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Centers for Disease Control and Prevention |
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FluView Weekly Influenza Surveillance Report |
Weekly U.S. Influenza Surveillance Report: FluView - CDC |
| influenza | 0.907699 |
| local influenza surveillance | 0.506727 |
| influenza positive tests | 0.525406 |
| CDC influenza surveillance | 0.516307 |
| influenza virus type | 0.55342 |
| influenza subtype | 0.502884 |
| Puerto Rico | 0.452469 |
| United States | 0.454208 |
| novel influenza | 0.595059 |
| variant influenza infection | 0.517802 |
| low ILI activity | 0.453671 |
| Influenza A Virus | 0.547829 |
| influenza surveillance information | 0.525991 |
| Influenza Mortality | 0.518992 |
| influenza virus infection | 0.511484 |
| influenza B/Victoria-lineage | 0.490228 |
| peramivir-resistant influenza | 0.483622 |
| influenza data | 0.498672 |
| Influenza Hospitalization Surveillance | 0.523498 |
| moderate ILI activity | 0.453531 |
| influenza vaccine | 0.500763 |
| following influenza activity | 0.502679 |
| influenza activity | 0.591805 |
|
| influenza vaccines | 0.495268 |
| double deletion viruses | 0.464184 |
| up-to-date influenza information | 0.51883 |
| minimal ILI activity | 0.45194 |
| influenza A. | 0.518395 |
| influenza viruses co-circulating | 0.596635 |
| Local influenza activity | 0.505516 |
| Regional influenza activity | 0.506479 |
| influenza B/Yamagata-lineage | 0.489224 |
| Sporadic influenza activity | 0.504889 |
| influenza virus circulation | 0.504187 |
| ILI activity | 0.539642 |
| oseltamivir-resistant influenza | 0.483337 |
| Additional influenza surveillance | 0.50638 |
| recent influenza surveillance | 0.504177 |
| local influenza information | 0.500872 |
| influenza viruses | 0.788244 |
| influenza B lineage | 0.50044 |
| Influenza B Virus | 0.502068 |
| influenza positive specimens | 0.514739 |
| vaccine reference virus | 0.457886 |
| influenza b viruses | 0.574431 |
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Centers for Disease Control and Prevention |
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Prevention Strategies for Seasonal Influenza in Healthcare Settings |
Prevention Strategies for Seasonal Influenza in Healthcare Settings - CDC |
| influenza infection | 0.423555 |
| Influenza Vaccination Strategies | 0.327671 |
| ill HCP | 0.213164 |
| influenza vaccination coverage | 0.279607 |
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| infectious agents | 0.351814 |
| respiratory hygiene | 0.349766 |
| Influenza Vaccination Resources | 0.32933 |
| personal protective equipment | 0.245742 |
| Healthcare-associated influenza infections | 0.276042 |
| influenza activity | 0.267408 |
| seasonal influenza | 0.375879 |
| HCP vaccination strategies | 0.265144 |
| influenza virus transmission | 0.242945 |
| patients | 0.382149 |
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| HCP | 0.634673 |
| influenza virus | 0.720764 |
| influenza antiviral resistance | 0.257845 |
| hand hygiene | 0.438399 |
| aerosol-generating procedures | 0.291383 |
| influenza prevention measures | 0.285894 |
| Seasonal Influenza Vaccination | 0.322822 |
| influenza | 0.903386 |
|
| healthcare personnel | 0.211555 |
| H1N1 influenza virus | 0.290479 |
| comprehensive influenza prevention | 0.28753 |
| cough etiquette | 0.339249 |
| infection control | 0.503914 |
| influenza transmission | 0.354425 |
| possible influenza | 0.220188 |
| Monitor Influenza Activity | 0.227372 |
| respiratory symptoms | 0.234949 |
| community influenza activity | 0.256157 |
| influenza virus infection | 0.31933 |
| influenza exposure | 0.210297 |
| seasonal influenza vaccine | 0.256322 |
| seasonal influenza infection | 0.287989 |
| influenza season | 0.245926 |
| long-term care facilities | 0.379419 |
| influenza vaccination rates | 0.281943 |
| influenza vaccination | 0.491957 |
| HCP vaccination rates | 0.264253 |
| infection control measures | 0.268625 |
| influenza viruses | 0.242378 |
| healthcare setting | 0.337259 |
| influenza antiviral treatment | 0.267508 |
| healthcare settings | 0.488682 |
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Centers for Disease Control and Prevention |
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Regression model fitting with quadratic term leads to different conclusion in economic analysis of Washington State smoking ban [response to letter]. |
null |
| County Health Department | 0.818279 |
| obvious upturn | 0.478708 |
| model fit | 0.490515 |
| quadratic term | 0.936716 |
| model | 0.561474 |
| linear model | 0.55268 |
| smaller downturn | 0.479955 |
| single straight-line fit | 0.544948 |
| taxable sales revenue | 0.536756 |
| TRS post-SFL | 0.515988 |
| quadratic regressions | 0.544458 |
| Consumer Price Index | 0.530683 |
| exponential growth | 0.539459 |
| post-SFL segment term | 0.544536 |
| Washington State Department | 0.597928 |
| R2 value | 0.542227 |
| segmented regression approach | 0.553477 |
| improved R2 value | 0.530194 |
| quadratic term. | 0.535373 |
| linear trend | 0.486356 |
| Multnomah County Health | 0.842994 |
| post-SFL period | 0.473946 |
| linear growth function | 0.540136 |
| Portland | 0.476447 |
|
| model projections | 0.48261 |
| different models | 0.476879 |
| McClintock | 0.648194 |
| slightly higher value | 0.523653 |
| better fit | 0.476544 |
| smoke-free law | 0.554964 |
| McClintock’s contention | 0.544571 |
| Julie E. Maher | 0.512927 |
| segmented model | 0.49756 |
| TRS data | 0.573186 |
| linear segmented term | 0.561859 |
| McClintock’s misunderstandings | 0.535289 |
| different inflation adjustment | 0.525257 |
| raw TRS data | 0.562978 |
| different conclusions | 0.483985 |
| Public Health Division | 0.707822 |
| McClintock state | 0.544759 |
| Figure. Segmented | 0.483562 |
| theoretical break point | 0.534757 |
| raw data table | 0.532531 |
| McClintock’s letter | 0.561001 |
| taxable retail sales | 0.680017 |
| Michael J. Boysun | 0.51341 |
| Oregon Public Health | 0.698093 |
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Centers for Disease Control and Prevention |
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Ethylene thiourea - NIOSH Pocket Guide to Chemical Hazards |
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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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Centers for Disease Control and Prevention |
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Sharon's Biography - Sharon's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Sharon, a former smoker who had throat cancer and who is featured in CDC's Tips from Former Smokers campaign. |
| skin | 0.301892 |
| 14 years | 0.296609 |
| Sharon | 0.912261 |
| life | 0.383914 |
| mother | 0.308016 |
| cancerous tumor | 0.760402 |
| outcomes | 0.306519 |
| Smokers® campaign | 0.673439 |
| things | 0.298818 |
| kids | 0.298625 |
| counting | 0.306774 |
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| surgeries | 0.31987 |
| wife | 0.314056 |
| casual smoking | 0.730835 |
| expensive addiction | 0.751752 |
|
| electrolarynx | 0.295753 |
| pressure | 0.298205 |
| neck | 0.308657 |
| message | 0.294767 |
| water | 0.307659 |
| puff | 0.34841 |
| efforts | 0.293209 |
| discomfort | 0.343993 |
| radiation | 0.303728 |
| voice box | 0.675778 |
| biopsy | 0.329374 |
| cigarettes | 0.333385 |
| growth | 0.306746 |
| time | 0.415088 |
| stage IV throat | 0.753667 |
| thing | 0.298094 |
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Centers for Disease Control and Prevention |
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Basics | Blood Safety | CDC |
Blood Safety Basics |
| red blood cells | 0.597025 |
| blood donors | 0.438739 |
| blood products | 0.424462 |
| transfusion | 0.944427 |
| systolic blood pressure | 0.428578 |
| transfusion reaction | 0.803844 |
| U.S. blood supply | 0.585085 |
| hypotensive transfusion reaction | 0.643585 |
| delayed hemolytic transfusion | 0.623038 |
| Transfusion-related acute lung | 0.437679 |
| common adverse reactions | 0.421247 |
| blood transfusions | 0.590579 |
| adverse reactions | 0.550613 |
| transfusion recipient develops | 0.570279 |
| various infectious disease | 0.391481 |
| National Blood Collection | 0.425403 |
| blood type | 0.510147 |
| acute hemolytic transfusion | 0.668848 |
| donor blood | 0.394682 |
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| blood donations | 0.406071 |
| rare reaction | 0.395878 |
| certain infectious disease | 0.386107 |
| incompatible blood type | 0.434682 |
|
| non-hemolytic transfusion reaction | 0.606679 |
| non-hemolytic transfusion reactions | 0.575187 |
| difficulty breathing | 0.38752 |
| blood centers | 0.439124 |
| serologic transfusion reaction | 0.65147 |
| common reaction | 0.398008 |
| emergency treatment facilities | 0.397524 |
| life-saving blood transfusions | 0.491131 |
| Transfusion-associated circulatory overload | 0.446132 |
| transfusion-associated adverse reactions | 0.422664 |
| infectious disease pathogens | 0.474715 |
| acute lung injury | 0.437667 |
| blood components | 0.388379 |
| red blood cell | 0.433427 |
| Febrile non-hemolytic transfusion | 0.610955 |
| hemolytic transfusion reaction | 0.749192 |
| hemolytic transfusion reactions | 0.592057 |
| National Healthcare Safety | 0.462661 |
| delayed serologic transfusion | 0.611683 |
| transfusion basic science | 0.601613 |
| blood transfusion | 0.804574 |
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| severe reaction | 0.419925 |
| blood | 0.875607 |
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Centers for Disease Control and Prevention |
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Global Health - Global Health Security - Respond |
null |
| operational frameworks | 0.590746 |
| endorsement | 0.452236 |
| CDC | 0.438898 |
| access | 0.431114 |
| vaccines | 0.442548 |
| policies | 0.428881 |
| navigation Skip | 0.779913 |
| capacity | 0.556188 |
| Content source | 0.562738 |
| HHS | 0.456187 |
| multi-sectorial rapid response | 0.746733 |
| Notice | 0.437178 |
| public | 0.428742 |
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| medications | 0.43733 |
| real-time information | 0.580509 |
| outbreak | 0.4483 |
| medical personnel | 0.572237 |
| list Skip | 0.778192 |
| personal protective equipment | 0.73698 |
| teams | 0.431162 |
| page options Skip | 0.94755 |
| Promote establishment | 0.601714 |
| non-federal site | 0.600067 |
| animal health | 0.572653 |
| technical expertise | 0.58039 |
| employees | 0.428622 |
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Centers for Disease Control and Prevention |
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Men's Health - National Men's Health Week |
The pathway to men’s health information and resources from the Centers for Disease Control and Prevention to promote wellness and prevent disease, injury, and disability. |
| 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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Breast Cancer Screening Tests |
Breast cancer screening means checking a woman’s breasts for cancer before there are signs or symptoms of the disease. |
| average risk | 0.411719 |
| health care provider | 0.597644 |
| best screening options | 0.435724 |
| appointment | 0.310486 |
| best way | 0.474324 |
| recommendations | 0.324194 |
| research | 0.311573 |
| USPSTF | 0.333457 |
| Cancer Screening Chart | 0.446851 |
| leading organizations | 0.369086 |
| co-insurance | 0.310393 |
| patients | 0.311538 |
| breast MRI | 0.450142 |
| diseases | 0.321255 |
| doctor’s office | 0.394618 |
| breasts | 0.330852 |
| lumps | 0.325435 |
| symptoms | 0.337874 |
| size | 0.310125 |
| decision-making | 0.312341 |
| doctors | 0.320801 |
| high risk | 0.356876 |
| disease experts | 0.36053 |
| women | 0.395885 |
| benefits | 0.324317 |
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| woman | 0.312834 |
| United States Preventive | 0.414264 |
| mammograms | 0.402968 |
| changes | 0.336919 |
| pictures | 0.310909 |
| breast self-exam | 0.481789 |
| signs | 0.312815 |
| screen women | 0.358294 |
| out-of-pocket cost | 0.359729 |
| mammogram | 0.384242 |
| X-ray | 0.310529 |
| hospital | 0.310656 |
| radio waves | 0.358592 |
| breast cancer screening | 0.74751 |
| clinical breast exam | 0.551279 |
| health insurance plans | 0.401269 |
| regular mammograms | 0.381703 |
| co-pay | 0.314502 |
| breast cancer | 0.916946 |
| Services Task Force | 0.413084 |
| cancer screening tests | 0.43243 |
| risks | 0.324515 |
| PDF-180KB | 0.312735 |
| breast MRIs | 0.453079 |
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Basics | Diabetes |
This page offers recources and information about the basics of diabetes |
| CDC-led National Diabetes | 0.596578 |
| type | 0.578184 |
| body | 0.417559 |
| body’s cells | 0.386948 |
| health care team | 0.455222 |
| pregnant women | 0.378342 |
| children | 0.333213 |
| pancreas | 0.3193 |
| healthy lifestyle | 0.460332 |
| energy | 0.338543 |
| Prevention Program | 0.378992 |
| healthy eating | 0.374825 |
| blood sugar levels | 0.447406 |
| symptoms | 0.33358 |
| health problems | 0.384623 |
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| health condition | 0.376095 |
| young adults | 0.452299 |
| healthy lifestyle habits | 0.450429 |
| body attacks | 0.380992 |
| American population | 0.384624 |
| insulin | 0.524365 |
| diabetes self-management education | 0.633767 |
| kidney disease | 0.383461 |
|
| teens | 0.332025 |
| real-life changes | 0.375916 |
| hormone | 0.317654 |
| gestational diabetes | 0.708588 |
| heart disease | 0.457124 |
| healthy lifestyle changes | 0.433724 |
| overweight | 0.317605 |
| key | 0.318137 |
| health complications | 0.373512 |
| main types | 0.386307 |
| mistake | 0.317979 |
| higher risk | 0.371053 |
| bloodstream | 0.349935 |
| glucose | 0.319718 |
| autoimmune reaction | 0.385204 |
| n’t enough insulin | 0.428423 |
| medicine | 0.316751 |
| people | 0.33408 |
| food | 0.335076 |
| baby | 0.340958 |
| vision loss | 0.389132 |
| time | 0.316911 |
| blood sugar | 0.73168 |
| diabetes | 0.948786 |
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