| 760 |
Centers for Disease Control and Prevention |
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Prevent the Spread of Norovirus | CDC Features |
Norovirus causes many people to become ill with vomiting and diarrhea each year. You can help protect yourself and others by washing your hands often and following simple tips to stay healthy. |
| stool | 0.583073 |
| hands | 0.648016 |
| catered-meal settings | 0.656207 |
| alcohol-based hand sanitizer | 0.820777 |
| norovirus infection | 0.724159 |
| Practice proper hand | 0.81248 |
| items carefully—try | 0.66025 |
| simple tips | 0.701719 |
| direct contact | 0.680092 |
| young children | 0.664898 |
| drinking liquids | 0.673418 |
| wear rubber | 0.663786 |
| health conditions | 0.664638 |
| germs | 0.578645 |
| influenza). | 0.659585 |
| sick people | 0.69643 |
| major cause | 0.655624 |
| diarrhea | 0.630192 |
| water | 0.616615 |
| cook oysters | 0.667542 |
| foodborne illness | 0.713609 |
| product label | 0.663105 |
| norovirus treatment | 0.717155 |
| person | 0.631725 |
| influenza virus | 0.658115 |
|
| nursing homes | 0.661869 |
| soap | 0.58596 |
| household bleach | 0.662014 |
| daycare centers | 0.661785 |
| cleaning product | 0.662568 |
| respiratory illness | 0.719762 |
| vomit | 0.583556 |
| surfaces | 0.595773 |
| norovirus illness | 0.998119 |
| infected people | 0.72605 |
| stomach flu. | 0.666123 |
| food poisoning | 0.668235 |
| Food Workers | 0.679788 |
| cruise ships | 0.64909 |
| bleach-based household | 0.66105 |
| related viruses | 0.690899 |
| disposable gloves | 0.657087 |
| people | 0.883514 |
| maximum available cycle | 0.792079 |
| food | 0.756822 |
| simple steps | 0.674996 |
| short video | 0.686565 |
| severe dehydration | 0.67309 |
| Wash laundry | 0.700284 |
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| 4809 |
Centers for Disease Control and Prevention |
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Cardiovascular risk according to plasma apolipoprotein and lipid profiles in a Canadian First Nation |
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| HDL profile | 0.274538 |
| particle size | 0.403982 |
| positive linear trend | 0.275584 |
| plasma HDL levels | 0.371804 |
| plasma triglyceride levels | 0.288068 |
| cardiovascular risk factors | 0.658305 |
| plasma HDL cholesterol | 0.411472 |
| higher cardiovascular risk | 0.31347 |
| total cholesterol | 0.275906 |
| apoB | 0.321276 |
| traditional cardiovascular risk | 0.316371 |
| diastolic blood pressure | 0.412903 |
| lipoprotein particle size | 0.37861 |
| lower apoA1 levels | 0.300604 |
| small HDL particles | 0.428969 |
| dense HDL particles | 0.383378 |
| cardiovascular disease risk | 0.36236 |
| large HDL particles | 0.52862 |
| study community | 0.298184 |
| HDL cholesterol levels | 0.910827 |
| HDL particle size | 0.322962 |
| lower HDL cholesterol | 0.393424 |
| aboriginal people | 0.362012 |
| LDL cholesterol levels | 0.486617 |
| low hdl cholesterol | 0.53094 |
|
| plasma LDL cholesterol | 0.31468 |
| women | 0.345865 |
| study | 0.307774 |
| higher HDL cholesterol | 0.405999 |
| beneficial large HDL | 0.316579 |
| Canadian Aboriginal people | 0.296102 |
| high-density lipoprotein levels | 0.304578 |
| high diabetes rates | 0.304193 |
| significantly higher apoA1 | 0.275712 |
| apoA1 ratio | 0.382722 |
| high triglyceride levels | 0.294151 |
| cardiovascular risk | 0.885696 |
| insulin resistance | 0.605458 |
| Nation community | 0.345707 |
| cardiovascular disease | 0.610123 |
| high cardiovascular risk | 0.311086 |
| plasma lipid levels | 0.351437 |
| cardiovascular risk factor | 0.310521 |
| HDL cholesterol concentrations | 0.389016 |
| lipoprotein cholesterol measurements | 0.31502 |
| Manitoba Health Research | 0.283045 |
| coronary heart disease | 0.28387 |
| triglyceride levels | 0.344847 |
| diabetes | 0.439368 |
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| 5251 |
Centers for Disease Control and Prevention |
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Increasing the Availability and Consumption of Drinking Water in Middle Schools: A Pilot Study |
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| reusable water bottles | 0.915134 |
| free drinking water | 0.428223 |
| intervention school students | 0.503612 |
| comparison school students | 0.409765 |
| 5-week intervention period | 0.407701 |
| school drinking water | 0.563121 |
| student consumption | 0.428796 |
| school | 0.721945 |
| 5-week intervention | 0.417621 |
| drinking tap water | 0.445042 |
| European intervention studies | 0.437891 |
| increase water drinking | 0.422951 |
| promotional activities | 0.427949 |
| fruit juice | 0.430145 |
| reusable water bottle | 0.504574 |
| student water consumption | 0.53899 |
| drinking water quality | 0.434499 |
| school promotional activities | 0.423127 |
| palatable drinking water | 0.44086 |
| preintervention student consumption | 0.406779 |
| cafeteria water dispensers | 0.448391 |
| school water | 0.433252 |
| water consumption | 0.609192 |
| school district | 0.405865 |
| school drinking fountains | 0.523259 |
|
| school cafeteria | 0.410431 |
| cafeteria staff | 0.434984 |
| students water | 0.405726 |
| intervention school | 0.6919 |
| tap water | 0.452209 |
| intervention school personnel | 0.449312 |
| drinking water provision | 0.580702 |
| bottled water | 0.43635 |
| students | 0.597891 |
| school water intake | 0.431762 |
| drinking water consumption | 0.50624 |
| associated school drinking | 0.416531 |
| school lunch program | 0.42694 |
| cafeteria water consumption | 0.454431 |
| school cafeterias | 0.416494 |
| intervention activities | 0.409382 |
| intervention students | 0.407109 |
| drinking water | 0.935088 |
| drinking water outlets | 0.420352 |
| middle school students | 0.433246 |
| sports drinks | 0.408585 |
| national school lunch | 0.426751 |
| comparison school | 0.526296 |
| 5-week pilot intervention | 0.412049 |
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| 7571 |
Centers for Disease Control and Prevention |
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U.S-Acquired Human Rabies with Symptom Onset and Diagnosis Abroad, 2012 |
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. |
| healthy California resident | 0.572645 |
| previously healthy California | 0.569467 |
| risk assessment | 0.546384 |
| public health practitioners | 0.559036 |
| Global Disease Detection | 0.555836 |
| State Health Svcs | 0.524673 |
| Uster Hospital | 0.539726 |
| contact | 0.595957 |
| MD | 0.519081 |
| fresh open wounds | 0.643998 |
| Ryan M. Wallace | 0.534742 |
| Zoonotic Infectious Diseases | 0.566685 |
| health-care workers | 0.558766 |
| National International Health | 0.529192 |
| rabies diagnosis | 0.598083 |
| Global Health | 0.520277 |
| infectious materials | 0.538324 |
| public health officials | 0.668646 |
| CDC rabies program | 0.657648 |
| international flights | 0.561006 |
| Swiss Rabies Center | 0.721632 |
| international public health | 0.543417 |
| Definitive bat contact | 0.543317 |
| right arm | 0.527435 |
| rabies PEP | 0.653191 |
|
| rabies virus | 0.907636 |
| Person-to-person rabies virus | 0.627237 |
| United States | 0.723917 |
| Costa Health Svcs | 0.523282 |
| infectious saliva | 0.557522 |
| local health department | 0.523632 |
| mucous membranes | 0.589045 |
| potential physical contact | 0.52727 |
| Bat rabies | 0.607197 |
| patient | 0.659849 |
| rabies virus exposure | 0.640047 |
| medical clinic | 0.578993 |
| potential exposure | 0.536814 |
| person-to-person rabies transmission | 0.616723 |
| local health departments | 0.545242 |
| public health | 0.949041 |
| U.S. resident | 0.625482 |
| human rabies cases | 0.623393 |
| public health investigation | 0.599689 |
| Swiss Federal Office | 0.548688 |
| United Arab Emirates | 0.645998 |
| laboratory-confirmed rabies | 0.59491 |
| Dubai hospital contacts | 0.517678 |
| local public health | 0.611471 |
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| 8187 |
Centers for Disease Control and Prevention |
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Facts about Anencephaly - Birth Defects |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| pregnancies | 0.367174 |
| Developmental Disabilities | 0.385482 |
| micrograms | 0.334711 |
| United States | 0.560531 |
| early pregnancy | 0.476085 |
| spina bifida | 0.395084 |
| neural tube | 0.987735 |
| abnormal result | 0.384975 |
| neural tube defects | 0.69926 |
| babies | 0.359738 |
| National Birth Defects | 0.523299 |
| Birth Defects Research | 0.526431 |
| mother | 0.328257 |
| neural tube defect | 0.557429 |
| neural tube forms | 0.531257 |
| higher dose | 0.39119 |
| Disease Control | 0.3881 |
| causes | 0.371151 |
| birth defect | 0.565936 |
| CDC funds | 0.400188 |
| certain medicines | 0.392775 |
| spinal cord | 0.396325 |
| confirmatory tests | 0.384319 |
| skull | 0.366218 |
|
| folic acid | 0.935091 |
| large studies | 0.390269 |
| visit CDC | 0.393108 |
| National Center | 0.385473 |
| copyright restrictions | 0.385627 |
| genes | 0.332645 |
| reproductive age | 0.389933 |
| private usage | 0.384716 |
| web page | 0.386675 |
| birth defects diagnosis | 0.517206 |
| brain | 0.411231 |
| birth defects | 0.866113 |
| healthy baby | 0.388795 |
| baby’s brain | 0.405377 |
| factors | 0.331538 |
| doctor | 0.3338 |
| public domain | 0.386209 |
| baby | 0.434901 |
| prenatal tests | 0.384355 |
| parts | 0.35609 |
| standard treatment | 0.38803 |
| dietary habits | 0.388846 |
| conditions | 0.334302 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Beliefs and Communication Practices Regarding Cognitive Functioning Among Consumers and Primary Care Providers in the United States, 2009 - CDC |
Limited research has examined primary care providers’ communication with patients about maintaining cognitive functioning. Our study’s objective was to compare the perceptions of consumers and primary care providers related to beliefs and communication practices about lifestyle behaviors beneficial for overall health and for maintaining cognitive functioning. |
| North Carolina | 0.505436 |
| general public | 0.463082 |
| medical education | 0.504064 |
| American Medical Association | 0.472369 |
| data | 0.465487 |
| relevant financial relationships | 0.512066 |
| AMA PRA | 0.488082 |
| primary care providers | 0.912431 |
| Disease Control | 0.500072 |
| improved cognitive functioning | 0.491397 |
| health care providers | 0.499553 |
| healthy lifestyle | 0.469507 |
| overall health | 0.470665 |
| DocStyles survey | 0.509123 |
| patients | 0.508281 |
| cognitive functioning information | 0.499747 |
| cognitive functioning | 0.75456 |
| cognitive impairment messages | 0.496181 |
| primary care physicians | 0.65352 |
| intellectual stimulation | 0.568778 |
| Porter Novelli | 0.565218 |
| survey | 0.514455 |
| dementia | 0.469979 |
| formula-adjusted response rate | 0.466092 |
|
| cognitive functioning questions | 0.494837 |
| AMA PRA Category | 0.476795 |
| Lucinda L. Bryant | 0.515112 |
| Cognitive health messages | 0.481307 |
| healthful diet | 0.520988 |
| Alzheimer’s disease | 0.514139 |
| South Carolina | 0.489195 |
| nurse practitioners | 0.577518 |
| cognitive impairment risk | 0.509648 |
| Aging Research Network | 0.475261 |
| dietary supplements | 0.470349 |
| consumers | 0.650262 |
| public health | 0.512425 |
| communication practices | 0.465755 |
| health | 0.589384 |
| healthy weight | 0.46359 |
| Prevention Research Centers | 0.46503 |
| Research Centers program | 0.465142 |
| Chapel Hill | 0.477959 |
| physical activity | 0.560423 |
| early diagnosis | 0.532162 |
| Angela J. Deokar | 0.515452 |
| cognitive impairment | 0.988039 |
| information | 0.521179 |
|
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Centers for Disease Control and Prevention |
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Creative Brief'VX - Nerve Agent' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10965 |
Centers for Disease Control and Prevention |
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Using AMD methods to track polio |
To explore the inner-workings of the polio virus and track its spread, CDC is using advanced molecular detection (AMD) methods. |
| substantial support | 0.493181 |
| Horn | 0.368034 |
| Cameroon | 0.336838 |
| CDC | 0.966385 |
| poliovirus changes | 0.469927 |
| funded work | 0.504856 |
| health officials | 0.630412 |
| resolution | 0.333112 |
| Syria | 0.372135 |
| far-reaching effort | 0.520048 |
| Melinda Gates Foundation | 0.653335 |
| polio worldwide | 0.595779 |
| wider window | 0.477331 |
| Global Polio Eradication | 0.779882 |
| Rotary International | 0.493858 |
| infectious disease outbreaks | 0.681068 |
| national governments | 0.490299 |
| Africa | 0.364388 |
| wily virus | 0.638122 |
| UNICEF | 0.339367 |
| Previous methods | 0.472488 |
| virus changes | 0.596019 |
| Action | 0.335368 |
| Advanced Molecular Detection | 0.61028 |
| wild virus | 0.612185 |
|
| bioinformatics capabilities | 0.50715 |
| virus | 0.801926 |
| worldwide eradication | 0.506545 |
| times | 0.332502 |
| technological innovations | 0.477078 |
| inner-workings | 0.346257 |
| laboratory technicians | 0.477419 |
| genetic sequencing methods | 0.708963 |
| laboratory methods | 0.484147 |
| infectious disease outbreak | 0.71825 |
| CDC scientists | 0.805801 |
| broader range | 0.478064 |
| identifiable molecular clock | 0.626653 |
| public health workers | 0.621558 |
| GPEI | 0.332811 |
| sequence larger segments | 0.614686 |
| AMD funding | 0.560973 |
| World Health Assembly | 0.96697 |
| polio virus | 0.69495 |
| significant leap | 0.508051 |
| clear understanding | 0.474011 |
| AMD program | 0.571771 |
| responses | 0.332478 |
| upper hand | 0.480536 |
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Centers for Disease Control and Prevention |
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Gynecologic Cancer Awareness Feature |
Learn about the five main kinds of gynecologic cancer: cervical, ovarian, uterine, vaginal, and vulvar. When gynecologic cancers are found and treated early, treatment works best. |
| 12-year-old girls | 0.41536 |
| sexually transmitted infection | 0.506216 |
| vulvar cancer | 0.454852 |
| gynecologic cancer | 0.787341 |
| HPV types | 0.459032 |
| Knowledge | 0.344525 |
| gynecologic cancers | 0.962089 |
| vaginal bleeding | 0.444612 |
| talk | 0.341547 |
| Pap test | 0.814244 |
| Gynecologic Cancer campaign | 0.635017 |
| ovarian cancer | 0.551332 |
| HPV test | 0.453488 |
| Pap test screens | 0.548104 |
| general U.S. population | 0.491109 |
| cervical cancer | 0.770923 |
| PSAs | 0.328967 |
| public service announcements | 0.514634 |
| BRCA gene mutation | 0.490564 |
| human papillomavirus | 0.420143 |
| BRCA genes | 0.479808 |
| women | 0.509547 |
| woman | 0.323025 |
| print materials | 0.418003 |
| United States | 0.419924 |
|
| HPV vaccine | 0.465478 |
| survivor stories | 0.415775 |
| HPV | 0.479775 |
| genetic counseling | 0.40505 |
| risk increases | 0.429198 |
| screen women | 0.409739 |
| ovarian cancer risk | 0.543195 |
| treatment works | 0.407454 |
| main types | 0.527991 |
| cervix | 0.323855 |
| unexplained signs | 0.417191 |
| person’s risk | 0.398816 |
| young men | 0.411347 |
| HPV tests | 0.448296 |
| unclear Pap test | 0.54395 |
| Facts | 0.321401 |
| doctor | 0.367926 |
| HPV infection | 0.450086 |
| screening test | 0.408257 |
| family history | 0.406101 |
| vulvar cancers | 0.603768 |
| cell changes | 0.405384 |
| breast | 0.333332 |
| reproductive organs | 0.423452 |
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| 14326 |
Centers for Disease Control and Prevention |
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Where to go in a Radiation Emergency| Infographic |
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