| 6904 |
Centers for Disease Control and Prevention |
Html |
en |
FluView Influenza-Like Illness Activity iPhone App |
FluView iPhone Application. Explore Influenza-Like Illness (ILI) Activity Levels across the US - CDC |
| patient visits | 0.662065 |
| jurisdiction | 0.450027 |
| FluView surveillance components | 0.811443 |
| Illness Surveillance Network | 0.818631 |
| ILI activity levels | 0.967716 |
| average percent | 0.67531 |
| influenza virus circulation | 0.800444 |
| outpatient visits | 0.733595 |
| U.S. Outpatient Influenza-like | 0.812833 |
|
| application | 0.459351 |
| ILINet | 0.452647 |
| https://www.cdc.gov/flu/weekly/overview.htm#Outpatient | 0.428507 |
| U.S. Virgin Islands | 0.731311 |
| ILI visits | 0.888856 |
| information | 0.453608 |
| health care providers | 0.73176 |
| District | 0.427521 |
|
CLICK HERE |
| 7113 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0284 |
The objective of this study was to examine perceptions of weight appropriateness and the effect of weight on health among South Asian Americans. |
| cardiovascular disease | 0.233313 |
| South Asian Americans | 0.703853 |
| BMI categories | 0.239424 |
| South Asian population | 0.237389 |
| normal weight | 0.484081 |
| United States | 0.62092 |
| overweight participants | 0.345163 |
| South Asians | 0.293193 |
| chronic diseases | 0.268449 |
| weight | 0.933488 |
| health | 0.456951 |
|
| WHO-defined BMI categories | 0.213262 |
| Perceived weight status | 0.200318 |
| general population | 0.284721 |
| actual weight status | 0.237291 |
| weight appropriateness | 0.21899 |
| weight status | 0.801843 |
| obese participants | 0.407424 |
| personal health | 0.268524 |
| overweight | 0.467564 |
| public health action | 0.220641 |
| participants | 0.42356 |
|
CLICK HERE |
| 7485 |
Centers for Disease Control and Prevention |
Html |
en |
Poison Center and Public Health Collaborations Community of Practice - Understanding Chemical Exposures |
Poison Center and Public Health Collaborations Community of Practice (CoP) |
| Poison Control Center | 0.56129 |
| Center Data Assessment | 0.381201 |
| Environmental Health Section | 0.380547 |
| Health Sciences Center | 0.43343 |
| Virginia Poison Center | 0.558868 |
| Health Studies Branch | 0.569268 |
| California Poison Control | 0.519481 |
| illness surveillance | 0.367541 |
| Opioid Surveillance Webinar | 0.389653 |
| public health surveillance | 0.527219 |
| Poison Information Center | 0.531997 |
| Rocky Mountain Poison | 0.595775 |
| Health Care Burden | 0.37733 |
| Occupational Health | 0.363262 |
| Medical Toxicology | 0.354829 |
| Unintentional Injury Prevention | 0.39173 |
| Community Health Investigation | 0.3819 |
| CDC EIS Officer | 0.329595 |
| Department (TCHD) | 0.414548 |
| Poison Control Centers | 0.604061 |
| public health collaborations | 0.561845 |
| CDC Epidemic Intelligence | 0.338143 |
| Medical Director | 0.328959 |
| Center Executive Director | 0.3701 |
|
| Poison Control | 0.691915 |
| Public Health Collaboration | 0.525575 |
| Poison Center Data | 0.654218 |
| Tennessee Poison Control | 0.539928 |
| public health support | 0.40621 |
| Studies Branch CDC | 0.331279 |
| National Poison Data | 0.497193 |
| Ridge Poison Center | 0.548312 |
| poison centers | 0.729699 |
| Syndromic Surveillance Case | 0.376627 |
| public health | 0.808695 |
| Health Collaboration CoP | 0.445589 |
| Health Collaborations Community | 0.378141 |
| Drug Center | 0.341978 |
| Health Departments | 0.341375 |
| Public Health Associate | 0.4066 |
| Health Surveillance Program | 0.436717 |
| Health ESSENCE-PIC Project | 0.373341 |
| federal public health | 0.46065 |
| Time Poison Center | 0.525665 |
| Poison Center | 0.92977 |
| Poison Center Response | 0.567554 |
| Michigan Poison Center | 0.5338 |
| Syndromic Surveillance Epidemiologist | 0.37252 |
|
CLICK HERE |
| 8703 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence of Multiple Chronic Conditions Among US Adults: Estimates From the National Health Interview Survey, 2010 - CDC |
Preventing and ameliorating chronic conditions has long been a priority in the United States; however, the increasing recognition that people often have multiple chronic conditions (MCC) has added a layer of complexity with which to contend. The objective of this study was to present the prevalence of MCC and the most common MCC dyads/triads by selected demographic characteristics. |
| common MCC combinations | 0.727186 |
| private coverage | 0.657967 |
| MCC dyad | 0.777939 |
| higher prevalence | 0.69367 |
| lower prevalence | 0.577134 |
| significant differences | 0.599981 |
| National Health Interview | 0.585029 |
| multiple chronic conditions | 0.595952 |
| non-Hispanic black women | 0.659075 |
| population subgroups | 0.578035 |
| common MCC triad | 0.673916 |
| MCC dyads | 0.759621 |
| prevalent MCC combinations | 0.671935 |
| prevalent MCC dyad | 0.693543 |
| MCC prevalences | 0.646758 |
| Hispanic adults | 0.589071 |
| common MCC dyad | 0.701321 |
| Sample Adult Core | 0.657473 |
| health insurance coverage | 0.663022 |
| non-Hispanic black adults | 0.642331 |
| Health Interview Survey | 0.585077 |
| Sample Child Core | 0.577076 |
| arthritis | 0.576102 |
| prevalent MCC | 0.720958 |
| common MCC dyads/triads | 0.709707 |
|
| non-Hispanic black men | 0.655229 |
| common MCC | 0.840451 |
| obstructive pulmonary disease | 0.579521 |
| NHIS | 0.642368 |
| United States | 0.591864 |
| age group | 0.634161 |
| adults | 0.700084 |
| common MCC dyads | 0.726115 |
| MCC research | 0.685889 |
| prevalent MCC triads | 0.680982 |
| prevalence | 0.810165 |
| prevalent MCC dyads | 0.680164 |
| HHS MCC framework | 0.672891 |
| non-Hispanic white adults | 0.618212 |
| MCC patterns | 0.65253 |
| civilian noninstitutionalized population | 0.575787 |
| adult population | 0.58268 |
| MCC | 0.974865 |
| chronic conditions | 0.829323 |
| non-hispanic white men | 0.605949 |
| Non-Hispanic Asian/Pacific Islander | 0.57653 |
| non-Hispanic white women | 0.638085 |
| coronary heart disease | 0.617862 |
| non-hispanic american indian/alaska | 0.615097 |
|
CLICK HERE |
| 8704 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: April 25, 2013 |
CDC Media Relations - MMWR News Synopsis: April 24, 2013 |
| latent TB infection | 0.762727 |
| PCV introductions | 0.883059 |
| poison control center | 0.741139 |
| offshore oil | 0.749 |
| CDC
Division | 0.745449 |
| routine immunization programs | 0.90859 |
| transportation events—specifically helicopter | 0.777761 |
| TB contact investigations | 0.764857 |
| impaired water flow | 0.741178 |
| recent NIOSH study | 0.775223 |
| Chemical Weapons Elimination | 0.735023 |
| intensive care unit | 0.735489 |
| life rafts | 0.776495 |
| Helicopter floatation gear | 0.763758 |
| personal protective equipment. | 0.736638 |
| personal protective equipment | 0.735543 |
| TB Prevention | 0.702682 |
| offshore operations | 0.70289 |
| tuberculin skin tests | 0.755339 |
| large birth cohorts | 0.905218 |
| appropriate egress training | 0.758765 |
| U.S. workers | 0.720981 |
| Deepwater Horizon explosion | 0.768057 |
| popcorn manufacturing industry | 0.758705 |
| future PCV introductions | 0.861245 |
|
| western United States | 0.742013 |
| exposure evaluation | 0.736215 |
| IGRA blood tests | 0.763179 |
| obstructive lung disease | 0.755773 |
| mustard exposure | 0.740793 |
| TB exposure | 0.74489 |
| work-related fatalities | 0.711483 |
| coffee processing facility | 0.758295 |
| concerted efforts | 0.761061 |
| local health departments | 0.747245 |
| World Health Organization | 0.762736 |
| frequent fatal event | 0.767429 |
| Electronic Media | 0.866009 |
| gas extraction industry | 0.776359 |
| interferon-y release assay | 0.744202 |
| public health programs | 0.853826 |
| aquatic pesticide applicator | 0.734807 |
| wide-spread hazard assessment | 0.752192 |
| routine serial testing | 0.746888 |
| gas operations | 0.757761 |
| heart rhythm disturbance. | 0.735102 |
| Pneumococcal conjugate vaccines | 0.751053 |
| obliterative bronchiolitis | 0.782539 |
| toxic aquatic herbicide | 0.733161 |
|
CLICK HERE |
| 10550 |
Centers for Disease Control and Prevention |
Html |
en |
CDC estimates 1 in 68 children has been identified with autism spectrum disorder Latest snapshot shows proportion of children with autism and higher IQ on the rise | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| average intellectual ability | 0.752448 |
| Mortality Weekly Report | 0.643606 |
| CDC’s National | 0.586231 |
| Birth Defects | 0.569373 |
| Act Early. | 0.566343 |
| Marshalyn Yeargin-Allsopp | 0.57435 |
| community sources | 0.573483 |
| Disease Control | 0.581333 |
| children | 0.804661 |
| Monitoring Network | 0.579266 |
| federal government | 0.565586 |
| young children | 0.596901 |
| autism spectrum disorder | 0.992955 |
| additional information | 0.569928 |
| developmental disabilities | 0.786866 |
| health professionals | 0.572715 |
| 10-year health objectives | 0.629739 |
| Coleen Boyle | 0.576141 |
| early intervention services | 0.633407 |
| Developmental Disabilities Branch | 0.647603 |
| Affordable Care Act | 0.6143 |
| childcare providers | 0.570115 |
| powerful tool | 0.562399 |
| local early intervention | 0.628065 |
| CDC’s Morbidity | 0.596957 |
|
| surveillance summary report | 0.641695 |
| universal screenings | 0.565251 |
| previous estimates | 0.580104 |
| Open enrollment | 0.565877 |
| White children | 0.602071 |
| M.S. hyg. | 0.571503 |
| Early identification | 0.570692 |
| United States | 0.658582 |
| free evaluation | 0.567716 |
| ASD | 0.73002 |
| new estimate | 0.578581 |
| Healthy People | 0.567544 |
| pre-existing condition | 0.566177 |
| developmental delays | 0.591886 |
| health coverage | 0.564324 |
| health insurance plans | 0.618432 |
| important thing | 0.567723 |
| behavioral screening | 0.624005 |
| Children Aged | 0.606527 |
| Community leaders | 0.570685 |
| severe intellectual challenges | 0.629428 |
| New Jersey | 0.578418 |
| timely manner | 0.567317 |
| multiple communities | 0.581098 |
|
CLICK HERE |
| 12400 |
Centers for Disease Control and Prevention |
Image |
null |
Low Sodium Quick Tips (570W x 363H) |
null |
|
|
CLICK HERE |
| 12662 |
Centers for Disease Control and Prevention |
Video |
en |
Health Begins at Home |
Each year, hazards in the home cause millions of illnesses and injuries across the nation. Many can be prevented by keeping your home clean and well-maintained. Recognizing problems and correcting them can protect you and your family. In HEALTH BEGINS AT HOME, several common problems and simple solutions are discussed.
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/ |
|
|
CLICK HERE |
| 14001 |
Centers for Disease Control and Prevention |
Html |
es |
PÁgina principal del virus del papiloma humano (VPH) y el cÁncer |
El virus del papiloma humano (VPH) ha sido asociado a varios tipos de cáncer: de cuello uterino, vulva, vagina, pene, ano y algunos cánceres de cabeza y cuello. Los CDC realizaron estudios para conocer más sobre estos cánceres. |
| Archivo Apple Quicktime | 0.684409 |
| Archivo RealPlayer | 0.574291 |
| Archivo Zip Comprimido | 0.679623 |
| Archivo Microsoft PowerPoint | 0.699806 |
|
| Archivo Adobe PDF | 0.680929 |
| Archivo Microsoft Excel | 0.674399 |
| Archivo Microsoft | 0.942767 |
|
CLICK HERE |
| 14309 |
Centers for Disease Control and Prevention |
Html |
en |
Data | Million Hearts |
Find progress on specific metrics to achieve the Million Hearts® goal of preventing 1 million heart attacks and strokes by 2017. |
| heart attacks | 0.653294 |
| Wright JS | 0.608488 |
| proportion | 0.44808 |
| figures | 0.441308 |
| clinical quality | 0.817783 |
| specific measures | 0.659806 |
| health centers | 0.627957 |
| EHR | 0.463363 |
| Medicaid Services | 0.619807 |
| analyses | 0.437857 |
| Progress showcase advances | 0.861309 |
| Services Administration | 0.62407 |
| number | 0.533937 |
| hypertensive patients | 0.630037 |
| Quality Measures Dashboard | 0.825057 |
| reporting period | 0.618573 |
| adult patients | 0.614994 |
| Incentive Program | 0.616752 |
| percentage | 0.444387 |
| public health surveillance | 0.7853 |
| Helwig | 0.45543 |
|
| HRSA Uniform Data | 0.873063 |
| Medicare Electronic Health | 0.820269 |
| Hearts® Snapshots | 0.668567 |
| tobacco users | 0.627656 |
| tobacco cessation intervention | 0.82286 |
| Hearts® target | 0.622351 |
| Health Resources | 0.631266 |
| Wall HK | 0.612156 |
| Million Hearts® Clinical | 0.912598 |
| strokes | 0.451826 |
| goal | 0.441975 |
| clinical quality measure | 0.811735 |
| measure NQF | 0.823347 |
| new snapshots | 0.657726 |
| MMWR. | 0.436909 |
| eligible providers | 0.834843 |
| visual snapshot | 0.723271 |
| time | 0.475672 |
| High Blood Pressure | 0.797846 |
| simple tables | 0.650934 |
|
CLICK HERE |