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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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Pertussis Diagnosis and Treatment |
Pertussis Diagnosis and Treatment |
| fewer wet diapers | 0.666957 |
| infection | 0.38624 |
| good hand hygiene | 0.656229 |
| bacteria | 0.440496 |
| Español | 0.356948 |
| saline | 0.345418 |
| Diagnóstico y tratamiento | 0.550908 |
| throat | 0.341644 |
| typical signs | 0.536599 |
| body | 0.375364 |
| History | 0.343831 |
| pertussis | 0.934159 |
| urination | 0.346933 |
| syringe | 0.348685 |
| sticky mouth | 0.501054 |
| coughing | 0.354418 |
| soups | 0.340774 |
| Laboratory test | 0.524575 |
| irritants | 0.349862 |
| pertussis treatment | 0.805179 |
| hospital | 0.371666 |
| early treatment | 0.526812 |
| breathing passages | 0.494057 |
| dizziness | 0.342306 |
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| thirst | 0.344037 |
| professional diagnoses | 0.520994 |
| greatest risk | 0.50253 |
| muscle weakness | 0.502147 |
| sleepiness | 0.348168 |
| fits | 0.342363 |
| sample | 0.340843 |
| Physical examination | 0.551229 |
| small meals | 0.499519 |
| infected person | 0.517847 |
| mucus | 0.441228 |
| chemical fumes | 0.512866 |
| doctor | 0.421786 |
| symptoms | 0.387346 |
| whooping cough | 0.624576 |
| swab | 0.354607 |
| video demonstrations | 0.524749 |
| cough medications | 0.572072 |
| Blood test | 0.529503 |
| good handwashing | 0.508135 |
| Healthcare providers | 0.75278 |
| antibiotics | 0.46792 |
| cool mist vaporizer | 0.668334 |
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Aluminum - 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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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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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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Preventing Chronic Disease | Bidi and Hookah Use Among Canadian Youth: Findings From the 2010 Canadian Youth Smoking Survey - CDC |
Although cigarette use among Canadian youth has decreased significantly in recent years, alternative forms of tobacco use are becoming increasingly popular. Surveillance of youth tobacco use can help inform prevention programs by monitoring trends in risk behaviors. |
| hookah | 0.76212 |
| Tobacco Research Unit | 0.216602 |
| marijuana | 0.411886 |
| hookah use warrants | 0.251236 |
| youth tobacco | 0.212229 |
| youth | 0.918595 |
| female respondents | 0.264347 |
| prevalence | 0.263293 |
| occasional alcohol drinkers | 0.266307 |
| current cigarette smokers | 0.534575 |
| Bidi cigarettes | 0.253288 |
| canadian youth | 0.828853 |
| current bidi users | 0.548665 |
| current users | 0.238274 |
| current hookah users | 0.576371 |
| current bidi | 0.560373 |
| occasional marijuana users | 0.255701 |
| multivariate logistic regression | 0.216561 |
| bidi ever users | 0.246904 |
| bidi | 0.744985 |
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| flavored bidis | 0.259034 |
| male respondents | 0.209385 |
| hookahs | 0.328646 |
| prevention programs | 0.232286 |
| Youth Smoking Survey | 0.353817 |
| multiple risk behaviors | 0.295474 |
| white respondents | 0.21594 |
| tobacco products | 0.922797 |
| bidis | 0.64626 |
| respondents | 0.562327 |
| smoking bidis | 0.247123 |
| Ontario Tobacco Research | 0.213017 |
| water pipe | 0.405915 |
| flavored tobacco products | 0.854159 |
| frequent alcohol drinkers | 0.392055 |
| hookah lounge | 0.201701 |
| tobacco control | 0.338246 |
| female youth | 0.227886 |
| frequent marijuana users | 0.256088 |
| alternative tobacco products | 0.490965 |
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Profilaxis de Pre-exposición | Información básica | VIH/SIDA | CDC |
Preguntas básicas y respuestas sobre profilaxis de prexposición al VIH o la PrEP. |
| Archivo Apple Quicktime | 0.373304 |
| potencial exposición | 0.344971 |
| personas vih | 0.944753 |
| alto riesgo | 0.979899 |
| Archivo Microsoft PowerPoint | 0.377327 |
| Archivo Adobe PDF | 0.37193 |
| folleto hable | 0.350752 |
| profilaxis prexposición | 0.819301 |
| causa efectos | 0.349565 |
| Archivo Microsoft | 0.514228 |
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| suficiente medicamento | 0.363301 |
| Archivo Microsoft Word | 0.376648 |
| PrEP en inglés | 0.637598 |
| Archivo Zip Comprimido | 0.372554 |
| Archivo Microsoft Excel | 0.371008 |
| persona vih | 0.547681 |
| parejas masculinas bisexuales | 0.408306 |
| nombre truvada® | 0.371052 |
| seguro médico | 0.435008 |
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Preventing Chronic Disease | Engaging Traditional MedicineProviders in Colorectal Cancer Screening Education in a ChineseAmerican Community: A Pilot Study - CDC |
Although colorectal cancer (CRC) screening is effective in preventing colon cancer, it remains underused by Asian Americans. Because Chinese Americans often use traditional Chinese medicine (TCM), we conducted a pilot study to explore the feasibility and acceptability of having TCM providers deliver education about CRC screening. |
| community-based CRC screening | 0.46452 |
| CRC knowledge | 0.447199 |
| TCM providers | 0.790428 |
| culturally relevant screening | 0.397426 |
| self-reported CRC screening | 0.493579 |
| American Research Center | 0.424075 |
| flipchart TCM content | 0.406317 |
| Francisco State University | 0.39889 |
| screening frequency recommendations | 0.409448 |
| CRC screening | 0.957312 |
| Health Interview Survey | 0.417301 |
| actual screening status | 0.393153 |
| CRC screening disparities | 0.49283 |
| community-based TCM provider | 0.404899 |
| TCM professional associations | 0.407843 |
| health worker CRC | 0.435694 |
| CRC screening tests | 0.47649 |
| screening status | 0.396646 |
| Asian Americans | 0.408174 |
| up-to-date CRC screening | 0.467167 |
| TCM provider recruitment | 0.418602 |
| cancer screening intervention | 0.41553 |
| CRC causes | 0.399089 |
| pilot study | 0.404485 |
| TCM provider materials | 0.413721 |
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| area TCM providers | 0.431259 |
| traditional chinese medicine | 0.461589 |
| California Health Interview | 0.39775 |
| CRC mortality | 0.405179 |
| CRC screening test | 0.526689 |
| CRC screening behavior | 0.474654 |
| limited English proficiency | 0.449706 |
| patient screening behavior | 0.395223 |
| CRC prevention | 0.481739 |
| Asian American Research | 0.423072 |
| Chinese Americans | 0.447504 |
| health care | 0.417152 |
| participants | 0.485003 |
| integrative CRC | 0.400495 |
| patient CRC screening | 0.468777 |
| San Francisco State | 0.401739 |
| CRC program | 0.39196 |
| CRC screening rates | 0.499261 |
| health | 0.451309 |
| cancer screening messages | 0.397991 |
| TCM clients | 0.389235 |
| San Francisco | 0.556521 |
| up-to-date screening | 0.396787 |
| public health promotion | 0.392464 |
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Chikungunya Prevention |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Health Yellow Book | 0.482885 |
| Puerto Rico | 0.352709 |
| sunscreen | 0.28708 |
| hands | 0.258464 |
| mosquito bites | 0.494233 |
| flowerpots | 0.237378 |
| high levels | 0.359495 |
| chikungunya virus | 0.962516 |
| EPA-registered insect repellent | 0.801725 |
| effective way | 0.391777 |
| Cover crib | 0.365705 |
| *See EPA | 0.433294 |
| product label instructions | 0.528593 |
| Travelers Health website | 0.481176 |
| children | 0.259798 |
| screens | 0.252536 |
| multiple washings | 0.38193 |
| stroller | 0.238821 |
| Repair holes | 0.354139 |
| irritated skin | 0.372369 |
| Dress your child | 0.362669 |
| mosquitoes | 0.505576 |
| effectiveness | 0.258967 |
| baby carrier | 0.360266 |
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| product information | 0.366183 |
| permethrin products | 0.422233 |
| active ingredients | 0.384391 |
| product instructions | 0.367203 |
| -registered insect repellents | 0.7551 |
| breastfeeding women | 0.381918 |
| EPA website | 0.420328 |
| trash containers | 0.348758 |
| chikungunya virus infection | 0.96191 |
| Permethrin-treated clothing | 0.365764 |
| non-EPA registered insect | 0.626181 |
| Visit CDC | 0.36294 |
| people | 0.248508 |
| water | 0.247672 |
| infected person | 0.35271 |
| natural repellents | 0.438733 |
| infected mosquito | 0.502885 |
| insect repellent | 0.810074 |
| bed net | 0.357 |
| Spray insect | 0.489588 |
| lemon eucalyptus | 0.371043 |
| travel health notices | 0.480882 |
| chikungunya virus bite | 0.725611 |
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Understanding the Opioid Overdose Epidemic |
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| illegally-made fentanyl | 0.225903 |
| Trends Among Heroin | 0.420257 |
| CDC. Wide-ranging online | 0.517717 |
| Wide-ranging online data | 0.512657 |
| lower price | 0.218148 |
| heroin addiction | 0.476345 |
| nonmedical users | 0.227247 |
| synthetic opioids | 0.48673 |
| overdose deaths | 0.797329 |
| prescription opioids | 0.785994 |
| health care providers | 0.321657 |
| prescription opioids—drugs | 0.308479 |
| opioid pain relievers | 0.439465 |
| National Center | 0.323416 |
| nonmedical pain | 0.240743 |
| patient safety | 0.218627 |
| heroin | 0.62523 |
| southwest border | 0.21735 |
| past year heroin | 0.483658 |
| prescription opioid pain | 0.672088 |
| 15-year increase | 0.23897 |
| overall change | 0.226632 |
| prescription drug monitoring | 0.397705 |
| Health Statistics | 0.318342 |
|
| opioid overdose deaths | 0.717354 |
| Opioid Pain Relievers—United | 0.446384 |
| heroin use risk | 0.432491 |
| Heroin-related deaths | 0.345238 |
| nonmalignant pain | 0.229311 |
| opioid overdose prevention | 0.522918 |
| United States | 0.945995 |
| increased availability | 0.223591 |
| drug overdoses | 0.249823 |
| new heroin users | 0.581728 |
| illegal opioids | 0.41907 |
| Davies C. Associations | 0.294112 |
| heroin deaths | 0.591981 |
| Drug Alcohol Depend | 0.306325 |
| drug overdose deaths | 0.729209 |
| opioid-involved deaths | 0.37328 |
| possible contributors | 0.220042 |
| Paulozzi LJ | 0.217129 |
| Drug Enforcement Administration | 0.321248 |
| past month heroin | 0.483937 |
| local public health | 0.321113 |
| CBHSQ Data Review | 0.29992 |
| Jones CM | 0.326149 |
| et al | 0.316478 |
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