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Healthy Swimming Year-Round | CDC Features |
Pools, waterparks, hot tubs/spas, splash pads, and water playgrounds are great places to have fun, be active, or just relax. Having fun while you swim this summer means knowing how to stay healthy and safe while enjoying the water! |
| CDC | 0.580904 |
| emergency rooms | 0.688076 |
| water playgrounds | 0.754572 |
| lifeguards | 0.538262 |
| memory problems | 0.686537 |
| young children | 0.684719 |
| life vests | 0.686156 |
| germs | 0.92516 |
| unintentional injury death | 0.85371 |
| brain damage | 0.681279 |
| diarrhea | 0.915745 |
| water | 0.906705 |
| hot tubs/spas | 0.734642 |
| promotion materials page | 0.879781 |
| sun safety | 0.693959 |
| mouthful | 0.536569 |
| Healthy Swimming | 0.778798 |
| health benefits | 0.881604 |
| permanent vegetative state | 0.842517 |
| Shigella | 0.547396 |
| O157 | 0.536985 |
| shower | 0.575016 |
| Check diapers | 0.699337 |
| United States | 0.729818 |
| permanent loss | 0.681184 |
|
| cause | 0.542175 |
| summer | 0.61987 |
| safe swimming | 0.724168 |
| cardiopulmonary resuscitation | 0.697462 |
| diarrheal incident | 0.728605 |
| Crypto outbreaks | 0.731178 |
| popular sports activities | 0.919987 |
| waterparks | 0.55521 |
| E. coli | 0.715257 |
| kids | 0.578782 |
| diaper-changing area–not poolside–to | 0.854521 |
| swimming-related outbreaks | 0.722673 |
| Cryptosporidium | 0.545345 |
| Swimmers | 0.575124 |
| birth defects | 0.687728 |
| physical activity | 0.89362 |
| H7 | 0.555049 |
| chlorine | 0.538931 |
| simple steps | 0.694723 |
| great places | 0.734328 |
| diarrheal germs | 0.87467 |
| Giardia | 0.545327 |
| risk | 0.537588 |
| fun | 0.540811 |
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Rapidly Building Global Health Security Capacity - UgandaDemonstration Project, 2013 |
Jeff N. Borchert, MS1, Jordan W. Tappero, MD2, Robert Downing, PhD3, Trevor Shoemaker, MPH4, Prosper Behumbiize, MPH3, Jane Aceng, MBChB5, Issa Makumbi, MBChB5, Melissa Dahlke, MPH6, Bassam Jarrar, MBA2, Briana Lozano MPH3, Sam Kasozi6, Mark Austin7, Dru Phillippe7, Ian D. |
| CDC | 0.663396 |
| health security capacity | 0.66348 |
| avoidable health threats | 0.655561 |
| Uganda Ministry | 0.650613 |
| Uganda Central Public | 0.660222 |
| demonstration project | 0.706384 |
| Uganda GHS project | 0.691409 |
| national level laboratory | 0.65091 |
| demonstration project districts | 0.660565 |
| similar health systems | 0.658124 |
| emergency operations center | 0.675596 |
| public health threats | 0.814377 |
| laboratory staff members | 0.778945 |
| higher-level health centers†| 0.652493 |
| Zoonotic Infectious Diseases | 0.756627 |
| viral hemorrhagic fever | 0.669382 |
| GHS demonstration project | 0.659312 |
| public health emergency | 0.81238 |
| information systems | 0.733946 |
| disease surveillance | 0.648006 |
| health security enhancements | 0.647704 |
| public health | 0.980872 |
| priority pathogens | 0.679777 |
| National Center | 0.73315 |
|
| health emergency coordination | 0.655372 |
| international health agencies | 0.653771 |
| Field Epidemiology Network | 0.809622 |
| national reference laboratory | 0.657827 |
| Global Health Protection | 0.649937 |
| early infant diagnosis | 0.732846 |
| specimen transportation network | 0.686561 |
| World Health Organization | 0.666142 |
| public health emergencies | 0.750293 |
| Uganda District Health | 0.754036 |
| specimen referral networks | 0.672301 |
| health emergency operations | 0.723143 |
| public health function | 0.714397 |
| regional referral hospitals | 0.650981 |
| African Field Epidemiology | 0.758121 |
| public health response | 0.687879 |
| Health Laboratory staff | 0.674473 |
| national health data | 0.691467 |
| Uganda MoH | 0.660484 |
| International Health Regulations | 0.727467 |
| public health laboratory | 0.821619 |
| global health security | 0.835399 |
| public health information | 0.696607 |
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Women with Disabilities and Breast Cancer Screening | CDC Features |
October is an important month for all women including women with disabilities. October is Breast Cancer Awareness Month and having a screening mammogram regularly is an important way to maintain good health. |
| common type | 0.558054 |
| Health Insurance Marketplace | 0.636502 |
| greater access | 0.558103 |
| Health Data | 0.577437 |
| National Health Interview | 0.696772 |
| Disease Control | 0.590694 |
| cancer-related deaths | 0.559938 |
| health conditions | 0.589441 |
| accessible healthcare facilities | 0.590701 |
| existing cancer | 0.574881 |
| health promotion materials | 0.616794 |
| Health Interview Survey | 0.698368 |
| cervical cancer | 0.646812 |
| Affordable Care Act | 0.592195 |
| CDC Division | 0.566223 |
| Health Statistics | 0.572415 |
| Breast Cancer Awareness | 0.691176 |
| North Carolina Office | 0.590751 |
| clinical settings | 0.556763 |
| public health agencies | 0.623267 |
| women | 0.736771 |
| Health promotion campaigns | 0.618516 |
| recommended services | 0.55761 |
| Child Health Programs | 0.618382 |
| U.S. Preventive Services | 0.604967 |
|
| United States | 0.558003 |
| self-reported mammography | 0.55553 |
| Data File Documentation | 0.588055 |
| physical disabilities | 0.59349 |
| machine readable data | 0.587544 |
| limited health literacy | 0.622629 |
| medical clinic | 0.557002 |
| important way | 0.607067 |
| clinical preventive services | 0.706033 |
| breast cancer screening | 0.762747 |
| adequate health insurance | 0.625022 |
| Interview Survey Data | 0.60232 |
| good health | 0.629028 |
| state program partners | 0.593714 |
| breast cancer | 0.932245 |
| health | 0.699196 |
| clinical preventive services.2,3,4 | 0.624312 |
| disabilities | 0.623425 |
| healthcare services | 0.571131 |
| CDC National Breast | 0.654334 |
| screening mammogram | 0.708261 |
| Rhode Island Disability | 0.592223 |
| Cancer Prevention | 0.573819 |
| Cervical Cancer Early | 0.618306 |
|
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Meningitis |
Meningitis is a disease caused by the inflammation of the protective membranes covering the brain and spinal cord known as the meninges. The inflammation is usually caused by an infection of the fluid surrounding the brain and spinal cord. Meningitis is also referred to as spinal meningitis. |
| vaccine recommendations | 0.357793 |
| specific cause | 0.384135 |
| viral meningitis | 0.732439 |
| injuries | 0.311502 |
| warm water | 0.362246 |
| septicemia | 0.315193 |
| clinical disease information | 0.406067 |
| devastating infection | 0.363093 |
| viruses | 0.33983 |
| normal immune systems | 0.418944 |
| immediate medical attention | 0.418079 |
| parasitic meningitis | 0.564411 |
| vaccination resources | 0.359867 |
| swelling | 0.319235 |
| bloodstream infections | 0.363072 |
| different types | 0.355694 |
| meningococcal disease | 0.484089 |
| Neisseria | 0.315306 |
| cancers | 0.31182 |
| certain drugs | 0.432318 |
| fungal meningitis | 0.565981 |
| treatment | 0.312348 |
| viral infection | 0.393266 |
| vaccines | 0.329359 |
| free-living microscopic ameba | 0.415706 |
|
| kinds | 0.325718 |
| protective membranes | 0.371448 |
| head injury | 0.361795 |
| systemic lupus erythematosus | 0.419655 |
| ways | 0.311631 |
| Various parasites | 0.364262 |
| inflammation | 0.314936 |
| bacterial meningitis | 0.787077 |
| close contact | 0.358576 |
| Naegleria fowleri | 0.443266 |
| spinal cord | 0.430769 |
| higher risk | 0.36285 |
| meningitis | 0.983621 |
| brain surgery | 0.359826 |
| common examples | 0.355415 |
| brain | 0.369765 |
| Primary amebic meningoencephalitis | 0.423352 |
| people | 0.39667 |
| certain medical conditions | 0.419299 |
| Certain germs | 0.375823 |
| environment | 0.311825 |
| common causes | 0.354626 |
| cancer | 0.325965 |
| fungal spores | 0.366997 |
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Dietary Behaviors Associated With Fruit and Vegetable Consumption, Marion County, Indiana, 2005 |
null |
| adequate placement | 0.398065 |
| demographic characteristics | 0.47296 |
| data | 0.493252 |
| adequate versus fruit | 0.46246 |
| vegetable adequacy | 0.399177 |
| vegetable consumption | 0.946323 |
| basal metabolic rate | 0.497286 |
| adequate exercise data | 0.431822 |
| adequate consumption | 0.54918 |
| food label | 0.403062 |
| adequate fruit | 0.447176 |
| fruit adequate | 0.431401 |
| inadequate consumption | 0.436971 |
| moderate daily activity | 0.494316 |
| frequent healthful snacking | 0.393551 |
| HEI-2005 maximum score | 0.75658 |
| adequate only groups | 0.395281 |
| adequate fruits | 0.419291 |
| demographic variables | 0.439228 |
| smoking status | 0.398994 |
| healthful snacking | 0.445593 |
| vegetable adequate | 0.426761 |
| adequate amounts | 0.440316 |
| adequate only consumers | 0.394513 |
| total caloric consumption | 0.434448 |
|
| consumption data | 0.429019 |
| referent group | 0.401344 |
| adequate category | 0.397195 |
| dietary behaviors | 0.472302 |
| fruit | 0.713942 |
| red meat consumption | 0.539889 |
| Healthy Eating Index | 0.396921 |
| Marion County | 0.440925 |
| vegetables | 0.672898 |
| red meat | 0.549324 |
| Bowen Research Center | 0.432318 |
| fresh fruit | 0.405152 |
| fruits | 0.526913 |
| Healthy Eating Index-2005 | 0.44415 |
| adequate consumption grouping | 0.465759 |
| random-digit–dialed telephone survey | 0.399332 |
| food consumption data | 0.423432 |
| inadequate group | 0.474992 |
| food | 0.468298 |
| adequate groups | 0.3967 |
| adequate group | 0.530425 |
| inadequate consumption group | 0.418918 |
| median value | 0.406726 |
| self-reported height | 0.428574 |
|
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2012-13 Latest Flu Season in Nearly Three Decades in U.S. |
CDC Says U.S. Seeing Latest Flu Season in Nearly Three Decades. |
| percent mark | 0.472114 |
| respiratory samples | 0.52978 |
| CDC guidance | 0.437232 |
| late start | 0.407611 |
| domestic surveillance | 0.405194 |
| flu activity | 0.655854 |
| widespread geographic influenza | 0.651485 |
| number | 0.340083 |
| influenza antiviral medications | 0.619852 |
| Lyn Finelli | 0.414918 |
| percentage | 0.322506 |
| respiratory specimens | 0.658588 |
| influenza activity | 0.711571 |
| greatest risk | 0.395283 |
| influenza virus infections | 0.618394 |
| baseline | 0.350545 |
| CDC tracks influenza | 0.711147 |
| ILI activity | 0.421769 |
| pediatric death | 0.407149 |
| H1N1 viruses | 0.495086 |
| marker | 0.345416 |
| influenza activity indicators | 0.674054 |
| influenza | 0.93269 |
| CDC influenza surveillance | 0.745932 |
|
| flu activity indicators | 0.655187 |
| United States | 0.51568 |
| key flu indicators | 0.809389 |
| ongoing flu season | 0.633394 |
| unsubtyped influenza | 0.560941 |
| percent | 0.55396 |
| FluView | 0.344804 |
| annual flu vaccine | 0.635419 |
| northwest regions | 0.4053 |
| increases | 0.340968 |
| CDC’s Influenza | 0.603009 |
| immune response | 0.406626 |
| early antiviral treatment | 0.480637 |
| United States result | 0.475431 |
| influenza season | 0.55212 |
| certain key flu | 0.612295 |
| flu seasons | 0.536381 |
| universal vaccination | 0.399035 |
| flu | 0.838594 |
| surveillance categories | 0.410327 |
| flu season | 0.763136 |
| Mexico | 0.335601 |
| time | 0.369021 |
| hospitalizations | 0.324283 |
|
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The State of Aging and Health in America - Aging |
null |
| interactive data website | 0.890891 |
| Action | 0.343854 |
| report series | 0.625163 |
| CDC | 0.382772 |
| injuries | 0.355824 |
| Spotlights | 0.384985 |
| professionals | 0.349267 |
| local levels | 0.617236 |
| features | 0.343599 |
| America | 0.350733 |
| Aging | 0.435233 |
| health care providers | 0.818165 |
| highlight model intervention | 0.881404 |
|
| Program | 0.349976 |
| Calls | 0.358528 |
| state success stories | 0.818186 |
| physical activity | 0.582269 |
| joint effort | 0.645046 |
| older adults | 0.632761 |
| older adult health | 0.940539 |
| thoughtful recommendations | 0.633673 |
| healthier lives | 0.620197 |
| Merck Company Foundation | 0.940741 |
| key indicators | 0.641716 |
| current data | 0.615743 |
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Real Stories of the Dangers of Raw Milk - Food Safety |
Information about the risks of consuming raw milk. |
| healthier way | 0.622727 |
| email address | 0.640764 |
| husband | 0.512195 |
| video | 0.520396 |
| lactose | 0.451601 |
| recent work | 0.642074 |
| small town | 0.636989 |
| Missouri | 0.44307 |
| Mary McGonigle-Martin | 0.602615 |
| trouble | 0.442675 |
| raw milk | 0.936029 |
| son drank | 0.61683 |
| goat’s milk | 0.734698 |
|
| monthly update | 0.645267 |
| homework | 0.448936 |
| kind | 0.441415 |
| local farmer | 0.627658 |
| family live | 0.62604 |
| California | 0.438674 |
| 7-year-old son | 0.62667 |
| single mom | 0.618624 |
| cow’s milk | 0.736988 |
| Julie Riggs | 0.669023 |
| infectious disease | 0.646787 |
| Kalee Prue | 0.608932 |
| daughter | 0.508012 |
|
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Human Papillomavirus (HPV) Vaccine and Public Comments |
Introduction, 9-valent HPV vaccine program key results. Increment cost-effectiveness of the 9-valent vs 4-valent HPV vaccine, GRADE for 9-valent HPV vaccine, overview of issues and considerations
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://ftp.cdc.gov/pub/vaccines/acip/Oct2014/HPV-Adjourn.mp4 |
| Public Comments | 0.677249 |
| Vaccine | 0.625237 |
|
| Human Papillomavirus | 0.967338 |
| YouTube | 0.624677 |
|
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Vital Signs: Epidemiology of Sepsis: Prevalence of HealthCare Factors and Opportunities for Prevention | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| comprehensive sepsis prevention | 0.602862 |
| sepsis epidemiology | 0.568719 |
| severe sepsis | 0.625593 |
| health care factor | 0.481257 |
| York State Department | 0.468789 |
| early recognition | 0.44652 |
| health care factors | 0.701393 |
| community-associated sepsis cases | 0.568114 |
| sepsis admission | 0.604573 |
| sepsis hospitalizations | 0.529098 |
| early sepsis | 0.530865 |
| sepsis mortality | 0.523524 |
| sepsis onset | 0.580472 |
| infections | 0.497818 |
| congestive heart failure | 0.440114 |
| Recent sepsis initiatives | 0.546593 |
| health care providers | 0.41344 |
| health care expenditures | 0.390528 |
| patients | 0.620905 |
| New York State | 0.439053 |
| health care environments | 0.391502 |
| acute care hospital | 0.407578 |
| sepsis hospitalization | 0.601918 |
| sepsis care | 0.552024 |
| sepsis | 0.918513 |
|
| sepsis surveillance methods | 0.547311 |
| septic shock | 0.432151 |
| sepsis cases | 0.644425 |
| Emerging Infections Program | 0.403892 |
| sepsis diagnosis | 0.521172 |
| pediatric patients | 0.468071 |
| sepsis documentation | 0.574725 |
| Sepsis prevention activities | 0.556893 |
| health care | 0.809161 |
| sepsis risk | 0.534262 |
| New York | 0.472333 |
| sepsis prevention strategies | 0.629553 |
| specific sepsis prevention | 0.597922 |
| sepsis surveillance | 0.562111 |
| sepsis experience | 0.538862 |
| sepsis education | 0.537006 |
| nursing home | 0.433465 |
| sepsis awareness | 0.533197 |
| sepsis initiatives | 0.599097 |
| medical record | 0.422454 |
| line-associated bloodstream infections | 0.402323 |
| sepsis process measures | 0.546834 |
| frequent medical care | 0.402259 |
| sepsis prevention | 0.646473 |
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