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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 |
|
| 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 |
Channels - Health Communication |
Gateway to Health Communication - Channels |
| Interactive Health Communication | 0.610343 |
| social marketing campaign | 0.634841 |
| Online resource | 0.473424 |
| best outreach strategy | 0.594858 |
| recreational safety helmets | 0.569013 |
| health information | 0.943348 |
| distinct channels | 0.478035 |
| Government Technology | 0.442038 |
| science-based health information | 0.676064 |
| information age | 0.469252 |
| health behaviors | 0.490593 |
| sun-protection products | 0.449917 |
| Preventive Services Task | 0.578329 |
| numerous channels | 0.497235 |
| Online U.S. News | 0.610554 |
| U.S. News Archives | 0.777843 |
| nicotine replacement therapy | 0.562183 |
| Media Relations | 0.463567 |
| World Usability | 0.445649 |
| Online health information | 0.695256 |
| Annual Summary | 0.457876 |
| government Web sites | 0.577695 |
| email source | 0.456511 |
| useful Web sites | 0.56946 |
| health content | 0.519805 |
|
| online video resource | 0.804434 |
| Online guide | 0.503405 |
| CDC Online Newsroom | 0.757682 |
| health campaign | 0.534917 |
| science-based information | 0.512646 |
| promotional portion | 0.471951 |
| public health information | 0.674009 |
| single telephone | 0.456437 |
| communication campaigns | 0.454252 |
| Web Accessibility Initiative | 0.567775 |
| National Contact Center | 0.588205 |
| right channels | 0.625198 |
| Event information | 0.475613 |
| reduced-priced related products | 0.575971 |
| child safety | 0.446859 |
| communication program | 0.484523 |
| Appropriate distribution | 0.466477 |
| health-related products | 0.453002 |
| CDC Social Media | 0.71003 |
| CDC eHealth Metrics | 0.729495 |
| Usability.gov – Online | 0.54955 |
| systematic review | 0.45063 |
| one-stop source | 0.460582 |
| Community Preventive Services | 0.776758 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Fact Sheets-Alcohol Use And Health |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use. |
| Fetal alcohol syndrome | 0.54352 |
| drinking consequences | 0.335087 |
| alcohol content | 0.72675 |
| moderate alcohol intake | 0.677479 |
| Prev Chronic Dis | 0.479659 |
| binge drinking | 0.565163 |
| Wechsler H. Correlates | 0.337209 |
| harmful health conditions | 0.359295 |
| U.S. Department | 0.39117 |
| unintended pregnancy | 0.345934 |
| Alcohol Abuse | 0.505921 |
| High blood pressure | 0.336792 |
| alcohol | 0.990048 |
| pure alcohol | 0.607367 |
| World Health Organization | 0.438474 |
| poor school performance.6,18 | 0.329384 |
| Fatal nontraffic injuries | 0.320594 |
| Zhang X. Contribution | 0.326397 |
| alcohol poisoning | 0.583194 |
| Risky sexual behaviors | 0.339301 |
| Dietary Guidelines | 0.489627 |
| H. Vital Signs | 0.320468 |
| heavy drinking | 0.357445 |
| sexually transmitted diseases | 0.33175 |
| Brewer RD | 0.481512 |
|
| high blood alcohol | 0.593457 |
| United States | 0.491407 |
| moderate drinking | 0.363846 |
| potential life | 0.354092 |
| Mental health problems | 0.359658 |
| Alcohol-Related Disease Impact | 0.356767 |
| excessive alcohol | 0.915089 |
| alcohol dependence | 0.592004 |
| excessive drinking | 0.480339 |
| long-term health risks | 0.346389 |
| Behavioral Health Services | 0.340669 |
| Global status report | 0.329468 |
| alcohol-related neurodevelopmental disorders | 0.334475 |
| Castillo S. Health | 0.341982 |
| short-term employment outcomes | 0.318341 |
| Alcohol Poisoning Deaths | 0.565633 |
| Alcohol Involvement | 0.501902 |
| certain medical conditions | 0.341035 |
| Assistant Attorney General | 0.32193 |
| Alcohol-related sexual assault | 0.339371 |
| Naimi TS | 0.392794 |
| Stud Alcohol Suppl | 0.677896 |
| motor vehicle crashes | 0.335424 |
| intimate partner violence.6-10 | 0.327761 |
|
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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 |
|
|
CLICK HERE |
| 9512 |
Centers for Disease Control and Prevention |
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Notes from the Field: Recurrent Outbreak of Campylobacterjejuni Infections Associated with a Raw Milk Dairy - Pennsylvania,April-May 2013 |
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. |
| multistate outbreak | 0.606389 |
| mmwrq@cdc.gov. | 0.565016 |
| PDA requirements | 0.571883 |
| probable case | 0.564267 |
| original MMWR paper | 0.599452 |
| U.S. Government Printing | 0.59694 |
| Repeat outbreaks | 0.576948 |
| Human Services | 0.59008 |
| dairy farms | 0.589281 |
| assistive technology | 0.563097 |
| bulk tank milk | 0.774002 |
| bovine bacterial shedding | 0.599555 |
| MMWR HTML versions | 0.595666 |
| U.S. Department | 0.589138 |
| previously implicated dairies | 0.603138 |
| raw milk dairies | 0.711305 |
| retail raw milk | 0.700845 |
| raw milk producers | 0.69908 |
| Pennsylvania Department | 0.641723 |
| inadequate quality control | 0.600264 |
| electronic PDF version | 0.596575 |
| campylobacteriosis outbreaks | 0.611083 |
| probable cases | 0.564948 |
| raw milk | 0.923851 |
|
| Pennsylvania Dept | 0.591669 |
| raw milk onsite | 0.724856 |
| milk coliform | 0.644147 |
| future outbreaks | 0.574109 |
| subject line | 0.563095 |
| Contact GPO | 0.559034 |
| retail milk samples | 0.695158 |
| Amanda Beaudoin | 0.600775 |
| Allison H. Longenberger | 0.595433 |
| Campylobacter jejuni | 0.595283 |
| laboratory-confirmed campylobacteriosis | 0.596795 |
| milk collection | 0.634091 |
| off-farm pick-up sites | 0.615994 |
| original paper copy | 0.592995 |
| associated cases | 0.562422 |
| C. jejuni strains | 0.619547 |
| pulsed-field gel electrophoresis | 0.603556 |
| MУ ria Moll | 0.598744 |
| somatic cell testing | 0.604917 |
| raw milk–associated outbreak | 0.667535 |
| dairy | 0.613887 |
| raw milk products | 0.692226 |
| Public health officials | 0.601975 |
|
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Preventing Chronic Disease GIS Snapshot | Geographic Access to Diabetes Prevention Program Sites: New York State Department of Health - CDC |
New York’s Division of Chronic Disease Prevention has supported the delivery of the Diabetes Prevention Program (DPP) through community-based organizations across the state. The DPP is a 16-week lifestyle change program designed to prevent or delay type 2 diabetes in adults who are at high risk for the disease. In 2009, 10 YMCA sites across the state were selected to deliver the program. |
| State Behavioral Risk | 0.640401 |
| York State Department | 0.761289 |
| York City Community | 0.646182 |
| Risk Factor Surveillance | 0.635725 |
| York State Behavioral | 0.651157 |
| New York Association | 0.607879 |
| New York City | 0.695054 |
| City Community Health | 0.639446 |
| Disease Control | 0.592774 |
| potential program sites | 0.585179 |
| 30-minute drive-time | 0.648355 |
| 30-minute drive time | 0.659729 |
| York State Office | 0.601792 |
| New York State | 0.974847 |
| lifestyle change program | 0.573208 |
| community-based organizations | 0.609359 |
| York’s population | 0.581591 |
| Chronic Disease Directors | 0.574109 |
| DPP sites | 0.638682 |
| Potential DPP sites | 0.609171 |
| independent living | 0.570395 |
| chronic disease | 0.673618 |
| prevention program sites | 0.650973 |
| diabetes prevention program | 0.837496 |
| Behavioral Risk Factor | 0.635912 |
|
| diabetes prevention programs | 0.600397 |
| Prevention Cooperative Agreement | 0.569874 |
| street-level network analysis | 0.567056 |
| 30-minute drive-time buffers | 0.603746 |
| high diabetes risk-factor | 0.583397 |
| potential Diabetes Prevention | 0.61333 |
| additional community-based organizations | 0.571456 |
| existing diabetes prevention | 0.612696 |
| independent living centers | 0.569358 |
| risk-factor score | 0.571222 |
| 30-minute drive-time boundaries | 0.619011 |
| New York | 0.977041 |
| Chronic Disease Evaluation | 0.627921 |
| federally qualified health | 0.57147 |
| Community Health Survey | 0.640582 |
| Prevention Program site | 0.640141 |
| chronic disease programs | 0.576462 |
| risk factor | 0.64597 |
| Chronic Disease Prevention | 0.634886 |
| York City Department | 0.595409 |
| risk factor scores | 0.585078 |
| 30-minute drive-time radius | 0.596053 |
| York State DPP | 0.63812 |
| Public Health Service | 0.570714 |
|
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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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Are You Up-To-Date? | CDC Features |
Older Americans can stay healthy by keeping up to date with their immunization. |
| date | 0.347005 |
| diagnostic tests | 0.704602 |
| Older Americans | 0.650107 |
| reminder card | 0.539207 |
| blood test | 0.53704 |
| words | 0.343286 |
| regular check-ups | 0.567744 |
| regular basis | 0.506689 |
| flu shot | 0.557293 |
| urgent issues | 0.530268 |
| up-to-date | 0.473081 |
|
| immunization | 0.36948 |
| immunizations | 0.35745 |
| older adults | 0.778665 |
| U.S. Task Force | 0.728309 |
| Community Preventive Services | 0.806267 |
| popular song | 0.542419 |
| latest smart phone | 0.747481 |
| mammogram | 0.380065 |
| preventive services | 0.965967 |
| important preventive services | 0.767455 |
|
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Diphtheria Fact Sheet for Parents |
CDC fact sheet for parents: Diphtheria and the Vaccine (Shot) to Prevent It |
| Yes. The DTaP | 0.417778 |
| American Academy | 0.399727 |
| Español | 0.328979 |
| Page | 0.366428 |
| best way | 0.41794 |
| degrees | 0.342363 |
| DTaP shot | 0.810111 |
| tetanus | 0.405044 |
| diphtheria dies | 0.645269 |
| pages | 0.323945 |
| Disease Control | 0.403662 |
| children | 0.522963 |
| chills | 0.324612 |
| best protection | 0.405099 |
| Tdap | 0.345914 |
| Family Physicians | 0.407918 |
| heart failure | 0.400154 |
| sick child | 0.418343 |
| Color | 0.323957 |
| potentially serious disease | 0.416475 |
| Doctors | 0.344961 |
| effects | 0.4405 |
| dose | 0.354617 |
| visit www.cdc.gov/diphtheria | 0.402598 |
|
| Td booster shot | 0.631147 |
| Adults | 0.324056 |
| following ages | 0.411975 |
| child | 0.491176 |
| in-depth information | 0.405211 |
| throat | 0.442957 |
| lifetime protection | 0.425581 |
| infected person coughs | 0.492676 |
| child care | 0.415469 |
| mild fever | 0.407662 |
| sore throat | 0.435257 |
| abnormal heart rhythms | 0.490318 |
| diphtheria | 0.98209 |
| nose | 0.410019 |
| booster vaccine | 0.443393 |
| coating | 0.42276 |
| Td vaccine | 0.438729 |
| Difteria | 0.323876 |
| DTaP vaccine | 0.416611 |
| visit www.cdc.gov/vaccines/parents | 0.403032 |
| people | 0.346537 |
| breathe | 0.339596 |
| whooping cough | 0.572595 |
| diphtheria toxin | 0.701221 |
|
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