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Centers for Disease Control and Prevention |
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What You Should Know About Flu Antiviral Drugs |
What the general public should know about flu antiviral drugs - CDC |
| variant flu viruses | 0.558565 |
| CDC | 0.426972 |
| American Academy | 0.43782 |
| influenza antiviral drugs | 0.596414 |
| health care provider | 0.549601 |
| body aches | 0.443719 |
| Page | 0.416357 |
| best way | 0.440945 |
| cough | 0.419535 |
| pill | 0.417782 |
| inhaled powder | 0.447906 |
| pregnant women | 0.43861 |
| behavioral side effects | 0.438448 |
| antiviral drugs—oseltamivir | 0.50836 |
| Flu symptoms | 0.527088 |
| stuffy nose | 0.490738 |
| Yes. Oral oseltamivir | 0.48203 |
| seasonal influenza | 0.453752 |
| prescription medicines | 0.447115 |
| flu illness | 0.606701 |
| flu antiviral drugs | 0.728388 |
| seasonal flu | 0.523087 |
| persons | 0.424128 |
| high risk | 0.604754 |
| zanamivir | 0.428255 |
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| breathing problems | 0.438487 |
| Yes. Children | 0.43666 |
| treatment | 0.45903 |
| hospital stay | 0.440577 |
| severe flu illness | 0.547939 |
| Drug Administration | 0.439205 |
| flu vaccine | 0.568935 |
| milder illness | 0.445354 |
| bacterial infections | 0.442645 |
| flu complications | 0.679284 |
| prescription medications | 0.446783 |
| treatment option | 0.442329 |
| sore throat | 0.443874 |
| studies | 0.415335 |
| high risk factors | 0.475043 |
| antiviral drugs | 0.968762 |
| sick person | 0.443274 |
| people | 0.452198 |
| flu | 0.766816 |
| Yes. Antiviral drugs | 0.596285 |
| doctor | 0.44578 |
| Generic oseltamivir | 0.454135 |
| liquid | 0.415385 |
| headache | 0.417541 |
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Centers for Disease Control and Prevention |
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In-Depth Information - Anaplasmosis |
Anaplasmosis is a tickborne disease caused by the bacterium Anaplasma phagocytophilum. It was previously known as human granulocytic ehrlichiosis (HGE) and has more recently been called human granulocytic anaplasmosis (HGA).
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| suspect anaplasmosis case | 0.621833 |
| general public | 0.414747 |
| contact your state | 0.398218 |
| rickettsial diseases | 0.781855 |
| *Case definitions | 0.415055 |
| pages | 0.31797 |
| Mountain Spotted Fever | 0.514815 |
| routine electronic reporting | 0.493327 |
| CDC Infectious Disease | 0.578531 |
| CDC Case Report | 0.77422 |
| publication | 0.320459 |
| probable cases | 0.412065 |
| CDC policy | 0.509783 |
| CDC scientist | 0.52959 |
| laboratory consultation | 0.393922 |
| additional information | 0.408518 |
| U.S. healthcare providers | 0.484275 |
| diagnostic testing | 0.406143 |
| 1-800-CDC-INFO | 0.317672 |
| diagnosis | 0.356899 |
| version | 0.317996 |
| CRF | 0.355124 |
| detailed information | 0.422813 |
| anaplasmosis | 0.658917 |
| Private citizens | 0.402393 |
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| healthcare providers | 0.670945 |
| treatment | 0.320482 |
| United States | 0.415534 |
| Non-U.S. healthcare providers | 0.473528 |
| National Notifiable Disease | 0.500185 |
| epidemiologic | 0.321141 |
| different state-specific form | 0.500849 |
| additional important information | 0.496487 |
| general questions | 0.484593 |
| PDF | 0.317983 |
| state health department | 0.969483 |
| patient | 0.318339 |
| Tickborne Rickettsial Diseases | 0.763493 |
| Ehrlichioses | 0.330252 |
| lieu | 0.324129 |
| Case Report Form | 0.657788 |
| business | 0.349552 |
| suspect ehrlichiosis case | 0.492923 |
| certain tests | 0.394125 |
| RMSF | 0.320078 |
| specimens | 0.403694 |
| specimen submission | 0.609575 |
| advance approval | 0.396018 |
| management | 0.336853 |
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Centers for Disease Control and Prevention |
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Nitrogen trifluoride - 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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Centers for Disease Control and Prevention |
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MMWR News Summary: December 8, 2011 |
MMWR News Summary: November 3, 2011 |
| Influenza activity | 0.687563 |
| directly observed therapy | 0.706071 |
| new treatment regimen | 0.775312 |
| CDC | 0.735191 |
| influenza-related complications | 0.583764 |
| population subgroups | 0.590853 |
| new regimen | 0.605712 |
| new recommendations | 0.560878 |
| clinical trials | 0.570768 |
| patients. CDC | 0.636916 |
| greater risk | 0.57199 |
| expert opinion | 0.564457 |
| CDC
Division | 0.684197 |
| safety monitoring | 0.56941 |
| Influenza vaccination | 0.83768 |
| physical activity promotion | 0.738257 |
| percent higher prevalence | 0.777259 |
| exceptionally high rates | 0.751314 |
| arthritis | 0.594211 |
| arthritis-tailored interventions | 0.585416 |
| high risk | 0.563288 |
| HUMAN SERVICES | 0.566801 |
| important improvements | 0.597352 |
| NCHHSTP Media Line | 0.710192 |
| anti-TB drug isoniazid | 0.73452 |
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| early point | 0.577761 |
| effective treatment option | 0.72334 |
| overall prevalence | 0.614547 |
| best method | 0.743217 |
| United States | 0.58155 |
| adults | 0.634497 |
| TB disease | 0.862268 |
| Electronic Media | 0.771649 |
| influenza virus infection | 0.823742 |
| U.S. DEPARTMENT | 0.566983 |
| once-weekly doses | 0.630297 |
| LTPA | 0.614438 |
| CDC recommendations | 0.629297 |
| significant benefit | 0.552931 |
| health care worker | 0.708839 |
| influenza season | 0.68036 |
| low levels | 0.581697 |
| physical activity | 0.916269 |
| previous standard treatment | 0.721633 |
| antiviral treatment | 0.606058 |
| daily doses | 0.618264 |
| LTBI treatment regimens | 0.741391 |
| leisure-time physical activity | 0.79048 |
| latent tuberculosis infection | 0.729214 |
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Centers for Disease Control and Prevention |
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Bioterrorism Agents' 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. |
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Centers for Disease Control and Prevention |
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Chronic Disease Prevention & Health Promotion |
Heart disease, stroke, cancer, diabetes, and other chronic diseases cause 7 in 10 deaths every year in the U.S. CDC works to prevent the risk factors that cause these diseases, such as tobacco use, obesity, physical inactivity, poor nutrition, and alcohol abuse. |
| smoking-related disease | 0.71493 |
| obesity rates | 0.718108 |
| disability | 0.533676 |
| U.S. CDC | 0.761023 |
| tips | 0.551654 |
| poor nutrition | 0.715595 |
| adult asthma | 0.680664 |
| heart disease-causing chemicals | 0.879521 |
| early detection | 0.692506 |
| health conditions | 0.677792 |
| U.S. territories | 0.701716 |
| deaths | 0.586887 |
| generation | 0.533197 |
| risk factors | 0.711712 |
| tobacco smoke | 0.746309 |
| lives | 0.53373 |
| alcohol abuse | 0.712685 |
| Chronic disease prevention | 0.907969 |
| Smokers campaign | 0.793628 |
| Americans | 0.567023 |
| organizations—a program | 0.697407 |
| cervical cancers | 0.717619 |
| low-income preschoolers | 0.719788 |
| heart surgery scars | 0.851476 |
| millions | 0.53533 |
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| page | 0.538016 |
| unnecessary healthcare costs | 0.880016 |
| real former smokers | 0.791533 |
| obstructive pulmonary disease | 0.853681 |
| tens | 0.540073 |
| smoke-free workplaces | 0.716578 |
| cervical cancer screenings | 0.879725 |
| states | 0.533089 |
| PDF | 0.537992 |
| public places | 0.695297 |
| 2M | 0.553506 |
| billions | 0.548078 |
| chronic diseases | 0.740659 |
| daily smokers | 0.7924 |
| diabetes-related complications | 0.699128 |
| hard-hitting campaign features | 0.863722 |
| Diabetes Prevention Program | 0.882589 |
| throat surgeries | 0.693174 |
| tobacco education campaign | 0.905155 |
| limb amputations | 0.711315 |
| time | 0.533229 |
| future health problems | 0.869023 |
| breast | 0.555122 |
| physical inactivity | 0.737135 |
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Ebola Virus Disease Outbreak - West Africa, September2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| ongoing outbreak | 0.309226 |
| country | 0.208147 |
| Guinea | 0.299994 |
| Sierra Leone | 0.947134 |
| Ebola Epidemiology Team | 0.642775 |
| Special Pathogens Branch | 0.432553 |
| West Africa countries | 0.417836 |
| actual cases | 0.287578 |
| Ebola cases | 0.60104 |
| MMWR website | 0.289856 |
| Situational Awareness Team | 0.391001 |
| Ebola outbreak | 0.609271 |
| MMWR Early Release | 0.450638 |
| CDC response teams | 0.475596 |
| Disease Control | 0.249567 |
| case counts | 0.440687 |
| Barbara Knust | 0.299048 |
| Zoonotic Infectious Diseases | 0.434955 |
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| National Center | 0.277849 |
| World Health Organization | 0.673474 |
| health situation | 0.28823 |
| up-to-date clinical guidelines | 0.381296 |
| highest cumulative incidence | 0.425494 |
| Total case | 0.279023 |
| Geospatial Research | 0.259635 |
| latest updates | 0.255537 |
| Public Health Preparedness | 0.399806 |
| Liberia | 0.377899 |
| Corresponding author | 0.279753 |
| Geographic distribution | 0.41715 |
| unknown proportion | 0.273704 |
| Services Program | 0.257261 |
| West Africa | 0.759469 |
| Nigeria Center | 0.295254 |
| recent case | 0.26812 |
| Ebola virus disease | 0.625349 |
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Lead - State Programs - Michigan |
CDC’s Childhood Lead Poisoning Prevention Program - State Programs - Michigan |
| funding | 0.391842 |
| efforts | 0.380846 |
| Disease Control | 0.636892 |
| childhood lead poisoning | 0.923474 |
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| prevention programmatic activities | 0.893024 |
| initiatives | 0.389057 |
| direct funds | 0.60158 |
| P.O. Box | 0.594765 |
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Centers for Disease Control and Prevention |
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Know: Your Risk (BRCA) (612W x 612H) |
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Centers for Disease Control and Prevention |
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Preliminary Incidence and Trends of Infection with PathogensTransmitted Commonly Through Food - Foodborne Diseases ActiveSurveillance Network, 10 U.S. Sites, 2006-2014 |
Stacy M. Crim, MPH1, Patricia M. Griffin, MD1, Robert Tauxe, MD1, Ellyn P. |
| overall incidence | 0.581915 |
| Salmonella serotypes | 0.613826 |
| Salmonella serotype Infantis | 0.698396 |
| STEC non-O157 infections | 0.6439 |
| Salmonella serotype Typhimurium | 0.674025 |
| serotype Infantis infections | 0.613008 |
| infections | 0.749664 |
| Zoonotic Infectious Diseases | 0.466252 |
| Salmonella serotype Javiana | 0.488817 |
| serotype Typhimurium infections | 0.703909 |
| laboratory-confirmed infections | 0.549564 |
| non-O157 STEC infections | 0.688858 |
| unchanged overall incidence | 0.509739 |
| ongoing food safety | 0.437809 |
| Salmonella serotype | 0.755654 |
| Foodborne Diseases Active | 0.523358 |
| key foodborne pathogens | 0.520687 |
| laboratory-confirmed parasitic infections | 0.507321 |
| STEC O157 infection | 0.600285 |
| Olga L. Henao | 0.501547 |
| culture-independent diagnostic tests | 0.70736 |
| specimen collection | 0.440157 |
| STEC non-O157 | 0.911432 |
| commonly identified Salmonella | 0.490904 |
| food safety efforts | 0.510674 |
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| ground beef | 0.460028 |
| hemolytic uremic syndrome | 0.808058 |
| culture-independent diagnostic test | 0.503233 |
| Infections Program | 0.440752 |
| national health objectives | 0.436007 |
| culture-confirmed infections | 0.487879 |
| STEC O157 infections | 0.668646 |
| public health | 0.601967 |
| Salmonella serotypes Infantis | 0.532727 |
| Campylobacter | 0.466517 |
| STEC reports | 0.526466 |
| Incidence calculations | 0.486971 |
| Salmonella serotypes Javiana | 0.495366 |
| serotype Infantis infection | 0.440389 |
| food safety | 0.647305 |
| Salmonella enterica serotype | 0.529943 |
| Preliminary Incidence | 0.508269 |
| culture-confirmed bacterial infections | 0.504077 |
| Salmonella Typhimurium infections | 0.640217 |
| STEC O157 | 0.982534 |
| Diseases Active Surveillance | 0.503027 |
| incidence | 0.890341 |
| Active Surveillance Network | 0.498992 |
| Vibrio | 0.45039 |
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