| 565 |
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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| 4780 |
Centers for Disease Control and Prevention |
Html |
en |
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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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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| 6874 |
Centers for Disease Control and Prevention |
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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 |
|
| 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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| 6997 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - May 18, 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. |
| H. influenzae | 0.376572 |
| National Center | 0.293729 |
| cases | 0.354859 |
| CDC | 0.287887 |
| novel influenza | 0.635704 |
| Total case counts | 0.443245 |
| pandemic influenza | 0.93758 |
| measles cases | 0.335474 |
| ** Data | 0.337913 |
|
| Cumulative total E. | 0.463016 |
| Influenza Division | 0.441593 |
| case reports | 0.281924 |
| 2009 pandemic | 0.744245 |
| probable cases | 0.321713 |
| Respiratory Diseases | 0.300603 |
| rubella cases | 0.304484 |
| human infection | 0.323499 |
| influenza A virus | 0.480032 |
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| 8133 |
Centers for Disease Control and Prevention |
Html |
en |
DHDSP - World Stroke Day |
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| 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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| 8801 |
Centers for Disease Control and Prevention |
Html |
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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 |
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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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en |
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 |
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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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