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Influenza Symptoms and the Role of Laboratory Diagnostics |
Laboratory diagnostic procedures for testing for influenza (flu) - CDC |
| respiratory samples | 0.330148 |
| rapid molecular assays | 0.454803 |
| antigen detection | 0.277192 |
| influenza A viruses | 0.394698 |
| Cobas Influenza A/B | 0.39375 |
| Influenza surveillance information | 0.427513 |
| respiratory syncytial viruses | 0.315403 |
| respiratory tract specimens | 0.385659 |
| Uncomplicated influenza | 0.421195 |
| molecular influenza | 0.383356 |
| Influenza Virus Testing | 0.409348 |
| results | 0.316821 |
| influenza A virus | 0.502289 |
| respiratory specimens | 0.309828 |
| virus subtypes | 0.332869 |
| influenza vaccine | 0.398578 |
| specific seasonal influenza | 0.390514 |
| influenza activity | 0.440851 |
| respiratory tract disease | 0.340578 |
| respiratory illness outbreak | 0.298952 |
| rapid antigen testing | 0.272094 |
| high sensitivity | 0.33551 |
| respiratory tract | 0.431273 |
| Influenza A&B | 0.375185 |
| influenza | 0.901437 |
|
| influenza diagnostic test | 0.453777 |
| immunofluorescence assays | 0.287347 |
| institutional influenza outbreaks | 0.403149 |
| respiratory illness | 0.334083 |
| human influenza viruses | 0.476325 |
| molecular assays | 0.504681 |
| viral culture | 0.439789 |
| community influenza activity | 0.402469 |
| low influenza activity | 0.401353 |
| upper respiratory tract | 0.356427 |
| influenza viral RNA | 0.494079 |
| new virus strains | 0.285209 |
| influenza patients | 0.421807 |
| lower respiratory tract | 0.420761 |
| respiratory tract specimen | 0.31509 |
| Rapid Diagnostic Testing | 0.268273 |
| Commercial rapid influenza | 0.423226 |
| influenza viral replication | 0.419202 |
| influenza testing | 0.427531 |
| influenza viruses | 0.621046 |
| influenza virus types | 0.413061 |
| respiratory failure | 0.281767 |
| rapid influenza | 0.570847 |
| peak influenza activity | 0.414268 |
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Centers for Disease Control and Prevention |
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CDC Online Newsroom - Press Briefing Transcript - Telebriefing on Tips from Former Smokers campaign |
Telebriefing on Tips from Former Smokers campaign |
| smoking rates | 0.620993 |
| touchdown phone. Star | 0.44736 |
| big difference. | 0.539594 |
| Lewkowict. Your line | 0.391088 |
| New York City | 0.441481 |
| number | 0.4097 |
| major financial toll. | 0.457962 |
| health conditions | 0.392242 |
| secondhand smoke | 0.46603 |
| infant death syndrome. | 0.464279 |
| help smokers | 0.399747 |
| lives | 0.408662 |
| terrible disease. Patients | 0.451323 |
| smoking related complications | 0.502387 |
| Smokers campaign | 0.440296 |
| tom frieden | 0.86712 |
| smoking rates. | 0.41939 |
| at-home ads | 0.405862 |
| preventable cause | 0.455851 |
| hard-hitting ads | 0.399504 |
| health care costs | 0.572328 |
| Tobacco control measures | 0.426876 |
| huge health impact | 0.454109 |
| ads | 0.593723 |
| fewer person smokes | 0.45376 |
|
| DAVID LEWKOWICT | 0.445191 |
| quit line. | 0.607666 |
| real-life stories | 0.438246 |
| obstructive pulmonary disease | 0.448753 |
| Tips campaign | 0.399371 |
| deborah kotz | 0.526565 |
| TOM SKINNER | 0.743542 |
| smokers | 0.496646 |
| quit line | 0.987718 |
| CDC press office | 0.42955 |
| different people | 0.434931 |
| certain demographic groups | 0.434474 |
| Dr. Tom Frieden | 0.551507 |
| health care | 0.597236 |
| strong scientific evidence | 0.429301 |
| smoke causes lung | 0.473175 |
| people | 0.900148 |
| extensive media coverage | 0.438519 |
| average smoking rates | 0.502274 |
| follow-up questions. Hopefully | 0.430592 |
| health care costs. | 0.462465 |
| smoke. Hard-hitting campaigns | 0.444049 |
| low birth weight | 0.468964 |
| Dr. Frieden | 0.596376 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Investigation of High HIV Prevalencein Western Equatoria State - South Sudan, 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. |
| Western Equatoria State | 0.356973 |
| antenatal clinics | 0.274131 |
| HIV epidemic | 0.389074 |
| original MMWR paper | 0.226493 |
| U.S. Government Printing | 0.221711 |
| Human Services | 0.229273 |
| commodity storage procedures | 0.22564 |
| Global Disease Detection | 0.22564 |
| HIV/AIDS HIV testing | 0.503491 |
| HIV prevention | 0.488349 |
| World Health Organization/United | 0.255396 |
| HIV seropositivity | 0.42301 |
| U.S. Department | 0.223293 |
| MMWR HTML versions | 0.221327 |
| testing attendees | 0.260829 |
| antiretroviral treatment services | 0.241464 |
| Global HIV/AIDS | 0.225246 |
| higher HIV prevalence | 0.518162 |
| voluntary counseling | 0.447421 |
| South Sudan Ministry | 0.288619 |
| HIV transmission | 0.387182 |
| Bahr el Ghazal | 0.243552 |
| Equatoria State Ministry | 0.225993 |
| health-care workers | 0.241098 |
|
| testing data collection | 0.277897 |
| antenatal clinic attendees | 0.265911 |
| South Sudan | 0.615466 |
| Global Health | 0.239281 |
| national HIV response | 0.444604 |
| HIV testing practices | 0.513689 |
| HIV prevention services | 0.47541 |
| antenatal clinic registers | 0.257756 |
| comprehensive HIV prevention | 0.446504 |
| HIV risk factors | 0.458568 |
| HIV testing data | 0.514847 |
| HIV programmatic data | 0.492273 |
| HIV services | 0.428369 |
| public health response | 0.26148 |
| Key informant interviews | 0.232645 |
| early sexual debut | 0.228043 |
| HIV testing | 0.618523 |
| human immunodeficiency virus | 0.242098 |
| HIV testing procedures | 0.495676 |
| E. Kainne Dokubo | 0.311521 |
| limited HIV care | 0.456573 |
| two-test serial testing | 0.256664 |
| Central African Republic | 0.224549 |
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Asthma - BRFSS 2008 - Table L3 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territory |
BRFSS 2008 - Table L3 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territor |
| CDC | 0.286484 |
| FL | 0.276668 |
| Lifetime Asthma Prevalence | 0.466783 |
| Technical Information | 0.277605 |
| Search Form Controls | 0.488437 |
| Adult Asthma Data | 0.287385 |
| Child Table | 0.901174 |
| file | 0.433393 |
| Clifton Road Atlanta | 0.277139 |
| MD | 0.268276 |
| IA | 0.269152 |
| GA | 0.313785 |
| small sample size | 0.264684 |
| Prevalence Tables | 0.295145 |
| MI | 0.262651 |
| sample size | 0.284809 |
| CA | 0.278813 |
| Tweet Share Compartir | 0.32174 |
| MN | 0.2619 |
| U.S. Total** | 0.722547 |
| Table L2 | 0.394622 |
| Table | 0.902982 |
| Table L3 | 0.40268 |
| *CI denotes confidence | 0.267314 |
|
| MS | 0.266799 |
| page options Skip | 0.307609 |
| Search Controls | 0.307333 |
| KS | 0.268568 |
| )|| | 0.315776 |
| Child Table L2 | 0.361982 |
| different file formats | 0.263953 |
| Map R1 | 0.264105 |
| file formats | 0.269547 |
| KY | 0.26615 |
| 10.6 | 0.627943 |
| Apple Quicktime file | 0.267305 |
| 14.1 | 0.334378 |
| CT | 0.272813 |
| Child Table C2 | 0.361002 |
| Asthma Prevalence Rate | 0.46613 |
| Table L3 Lifetime | 0.304828 |
| NE | 0.261826 |
| AZ | 0.276612 |
| confidence interval | 0.302159 |
| Table C2 | 0.393384 |
| 14.5 | 0.404044 |
| Adult Self-Reported Lifetime | 0.308199 |
|
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| 10494 |
Centers for Disease Control and Prevention |
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Email Updates: August 13, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.965151 |
| CDC’s National | 0.749817 |
| Public Health Matters | 0.576546 |
| appropriate opioid prescribing | 0.544493 |
| FDA Safety Information | 0.541483 |
| NCHHSTP Atlas | 0.525822 |
| CDC Health Advisory | 0.793425 |
| – (CDC) | 0.719061 |
| Health Care Professionals | 0.563034 |
| CDC Science Clips | 0.803101 |
| Additional COCA Conference | 0.581145 |
| state health departments | 0.563248 |
| important safety information | 0.537681 |
| Free CE credit/contact | 0.535246 |
| human medical products | 0.525609 |
| Weekly Flu View | 0.522902 |
| on-demand emergency preparedness | 0.555437 |
| national immunization coverage | 0.567158 |
| H3N2v Virus Infections | 0.575499 |
| H3N2v Cases Telebriefing | 0.542134 |
| hear subject matter | 0.537813 |
| 122-Cities Mortality Reporting | 0.528044 |
| Event Reporting Program | 0.526747 |
| h3n2v virus | 0.587307 |
|
| emergency preparedness | 0.583861 |
| worst electrical blackout | 0.531117 |
| Salmonella Enteritidis Infections | 0.551736 |
| CDC Fact Sheet | 0.75744 |
| Human Infections Reported | 0.565198 |
| United States | 0.612455 |
| CDC Update | 0.707117 |
| COCA Email Update | 0.58904 |
| west nile virus | 0.817308 |
| public health community | 0.577424 |
| adverse health effects | 0.587219 |
| COCA Call/Webinar | 0.521676 |
| local health departments | 0.569959 |
| public health | 0.727961 |
| Specific Hazards preparedness | 0.550358 |
| Heat Prevention Guide | 0.536401 |
| disaster risk reduction | 0.540253 |
| FoodSafety.gov Reports FDA | 0.53577 |
| National Immunization Awareness | 0.660555 |
| Earn FREE CE | 0.540002 |
| federal public health | 0.562808 |
| Response Training Resources | 0.540896 |
| CDC subject matter | 0.838458 |
| public health research | 0.577838 |
|
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Creative Brief'Pneumonic Plague' Communicating in the 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 |
| 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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CDC, Federal Partners Develop Improved Method for Attributing Foodborne Illness |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| common food sources | 0.412419 |
| new food categories | 0.401874 |
| Interagency Food Safety | 0.433755 |
| vegetable row crops | 0.355112 |
| scientific data | 0.260844 |
| USDA’s Food | 0.291846 |
| Disease Control | 0.275033 |
| overall federal efforts | 0.347696 |
| raw milk | 0.342847 |
| U.S. Food | 0.295475 |
| specific foodborne illnesses | 0.578094 |
| new method | 0.273061 |
| Listeria monocytogenes | 0.370062 |
| food products | 0.271485 |
| outbreak data | 0.588687 |
| Outbreak Surveillance Data | 0.4897 |
| recent outbreak data | 0.45604 |
| illness source attribution | 0.926913 |
| major foodborne bacteria | 0.522219 |
| Escherichia coli O157 | 0.463711 |
| IFSAC partnership | 0.499198 |
| foodborne illness | 0.981917 |
| Listeria illnesses | 0.391493 |
| IFSAC’s methods | 0.550642 |
| foodborne illness source | 0.962637 |
|
| unpasteurized queso fresco | 0.38133 |
| O157 illnesses | 0.327498 |
| performance standards | 0.254683 |
| United States | 0.257251 |
| Source Attribution Estimates | 0.507523 |
| Drug Administration | 0.274661 |
| agency priorities | 0.254422 |
| percent | 0.376963 |
| public meeting | 0.242716 |
| Salmonella illnesses | 0.345783 |
| Campylobacter illnesses | 0.348709 |
| food commodities | 0.259005 |
| IFSAC | 0.786337 |
| E. coli | 0.603435 |
| IFSAC experts | 0.526869 |
| single large outbreak | 0.407272 |
| risk-based decision making | 0.364009 |
| attribution percentages | 0.306209 |
| dairy outbreaks | 0.254287 |
| leafy vegetables | 0.247383 |
| Analytics Collaboration | 0.259667 |
| improved method | 0.268913 |
| report | 0.259692 |
| new estimates | 0.297446 |
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Preventing High Blood Pressure (Hypertension): Healthy Living Habits | cdc.gov |
Learn the four healthy living habits that can help you prevent high blood pressure. Get trusted blood pressure facts from the CDC. |
| CDC’s Nutrition | 0.458915 |
| healthy diet | 0.564654 |
| foods | 0.319498 |
| obese increases | 0.421529 |
| Tobacco Use Web | 0.400081 |
| DASH | 0.322367 |
| excess body fat | 0.497188 |
| healthy lifestyle | 0.570703 |
| plan | 0.319263 |
| height | 0.320349 |
| alcohol | 0.33195 |
| blood pressure | 0.935253 |
| Obesity Program Web | 0.516076 |
| body mass index | 0.501091 |
| Dietary Approaches | 0.413538 |
| healthy range | 0.575232 |
| plenty | 0.320029 |
| Weight Web site | 0.506388 |
| CDC’s Division | 0.448396 |
| fresh fruits | 0.41346 |
| Health Web site | 0.492146 |
| doctors | 0.339204 |
| hip measurements | 0.406153 |
| waist | 0.32492 |
|
| Web site | 0.797163 |
| healthful meal | 0.432 |
| moderate-intensity exercise | 0.404722 |
| heart attack | 0.400227 |
| potassium | 0.322736 |
| lower your risk | 0.460564 |
| snack options | 0.4249 |
| heart disease | 0.515463 |
| overweight | 0.324119 |
| quitting | 0.325301 |
| BMI | 0.35049 |
| Hypertension | 0.321855 |
| higher risk | 0.401696 |
| lower your blood | 0.446385 |
| complications | 0.320148 |
| healthy weight | 0.461824 |
| CDC’s Smoking | 0.441227 |
| Cigarette smoking | 0.404667 |
| stroke | 0.341361 |
| physical activity | 0.730099 |
| Surgeon General | 0.405945 |
| brisk walking | 0.413246 |
| high blood pressure | 0.688809 |
| Obesity Web site | 0.502163 |
|
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Tuskegee Study - Timeline |
Tuskegee Syphilis Study Timeline |
| study participants | 0.615296 |
| States Public Health | 0.599117 |
| dollar cooperative agreement | 0.551063 |
| Tuskegee Institute | 0.718863 |
| free medical exams | 0.600552 |
| local medical societies | 0.564781 |
| major health initiative | 0.599475 |
| Assistant Secretary | 0.581123 |
| Aggressive treatment approach | 0.580501 |
| Study ends | 0.548952 |
| untreated syphilis | 0.725712 |
| lifetime medical benefits | 0.718411 |
| Tuskegee Health Benefit | 0.845959 |
| black medical students | 0.57299 |
| University National Center | 0.674791 |
| Health Care hosts | 0.595193 |
| THBP benefits | 0.573228 |
| Health Benefit Program | 0.730575 |
| reproductive age population | 0.553733 |
| Rosenwald Fund | 0.599945 |
| health benefits | 0.547383 |
| advisory panel | 0.657569 |
| study | 0.934707 |
| Rosenwald Fund cuts | 0.582327 |
|
| Hoc Advisory Panel | 0.587169 |
| Scientific Affairs | 0.586985 |
| U.S. government | 0.57257 |
| highly effective treatment | 0.590118 |
| Service Syphilis Study | 0.743007 |
| class-action lawsuit | 0.582833 |
| military draft effort | 0.546647 |
| Rapid Treatment Centers | 0.570177 |
| Tuskegee Study | 0.893141 |
| Wall Street Crash | 0.557939 |
| burial services | 0.567028 |
| Booker T. Washington | 0.698215 |
| Tuskegee University National | 0.780681 |
| black economic development | 0.570876 |
| major health problem | 0.604024 |
| syphilis | 0.785933 |
| out-of-court settlement | 0.584936 |
| study participant | 0.565218 |
| Associated Press story | 0.578203 |
| Atlanta Cotton Exposition | 0.562899 |
| Tuskegee participant | 0.605887 |
| Public Health Service | 0.864437 |
| gains widespread support | 0.580244 |
| periodic physical assessments | 0.553076 |
|
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Motivación para que el Año Nuevo sea saludable - Especiales CDC - CDC en Español |
Haga de la salud su objetivo. Encuentre maneras de estar saludable este año. Consejos para mantenerse saludable y mantener saludables a su familia, su hogar, su comunidad y su lugar de trabajo. |
| Archivo Apple Quicktime | 0.709401 |
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| grasas trans | 0.613976 |
| múltiples enfermedades | 0.583594 |
| Archivo Microsoft PowerPoint | 0.742182 |
| Archivo Adobe PDF | 0.709825 |
| Archivo Microsoft | 0.919775 |
|
| Archivo Microsoft Word | 0.738129 |
| Archivo Texto | 0.593559 |
| antecedentes médicos familiares.* | 0.696406 |
| Archivo Zip Comprimido | 0.705859 |
| Archivo Microsoft Excel | 0.712904 |
| filtro solar | 0.590929 |
|
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