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Centers for Disease Control and Prevention |
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Do you know your family health history? | CDC Features |
Knowing your family health history can be important for your health and your child’s health. Take time to collect this information and share it with your doctor and your child’s doctor. |
| doctor | 0.475706 |
| quiz | 0.444863 |
| family health history | 0.995219 |
| National Family Health | 0.694879 |
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| information | 0.444825 |
| time | 0.445141 |
| Thanksgiving | 0.475534 |
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Centers for Disease Control and Prevention |
Html |
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2-Chloro-6-trichloromethyl pyridine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6874 |
Centers for Disease Control and Prevention |
Html |
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New CDC Test to Detect Human Infections with the 2009 H1N1 Influenza Virus Authorized for Use by FDA |
New CDC Test to Detect Human Infections with the 2009 H1N1 Influenza Virus Authorized for Use by FDA. |
| H1N1 influenza virus | 0.968507 |
| test panel | 0.310837 |
| FDA | 0.239523 |
| United States | 0.4562 |
| U.S. Centers | 0.290572 |
| Radiological Health | 0.26655 |
| close collaboration | 0.255954 |
| Drug Administration | 0.291295 |
| influenza A viruses | 0.479598 |
| real-time rt-pcr | 0.428881 |
| molecular biology technique | 0.419377 |
| severely ill patients | 0.385892 |
| CDC-qualified laboratories | 0.251183 |
| H1N1 virus | 0.613336 |
| fluorescent signal | 0.247356 |
| PCR diagnostic test | 0.442317 |
| CDC Influenza | 0.524279 |
| Disease Control | 0.292855 |
| public health surveillance | 0.438482 |
| Swine Flu Panel | 0.47701 |
| H1N1 specimens | 0.333661 |
| U.S. Food | 0.289031 |
| lower respiratory specimens | 0.446562 |
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| Jeffrey Shuren | 0.275188 |
| diagnostic instrument | 0.258599 |
| RT-PCR Panel | 0.344084 |
| hospital setting | 0.254828 |
| Applied Biosystems | 0.256669 |
| Dr. Nancy Cox | 0.437873 |
| RT-PCR diagnostic test | 0.512298 |
| upper respiratory specimens | 0.645894 |
| influenza subtype testing | 0.639396 |
| RT-PCR Detection Panel | 0.479402 |
| Swine Influenza Virus | 0.690458 |
| earlier test | 0.300955 |
| human infections | 0.450477 |
| new test | 0.42076 |
| Influenza Division | 0.507635 |
| Realtime PCR Instrument | 0.379593 |
| influenza viruses | 0.512553 |
| H1N1 pandemic | 0.48263 |
| respiratory tract | 0.29092 |
| viral genetic material | 0.600652 |
| influenza testing results | 0.624531 |
| H1N1 genetic information | 0.433941 |
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Centers for Disease Control and Prevention |
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Global Health - Senegal |
CDC programs in global health in Senegal. |
| Leadership | 0.268022 |
| CDC | 0.890799 |
| data management | 0.5381 |
| endorsement | 0.296129 |
| absence | 0.284427 |
| U.S. President | 0.567089 |
| assistance | 0.268544 |
| national reference lab | 0.824911 |
| Content source | 0.536247 |
| number | 0.261143 |
| HHS | 0.303153 |
| government | 0.262236 |
| HIV strategic information | 0.904958 |
| Notice | 0.269366 |
| children | 0.261062 |
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| HIV surveillance activities | 0.841923 |
| analytic support | 0.541248 |
| Epidemic | 0.297239 |
| HIV/AIDS | 0.280316 |
| insecticide- treated nets | 0.92804 |
| polio cases | 0.596575 |
| PDF Version | 0.572859 |
| launch | 0.267893 |
| households | 0.291554 |
| CDC support | 0.757659 |
| expansion | 0.264724 |
| Global polio eradication | 0.90359 |
| non-federal site | 0.580283 |
| Senegal | 0.579907 |
| Malaria Initiative | 0.713756 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0023 |
The objective of this study was to determine whether data from 3 sources would yield a single, homogenous, healthful food store category that can be used to accurately characterize community nutrition environments for public health research. |
| food stores | 0.722603 |
| chain grocery stores | 0.310876 |
| nutritious food items | 0.439568 |
| food store category | 0.237297 |
| food store location | 0.203831 |
| convenience stores | 0.533667 |
| study area | 0.220411 |
| commercial database | 0.29229 |
| annual sales volume | 0.296304 |
| large grocery stores | 0.43173 |
| stores vs | 0.255683 |
| independent food stores | 0.393878 |
| independent stores | 0.260506 |
| nutritious food score | 0.34039 |
| small food stores | 0.652473 |
| larger grocery stores | 0.288108 |
| percentage | 0.234203 |
| nutritious food | 0.730225 |
| public health | 0.243014 |
| fresh food availability | 0.230434 |
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| commercial databases | 0.206486 |
| community nutrition environments | 0.423255 |
| selected stores | 0.262567 |
| store type | 0.426291 |
| stores | 0.926999 |
| specialty stores | 0.524364 |
| grocery stores | 0.716127 |
| nutritious food availability | 0.273223 |
| healthful food store | 0.241425 |
| specialty food stores | 0.296035 |
| nutritious foods | 0.29211 |
| San Francisco | 0.252365 |
| small grocery stores | 0.637694 |
| nonchain food stores | 0.419807 |
| in-store surveys | 0.277018 |
| nutritious food options | 0.28533 |
| fresh food | 0.267824 |
| liquor stores | 0.248972 |
| fresh food items | 0.237579 |
| healthful food stores | 0.320146 |
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Centers for Disease Control and Prevention |
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Alcohol Use and Pregnancy - Health Communication |
Alcohol and Pregnancy - Gateway to Health Communication |
| drinking problem | 0.556729 |
| subtle changes | 0.512867 |
| alcohol-related condition | 0.500903 |
| early pregnancy | 0.50758 |
| particularly vulnerable time | 0.577916 |
| United States report | 0.580693 |
| effective contraception | 0.498688 |
| small head | 0.493791 |
| mental retardation | 0.520919 |
| pregnant women | 0.663606 |
| children | 0.469118 |
| binge drinks | 0.512722 |
| alcohol | 0.946736 |
| developmental disabilities | 0.510745 |
| tip sheet | 0.502102 |
| organ development | 0.495931 |
| prenatal alcohol exposure | 0.836611 |
| pregnancy | 0.623447 |
| high-risk levels | 0.498135 |
| growth retardation | 0.620617 |
| severe effects | 0.503299 |
| alcohol-exposed pregnancy | 0.582498 |
| highest risk | 0.496405 |
| special care | 0.493197 |
| Women consuming alcohol | 0.702932 |
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| unprotected sex | 0.499393 |
| United States | 0.710879 |
| drinks | 0.519224 |
| prevention efforts | 0.493429 |
| good news | 0.498052 |
| drinking alcohol | 0.676735 |
| organ systems | 0.605454 |
| fetal development | 0.515114 |
| risk drinking. | 0.504987 |
| affected child | 0.484818 |
| risk drinking | 0.582674 |
| baby boy | 0.491445 |
| Fetal Alcohol Syndrome | 0.826652 |
| facial abnormalities | 0.49341 |
| continued alcohol exposure | 0.692012 |
| Maternal prenatal alcohol | 0.734633 |
| preventable causes | 0.519335 |
| wide array | 0.509955 |
| birth defects | 0.61861 |
| physical signs | 0.493959 |
| major organ systems | 0.59783 |
| FAS | 0.498499 |
| low birth weight | 0.567545 |
| Healthcare providers | 0.492315 |
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Centers for Disease Control and Prevention |
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Opioid Painkiller Prescribing | Vital Signs |
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. |
| mental health | 0.476174 |
| state-run health plans | 0.54265 |
| prescription painkiller | 0.831521 |
| opioid painkiller prescriptions | 0.678447 |
| prescription drugs | 0.653894 |
| pain treatment | 0.688025 |
| overdose deaths | 0.498888 |
| health care providers | 0.989625 |
| prescription painkillers* | 0.597072 |
| patient safety | 0.471724 |
| American adult | 0.483239 |
| compensation programs | 0.474156 |
| different parts | 0.473642 |
| patients | 0.505798 |
| prescribe large quantities | 0.541866 |
| Affordable Care Act | 0.529142 |
| pill mills | 0.472235 |
| prescription drug monitoring | 0.870615 |
| policy options | 0.535243 |
| particular promise | 0.474984 |
| person | 0.477787 |
| substance abuse treatment | 0.637436 |
| care providers practice | 0.552172 |
| state level | 0.473129 |
| specific type | 0.473988 |
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| Vital Signs | 0.583562 |
| inappropriate prescribing | 0.47018 |
| highest-prescribing state | 0.480869 |
| Drug Administration | 0.469526 |
| substance abuse problems | 0.627645 |
| Health issues | 0.488609 |
| West Virginia | 0.474704 |
| effective pain treatment | 0.662247 |
| state-run databases | 0.557705 |
| multiple prescribers | 0.505823 |
| substance abuse | 0.658429 |
| prescription painkiller overdose | 0.72059 |
| Prescription Painkiller Overdoses | 0.742599 |
| high-dose painkillers | 0.589085 |
| pain treatment options | 0.538618 |
| responder access | 0.469607 |
| people | 0.477059 |
| Southern states | 0.473248 |
| prescription painkillers | 0.875826 |
| drug monitoring programs | 0.774749 |
| New Hampshire | 0.474434 |
| Drugs Information | 0.470657 |
| lowest prescribing state | 0.549529 |
| high-volume pain clinics | 0.545217 |
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| 11351 |
Centers for Disease Control and Prevention |
Html |
en |
Recommendations for Chemical Protective Clothing: Database - Disclaimer |
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| potentially appropriate types | 0.440275 |
| typical laboratory testing | 0.443583 |
| medical surveillance programs | 0.435922 |
| similar glove materials | 0.492645 |
| chemical barrier | 0.442107 |
| appropriate CPC materials | 0.558831 |
| specific potential hazards | 0.48592 |
| skin exposure hazards | 0.470394 |
| kinetic testing data | 0.445427 |
| Occupational Safety | 0.44346 |
| CPC membranes | 0.478997 |
| laboratory testing data | 0.453041 |
| vapor pressures | 0.442781 |
| appropriate glove | 0.441069 |
| hazard assessment | 0.526872 |
| Personal Protective Equipment | 0.464568 |
| skin exposures | 0.45973 |
| laboratory testing conditions | 0.529498 |
| potential hand hazards | 0.461049 |
| chemical protective clothing | 0.947417 |
| available glove materials | 0.519133 |
| glove material type | 0.498982 |
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| chemicals | 0.449025 |
| CPC breakthrough | 0.485594 |
| Pocket Guide | 0.648954 |
| specific barrier membrane | 0.469222 |
| skin barrier | 0.430225 |
| Protective Clothing database | 0.831082 |
| CPC polymer membrane | 0.533371 |
| Prevent skin contact | 0.471047 |
| broadly applicable phrase | 0.431515 |
| Additional testing results | 0.447439 |
| specific barrier material | 0.481298 |
| CPC materials | 0.584286 |
| NIOSH Pocket Guide | 0.465225 |
| similar chemical properties | 0.456611 |
| organic substances | 0.573561 |
| CPC | 0.697406 |
| specific glove material | 0.618714 |
| skin contact | 0.579937 |
| barrier materials | 0.482633 |
| chemical hazards | 0.516693 |
| laboratory testing | 0.534294 |
| chemical protective barrier | 0.500121 |
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Centers for Disease Control and Prevention |
Html |
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Norovirus | Symptoms |
Symptoms of norovirus include diarrhea, throwing up, nausea, stomach pain as well as fever, headache and body aches |
| alcohol | 0.457279 |
| minerals | 0.457361 |
| Sports drinks | 0.742887 |
| common symptoms— | 0.65129 |
| tears | 0.461506 |
| illnesses | 0.451931 |
| stomach | 0.469631 |
| plenty | 0.467322 |
| liquids | 0.468735 |
| counter | 0.457961 |
| people | 0.484985 |
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| diarrhea many times | 0.679606 |
| doctor | 0.453331 |
| caffeine | 0.475306 |
| mild dehydration | 0.984615 |
| Oral rehydration fluids | 0.847047 |
| inflammation | 0.469608 |
| norovirus illness | 0.639684 |
| older adults | 0.638614 |
| young children | 0.622038 |
| acute gastroenteritis | 0.706118 |
| intestines | 0.48174 |
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| 12499 |
Centers for Disease Control and Prevention |
Video |
en |
February 2014 ACIP Meeting -- ACIP Influenza LAIV |
LAIV vs. IIV Comparative Safety Studies in Children, Safety of Live-Attenuated vs. Inactivated Influenza Vaccines for Healthy Children (GRADE), LAIV supply update, and Annual Influenza Recommendations.
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://streaming.cdc.gov/vod.php?id=cab736ef7bc0790b90b6b9d9b315758920140410081420644 |
| ACIP Influenza LAIV | 0.994044 |
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