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Centers for Disease Control and Prevention |
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H7N9 Update - October 28, 2013 |
Rare, sporadic human infections with H7N9 in China have been reported since the end of May, following a surge of more than 130 cases with illness onset during the month of April - CDC |
| risk assessment | 0.887646 |
| CDC | 0.438081 |
| sustained human-to-human spread | 0.858643 |
| evidence | 0.479685 |
| avian influenza viruses | 0.872683 |
| seasonal pattern | 0.598352 |
| H7N9 preparedness efforts | 0.835556 |
| U.S. government | 0.589986 |
| infected birds | 0.586494 |
| Information | 0.361101 |
| sustained human-to-human transmission | 0.832129 |
| cooler weather | 0.620771 |
| epidemiology | 0.354809 |
| China | 0.718147 |
| infections | 0.366168 |
| total number | 0.618084 |
| end | 0.362915 |
| deaths | 0.362977 |
| clusters | 0.357246 |
| situation | 0.354526 |
|
| H7N9 infection | 0.658965 |
| World Health Organization | 0.916113 |
| cases | 0.846437 |
| Rare | 0.363191 |
| surge | 0.374961 |
| warmer seasons | 0.624227 |
| meantime | 0.380151 |
| people | 0.35412 |
| recent cases | 0.601984 |
| H7N9 activity | 0.597941 |
| global health partners | 0.814895 |
| live poultry | 0.590437 |
| circulation | 0.361437 |
| farmer | 0.356642 |
| recent case | 0.581468 |
| H7N9 | 0.870651 |
| illness onset | 0.663374 |
| indication | 0.362177 |
| time | 0.3559 |
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| 7487 |
Centers for Disease Control and Prevention |
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Veterans Health Activities - Gulf War Studies - Deployment and Subsequent Development of Cancer |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| current study | 0.444261 |
| Gulf War deployment | 0.621355 |
| Public Health | 0.580733 |
| Health Services | 0.45657 |
| CDC | 0.329284 |
| Military Medicine | 0.437269 |
| Levine PH | 0.443813 |
| Persian Gulf | 0.55584 |
| George Washington University | 0.592841 |
| testicular cancer | 0.577561 |
| School | 0.326082 |
| Association | 0.323935 |
| Gulf War | 0.996239 |
| SJ | 0.33268 |
| Jersey Cancer Registries | 0.594719 |
| cancer data | 0.440491 |
| Schools | 0.323908 |
| additional states | 0.435126 |
| Initial work | 0.446997 |
|
| Young HA | 0.43834 |
| New York | 0.432771 |
| Kang HK | 0.450459 |
| cancer patterns | 0.460575 |
| population-based study | 0.450046 |
| California | 0.322271 |
| analysis | 0.322693 |
| Florida | 0.322245 |
| Gulf War era | 0.860572 |
| Mahan CM | 0.450485 |
| Gulf War veterans | 0.788123 |
| Rentz | 0.338921 |
| non-Gulf War veterans | 0.650057 |
| Columbia | 0.323392 |
| statistically significant excess | 0.584674 |
| Texas | 0.322298 |
| War era veterans | 0.859105 |
| study investigators | 0.452185 |
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Centers for Disease Control and Prevention |
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More Women Getting PAP Tests as Recommended |
More Women Getting PAP Tests as Recommended |
| newer national recommendations | 0.404411 |
| Task Force | 0.251486 |
| diagnostic services | 0.237411 |
| Mortality Weekly Report | 0.38798 |
| CDC’s National | 0.31548 |
| health insurance | 0.244574 |
| American College | 0.257077 |
| cervical cancer prevention | 0.466733 |
| Behavior Risk Factor | 0.371613 |
| American Indian/Alaska Native | 0.356909 |
| American Cancer Society | 0.414894 |
| Disease Control | 0.269254 |
| normal test results | 0.385415 |
| Pap test | 0.761579 |
| private health plans | 0.353428 |
| Epidemic Intelligence Service | 0.353477 |
| uterine cervix | 0.260045 |
| cancer screening recommendations | 0.534534 |
| Keisha Houston | 0.245205 |
| cervical cancer screening | 0.793131 |
| Pap test survey | 0.510283 |
| Younger women | 0.336353 |
| cervical cancer | 0.932616 |
| CDC’s Division | 0.45929 |
| CDC’s Morbidity | 0.358628 |
|
| screening guidelines | 0.364373 |
| U.S. women | 0.316362 |
| guidelines chart | 0.238875 |
| certain preventive services | 0.357828 |
| HUMAN SERVICES | 0.24084 |
| Detection Program | 0.235447 |
| women | 0.770729 |
| U.S. Preventive Services | 0.405403 |
| cancer prevention | 0.501238 |
| recent Pap testing | 0.491192 |
| Cancer Prevention Control | 0.380953 |
| non-cancerous reasons | 0.258204 |
| percent | 0.576614 |
| good news | 0.240412 |
| U.S. DEPARTMENT | 0.240971 |
| Pap tests | 0.561546 |
| CDC’s efforts | 0.317569 |
| breast cancer screening | 0.484457 |
| Meg Watson | 0.248657 |
| total hysterectomy | 0.464956 |
| out-of-pocket costs | 0.238314 |
| women access | 0.287987 |
| public health efforts | 0.351711 |
| Affordable Care Act | 0.345532 |
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| 8443 |
Centers for Disease Control and Prevention |
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Bill's Biography - Bill's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Bill, a former smoker who has diabetes, had his leg amputated, and suffered kidney failure. |
| reason | 0.446428 |
| kidney problems | 0.609029 |
| stairs | 0.450616 |
| kidney failure | 0.638825 |
| poor circulation—made | 0.627698 |
| kidneys | 0.459773 |
| young people | 0.590173 |
| infant | 0.457989 |
| leg | 0.586239 |
| there. | 0.447659 |
| children | 0.54469 |
| heart disease | 0.620063 |
| smoking | 0.980363 |
| things | 0.454053 |
| open-heart surgery | 0.623144 |
|
| buddies | 0.459473 |
| dialysis treatments | 0.639038 |
| scariest thing—to wake | 0.819598 |
| sports | 0.446879 |
| makes | 0.452211 |
| stupid—one | 0.454095 |
| hard way | 0.627411 |
| blood | 0.449475 |
| Michigan | 0.45712 |
| Doctors | 0.450718 |
| eye | 0.446409 |
| Smoking cigarettes | 0.726821 |
| health problems | 0.787762 |
| teenage friend | 0.663879 |
| activities | 0.446815 |
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Centers for Disease Control and Prevention |
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Vaccine Information Statement: Inactivated Influenza - Vaccines - CDC |
Inactivated Influenza Vaccine Information Statment |
| inactivated flu vaccines | 0.777285 |
| vision changes | 0.54301 |
| Page | 0.570986 |
| lung disease | 0.54643 |
| National Vaccine Injury | 0.661484 |
| blood infections | 0.54776 |
| pregnant women | 0.547724 |
| severe allergic reaction | 0.780053 |
| upcoming flu season | 0.763976 |
| medical condition | 0.547933 |
| young children | 0.588637 |
| additional cases | 0.544359 |
| flu season. | 0.729055 |
| stuffy nose | 0.552793 |
| vaccine safety web | 0.657629 |
| severe allergy | 0.562948 |
| greatest risk | 0.546384 |
| Vaccine Adverse Event | 0.655197 |
| VAERS website | 0.549317 |
| life-threatening allergic reaction | 0.596523 |
| new flu vaccine | 0.855933 |
| severe complications | 0.559791 |
| live flu virus | 0.763073 |
| Guillain-Barré Syndrome | 0.590062 |
|
| United States | 0.600766 |
| flu vaccine | 0.992968 |
| life-threatening allergies | 0.546982 |
| itchy eyes | 0.545791 |
| flu shots | 0.727126 |
| preservative called thimerosal | 0.597119 |
| state health department | 0.576628 |
| certain health conditions | 0.584899 |
| muscle aches | 0.557184 |
| sore throat | 0.555898 |
| mild illness | 0.543022 |
| close contact | 0.550173 |
| vaccine package insert | 0.659575 |
| DTaP vaccine | 0.627866 |
| flu viruses | 0.73547 |
| severe pain | 0.557963 |
| people | 0.619856 |
| certain vaccines | 0.550184 |
| small increased risk | 0.578051 |
| doctor | 0.553237 |
| flu shot | 0.834395 |
| influenza viruses | 0.553414 |
| healthcare provider | 0.544107 |
| flu season | 0.823269 |
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Centers for Disease Control and Prevention |
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es |
Protéjase contra el virus respiratorio sincitial |
El virus respiratorio sincitial es común en el otoño, el invierno y la primavera. Por lo general, causa síntomas leves similares a los del resfrío. Sin embargo, puede ser grave, especialmente en bebés y adultos de edad avanzada. Lávese las manos con frecuencia para ayudar a proteger a su hijo y a los demás de este virus. |
| Archivo Apple Quicktime | 0.32404 |
| Archivo RealPlayer | 0.315524 |
| CDC Enfermedad | 0.317986 |
| Archivo Microsoft PowerPoint | 0.326502 |
| Archivo Adobe PDF | 0.32408 |
| busque vrs | 0.338456 |
| personas enfermas | 0.319874 |
|
| Estados Unidos | 0.316327 |
| Archivo Microsoft | 0.36486 |
| Archivo Microsoft Word | 0.326165 |
| respiratorio sincitial causa | 0.381495 |
| virus respiratorio | 0.959887 |
| Archivo Zip Comprimido | 0.323709 |
| Archivo Microsoft Excel | 0.324196 |
|
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| 12145 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Knowledge, Attitudes, andBeliefs About Human Papillomavirus HPV Vaccination Among PuertoRican Mothers and Daughters, 2010: A Qualitative Study -CDC |
The incidence of human papillomavirus (HPV) infection and cervical cancer can be reduced by increasing vaccination for HPV. Yet vaccination uptake and completion of the 3-dose series remain low among Puerto Rican females. This study explored psychosocial factors associated with HPV vaccination uptake decisions among Puerto Rican mothers and daughters. |
| young women | 0.776356 |
| papilloma virus vaccine | 0.410036 |
| HPV vaccination guidelines | 0.488499 |
| health insurance | 0.403895 |
| sexual disinhibition | 0.400948 |
| vaccine efficacy | 0.463395 |
| HPV types | 0.462678 |
| vaccine mandates | 0.395674 |
| daughters | 0.543192 |
| mothers | 0.540831 |
| unvaccinated daughter | 0.482546 |
| unvaccinated daughters | 0.409739 |
| vaccine decisions | 0.399608 |
| HPV vaccination initiation | 0.529631 |
| Human papillomavirus vaccine | 0.422067 |
| free vaccination | 0.404252 |
| cervical cancer | 0.962367 |
| vaccine effectiveness | 0.43735 |
| HPV vaccineHave | 0.446147 |
| human papillomavirus | 0.437689 |
| age range | 0.384893 |
| Vaccinated daughter | 0.424176 |
| HPV vaccine decision-making | 0.557341 |
| HPV vaccination decisions | 0.490183 |
|
| vaccine initiation decisions | 0.42987 |
| cervical cancer diagnosis | 0.390719 |
| Puerto Rico | 0.724359 |
| HPV vaccine advertising | 0.565272 |
| HPV vaccination | 0.839703 |
| HPV vaccine uptake | 0.522777 |
| United States | 0.407719 |
| HPV vaccine initiation | 0.613954 |
| HPV vaccine | 0.958336 |
| trial vaccine | 0.396504 |
| HPV vaccine campaigns | 0.520839 |
| HPV vaccination rates | 0.487889 |
| vaccine dose | 0.420058 |
| focus groups | 0.401702 |
| vaccine’s effectiveness | 0.403037 |
| human papilloma virus | 0.391602 |
| HPV vaccination uptake | 0.541835 |
| human papillomavirus vaccination | 0.381913 |
| Puerto Rican | 0.418662 |
| vaccine safety | 0.461354 |
| HPV infection | 0.474391 |
| Puerto Rican mothers | 0.410301 |
| psychosocial factors | 0.393607 |
| HPV vaccination status | 0.577231 |
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Centers for Disease Control and Prevention |
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Meningitis | Lab Manual | PCR Detection and Characterization | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| PCR detection assay | 0.508695 |
| DNA polymerase | 0.486512 |
| hpd real-time PCR | 0.504205 |
| PCR reaction assembly | 0.527197 |
| real-time PCR assays | 0.706278 |
| S. pneumoniae | 0.622415 |
| PCR thermocycler | 0.479904 |
| real-time PCR analysis | 0.48753 |
| PCR assay lytA | 0.496116 |
| potential PCR inhibitors | 0.492842 |
| capsule synthesis | 0.481804 |
| PCR reagent concentrations | 0.480143 |
| multiplex PCR serotyping | 0.488271 |
| real-time PCR machine | 0.510375 |
| real-time PCR assay | 0.589628 |
| PCR reactions | 0.498096 |
| ATP-driven export region | 0.499278 |
| PCR products | 0.497818 |
| Real-time PCR technology | 0.509103 |
| commercial PCR master | 0.480994 |
| PCR grade water | 0.481736 |
| amplified PCR product | 0.516755 |
| H. influenzae | 0.76026 |
| capsule | 0.486269 |
| master mix | 0.528646 |
|
| real-time PCR plate | 0.491757 |
| PCR positive reaction | 0.49504 |
| capsule locus | 0.479866 |
| different real-time PCR | 0.488135 |
| N. meningitidis | 0.517501 |
| clinical specimens | 0.559145 |
| species-specific real-time pcr | 0.513642 |
| entire PCR run | 0.488107 |
| PCR reaction | 0.527452 |
| PCR hood | 0.478896 |
| PCR amplification | 0.492227 |
| Serogroup/serotype-specific real-time PCR | 0.500728 |
| detection | 0.529612 |
| DNA extraction | 0.510774 |
| bacterial meningitis pathogens | 0.518375 |
| template DNA | 0.478954 |
| real-time pcr | 0.905257 |
| PCR master mix | 0.507534 |
| PCR technologies | 0.483637 |
| DNA | 0.620192 |
| Multiplex real-time PCR | 0.518348 |
| serotype-specific real-time PCR | 0.50925 |
| PCR amplicons | 0.481752 |
| real-time PCR reaction | 0.501998 |
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Questions and Answers | Know Hepatitis B | CDC |
Questions and Answers | Know Hepatitis B | CDC |
| high rates | 0.343284 |
| Hepatitis B test | 0.509865 |
| family member | 0.340179 |
| Hepatitis | 0.9115 |
| Hepatitis B spread | 0.539204 |
| liver failure | 0.409037 |
| coughing | 0.308473 |
| lifelong illness | 0.385722 |
| internists | 0.30839 |
| long-term health problems | 0.367464 |
| young children | 0.338365 |
| Hepatitis B virus | 0.630103 |
| help protect family | 0.363056 |
| liver damage | 0.463008 |
| family members | 0.399679 |
| greater risk | 0.34038 |
| liver disease | 0.443874 |
| Pacific Islands | 0.372005 |
| prescription pills | 0.337406 |
| over-the-counter medications | 0.336412 |
| person spread Hepatitis | 0.562357 |
| body fluid | 0.338738 |
| symptoms | 0.322396 |
| infected mother | 0.364489 |
| Yes. Many people | 0.348869 |
|
| health problems | 0.422172 |
| multiple ways | 0.340211 |
| ways Hepatitis | 0.525214 |
| access medical treatments | 0.364363 |
| liver conditions | 0.371741 |
| Hepatitis B treatment | 0.496522 |
| Asian Americans | 0.340645 |
| chronic Hepatitis | 0.549504 |
| Hepatitis B-related liver | 0.575085 |
| AAPIs | 0.358895 |
| young child | 0.340116 |
| additional liver damage | 0.399671 |
| Hepatitis B. | 0.613249 |
| people | 0.57162 |
| liver specialists | 0.365185 |
| Pacific Islanders | 0.341306 |
| effective vaccine | 0.337087 |
| family medicine practitioners | 0.364164 |
| Hepatitis B infection | 0.520831 |
| n’t | 0.311572 |
| liver cancer | 0.406921 |
| time | 0.308616 |
| Hepatitis B. People | 0.53732 |
| infectious disease physicians | 0.364224 |
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Centers for Disease Control and Prevention |
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Tools for Health Care Providers | Zika virus |
null |
| Health Care Providers | 0.962184 |
| CDC | 0.734542 |
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