| 716 |
Centers for Disease Control and Prevention |
Html |
en |
Tularemia - United States, 2001-2010 |
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. |
| Alternate Text | 0.528327 |
| Human Services | 0.550882 |
| public health practitioners | 0.536771 |
| human cases | 0.531914 |
| bacterial zoonosis | 0.520256 |
| average annual incidence | 0.688982 |
| direct contact | 0.522072 |
| South Central states | 0.638978 |
| Median age | 0.52145 |
| central U.S. states | 0.545026 |
| winter cases | 0.527546 |
| patients | 0.520524 |
| Tularemia outbreak | 0.616547 |
| regional lymphadenopathy | 0.567704 |
| glandular tularemia | 0.65053 |
| highest annual incidence | 0.634376 |
| individual cases | 0.546931 |
| high incidence rates | 0.534836 |
| annual incidence | 0.76424 |
| F. tularensis antigen | 0.609899 |
| preceding decade | 0.582332 |
| additional patient information | 0.601383 |
| laboratory confirmation | 0.555119 |
| median number | 0.524714 |
| western United States | 0.556717 |
|
| public health management | 0.517422 |
| United States | 0.730467 |
| urban-rural classification scheme | 0.604117 |
| age group | 0.553223 |
| CDC National Center | 0.524643 |
| causes oropharyngeal disease | 0.520341 |
| South Atlantic states | 0.55706 |
| National Notifiable Diseases | 0.616891 |
| ulceroglandular tularemia | 0.651015 |
| percutaneous inoculation | 0.519142 |
| health departments | 0.586809 |
| tularensis subspecies tularensis | 0.541401 |
| public health | 0.621807 |
| East South Central | 0.612217 |
| tularemia surveillance | 0.616961 |
| Notifiable Diseases Surveillance | 0.6131 |
| South Dakota | 0.691485 |
| Pacific states | 0.59119 |
| select agent | 0.517158 |
| local public health | 0.518069 |
| U.S. states | 0.549019 |
| tularemia cases | 0.963677 |
| F. tularensis | 0.788762 |
| New England states | 0.546407 |
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| 6084 |
Centers for Disease Control and Prevention |
Html |
en |
Methylcyclohexanol - 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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| 6501 |
Centers for Disease Control and Prevention |
Html |
en |
South Africa Map - Yellow Fever |
Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention. |
| ongoing outbreak | 0.237418 |
| World Health Organization | 0.287974 |
| yellow fever | 0.966818 |
| recent updates | 0.216979 |
| Download South America | 0.29736 |
| Map pdf version | 0.289211 |
| current map | 0.20586 |
| eastern Brazil | 0.232027 |
| Brazil travel notice | 0.324093 |
|
| yellow fever outbreak | 0.606157 |
| Working Group | 0.219684 |
| 2These countries | 0.203088 |
| animal reservoirs | 0.211102 |
| Geographic Risk | 0.217532 |
| risk areas | 0.210248 |
| yellow fever transmission | 0.662207 |
| health website | 0.213404 |
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| 6641 |
Centers for Disease Control and Prevention |
Html |
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Community Members Home Page |
Community Members |
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CLICK HERE |
| 7349 |
Centers for Disease Control and Prevention |
Html |
en |
Measles - Horn of Africa, 2010-2011 |
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. |
| refugees | 0.510992 |
| eventual global measles | 0.577656 |
| recent nationwide measles | 0.565078 |
| uniform high coverage | 0.509945 |
| Somalia | 0.625245 |
| Outbreak response immunization | 0.515032 |
| measles supplemental immunization | 0.558583 |
| measles elimination | 0.631483 |
| massive measles | 0.533309 |
| routine measles vaccination | 0.563838 |
| measles cases | 0.841277 |
| Nations High Commissioner | 0.539685 |
| measles incidence | 0.758667 |
| nationwide measles SIA | 0.691077 |
| 2-dose MCV coverage | 0.549604 |
| children | 0.566024 |
| measles vaccination strategies | 0.558767 |
| MCV1 coverage | 0.688761 |
| measles outbreaks | 0.562481 |
| measles elimination goals | 0.552516 |
| clinically confirmed measles | 0.565454 |
| measles mortality | 0.545102 |
| national measles CSR | 0.542722 |
| United Nations High | 0.534636 |
|
| large measles outbreaks | 0.559587 |
| Dadaab refugee camps | 0.516663 |
| World Health Organization | 0.594917 |
| global measles reduction | 0.546777 |
| sporadic measles cases | 0.576096 |
| annual measles incidence | 0.605125 |
| administrative coverage | 0.635309 |
| measles vaccination | 0.578421 |
| Kenya | 0.548253 |
| measles virus transmission | 0.607828 |
| population | 0.513405 |
| annual measles surveillance | 0.568727 |
| ongoing measles virus | 0.563766 |
| follow-up measles SIA | 0.561996 |
| EMR measles elimination | 0.618649 |
| measles elimination targets | 0.610105 |
| refugee camps | 0.77913 |
| Dollo Ado | 0.537745 |
| measles-containing vaccine | 0.525845 |
| measles ORI | 0.544632 |
| measles | 0.906689 |
| nationwide follow-up measles | 0.594734 |
| measles case-based surveillance | 0.566087 |
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| 7411 |
Centers for Disease Control and Prevention |
Html |
en |
Chemical Weapons Elimination - Fact Sheets and Publications |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program and serves as an important element in ensuring the safe destruction of chemical warfare material for protection of public health. |
| agents GA | 0.358686 |
| U.S. Chemical Weapons | 0.708348 |
| Interim Recommendations | 0.39353 |
| Revised Plan | 0.327108 |
| Incinerator air emissions | 0.453123 |
| Environmental Treatment Facility | 0.44924 |
| human health | 0.349392 |
| Disease Control | 0.785206 |
| Weapons Elimination Timeline | 0.52892 |
| Chemical Weapons Elimination | 0.941461 |
| Chemical Agent Disposal | 0.923729 |
| Newport Chemical Agent | 0.62691 |
| Technical Investigation Report | 0.440378 |
| Harvey Rogers | 0.326806 |
| Off-site Treatment | 0.431569 |
| Emergency room procedures | 0.482917 |
| case study | 0.331247 |
| breakdown products | 0.331001 |
| Safe disposal | 0.420591 |
| Environ Health. | 0.346704 |
| Sulfur Mustard Munitions | 0.591991 |
| acute mammalian toxicity | 0.438035 |
| Annual Report | 0.331642 |
| Public Health | 0.327537 |
| Warfare Agent Disposal | 0.542048 |
|
| inhalation exposure perspectives | 0.476767 |
| potential adverse effects | 0.719216 |
| Offsite Shipment | 0.329317 |
| Secondary Waste | 0.320033 |
| mustard agent | 0.410296 |
| Mumtaz M. Prediction | 0.448544 |
| Airborne Exposure Limits | 0.487107 |
| long-term exposure | 0.364557 |
| Fed Reg. | 0.656984 |
| QSAR methods | 0.337097 |
| U.S. Army Chemical | 0.498068 |
| Chemical Warfare Agents | 0.524745 |
| CDC Recommendations | 0.375128 |
| New Jersey | 0.328671 |
| chemical hazard emergencies | 0.538265 |
| U.S. Army Proposal | 0.453974 |
| Caustic VX Hydrolysate | 0.791991 |
| Tooele Chemical Agent | 0.504702 |
| Agent Disposal Facility | 0.806797 |
| Agent Disposal Facilities | 0.669191 |
| historical reference | 0.329231 |
| Final recommendations | 0.511367 |
| low doses | 0.344026 |
| sulfur mustard | 0.707143 |
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| 11437 |
Centers for Disease Control and Prevention |
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Disease Detective: Monique - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Operation Iraqi Freedom | 0.664872 |
| janitors | 0.520918 |
| impact fear | 0.590731 |
| everyday people | 0.588053 |
| lay people | 0.589147 |
| Nigerian | 0.518103 |
| sanitation workers | 0.585531 |
| big thing | 0.594067 |
| Ebola outbreak | 0.914235 |
| Operation Enduring Freedom | 0.664746 |
| limited healthcare | 0.586989 |
| hotel staff | 0.586434 |
| Zaire | 0.520619 |
| contact | 0.530744 |
| things | 0.530714 |
| understanding | 0.518057 |
| six-year stint | 0.601843 |
| personal protective equipment | 0.69272 |
| CDC-issued gear | 0.607115 |
| African nations | 0.601863 |
| CDC member | 0.595468 |
| Swahili | 0.519924 |
| Democratic Republic | 0.592176 |
| real heroes | 0.583393 |
| standard trunkful | 0.607171 |
|
| communications specialist | 0.590477 |
| unique mix | 0.603613 |
| proper way | 0.595239 |
| big continent | 0.594842 |
| Burundi | 0.522007 |
| stigma | 0.518069 |
| deadly virus | 0.586678 |
| community leaders | 0.585359 |
| Integrated Disease Surveillance | 0.65579 |
| typical health workers | 0.655148 |
| disease outbreaks | 0.586628 |
| Monique | 0.744881 |
| Response Program | 0.587209 |
| African culture | 0.594554 |
| technical skills | 0.606427 |
| preventive measures | 0.585534 |
| Rwanda | 0.579114 |
| heroic effort | 0.589293 |
| West Africa deployment | 0.670557 |
| biggest thing | 0.588873 |
| local people | 0.589191 |
| family | 0.529183 |
| right messages | 0.589611 |
| Ebola deployment | 0.662075 |
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| 15531 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Collaborative Study: Influenza Important Cause of Respiratory Hospitalizations Worldwide |
null |
| earlier study | 0.307299 |
| flu-associated hospitalization data | 0.387141 |
| influenza infection | 0.365989 |
| highest proportion | 0.330168 |
| influenza vaccination coverage | 0.48954 |
| severe influenza | 0.356199 |
| similar analysis | 0.293552 |
| pregnant women | 0.592199 |
| children | 0.807328 |
| young children | 0.408827 |
| new study | 0.306872 |
| flu hospitalizations | 0.486953 |
| impact | 0.235855 |
| countries | 0.317733 |
| particularly children | 0.316653 |
| GRIPP | 0.239344 |
| global partners | 0.317313 |
| possible influenza vaccination | 0.453033 |
| Flu Vaccine | 0.316189 |
| influenza disease burden | 0.463879 |
| working group | 0.288927 |
| Influenza Proportion Positive | 0.471984 |
| systematic literature review | 0.387782 |
| study | 0.473639 |
| Ongoing efforts | 0.287607 |
|
| influenza-associated respiratory hospitalizations | 0.591674 |
| global flu-associated hospitalizations | 0.586455 |
| respiratory illness | 0.330636 |
| age group | 0.401346 |
| systematic surveillance | 0.302974 |
| CDC authors | 0.314412 |
| group members | 0.302829 |
| numerical estimates | 0.310188 |
| flu-associated hospitalizations | 0.649156 |
| PLOS Medicine | 0.428614 |
| Southeast Asia | 0.297526 |
| different methodology | 0.296645 |
| earlier finding | 0.298157 |
| global respiratory hospitalizations | 0.73751 |
| journal PLOS Medicine | 0.424929 |
| evidence base | 0.293089 |
| respiratory hospitalizations | 0.991597 |
| influenza surveillance data | 0.486911 |
| global estimates | 0.316911 |
| Study authors | 0.313613 |
| protective benefit | 0.2896 |
| visit Children | 0.31749 |
| influenza-associated hospitalizations | 0.451782 |
| 31-year period | 0.304016 |
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| 16214 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: A Public Health Approach to Detect andControl Hypertension | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| hypertension data | 0.486746 |
| uncontrolled hypertension | 0.66488 |
| health information | 0.388586 |
| systolic blood pressure | 0.404153 |
| NorthShore hypertension criteria | 0.601623 |
| health care delivery | 0.399586 |
| diastolic blood pressure | 0.404119 |
| accurate blood pressure | 0.390849 |
| reliable blood pressure | 0.394191 |
| public health department | 0.392974 |
| health care providers | 0.432326 |
| blood pressure | 0.927576 |
| health care setting | 0.396129 |
| hypertension control | 0.598346 |
| patients | 0.390244 |
| hypertension prevalence | 0.554159 |
| hypertension diagnosis | 0.48436 |
| blood pressure control | 0.408059 |
| office blood pressure | 0.419553 |
| Hearts hypertension goal | 0.492446 |
| blood pressure goals | 0.388579 |
| NorthShore University Health | 0.398516 |
| newly diagnosed hypertension | 0.501463 |
| electronic health record | 0.384403 |
| hypertension prevalence rates | 0.506666 |
|
| busy health care | 0.386991 |
| untreated hypertension | 0.481635 |
| blood pressure goal | 0.460166 |
| blood pressure readings | 0.435985 |
| blood pressure measurement | 0.433098 |
| NorthShore Undiagnosed Hypertension | 0.530203 |
| adequately controlled hypertension | 0.489564 |
| health care | 0.566285 |
| public health | 0.488951 |
| U.S. residents | 0.386614 |
| health care systems | 0.432766 |
| health care resources | 0.409697 |
| default blood pressure | 0.413088 |
| blood pressure treatment | 0.393851 |
| enterprise-wide hypertension surveillance | 0.50653 |
| elevated blood pressure | 0.418248 |
| MedStar Health | 0.409647 |
| Chronic Disease Prevention | 0.387449 |
| average hypertension prevalence | 0.497491 |
| high blood pressure | 0.406215 |
| public health data | 0.3957 |
| primary care | 0.390777 |
| MedStar Health examples | 0.393865 |
| hypertension | 0.832501 |
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| 16346 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Home Health Care |
null |
| National Study | 0.588784 |
| PDF | 0.364405 |
| Long-Term Care Providers | 0.978813 |
| United States | 0.592335 |
|
| MB | 0.407128 |
| Data | 0.366435 |
| Services Users | 0.594703 |
| Source | 0.368194 |
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