| 4517 |
Centers for Disease Control and Prevention |
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Types of Influenza Viruses |
Three Types of Influenza Viruses - CDC |
| influenza | 0.936643 |
| Preventing Seasonal Flu | 0.370178 |
| different hemagglutinin subtypes | 0.393952 |
| United States | 0.294915 |
| different influenza | 0.529198 |
| ILI | 0.218998 |
| mild respiratory illness | 0.383161 |
| winter | 0.217219 |
| Memorandum | 0.216622 |
| influenza-like illness | 0.284513 |
| H1N1 virus | 0.303538 |
| spring | 0.215232 |
| nomenclature | 0.215444 |
| flu vaccines | 0.314398 |
| proteins | 0.215079 |
| lineages | 0.231048 |
| KB | 0.215775 |
| Influenza type | 0.529424 |
| Current subtypes | 0.326035 |
| infections | 0.216378 |
| influenza C viruses | 0.609565 |
| new influenza | 0.491651 |
| convention | 0.229965 |
| influenza vaccine | 0.493283 |
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| Influenza B viruses | 0.623686 |
| World Health Organization | 0.343307 |
| disease | 0.21723 |
| surface | 0.215825 |
| influenza pandemic | 0.600724 |
| emergence | 0.217714 |
| Influenza A viruses | 0.722665 |
| seasonal flu vaccine | 0.404153 |
| D. Human influenza | 0.609638 |
| flu viruses | 0.440696 |
| cattle | 0.216156 |
| people | 0.268107 |
| influenza-like symptoms | 0.274761 |
| N11 | 0.21607 |
| new virus | 0.301344 |
| following components | 0.27815 |
| non-flu viruses | 0.40894 |
| influenza viruses | 0.790486 |
| different neuraminidase subtypes | 0.393729 |
| seasonal epidemics | 0.303463 |
| flu season | 0.30972 |
| H1N1 Flu website | 0.391024 |
| time | 0.215017 |
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FluVaxView: Health Care Personnel Flu Vaccination 2012 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2010-11, 2011-12, and 2012-13 flu seasons CDC |
| vaccination campaigns | 0.480181 |
| early flu season | 0.435555 |
| Page | 0.362425 |
| Clinical care groups | 0.357577 |
| vaccination campaigns programs | 0.460806 |
| common main reason | 0.400275 |
| Internet panel sample | 0.361016 |
| internet panel survey | 0.402869 |
| vaccination coverage | 0.950864 |
| main reason | 0.479967 |
| occupation vaccination coverage | 0.488972 |
| vaccination coverage levels | 0.479889 |
| administrative/non-clinical support staff | 0.407005 |
| health care personnel | 0.409441 |
| internet panel surveys | 0.384345 |
| HCP vaccination coverage | 0.653167 |
| follow-up survey | 0.35836 |
| HCP | 0.729066 |
| current vaccination efforts | 0.458383 |
| CDC Flu | 0.392811 |
| unvaccinated HCP | 0.497422 |
| national flu vaccination | 0.528894 |
| flu vaccination coverage | 0.938983 |
| vaccination coverage estimates | 0.497475 |
| Influenza vaccination coverage | 0.472625 |
|
| previous flu seasons | 0.410422 |
| internet panel | 0.524879 |
| nurse practitioners | 0.386592 |
| HCP overall working | 0.480121 |
| U.S. HCP | 0.450161 |
| end-of-season flu vaccination | 0.528605 |
| Internet survey panels | 0.35954 |
| annual flu vaccination | 0.548722 |
| work settings | 0.39758 |
| National Influenza Vaccination | 0.489814 |
| current flu season | 0.421539 |
| physician offices/ambulatory care | 0.393352 |
| long-term care facilities | 0.523346 |
| flu season HCP | 0.571713 |
| high vaccination levels | 0.463489 |
| overall vaccination coverage | 0.489544 |
| HCP groups | 0.45451 |
| influenza vaccination | 0.511046 |
| vaccination results | 0.429777 |
| vaccination history | 0.435769 |
| 2012-13 flu season | 0.419567 |
| offices/ambulatory care settings | 0.395418 |
| volunteer HCP | 0.44543 |
| physician assistants | 0.386558 |
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Centers for Disease Control and Prevention |
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Malaria - About Malaria - Biology |
Education and information regarding malaria and the biology of the disease including life cycle, mosquitoes, parasites and human factors. |
| red blood cells | 0.530823 |
| motile | 0.326826 |
| exo-erythrocytic schizogony | 0.406565 |
| release sporozoites | 0.40359 |
| malaria life cycle | 0.529178 |
| rupture | 0.355935 |
| schizonts | 0.341242 |
| Biologic characteristics | 0.410015 |
| successive broods | 0.43977 |
| asexual multiplication | 0.427638 |
| blood stage parasites | 0.982305 |
| release merozoites | 0.404895 |
| daughter parasites | 0.565067 |
| blood meal | 0.745807 |
| gametocytes | 0.365926 |
| hosts | 0.34569 |
| relapses | 0.328863 |
| sexual erythrocytic stages | 0.489747 |
| malaria parasite life | 0.547203 |
| new human host | 0.489799 |
| clinical manifestations | 0.408622 |
| certain forms | 0.41756 |
| malaria-infected female Anopheles | 0.553094 |
| human infection | 0.414362 |
| ring stage | 0.406697 |
|
| dormant stage | 0.413706 |
| zygotes | 0.334927 |
| different cycle | 0.417006 |
| erythrocytic schizogony | 0.402562 |
| P. vivax | 0.416967 |
| larger scale | 0.403994 |
| behavioral traits | 0.401995 |
| erythrocytes | 0.328522 |
| midgut wall | 0.411476 |
| human host | 0.612956 |
| vector | 0.344725 |
| sporozoites | 0.4353 |
| bloodstream | 0.325932 |
| disease | 0.342786 |
| female Anopheles mosquito | 0.716928 |
| Anopheles mosquito | 0.815452 |
| salivary glands | 0.549994 |
| sporogonic cycle | 0.403048 |
| natural ecology | 0.431048 |
| female Anopheles mosquitoes | 0.595504 |
| initial replication | 0.407876 |
| oocysts | 0.354677 |
| liver cells | 0.678516 |
| humans | 0.344137 |
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Centers for Disease Control and Prevention |
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Health Alert Network | HAN Archive - 00351 |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| H3N2v virus infection | 0.789689 |
| health care provider | 0.399806 |
| public health practitioners | 0.307903 |
| influenza A viruses | 0.448005 |
| H1N1 pandemic virus | 0.361782 |
| Health Alert Network | 0.476361 |
| influenza illness onset | 0.486105 |
| state health departments | 0.311154 |
| influenza A virus | 0.473433 |
| Variant Virus Infection | 0.359728 |
| agricultural fair season | 0.434262 |
| seasonal influenza | 0.426705 |
| Network Health Advisory | 0.33624 |
| public health officials | 0.309726 |
| influenza surveillance | 0.488269 |
| state public health | 0.558256 |
| Enhanced Influenza Surveillance | 0.482893 |
| influenza | 0.985475 |
| influenza diagnostic test | 0.487623 |
| CDC Health Alert | 0.360193 |
| recent swine contact | 0.327348 |
| United States | 0.301723 |
| novel influenza | 0.519202 |
| H3N2v cases | 0.327424 |
|
| H3N2 variant virus | 0.393525 |
| local health department | 0.304795 |
| Health Care Settings | 0.286463 |
| influenza complications2 | 0.486251 |
| close contact | 0.350666 |
| public health professionals | 0.307001 |
| variant virus | 0.434699 |
| local health departments | 0.425622 |
| H3N2v case definitions | 0.498469 |
| Variant Virus Cases | 0.349876 |
| agricultural fairs | 0.298952 |
| cases | 0.374703 |
| H3N2v viruses | 0.303046 |
| Interim Guidance | 0.350056 |
| influenza complications | 0.395354 |
| antiviral treatment | 0.340558 |
| limited person-to-person spread | 0.294512 |
| influenza viruses | 0.626582 |
| Suspected Influenza | 0.406566 |
| H3N2v-related HAN Health | 0.335822 |
| rapid influenza | 0.452118 |
| public health laboratory | 0.449577 |
| influenza diagnostic tests | 0.489097 |
| H3N2v virus infections | 0.381185 |
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Centers for Disease Control and Prevention |
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HAN Archive - 00338 - Multistate Outbreak of Fungal Infections |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| Clinicians Consultation Network | 0.488779 |
| CDC | 0.859249 |
| MRI testing | 0.338416 |
| symptomatic area | 0.588549 |
| epidural injection | 0.322029 |
| spinal injection | 0.355189 |
| contaminated MPA | 0.382628 |
| persistent baseline pain | 0.312288 |
| Health Alert Network | 0.536145 |
| Contaminated Steroid Products | 0.294003 |
| fungal infection | 0.47701 |
| new information | 0.331668 |
| state health departments | 0.289891 |
| assertive clinical evaluation | 0.335649 |
| newly reported cases | 0.283784 |
| injection site | 0.444359 |
| patients | 0.972558 |
| paraspinal infections | 0.32061 |
| CDC HAN-00335-2012-11-20-ADV-N | 0.357291 |
| epidural abscess | 0.799402 |
| implicated MPA | 0.427838 |
| methylprednisolone acetate | 0.327226 |
| New England Compounding | 0.346804 |
| paraspinal injections | 0.332724 |
|
| state public health | 0.31796 |
| multistate outbreak | 0.346032 |
| CDC Health Alert | 0.497805 |
| infection | 0.600834 |
| baseline symptoms | 0.428458 |
| paraspinal infection | 0.556047 |
| MRI | 0.408554 |
| recent Magnetic Resonance | 0.312321 |
| epidural steroid injections | 0.345082 |
| abnormal MRI findings | 0.334791 |
| enhances health decisions | 0.288307 |
| critical health issues | 0.294089 |
| state health department | 0.309592 |
| paraspinal injection | 0.77023 |
| health departments | 0.303709 |
| previous evidence | 0.306513 |
| up-to-date information online | 0.307005 |
| ongoing multistate outbreak | 0.328103 |
| paraspinal localized infection | 0.439178 |
| new preliminary data | 0.333894 |
| Parameningeal Infections Associated | 0.292651 |
| NECC | 0.42967 |
| vertebral osteomyelitis | 0.463983 |
| baseline chronic pain | 0.488264 |
|
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Centers for Disease Control and Prevention |
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How U.S. Clinical Laboratories Can Safely Manage Specimensfrom Persons Under Investigation for Ebola Virus Disease | EbolaHemorrhagic Fever | CDC |
null |
| risk assessment | 0.630574 |
| Ebola patient testing | 0.641485 |
| CDC | 0.628999 |
| Ebola virus test | 0.653456 |
| laboratory personnel | 0.589952 |
| ebola virus | 0.904752 |
| ebola virus testing | 0.692507 |
| Ebola virus testing2 | 0.647458 |
| state health departments | 0.589472 |
| definitive Ebola virus | 0.645277 |
| infectious Ebola virus | 0.601707 |
| commercial Ebola virus | 0.647512 |
| Morb Mortal Wkly | 0.585094 |
| Ebola diagnosis | 0.581885 |
| clinical laboratory testing | 0.578026 |
| ebola virus exposure | 0.666641 |
| CDC Ebola response | 0.627789 |
| patient care | 0.61086 |
| clinical laboratories | 0.665441 |
| Ebola Treatment Centers | 0.594708 |
| Ebola Patients | 0.579166 |
| confirmatory Ebola virus | 0.621748 |
| laboratory | 0.684139 |
| Ebola Assessment Hospitals | 0.634189 |
| bloodborne pathogens | 0.588832 |
|
| patient specimens | 0.697445 |
| Preparing Ebola Assessment | 0.601344 |
| testing patient specimens | 0.601233 |
| Laboratory Standards Institute | 0.583358 |
| PPE | 0.625389 |
| testing respiratory specimens | 0.578314 |
| United States | 0.61704 |
| Ebola Treatment Hospitals | 0.607449 |
| Ebola virus infection | 0.603148 |
| viable Ebola virus | 0.598982 |
| non-enveloped viruses | 0.589333 |
| interim guidance | 0.587192 |
| MMWR Morb Mortal | 0.584624 |
| Ebola Virus Disease | 0.741988 |
| state health | 0.591466 |
| Mortal Wkly Rep. | 0.58352 |
| public health | 0.585452 |
| Contain Ebola Virus | 0.598374 |
| appropriate ppe | 0.601893 |
| hospital care laboratory | 0.577694 |
| Ebola testing | 0.607232 |
| positive Ebola test | 0.6109 |
| u.s. hospitals | 0.601764 |
| laboratory testing | 0.62393 |
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Centers for Disease Control and Prevention |
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World TB Day - March 24, 2015 |
Each year, World TB Day is observed on March 24. This annual event commemorates the date in 1882 when Robert Koch announced his discovery of Mycobacterium tuberculosis, the bacterium that causes tuberculosis (TB). World TB Day provides an opportunity to raise awareness about TB-related problems and solutions and to support worldwide TB control efforts. |
| date | 0.227731 |
| latent TB infection | 0.643313 |
| CDC | 0.306709 |
| foreign-born persons | 0.290492 |
| endorsement | 0.240518 |
| greater incidence | 0.287462 |
| Human Services | 0.352671 |
| U.S. Department | 0.349896 |
| MMWR HTML versions | 0.341975 |
| electronic PDF version | 0.336511 |
| TB-related problems | 0.292193 |
| state TB programs | 0.665645 |
| Additional information | 0.280117 |
| TB elimination activities | 0.642929 |
| Robert Koch | 0.2942 |
| annual event | 0.293381 |
| Contact GPO | 0.292786 |
| Health officials | 0.283544 |
| opportunity | 0.214991 |
| commercial sources | 0.279318 |
| ethnic minorities | 0.280847 |
| current prices | 0.276275 |
| original paper copy | 0.340479 |
| high risk | 0.280255 |
|
| new cases | 0.283543 |
| United States | 0.360137 |
| U.S. Government Printing | 0.343582 |
| original MMWR paper | 0.339255 |
| educational awareness | 0.286209 |
| TB disease | 0.574517 |
| Superintendent | 0.215065 |
| MMWR readers | 0.281422 |
| character translation | 0.275441 |
| total number | 0.28269 |
| World TB | 0.803465 |
| format errors | 0.276048 |
| worldwide TB control | 0.703393 |
| TB cases | 0.584608 |
| typeset documents | 0.279407 |
| trade names | 0.279377 |
| official text | 0.274513 |
| TB | 0.907137 |
| non-CDC sites | 0.278011 |
| Mycobacterium tuberculosis | 0.306014 |
| smallest decline | 0.288931 |
| discovery | 0.215123 |
| organizations | 0.226462 |
| electronic conversions | 0.273913 |
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Centers for Disease Control and Prevention |
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Get Smart About Antibiotics | Adult Treatment Recommendations |
Antibiotic prescribing guidelines for adults in outpatient settings are used to ensure appropriate treatment of common illnesses and improve patient outcomes.
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Centers for Disease Control and Prevention |
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Global Sexual Violence | CDC Features |
Prevent global sexual violence. |
| CDC | 0.356155 |
| Mortality Weekly Report | 0.353194 |
| Cambodia | 0.237914 |
| mental health | 0.285186 |
| drug addiction | 0.286468 |
| Children Survey | 0.292792 |
| study details | 0.284488 |
| VACS website | 0.315534 |
| necessary next step | 0.285533 |
| social services | 0.284525 |
| host countries | 0.381742 |
| poor social relations | 0.359121 |
| global public-private partnership | 0.37669 |
| middle-income countries | 0.318442 |
| Children Surveys | 0.305525 |
| emotional violence | 0.44501 |
| males | 0.262433 |
| Violence Prevention | 0.421536 |
| lifetime childhood | 0.297622 |
| UNICEF support | 0.2919 |
| VACS data | 0.319893 |
| childhood sexual violence | 0.817032 |
| prevention strategies | 0.379373 |
| shadows | 0.232751 |
|
| disease prevention strategies | 0.36219 |
| research ofthe programs | 0.35482 |
| global sexual violence | 0.577542 |
| United Nations Children | 0.385741 |
| sexually transmitted infections | 0.36382 |
| Country-specific prevention | 0.291617 |
| heart disease | 0.287787 |
| victim | 0.235113 |
| low self-esteem | 0.287552 |
| important component | 0.290717 |
| sexual violence | 0.974015 |
| legal/security aid | 0.291454 |
| females | 0.281574 |
| response programs | 0.286413 |
| lowest rates | 0.293394 |
| highest rates | 0.289937 |
| adverse health consequences | 0.358839 |
| TfG | 0.259592 |
| Recent data | 0.299957 |
| evidence-based programs | 0.284887 |
| Swaziland | 0.244387 |
| Zimbabwe | 0.237591 |
| information | 0.23201 |
| justice systems | 0.286268 |
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Centers for Disease Control and Prevention |
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Nutrition Standards for Food Service Guidelines for FoodsServed or Sold in Municipal Government Buildings or Worksites,United States, 2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| general public | 0.507473 |
| healthier food pricing | 0.492698 |
| racial/ethnic composition | 0.481088 |
| military nutrition standards | 0.500348 |
| Los Angeles County | 0.498934 |
| non-Hispanic white | 0.483636 |
| local government | 0.604081 |
| free drinking water | 0.518144 |
| public school district | 0.475878 |
| large municipalities | 0.516347 |
| local nutrition standards | 0.508877 |
| poverty prevalence | 0.552017 |
| New York City | 0.525187 |
| pricing healthier foods | 0.494121 |
| healthier food | 0.508664 |
| Disease Control | 0.474195 |
| sustainability guidelines | 0.476342 |
| obesity prevention | 0.470844 |
| local governments | 0.470012 |
| municipal governments | 0.543797 |
| common nutrition topics | 0.478257 |
| local government employees | 0.472417 |
| healthier foods | 0.713588 |
| beverages | 0.487859 |
| nutrition standards | 0.995793 |
|
| median educational attainment | 0.507647 |
| healthy nutrition standards | 0.49596 |
| healthier food sales | 0.471432 |
| population size | 0.588485 |
| FSG nutrition standards | 0.629075 |
| pricing incentives | 0.538344 |
| nutrition policy | 0.477366 |
| local government buildings | 0.539688 |
| government nutrition standards | 0.541448 |
| local health policies | 0.482322 |
| United States | 0.56355 |
| local government nutrition | 0.489103 |
| educational attainment | 0.517962 |
| food pricing incentives | 0.473149 |
| policy set standards | 0.493109 |
| local government actions | 0.487659 |
| public health | 0.504131 |
| rural–urban status | 0.526892 |
| American Community Survey | 0.470397 |
| government employees | 0.510629 |
| municipalities | 0.659884 |
| physical activity | 0.478752 |
| food service guidelines | 0.480708 |
| Public School Nutrition | 0.470053 |
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