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Centers for Disease Control and Prevention |
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Birth Defects are Common | CDC Features |
January is National Birth Defects Prevention Month. Birth defects are common, affecting 1 in every 33 babies born in the United States. Help increase awareness in your community. |
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Vermont Activities to Prevent HAIs |
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| MPEG | 0.250796 |
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| different file formats | 0.60504 |
| Affordable Care Act | 0.614303 |
| Epidemiology | 0.42061 |
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| recent work | 0.676102 |
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| infectious disease | 0.74872 |
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| Infectious Diseases | 0.870834 |
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Centers for Disease Control and Prevention |
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U.S. Teen Birth Rate Fell to Record Low in 2009 - Press Release: April 5, 2011 |
U.S. Teen Birth Rate Fell to Record Low in 2009 |
| key priority | 0.233659 |
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| CDC Director Thomas | 0.449393 |
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| teen parents | 0.508318 |
| high cost | 0.241953 |
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| cost U.S. taxpayers | 0.356252 |
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| United States | 0.248781 |
| black teen males | 0.64057 |
| Signs report | 0.290231 |
| percent | 0.488546 |
| cardiovascular health | 0.251633 |
| non-Hispanic blacks | 0.25985 |
| U.S. DEPARTMENT | 0.238846 |
| latest data | 0.23655 |
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Centers for Disease Control and Prevention |
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Vital Signs: Walking Among Adults - United States, 2005 and 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. |
| equivalent aerobic activity | 0.474215 |
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| National Health Interview | 0.480859 |
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| moderate-intensity physical activity | 0.473623 |
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| substantial health benefits | 0.507772 |
| body mass index | 0.471248 |
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| aerobic physical activity | 0.797368 |
| regular physical activity | 0.522528 |
| frequently reported activity | 0.461886 |
| assistance status | 0.437853 |
| health benefits | 0.512755 |
| National Physical Activity | 0.479549 |
| age group | 0.438208 |
| Usual walking time | 0.506985 |
| mass index category | 0.469373 |
|
| National Prevention Strategy | 0.438387 |
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| National Cancer Institute | 0.456442 |
| higher walking prevalence | 0.520157 |
| public health | 0.494732 |
| U.S. residents | 0.515721 |
| physician-diagnosed chronic disease | 0.437975 |
| vigorous-intensity activity | 0.441568 |
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| chronic diseases | 0.4728 |
| age-adjusted national estimates | 0.437634 |
| adult core questionnaire | 0.457371 |
| U.S. adults | 0.513951 |
| physical activity | 0.966581 |
| Chronic Disease Prevention | 0.452222 |
| public health data | 0.446782 |
| Dianna D. Carroll | 0.454433 |
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| recent walking | 0.482934 |
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Centers for Disease Control and Prevention |
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La evolución del programa Pasos, 2003-2010: Transformación de la prácticas de la salud pública federal para la prevención de enfermedades crónicas |
CDC - Wide Page example description goes here |
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| Ussery-Hall A | 0.631263 |
| Estados Unidos | 0.944878 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Cryptosporidiosis Associated withConsumption of Unpasteurized Goat Milk - Idaho, 2014 |
Mariana Rosenthal, PhD1,2, Randi Pedersen, MPH3, Scott Leibsle, DVM4, Vincent Hill, PhD5, Kris Carter, DVM2, Dawn M. Roellig, PhD5 (Author affiliations at end of text). |
| real-time polymerase chain | 0.289136 |
| identical Cryptosporidium genotype | 0.33569 |
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| Dawn M. Roellig | 0.288366 |
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| raw milk | 0.490922 |
| ill persons | 0.455731 |
| health care providers | 0.576579 |
| Idaho State Department | 0.46657 |
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| public health officials | 0.305098 |
| confirmatory laboratory evidence | 0.266583 |
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| Goat stool | 0.226499 |
| Environmental Diseases | 0.250792 |
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| fluorescent antibody test | 0.426117 |
| illness onset | 0.292086 |
| 3Southwest District Health | 0.313125 |
| Cryptosporidium parvum subtype | 0.354308 |
| direct fluorescent antibody | 0.426156 |
|
| 1Epidemic Intelligence Service | 0.256814 |
| Idaho Bureau | 0.281469 |
| production line | 0.26214 |
| epidemiologic evidence | 0.270251 |
| undetected contamination event | 0.266272 |
| raw milk consumption | 0.480799 |
| Public Health Districts | 0.470131 |
| Mariana Rosenthal | 0.295605 |
| Idaho law | 0.235788 |
| CDC case definitions | 0.312924 |
| milk samples | 0.405759 |
| obvious contamination sources | 0.267119 |
| District Health | 0.639274 |
| public health | 0.689944 |
| goat DNA amplification | 0.28902 |
| Idaho Department | 0.37671 |
| unpasteurized milk | 0.318357 |
| common source | 0.246926 |
| Idaho DPH | 0.311718 |
| hold order | 0.3835 |
| milk contamination | 0.313143 |
| Idaho health care | 0.367015 |
| Communicable Disease Prevention | 0.412308 |
| raw goat milk | 0.929869 |
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CDC Foundation's New Business Pulse Focuses on Food Safety |CDC Online Newsroom | CDC |
CDC Foundation’s New Business Pulse Focuses on Food Safety |
| foodborne diseases | 0.771696 |
| Centers | 0.528856 |
| foodborne infections | 0.764184 |
| CDC Foundation | 0.793912 |
| Waterborne | 0.542108 |
| deputy director | 0.669752 |
| M.D. | 0.526299 |
| percent | 0.532291 |
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| Foodborne illness | 0.769449 |
| Prevention | 0.528767 |
| expert Robert Tauxe | 0.792561 |
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| U.S. DEPARTMENT | 0.643754 |
| M.P.H. | 0.526265 |
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| guidelines | 0.52532 |
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| issue | 0.526685 |
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| visit http://www.cdcfoundation.org/businesspulse | 0.638725 |
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| HUMAN SERVICES | 0.64326 |
| Business Pulse | 0.900946 |
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Centers for Disease Control and Prevention |
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E-cigarette Ads and Youth | VitalSigns |
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. |
| tobacco prevention approaches | 0.44014 |
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| positive example | 0.282868 |
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| magazines/newspapers | 0.251603 |
| unregulated tobacco products | 0.458691 |
| active role | 0.281742 |
| youth | 0.65585 |
| state tobacco prevention | 0.454855 |
| E-cigarette companies | 0.306427 |
| Fund tobacco prevention | 0.599984 |
| Work | 0.23491 |
| e-cigarette ads | 0.488623 |
| health care providers | 0.35514 |
| brain development | 0.303469 |
| Real Cost | 0.285954 |
| tobacco prevention | 0.740682 |
| media children | 0.276902 |
| saw e-cigarette ads | 0.391034 |
| saw e-cigarettes ads | 0.383291 |
| tobacco products | 0.869113 |
| tobacco prevention actions | 0.470871 |
| mass media campaigns | 0.501106 |
| Internet | 0.299943 |
| health effects | 0.284259 |
|
| TV/movies | 0.251578 |
| Tobacco product advertising | 0.493798 |
| advertising spending | 0.28634 |
| tobacco price increases | 0.605404 |
| comprehensive smoke-free laws | 0.525981 |
| high-impact mass media | 0.51552 |
| states | 0.238447 |
| Support efforts | 0.369326 |
| Fresh Empire | 0.282813 |
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| free help | 0.284961 |
| CDC’s Tips | 0.28451 |
| middle school students | 0.631431 |
| youth tobacco prevention | 0.586113 |
| e-cigarette advertisements | 0.309402 |
| age verification | 0.279142 |
| high school students | 0.971506 |
| e-cigarettes | 0.519629 |
| high school youth | 0.599634 |
| continued tobacco product | 0.497725 |
| CDC-recommended levels | 0.380115 |
| websites | 0.242369 |
| ad exposure | 0.370215 |
| retail stores | 0.676383 |
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Summary* Recommendations: Prevention and Control of Influenza with Vaccines: Recommendations of the Advisory Committee on Immunization Practices-(ACIP)-United States, 2013-14 |
Summary Recommendations: Prevention and Control of Influenza with Vaccines: Recommendations of the Advisory Committee on Immunization Practices—(ACIP)—United States, 2013-14 - CDC |
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Trends in Obesity Among Participants Aged 2-4 Years in theSpecial Supplemental Nutrition Program for Women, Infants, andChildren - United States, 2000-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| WIC state agencies | 0.92207 |
| overall prevalence | 0.220628 |
| prevalence ratios | 0.216692 |
| overall obesity trend | 0.232734 |
| prevalence ratio | 0.215883 |
| Obesity prevalences | 0.204917 |
| national prevalence | 0.221685 |
| WIC children | 0.310493 |
| Northern Mariana Islands | 0.235149 |
| Supplemental Nutrition Program | 0.272767 |
| House Childhood Obesity | 0.224863 |
| early childhood obesity | 0.345999 |
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| Pediatric Nutrition Surveillance | 0.222189 |
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| sex-specific body mass | 0.204637 |
| non-Hispanic blacks | 0.206337 |
| WIC PC | 0.395606 |
| obesity prevention | 0.233528 |
|
| adjusted prevalence | 0.223189 |
| WIC food packages | 0.276188 |
| U.S. territories | 0.255029 |
| non-Hispanic whites | 0.204572 |
| obesity prevalence | 0.810894 |
| overall obesity trends | 0.235208 |
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| CDC growth charts | 0.20667 |
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| high prevalence | 0.206164 |
| USDA WIC program | 0.277663 |
| physical activity | 0.250418 |
| low-income families | 0.238402 |
| ECE Obesity Prevention | 0.223366 |
| overall obesity prevalence | 0.446581 |
| obesity surveillance | 0.209503 |
| childhood obesity | 0.357304 |
| WIC PC data | 0.378833 |
| national obesity initiatives | 0.222978 |
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