite users | 0.492654 |
| health-promoting MVPA | 0.538537 |
| median annual household | 0.342285 |
| undeveloped open spaces | 0.366691 |
| physical activity | 0.624806 |
| important MVPA resources | 0.555251 |
| female adults | 0.426093 |
| natural activity zones | 0.365365 |
| sufficient sample size | 0.341585 |
| female youth | 0.520721 |
| nonwhite category | 0.416486 |
| MVPA | 0.964528 |
| male youth | 0.521498 |
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| 10152 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Global Health Security - What CDC Is Doing |
The importance of global health security has never been clearer. |
| CDC | 0.502842 |
| endorsement | 0.434838 |
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| importance | 0.42638 |
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| speed | 0.422261 |
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|
| New microbes | 0.562161 |
| international priority | 0.529654 |
| safe world | 0.5187 |
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| global partners | 0.522208 |
| risks | 0.425242 |
| non-federal site | 0.535732 |
| concepts | 0.420442 |
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| progress | 0.421585 |
| drug resistance | 0.538176 |
| travel | 0.422362 |
| employees | 0.420416 |
| global health security | 0.96527 |
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| 12702 |
Centers for Disease Control and Prevention |
Video |
en |
HIV/AIDS 101 |
HIV/AIDS 101 is a video that uses new technologies, cutting edge graphics and story to convey the most important messages that everyone needs to know about HIV and prevention. It has a message that we all need to know and share with our friends and loved ones. It features a young man searching his computer tablet for information on AIDS, and finds, with a little help, it's right there "at his fingertips."
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/HivAids101/index.html |
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| 15745 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Outbreak of Listeriosis Associatedwith Consumption of Packaged Salad - United States and Canada,2015-2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| food safety plans | 0.672299 |
| Canadian clinical isolates | 0.721619 |
| Listeria Initiative questionnaire | 0.904404 |
| Human Services | 0.638047 |
| outbreak PFGE pattern | 0.737784 |
| Public Health Agency | 0.669808 |
| potentially contaminated food | 0.671728 |
| isolation dates | 0.684375 |
| U.S. Department | 0.638487 |
| Canadian Food Inspection | 0.681818 |
| 6Public Health Agency | 0.659511 |
| Julie L. Self | 0.646154 |
| contaminated food products | 0.684229 |
| electronic PDF version | 0.649446 |
| listeriosis cluster | 0.621758 |
| national food consumption | 0.691916 |
| Zoonotic Infectious Diseases | 0.645562 |
| foodborne disease surveillance | 0.685336 |
| Listeria monocytogenes | 0.704778 |
| standardized Listeria Initiative | 0.774038 |
| median allele differences | 0.84962 |
| shopper card records | 0.669099 |
| consuming leafy greens | 0.691646 |
| various brand names | 0.66535 |
| Food Inspection Agency | 0.804226 |
|
| market withdrawal | 0.75009 |
| leafy green vegetables | 0.6909 |
| two-enzyme pulsed-field gel | 0.681477 |
| 1Epidemic Intelligence Service | 0.651282 |
| United States | 0.660288 |
| original MMWR paper | 0.653599 |
| possible Listeria contamination.* | 0.754509 |
| U.S. clinical isolates | 0.725969 |
| Drug Administration | 0.670762 |
| CDC outbreak website | 0.740975 |
| brand names | 0.674574 |
| preterm live birth | 0.660604 |
| outbreak strain | 0.634855 |
| foodborne illness outbreak | 0.736735 |
| Fresh produce processors | 0.645888 |
| previously interviewed patients | 0.6724 |
| voluntarily halted production | 0.66597 |
| Listeria.††The Listeria Initiative | 0.728426 |
| fresh produce | 0.694129 |
| salad products | 0.633436 |
| whole-genome multilocus sequence | 0.67838 |
| Ohio facility | 0.995845 |
| national molecular subtyping | 0.689032 |
| 7Canadian Food Inspection | 0.673367 |
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