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Combined Use of Inactivated and Oral Poliovirus Vaccines inRefugee Camps and Surrounding Communities - Kenya, December2013 |
Mohamed A Sheikh, MD1, Frederick Makokha2, M. Abdullahi Hussein, MD2, Gedi Mohamed, MD3, Ondrej Mach, MD4, Kabir Humayun, MD4, Samuel Okiror, MD5, Leila Abrar, MPH6, Orkhan Nasibov, MD7, John Burton, MD7, Ahmed Unshur8, Kathleen Wannemuehler, PhD9, Concepcion F. Estivariz, MD9 (Author affiliations at end of text). |
| Somali refugee camps | 0.712654 |
| vaccine vial monitor§ | 0.704647 |
| poliovirus transmission | 0.631592 |
| paralytic polio cases | 0.690635 |
| future campaigns | 0.632996 |
| inactivated polio vaccine | 0.674215 |
| low campaign awareness | 0.628682 |
| OPV-only campaign | 0.632817 |
| IPV | 0.834656 |
| OPV | 0.825472 |
| children | 0.696529 |
| Kenya Ministry | 0.633472 |
| vaccine vial monitor | 0.752126 |
| high coverage | 0.634569 |
| Kenya-Somalia border | 0.627409 |
| World Health Organization | 0.664458 |
| UNICEF Kenya office | 0.624578 |
| subnational OPV campaigns | 0.673849 |
| health-care worker | 0.629276 |
| vaccine effectiveness | 0.627487 |
| mass campaign | 0.641048 |
| campaign | 0.851898 |
| ipv/opv campaign | 0.66957 |
| poliovirus vaccine campaign | 0.715095 |
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| Vaccine cost | 0.645931 |
| vaccination | 0.628873 |
| IPV vials | 0.724625 |
| community-based IPV/OPV campaign | 0.626241 |
| oral poliovirus vaccine | 0.802991 |
| IPV/OPV Campaign Implementation | 0.650515 |
| vaccine carriers | 0.71915 |
| wild poliovirus | 0.627911 |
| residual WPV transmission | 0.670207 |
| subsequent OPV campaign | 0.668487 |
| Nations High Commissioner | 0.663909 |
| Dadaab Refugee Operations | 0.710663 |
| population immunity | 0.771822 |
| vaccine damage | 0.627239 |
| vaccine procurement | 0.649825 |
| inactivated poliovirus vaccine | 0.672103 |
| major Kenya cities | 0.625675 |
| subsequent OPV-only campaign | 0.63166 |
| Kenya | 0.716771 |
| vaccine vial monitors | 0.981057 |
| OPV-only campaigns | 0.656449 |
| population immunity levels | 0.760742 |
| injectable polio vaccine | 0.705655 |
| refugee camps | 0.857262 |
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Coccidioidomycosis Among Cast and Crew Members at an OutdoorTelevision Filming Event - California, 2012 |
Jason A. Wilken, PhD1,2, Patricia Marquez, MPH3, Dawn Terashita, MD3, Jennifer McNary, MPH1, Gayle Windham, PhD1, Barbara Materna, PhD1 (Author affiliations at end of text). |
| 2-week history | 0.458723 |
| site manager | 0.607892 |
| Los Angeles County | 0.749063 |
| CDPH | 0.640487 |
| occupational coccidioidomycosis surveillance | 0.580702 |
| possible work-associated coccidioidomycosis | 0.763771 |
| Coccidioides exposure onsite | 0.645882 |
| outbreak investigation | 0.487422 |
| probable cases | 0.472315 |
| employer | 0.515803 |
| laboratory-confirmed illness | 0.472038 |
| LACDPH coccidioidomycosis surveillance | 0.614932 |
| television series episode | 0.467108 |
| mining company | 0.447705 |
| substantial soil-disruptive work | 0.456319 |
| Work-Related Coccidioidomycosis | 0.509971 |
| patients | 0.506092 |
| coccidioidomycosis surveillance | 0.635783 |
| coccidioidomycosis diagnoses | 0.641294 |
| CDPH-provided occupational surveillance | 0.479446 |
| emergency department | 0.44831 |
| Illness Prevention Program | 0.461568 |
| Angeles County Department | 0.476879 |
| Coccidioidomycosis outbreaks | 0.505979 |
| California Department | 0.468425 |
|
| social media searches | 0.462139 |
| outdoor filming event | 0.615605 |
| erythema multiforme rash | 0.452584 |
| site owner | 0.530038 |
| work-associated coccidioidomycosis | 0.846371 |
| Ventura County | 0.467182 |
| clinically compatible illness | 0.468791 |
| patient | 0.461063 |
| Epidemiologists coccidioidomycosis surveillance | 0.601005 |
| Public health professionals | 0.468066 |
| social media | 0.561158 |
| public health | 0.540197 |
| illness | 0.480513 |
| infectious disease surveillance | 0.466935 |
| medical record review | 0.457235 |
| soil-disrupting activities | 0.619197 |
| Work-associated Coccidioides infections | 0.498362 |
| Angeles County residents | 0.473364 |
| original letter | 0.456722 |
| potential risk | 0.458696 |
| filming event | 0.960751 |
| occupational health providers | 0.451625 |
| soil-disruptive work | 0.600566 |
| valley fever | 0.461837 |
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en |
Mobile Applications |
CDC Mobile Application. Download it free from the app store today. |
| iPhone | 0.428996 |
| greater variety | 0.544013 |
| smartphone | 0.435939 |
| Android user | 0.588807 |
| Windows version | 0.534092 |
| sources | 0.423908 |
| health news | 0.53772 |
| CDC app | 0.704292 |
| videos | 0.424444 |
| health information | 0.709421 |
| iOS | 0.488729 |
| important health articles | 0.624755 |
| content | 0.424484 |
| switch | 0.425613 |
| button | 0.424822 |
| CDC Mobile application | 0.945221 |
| Windows tablet users | 0.667354 |
| app home screen | 0.778174 |
| Windows tablet | 0.717322 |
| text | 0.423213 |
| CDC Mobile app | 0.815898 |
| interesting articles | 0.531209 |
| social media | 0.651418 |
|
| flip | 0.429481 |
| email | 0.423197 |
| timely updates | 0.546799 |
| tap | 0.42294 |
| disease | 0.444357 |
| stories | 0.42446 |
| great CDC articles | 0.694285 |
| devices | 0.426952 |
| online ensures | 0.544399 |
| popular journals | 0.521676 |
| Automatic updates | 0.534639 |
| Android users | 0.582354 |
| easy access | 0.526557 |
| fingertips | 0.432447 |
| friends | 0.423118 |
| vital health information | 0.66735 |
| timely health information | 0.665485 |
| podcasts | 0.426169 |
| Direct links | 0.53668 |
| current outbreaks | 0.530674 |
| family | 0.423103 |
| weekly MMWR articles | 0.643987 |
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Centers for Disease Control and Prevention |
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Extreme Heat and Your Health: Heat and the Low Income |
Extreme Heat Media Toolkit |
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CLICK HERE |
| 9025 |
Centers for Disease Control and Prevention |
Video |
en |
Secondhand Smoke: Triumphs and Tragedies |
2006 SGR - Secondhand Smoke: Triumphs and Tragedies DVD - Includes Closed Captioned Feature for the Hearing Impaired
Secondhand Smoke: Triumphs and Tragedies is a 10-minute video that puts a human face on the issue by telling the stories of six individuals whose health was affected by secondhand smoke and/or who led local efforts to make workplaces and public places smoke free. The video also tells the stories of three communities that successfully implemented smoke-free policies. The video won the Gold Aurora and Silver Telly awards.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html |
| Triumphs | 0.745644 |
| Tragedies | 0.74729 |
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Influenza Vaccine Advances |
Influenza Vaccine Advances - CDC |
| best public health | 0.406831 |
| Human Services | 0.279844 |
| flu vaccine production | 0.719704 |
| longer term goal | 0.376721 |
| U.S. Department | 0.280036 |
| seasonal influenza viruses | 0.61003 |
| flu vaccines | 0.62204 |
| Disease Control | 0.267879 |
| novel influenza viruses | 0.612145 |
| federal government | 0.283099 |
| pandemic influenza preparedness | 0.696754 |
| good immune response | 0.391471 |
| National Institutes | 0.262733 |
| molecular detection | 0.260841 |
| influenza vaccine technologies | 0.945344 |
| Biomedical Advanced Research | 0.428346 |
| vaccine effectiveness | 0.556565 |
| medical research agency | 0.390867 |
| private sector | 0.273231 |
| vaccine supply | 0.542931 |
| broad inter-agency partnership | 0.392044 |
| genetics technologies | 0.259129 |
| advanced development | 0.403929 |
| Collaborative efforts | 0.268978 |
| universal flu vaccine | 0.882606 |
|
| United States | 0.283596 |
| Drug Administration | 0.267482 |
| primary role | 0.266756 |
| flu vaccine | 0.898092 |
| federal regulatory agency | 0.393114 |
| eventual development | 0.266937 |
| biological products | 0.256937 |
| inter-agency government effort | 0.443044 |
| CDC’s Influenza | 0.562606 |
| universal vaccine | 0.45523 |
| influenza pandemic preparedness | 0.704772 |
| vaccine viruses | 0.671703 |
| longer-lasting protection | 0.260756 |
| CDC monitors | 0.33198 |
| influenza vaccines | 0.876921 |
| non-pharmaceutical countermeasures | 0.299249 |
| medical devices | 0.258001 |
| influenza viruses | 0.687137 |
| better influenza vaccines | 0.706392 |
| long-lasting immunity | 0.26318 |
| Development Authority | 0.293095 |
| better vaccines | 0.40889 |
| influenza vaccine technology | 0.938214 |
| single vaccine | 0.470199 |
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MMWR News Synopsis for November 20, 2014 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| vaccination platforms | 0.347484 |
| public health issues | 0.458303 |
| new vaccines | 0.347685 |
| incompletely vaccinated children | 0.488767 |
| global dracunculiasis eradication | 0.820081 |
| private health insurance | 0.490018 |
| blood sugar control | 0.470991 |
| global immunization coverage | 0.487908 |
| Health care providers | 0.512976 |
| newly diagnosed diabetes | 0.945301 |
| privately insured population | 0.486556 |
| South Sudan | 0.500152 |
| immunization platforms | 0.361431 |
| health care costs | 0.483445 |
| Health system level | 0.362344 |
| WPV cases | 0.351358 |
| individual-level interventions | 0.361612 |
| severe complications | 0.345669 |
| additional vaccines | 0.345067 |
| polio vaccine coverage | 0.708836 |
| endemic countries | 0.488084 |
| DSMT participation rates | 0.477644 |
| final steps | 0.461975 |
| small outbreak | 0.344621 |
| immunization services | 0.360425 |
|
| polio eradication | 0.544689 |
| endemic areas | 0.359606 |
| different population subgroups | 0.469928 |
| dracunculiasis cases | 0.431247 |
| wild poliovirus | 0.436654 |
| premature death | 0.352255 |
| diabetes care | 0.437469 |
| vaccination programs | 0.350076 |
| lowest annual total | 0.472996 |
| national program innovations | 0.669282 |
| Nigeria | 0.382404 |
| Dracunculus medinensis | 0.362516 |
| vaccination schedules | 0.343381 |
| hard-to-reach communities | 0.490176 |
| cases | 0.43989 |
| continued national program | 0.442029 |
| polio-free Africa | 0.461436 |
| program operations | 0.343623 |
| diabetes complications | 0.416502 |
| World Health Assembly | 0.481653 |
| behavioral change strategies | 0.467068 |
| healthcare provider | 0.363211 |
| Diabetes Self-Management | 0.442105 |
| vaccine-preventable diseases | 0.495676 |
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Long-Term Care Toolkit: Available Tools for Increasing Influenza Vaccination among Health Care Personnel in Long-term Settings |
Increasing Influenza Vaccination among Health Care Personnel in Long-term Care Settings - CDC |
| Influenza vaccination declination | 0.580128 |
| Influenza Outbreak Management | 0.521641 |
| health care disparities | 0.423636 |
| Veterans Health Administration | 0.432814 |
| seasonal influenza vaccination | 0.669238 |
| Health Care Associated | 0.445849 |
| Provider/Facility Influenza Immunization | 0.593141 |
| Long-term Care Influenza | 0.570979 |
| Disease Control | 0.843566 |
| Influenza Immunization Toolkit | 0.59172 |
| Influenza Vaccination Form | 0.635407 |
| Health Care Worker | 0.434895 |
| Influenza Vaccination Resources | 0.621579 |
| health care personnel | 0.558345 |
| influenza illness | 0.506369 |
| influenza vaccine | 0.685745 |
| seasonal influenza | 0.761791 |
| Health Care Workers | 0.472293 |
| influenza surveillance | 0.492441 |
| influenza vaccine information | 0.581506 |
| Influenza Vaccination Information | 0.621748 |
| health care settings | 0.44402 |
| health care organizations | 0.465932 |
| Health Care Provider/Facility | 0.459054 |
| influenza vaccine coverage | 0.573028 |
|
| Annual Influenza Vaccine | 0.54344 |
| Promote Seasonal Influenza | 0.53236 |
| flu vaccination campaign | 0.440461 |
| influenza outbreaks | 0.494686 |
| Health Care Providers | 0.445738 |
| influenza vaccination program | 0.57483 |
| successful influenza prevention | 0.551875 |
| KB | 0.427025 |
| Care Provider/Facility Influenza | 0.600383 |
| Influenza fact sheets | 0.524483 |
| National Influenza Vaccination | 0.582806 |
| health care | 0.896131 |
| influenza infection control | 0.535307 |
| linguistically appropriate services | 0.451189 |
| Influenza Vaccine Myths | 0.589996 |
| Seasonal Flu Information | 0.432978 |
| Seasonal Flu | 0.433107 |
| Immunization Action Coalition | 0.505752 |
| influenza vaccines | 0.507517 |
| Influenza Free Resources | 0.560682 |
| Seasonal Influenza Manual | 0.549593 |
| influenza vaccination rates | 0.578414 |
| influenza vaccination | 0.963333 |
| Seasonal Influenza Campaign | 0.549894 |
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Notes from the Field: Shigellosis Outbreak Among Men WhoHave Sex with Men and Homeless Persons - Oregon, 2015-2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| multistate outbreak | 0.487308 |
| 1Epidemic Intelligence Service | 0.484259 |
| Shigella cases | 0.533481 |
| electronic medical records | 0.490994 |
| United States | 0.50457 |
| high-income countries | 0.505984 |
| original MMWR paper | 0.486322 |
| Shigella sonnei infections | 0.630204 |
| Human Services | 0.511381 |
| S. sonnei infections | 0.539691 |
| homeless patients | 0.521954 |
| fecal-oral route | 0.449859 |
| outbreak investigation | 0.576562 |
| U.S. Department | 0.478852 |
| 4Washington County Department | 0.485834 |
| Shigella infections | 0.760625 |
| homeless community | 0.517285 |
| Public Health Department | 0.490797 |
| electronic PDF version | 0.484015 |
| epidemiologic links | 0.457375 |
| incubation period | 0.450585 |
| homeless outreach workers | 0.562768 |
| Portland metropolitan area | 0.503983 |
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| Oregon Health Authority | 0.488242 |
| outbreak strain | 0.484167 |
| indistinguishable PFGE patterns | 0.504204 |
| first-line therapy | 0.451791 |
| routine Shigella questionnaires | 0.558773 |
| specific pulsed-field gel | 0.50351 |
| risk factors | 0.490745 |
| common cause | 0.4529 |
| volunteer work | 0.45139 |
| MSM | 0.658663 |
| Shigella patients | 0.528952 |
| Shigella infection | 0.522312 |
| 2Public Health Division | 0.489111 |
| Portland area | 0.455612 |
| affected persons | 0.478122 |
| homeless persons experience | 0.574763 |
| inadequate access | 0.50053 |
| Alternative data collection | 0.491371 |
| homeless persons | 0.950714 |
| human immunodeficiency virus | 0.486157 |
| bacterial gastroenteritis | 0.455507 |
| low-income countries | 0.536919 |
| outbreak control | 0.479418 |
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Get Smart | Get Smart About Antibiotics Week |
Learn about Get Smart About Antibiotics Week's topics - overview, partners, promotional materials, educational materials, activities and events
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CLICK HERE |