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Centers for Disease Control and Prevention |
Html |
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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 |
|
| 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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Centers for Disease Control and Prevention |
Html |
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DHDSP - World Stroke Day |
null |
| 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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| 8775 |
Centers for Disease Control and Prevention |
Html |
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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 |
|
| 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 |
|
CLICK HERE |
| 8801 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Sources of Infection & Risk Factors |
Information about risk factors for Naegleria fowleri, who gets infected, and how they get infected. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| Immunol Med Microbiol. | 0.481811 |
| amebic meningoencephalitis death | 0.469894 |
| Beach MJ | 0.542863 |
| Epidemiol Infect. | 0.465923 |
| PAM infections | 0.492546 |
| da Silva AJ | 0.50835 |
| infections | 0.494889 |
| Emerg Infect Dis. | 0.459947 |
| primary amoebic meningoencephalitis | 0.723168 |
| Cabral G. | 0.467482 |
| Eddy BA | 0.461065 |
| Appl Environ Microbiol. | 0.60764 |
| Fatal Naegleria fowleri | 0.611177 |
| Naegleria fowleri infection | 0.638644 |
| domestic water sources | 0.469818 |
| Parasitol Res. | 0.446567 |
| pathogenic free-living amebae | 0.448619 |
| Appl Envion Microbiol. | 0.444998 |
| water | 0.516428 |
| Clin Infect Dis. | 0.538673 |
| deadly thermophilic organism | 0.454156 |
| Visvesvara GS | 0.680102 |
| FEMS Immunol Med | 0.521559 |
| tap water | 0.455107 |
| primary meningoencephalitis | 0.45121 |
|
| primary amebic meningoencephalitis | 0.729391 |
| human disease | 0.463767 |
| South American tapir | 0.450368 |
| pathogenic Naegleria | 0.505341 |
| immune response | 0.464737 |
| hot springs | 0.450068 |
| Naegleria fowleri | 0.906422 |
| drinking water | 0.482686 |
| culturable Naegleria fowleri | 0.573363 |
| R. Fatal Naegleria | 0.535151 |
| Naegleria fowleri colonization | 0.576464 |
| nested PCR | 0.447206 |
| drinking water distribution | 0.445818 |
| environmental Naegleria fowleri | 0.561915 |
| Danila R. Fatal | 0.455483 |
| Yoder JS | 0.54899 |
| free-living amebae | 0.492975 |
| drinking water systems | 0.445201 |
| opportunistic agents | 0.466096 |
| warm water discharge | 0.448785 |
| ritual nasal rinsing | 0.454101 |
| free-living amoeba Naegleria | 0.520752 |
| u.s. infections | 0.464425 |
| LaPat-Polasko L. Identification | 0.456451 |
|
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| 8828 |
Centers for Disease Control and Prevention |
Html |
en |
Antismoking Messages and Intention to Quit - 17 Countries,2008-2011 |
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. |
| new mass media | 0.474721 |
| tobacco consumption | 0.508977 |
| Human Services | 0.567699 |
| mass media campaign | 0.569964 |
| single media channel | 0.589032 |
| multiple channels | 0.529181 |
| current smokers | 0.846964 |
| current cigarette smokers | 0.698457 |
| antismoking information | 0.57209 |
| media channels | 0.872171 |
| awareness | 0.757455 |
| mass media channels | 0.622799 |
| multiple media channels | 0.55279 |
| primary media channel | 0.468176 |
| tobacco | 0.601749 |
| representative household survey | 0.440392 |
| Health Organization Framework | 0.442004 |
| anti-cigarette smoking information | 0.631867 |
| Linda J. Andes | 0.527432 |
| World Health Organization | 0.533819 |
| comprehensive tobacco control | 0.459664 |
| mass media | 0.987624 |
| countries | 0.6462 |
| Logistic regression | 0.452822 |
| protobacco marketing | 0.582059 |
|
| mass media campaigns | 0.842302 |
| current cigarette smoker | 0.479615 |
| American Health Organization | 0.443197 |
| Regional Office | 0.470779 |
| messages | 0.697948 |
| anti-cigarette smoking messages | 0.503887 |
| smoking precedes | 0.436455 |
| antismoking media messages | 0.667024 |
| actual quit behavior | 0.550142 |
| tobacco advertising | 0.460855 |
| European Regional Office | 0.433843 |
| median response rate | 0.430501 |
| adverse health effects | 0.438117 |
| Smoking cessation | 0.433614 |
| various marketing channels | 0.476162 |
| National Cancer Institute | 0.51749 |
| Adult Tobacco Survey | 0.492867 |
| odds ratios | 0.786236 |
| Western Pacific Office | 0.434292 |
| secondhand smoke exposure | 0.53654 |
| Smokers mass media | 0.539323 |
| cigarette packages | 0.532957 |
| Tobacco Control monograph | 0.45627 |
| tobacco control | 0.519937 |
|
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Centers for Disease Control and Prevention |
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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 |
|
| 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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Centers for Disease Control and Prevention |
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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 |
|
| 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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Centers for Disease Control and Prevention |
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November Is National Family Caregivers Month | CDC Features |
Preparation can help you transition to caregiver. |
| Advance Care Planning | 0.95174 |
| long-term financial assistance | 0.928191 |
| Community Living | 0.776419 |
| ADEAR Center | 0.965513 |
| comprehensive round-the-clock care | 0.977743 |
| insurance coverage | 0.808212 |
| hows | 0.6456 |
| prescription drugs | 0.800988 |
| medical condition | 0.820379 |
| chronic disease management | 0.930066 |
| whys | 0.64321 |
| meeting | 0.672365 |
| healthcare wishes | 0.810469 |
| National Institutes | 0.771494 |
| family members | 0.947088 |
| cancer patients | 0.777661 |
| diagnosis | 0.638599 |
| Support Program | 0.773489 |
| Caregiver Resource Kit | 0.961554 |
| free time | 0.793025 |
| errands | 0.639392 |
| physical health | 0.807702 |
| person | 0.671132 |
| Survivorship – Information | 0.786872 |
| Disease Education | 0.781789 |
|
| financial affairs | 0.80054 |
| family caregivers | 0.887972 |
| caregiver educational programs | 0.984877 |
| close friends | 0.798486 |
| Alzheimer’s disease | 0.910791 |
| conversations | 0.63544 |
| caregivers | 0.958601 |
| tip sheets | 0.781558 |
| National Family Caregiver | 0.958033 |
| variety | 0.657317 |
| community resources | 0.796297 |
| unpaid assistance | 0.786932 |
| National Institute | 0.775495 |
| Medicare | 0.665564 |
| informative materials | 0.778681 |
| best possible care | 0.955556 |
| workload | 0.641345 |
| services | 0.666567 |
| Talk | 0.635489 |
| people | 0.702925 |
| help | 0.637711 |
| Nearly half | 0.784861 |
| future | 0.639042 |
| adult day programs | 0.793633 |
|
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Centers for Disease Control and Prevention |
Html |
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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 |
|
| 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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Centers for Disease Control and Prevention |
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Understanding the Opioid Overdose Epidemic |
null |
| 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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