| 867 |
Centers for Disease Control and Prevention |
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Use of Antiviral Medications for Chemoprophylaxis of Close Contacts of Persons with Avian Influenza A (H7N9) Virus Infection |
Interim guidance to help clinicians determine when influenza antiviral agents should be used for chemoprophylaxis of close contacts of confirmed or probable cases of human infection with avian influenza A (H7N9) in the United States - CDC |
| MPEG | 0.378858 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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| 4776 |
Centers for Disease Control and Prevention |
Html |
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Pertussis Fast Facts |
Facts about Pertussis |
| treatment | 0.430967 |
| Approximately half | 0.552245 |
| CDC | 0.496419 |
| United States | 0.730104 |
| adults | 0.463595 |
| babies | 0.582293 |
| teens | 0.46517 |
| air | 0.434106 |
| effective way | 0.550829 |
| pertussis | 0.916679 |
| fit | 0.434222 |
| pregnant women | 0.55048 |
| coughing | 0.446538 |
| Clinicians | 0.431539 |
| children | 0.463729 |
| infected people | 0.533585 |
| Tdap | 0.464042 |
| olds | 0.431156 |
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| hospital | 0.430935 |
| Similar trends | 0.536394 |
| deaths | 0.430877 |
| illness | 0.430692 |
| cases | 0.586711 |
| disease | 0.504047 |
| preteens | 0.440471 |
| pertussis infection | 0.748748 |
| increase | 0.486621 |
| people | 0.548832 |
| fits | 0.437062 |
| whooping cough | 0.590453 |
| recent peak | 0.531047 |
| public health experts | 0.645014 |
| recent publication | 0.532915 |
| ages | 0.431452 |
| largest number | 0.529156 |
| antibiotics | 0.433225 |
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| 5777 |
Centers for Disease Control and Prevention |
Html |
en |
Tetrachloronaphthalene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| PDF | 0.261307 |
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| different file formats | 0.938484 |
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| 8016 |
Centers for Disease Control and Prevention |
Html |
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Norovirus Outbreaks - Press Release |
[Title] |
| country | 0.320966 |
| standard prevention | 0.394154 |
| Dr. Hall | 0.392563 |
| Mortality Weekly Report | 0.517895 |
| cooking shellfish | 0.393958 |
| state partners | 0.399211 |
| CaliciNet | 0.339364 |
| Disease Control | 0.415206 |
| direct contact | 0.404495 |
| new strains | 0.572039 |
| potential increases | 0.398212 |
| vomiting | 0.320939 |
| Dr. Jan Vinjé | 0.479204 |
| health professionals | 0.468719 |
| new strain | 0.79151 |
| United States | 0.965027 |
| New norovirus strains | 0.539318 |
| control outbreaks | 0.484527 |
| countries | 0.32095 |
| water | 0.338006 |
| diarrhea | 0.320728 |
| GII.4 Sydney strain | 0.727012 |
| highest risk | 0.403235 |
| acute gastroenteritis | 0.502714 |
| HUMAN SERVICES | 0.397481 |
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| outbreaks | 0.620199 |
| Web site | 0.398096 |
| Early identification | 0.398811 |
| Centers | 0.321141 |
| Young children | 0.405377 |
| best ways | 0.396489 |
| study | 0.321192 |
| norovirus outbreaks | 0.547867 |
| proportion | 0.321993 |
| Viral Diseases | 0.408203 |
| cause | 0.336134 |
| Norovirus infections | 0.420538 |
| percent | 0.340671 |
| Dr. Aron Hall | 0.495619 |
| elderly adults | 0.403731 |
| predominant GII.4 strain | 0.568947 |
| infected people | 0.402864 |
| U.S. DEPARTMENT | 0.397588 |
| CDC researchers | 0.425933 |
| Morbidity | 0.324795 |
| control measures | 0.392041 |
| new GII.4 Sydney | 0.486418 |
| severe illness | 0.502246 |
| past decade | 0.400526 |
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| 10673 |
Centers for Disease Control and Prevention |
Html |
en |
General Chemical Agents'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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| 11564 |
Centers for Disease Control and Prevention |
Html |
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About this Collection: FDA Smoking & Tobacco Microsite |
null |
| government sanction | 0.275376 |
| Human Services | 0.290193 |
| criminal prosecution | 0.277507 |
| HHS web pages | 0.650853 |
| certain information | 0.300213 |
| HHS websites | 0.599549 |
| U.S. Department | 0.289764 |
| U.S. Code | 0.278397 |
| following information | 0.302938 |
| Tobacco Products | 0.28422 |
| Disease Control | 0.29001 |
| longer period | 0.272995 |
| mobile applications | 0.271222 |
| U.S. Government | 0.277272 |
| HHS online privacy | 0.620208 |
| following requirements | 0.267714 |
| various provisions | 0.279476 |
| National Institutes | 0.287027 |
| Additional information | 0.29054 |
| similar digital channels | 0.328172 |
| web sites | 0.271117 |
| HHS privacy policy | 0.707337 |
| session cookies | 0.283273 |
| software programs | 0.279609 |
|
| site security purposes | 0.352178 |
| customizable collection | 0.286751 |
| overall customer service | 0.345528 |
| content syndication | 0.283382 |
| Federal court | 0.277094 |
| HHS website visitors | 0.784802 |
| informational materials | 0.278729 |
| Drug Administration | 0.289843 |
| HHS | 0.967826 |
| official views | 0.27305 |
| commercial company | 0.27251 |
| law enforcement | 0.346336 |
| social media | 0.273805 |
| applicable federal law | 0.349221 |
| hard drive | 0.276334 |
| personal information | 0.361351 |
| e-mail message | 0.281458 |
| Health | 0.227186 |
| persistent cookies | 0.287979 |
| web page feature | 0.337415 |
| blog entry | 0.272442 |
| user experience | 0.274612 |
| online survey | 0.279933 |
| unauthorized attempts | 0.277762 |
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| 11977 |
Centers for Disease Control and Prevention |
Html |
en |
How the Affordable Care Act Increases Access to Influenza Vaccination for Healthcare Personnel |
How the Affordable Care Act Increases Access to Influenza Vaccination for Health Care Personnel - CDC |
| State’s Medicaid | 0.474002 |
| Health Insurance Marketplace | 0.603038 |
| passage | 0.424065 |
| Act reforms insurance | 0.524009 |
| adult immunizations | 0.479686 |
| new standards | 0.470053 |
| agency representative | 0.458583 |
| health insurance carrier | 0.77415 |
| vaccination rates | 0.461241 |
| deductibles | 0.423651 |
| health care personnel | 0.633552 |
| non-grandfathered group plans | 0.522247 |
| grandfathered status | 0.463279 |
| private health plans | 0.555166 |
| Medicaid program | 0.473001 |
| Kaiser Family Foundation | 0.517527 |
| recent updates | 0.469809 |
| Employer-sponsored health plans | 0.558629 |
| Affordable Care Act | 0.917023 |
| persons | 0.42116 |
| beneficiary | 0.416177 |
| HCP | 0.415774 |
| available insurance | 0.46607 |
| LTC | 0.412709 |
| employees | 0.41829 |
|
| cost-sharing | 0.428547 |
| vaccines | 0.427175 |
| long-term care | 0.46934 |
| adults | 0.439888 |
| market rules | 0.45921 |
| range | 0.412216 |
| Medicaid Services | 0.474228 |
| states | 0.418804 |
| Immunization Practices | 0.476744 |
| Advisory Committee | 0.471776 |
| grandfathered health plan | 0.531233 |
| provider | 0.428774 |
| ACIP | 0.496444 |
| primary ways | 0.457774 |
| pre-existing conditions | 0.462347 |
| Health insurers | 0.481447 |
| health coverage | 0.479399 |
| influenza vaccinations | 0.532411 |
| grandfathered plans | 0.472034 |
| Health Benefits Survey | 0.532725 |
| copays | 0.423662 |
| information | 0.420601 |
| preventive services | 0.533857 |
| operation | 0.411952 |
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| 12014 |
Centers for Disease Control and Prevention |
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Preguntas y respuestas sobre la transmisión | Enfermedad delÉbola |
null |
| blood products | 0.262972 |
| CDC | 0.296524 |
| recovery. Ebola virus | 0.567251 |
| longer term effects | 0.2687 |
| Ebola survivors | 0.609056 |
| Ebola virus | 0.90621 |
| direct contact | 0.287454 |
| various body fluids | 0.371596 |
| specific body fluids | 0.308442 |
| invasive surgical procedures | 0.27052 |
| previous outbreaks | 0.240535 |
| male survivors | 0.246066 |
| measles virus | 0.330479 |
| family members | 0.242655 |
| viruses | 0.24286 |
| viability testing | 0.277229 |
| World Health Organization | 0.269148 |
| specific fluids | 0.269131 |
| body fluids | 0.640387 |
| good supportive care | 0.275774 |
| blood establishments | 0.242593 |
| blood safety | 0.263306 |
| Ebola survivors. | 0.438015 |
| open cut | 0.24356 |
| semen | 0.305756 |
|
| household bleach | 0.240678 |
| United States | 0.265664 |
| Protein Therapeutics Association | 0.264613 |
| Blood Banks | 0.241224 |
| possible risk | 0.270316 |
| immune response | 0.243655 |
| different species | 0.241817 |
| previous Ebola outbreaks | 0.496367 |
| female Ebola survivors | 0.475498 |
| infected blood | 0.257306 |
| lipid-enveloped virus | 0.307327 |
| breast milk | 0.324929 |
| transfusion-transmitted Ebola | 0.42599 |
| hospital-grade disinfectants | 0.242979 |
| blood | 0.282224 |
| infected person | 0.246904 |
| spinal column fluid | 0.412589 |
| viral clearance steps | 0.265519 |
| Ebola patient | 0.49314 |
| Virus Persistence Study | 0.343482 |
| Sierra Leone Ministry | 0.266965 |
| large body | 0.247519 |
| time | 0.24438 |
| male Ebola survivors | 0.538181 |
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| 13531 |
Centers for Disease Control and Prevention |
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CDC Grand Rounds: Getting Smart About Antibiotics |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| antibiotic prescription | 0.649111 |
| direct health care | 0.285887 |
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| broad-spectrum antibiotics | 0.317214 |
| Antibiotic stewardship interventions | 0.55277 |
| appropriate prescribing practices | 0.262146 |
| health care delivery | 0.264759 |
| new antibiotic development | 0.627121 |
| Health care providers | 0.354974 |
| health care professionals | 0.275883 |
| antibiotic prescription rates | 0.532253 |
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| health care quality | 0.264285 |
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| pediatric ambulatory care | 0.258993 |
| clinical practice guidelines | 0.30782 |
| adverse drug reactions | 0.307873 |
| antibiotic use messages | 0.486672 |
| antibiotic selection | 0.515218 |
| U.S. ambulatory care | 0.257601 |
| health care settings | 0.36625 |
| antibiotic prescribing data | 0.579582 |
| antibiotics | 0.340563 |
|
| highest prescribing states | 0.278569 |
| antibiotic therapy | 0.603156 |
| Clostridium difficile infections | 0.274609 |
| inappropriate prescribing | 0.255596 |
| United States | 0.402247 |
| long-term care settings | 0.255262 |
| Ambulatory Medical Care | 0.325393 |
| excess health care | 0.297876 |
| respiratory tract infections | 0.314762 |
| ambulatory care visits | 0.455498 |
| antibiotic resistance | 0.967377 |
| C. difficile infection | 0.307153 |
| antibiotic stewardship practices | 0.536337 |
| higher health care | 0.294015 |
| antibiotic prescriptions | 0.539699 |
| ambulatory care interventions | 0.27794 |
| acute respiratory tract | 0.285719 |
| health care | 0.820406 |
| promotes antibiotic resistance | 0.646931 |
| antibiotic use data | 0.532169 |
| antibiotic stewardship | 0.636861 |
| appropriate antibiotic prescribing | 0.598514 |
| Medical Care Survey | 0.318953 |
| excess antibiotic prescribing | 0.592859 |
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| 13807 |
Centers for Disease Control and Prevention |
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Active Bacterial Core Surveillance for Legionellosis -United States, 2011-2013 |
Kathleen L. Dooling, MD1,2; Karrie-Ann Toews, MPH1; Lauri A. Hicks, DO1; Laurel E. |
| legionellosis infection | 0.684588 |
| Legionella pneumophila serogroup | 0.584994 |
| ABCs surveillance | 0.62083 |
| Bacterial Core surveillance | 0.581338 |
| passive public health | 0.577993 |
| legionellosis | 0.958301 |
| active population-based surveillance | 0.582982 |
| entire U.S. population | 0.570678 |
| care facilities | 0.576898 |
| Disease incidence | 0.574731 |
| urine antigen testing | 0.724843 |
| ABCs legionellosis surveillance | 0.819813 |
| respiratory specimens | 0.583116 |
| U.S. postcensal population | 0.572177 |
| ABCs data | 0.654575 |
| underlying medical conditions | 0.579235 |
| Infections Program network | 0.568919 |
| Legionella bacteria | 0.573506 |
| Future ABCs analyses | 0.616878 |
| geographically diverse population | 0.570868 |
| health care facilities | 0.570333 |
| medical conditions | 0.662159 |
| state public health | 0.574176 |
| NNDSS case definition | 0.570802 |
|
| passive surveillance | 0.575632 |
| main clinical syndromes | 0.570442 |
| United States | 0.680839 |
| Emerging Infections Program | 0.692695 |
| ABCs incidence rates | 0.66838 |
| legionellosis incidence | 0.807432 |
| crude incidence | 0.596818 |
| surveillance catchment areas | 0.575577 |
| better diagnostic testing | 0.578341 |
| legionellosis cases | 0.800604 |
| legionellosis patients | 0.697412 |
| ABCs sites | 0.601265 |
| Overall disease rates | 0.58554 |
| urinary antigen testing | 0.586372 |
| public health | 0.665473 |
| highest incidence sites | 0.584747 |
| clinical course | 0.634893 |
| New York | 0.631448 |
| Notifiable Diseases Surveillance | 0.57897 |
| population-based surveillance | 0.618673 |
| ABCs program | 0.610502 |
| ABCs personnel | 0.637678 |
| U.S. population | 0.59964 |
| laboratory data | 0.569019 |
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