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Centers for Disease Control and Prevention |
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Notes from the Field: Increase in Reported Legionellosis -Milwaukee, Wisconsin, June-September 2013 |
Paul A. Biedrzycki, MPH, MBA1, Marisa Stanley, MPH1, Fredrick Radmer, MPH1, Shannon Lauf, MPH1 (Author affiliations at end of text). |
| realty management groups | 0.654542 |
| Legionella pneumophila serogroup | 0.749836 |
| clinically diagnosed cases | 0.695882 |
| county cases | 0.616374 |
| multiple environmental sources | 0.669397 |
| MHD | 0.743531 |
| Human Services | 0.64432 |
| bulk water specimens | 0.66124 |
| appropriate public risk | 0.670776 |
| legionellosis | 0.656577 |
| public health authorities | 0.845741 |
| MMWR HTML versions | 0.655848 |
| U.S. Department | 0.644498 |
| Multiple physician alerts | 0.651758 |
| electronic PDF version | 0.654898 |
| conditioning professional organizations | 0.657084 |
| building air conditioning | 0.659557 |
| select commercial building | 0.674264 |
| extremely hot weather | 0.657453 |
| Fredrick Radmer | 0.608036 |
| spatial analysis software | 0.659546 |
| Wisconsin State Laboratory | 0.690829 |
| original paper copy | 0.648811 |
| local building maintenance | 0.666517 |
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| public swimming pool/waterpark | 0.684508 |
| Legionella exposure | 0.719007 |
| seasonal cooling tower | 0.677778 |
| outdoor water fountain | 0.666215 |
| air conditioning | 0.663583 |
| reportable disease | 0.608569 |
| original MMWR paper | 0.662136 |
| U.S. Government Printing | 0.655403 |
| geographically separate towers | 0.685847 |
| Wisconsin Division | 0.681418 |
| regional cooling tower | 0.684275 |
| Pulsed-field gel electrophoresis | 0.66216 |
| Health Department Laboratory | 0.698049 |
| Paul A. Biedrzycki | 0.686105 |
| total annual case | 0.683099 |
| environmental sites | 0.609667 |
| Legionella-positive towers | 0.6178 |
| different cooling towers | 0.715502 |
| Milwaukee Health Department | 0.945997 |
| local public health | 0.846566 |
| county patients | 0.613455 |
| Cleaning Towers Infected | 0.683471 |
| MHD laboratory | 0.7129 |
| Milwaukee County | 0.646776 |
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Advisory Committee on Immunization Practices Recommended Immunization Schedules for Persons Aged 0 Through 18 Years - United States, 2014 |
Iyabode Akinsanya-Beysolow, MD1, Advisory Committee on Immunization Practices (ACIP),* ACIP Child/Adolescent Immunization Work Group (Affiliations at end of text). |
| current schedules | 0.569798 |
| CDC posts | 0.541333 |
| Haemophilus influenzae type | 0.543363 |
| CDC Director | 0.534278 |
| American Academy | 0.655549 |
| high-risk medical conditions | 0.559194 |
| Mortality Weekly Report | 0.530078 |
| original MMWR paper | 0.542542 |
| U.S. Government Printing | 0.532596 |
| Drug Administration–licensed vaccines | 0.599767 |
| health-care providers | 0.570018 |
| MMWR HTML versions | 0.546511 |
| federal advisory committee | 0.540124 |
| Immunization Practices | 0.653201 |
| ACIP). | 0.606878 |
| meningococcal conjugate vaccine | 0.748992 |
| electronic PDF version | 0.536016 |
| Hepatitis A vaccine | 0.562344 |
| advisory committee | 0.617643 |
| CDC website | 0.576957 |
| American College | 0.605126 |
| Family Physicians | 0.54998 |
| current recommendations | 0.5542 |
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| childhood/adolescent immunization schedules | 0.695524 |
| pneumococcal conjugate vaccine | 0.650347 |
| current immunization schedules | 0.706865 |
| Work Group Members | 0.535847 |
| ACIP vaccine recommendations | 0.841191 |
| Pneumococcal vaccine footnotes | 0.688362 |
| CDC immunization schedule | 0.741573 |
| NCIRD web support | 0.546813 |
| Work Group Chair | 0.532914 |
| Work Group | 0.597133 |
| conjugate vaccine footnotes | 0.714798 |
| NCIRD web team | 0.54701 |
| Influenza vaccine footnotes | 0.686702 |
| vaccine footnotes | 0.76148 |
| ACIP recommendations | 0.647088 |
| Work Group Contributors | 0.530497 |
| MenACWY–CRM vaccine | 0.569642 |
| accurate immunization schedules | 0.679692 |
| immunization schedules | 0.948864 |
| vaccine catch-up schedules | 0.668685 |
| readers electronic access | 0.562371 |
| printable versions | 0.547737 |
| conjugate vaccine row | 0.654115 |
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Centers for Disease Control and Prevention |
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Secondhand Smoke and Children - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Secondhand Smoke and Children |
| Tobacco Smoke | 0.590892 |
| SIDS | 0.422448 |
| grandparents | 0.611448 |
| dad | 0.445031 |
| Health Consequences | 0.483491 |
| mom | 0.441979 |
| wheezing | 0.424464 |
| coffin nails | 0.496112 |
| Caitlin | 0.449095 |
| house | 0.418065 |
| Cigarette smokers | 0.499232 |
| times | 0.416481 |
| sudden infant death | 0.594083 |
| coats | 0.41709 |
| pneumonia | 0.422779 |
| cigar smoke | 0.616263 |
| children | 0.585974 |
| syndrome | 0.419544 |
| Surgeon General Excerpts | 0.555284 |
| trouble | 0.416788 |
| pipe | 0.418064 |
| Involuntary Exposure | 0.495509 |
| secondhand smoke | 0.956942 |
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| chemicals | 0.419947 |
| Smoke-free homes | 0.50193 |
| health hazards | 0.491863 |
| lung diseases | 0.506427 |
| asthma attacks | 0.505644 |
| town | 0.417505 |
| bronchitis | 0.423339 |
| steps | 0.416431 |
| doctor | 0.449119 |
| health problems | 0.491159 |
| smoking cessation | 0.504016 |
| lung growth | 0.505161 |
| white sticks | 0.495103 |
| Pediatricians | 0.422034 |
| ages | 0.418852 |
| ear infections | 0.506271 |
| risk | 0.438154 |
| cancer | 0.419884 |
| cigarettes | 0.417696 |
| information | 0.416266 |
| visit Office | 0.487954 |
| time | 0.434382 |
| acute respiratory infections | 0.591834 |
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Centers for Disease Control and Prevention |
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One in five adults meet overall physical activity guidelines |
One in five adults meet overall physical activity guidelines |
| health branch | 0.490148 |
| Mortality Weekly Report | 0.591425 |
| highest proportion | 0.487463 |
| self-reported information | 0.507751 |
| resistance bands | 0.492252 |
| major muscle groups | 0.573495 |
| accessible ways | 0.478557 |
| Disease Control | 0.50278 |
| state health departments | 0.581245 |
| moderate-intensity aerobic activity | 0.637346 |
| aerobic guidelines | 0.542747 |
| visit www.cdc.gov/physicalactivity | 0.478602 |
| Americans | 0.42963 |
| annual phone survey | 0.586277 |
| vigorous-intensity aerobic activity | 0.636486 |
| HUMAN SERVICES | 0.48411 |
| Behavioral Risk Factor | 0.582162 |
| great foundation | 0.492719 |
| federal government | 0.503401 |
| United States | 0.492611 |
| adults | 0.608419 |
| Community Transformation Grants | 0.547072 |
| jogging | 0.41954 |
| muscle-strengthening activities | 0.493499 |
| percent | 0.625819 |
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| West Virginia | 0.485701 |
| chronic diseases. CDC | 0.580462 |
| U.S. DEPARTMENT | 0.48286 |
| physical activity recommendations | 0.735177 |
| M.P.H | 0.421086 |
| overall physical activity | 0.590368 |
| active choice | 0.486656 |
| Physical Activity Guidelines | 0.70116 |
| U.S. adults | 0.52079 |
| CDC currently funds | 0.583809 |
| Carmen D. Harris | 0.564653 |
| aerobic activity | 0.669282 |
| muscle-strengthening recommendations | 0.491782 |
| Columbia. The rates | 0.48754 |
| people | 0.429221 |
| Morbidity | 0.421589 |
| physical activity | 0.916832 |
| muscle-strengthening activity | 0.508726 |
| muscle strengthening components | 0.591526 |
| obese adults | 0.504436 |
| overall guidelines | 0.49311 |
| older adults | 0.497869 |
| convenient places | 0.487312 |
| easy choice | 0.485274 |
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| 8982 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers - Tiffany's Ad: Smoking and Family |
When Tiffany was 16, her mother—a cigarette smoker—died of lung cancer. Despite her loss, Tiffany started smoking 3 years later. In this TV commercial from CDC's Tips From Former Smokers campaign, Tiffany says she quit smoking at 34 because she could not bear the thought of missing out on any part of her own daughter's life.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=c5f5cedff6bf5338739921d2ed4ce49820130318115156093 |
| Tiffany | 0.907834 |
| Smokers | 0.926978 |
| CDC | 0.912422 |
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| Family | 0.516094 |
| YouTube | 0.874162 |
| Smoking | 0.796115 |
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| 9868 |
Centers for Disease Control and Prevention |
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Waterborne Disease Prevention Branch - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| Trop Med Hyg. | 0.843207 |
| Xiao L. Population | 0.534575 |
| Quick R. | 0.522034 |
| typhoid fever | 0.57465 |
| Xiao L. Enterocytozoon | 0.546694 |
| Beach MJ | 0.611734 |
| Xiao L. Extended | 0.509829 |
| Epidemiol Infect. | 0.56262 |
| water treatment | 0.523379 |
| Xiao L. Molecular | 0.645143 |
| Enterocytozoon bieneusi | 0.610833 |
| Emerg Infect Dis. | 0.657331 |
| cdc health information | 0.541165 |
| Xiao L. Distribution | 0.53392 |
| Morb Mortal Wkly | 0.831635 |
| Xiao L. Identity | 0.533253 |
| Negl Trop Dis. | 0.588975 |
| Vet Parasitol. | 0.562703 |
| water | 0.537145 |
| Clin Infect Dis. | 0.643107 |
| Infect Dis. | 0.75712 |
| typhoid fever outbreak | 0.554148 |
| Xiao L. Epidemiology | 0.506482 |
| Visvesvara GS | 0.593437 |
| Hlavsa MC | 0.51251 |
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| Environ Sci Technol. | 0.511714 |
| plos one. | 0.695877 |
| Xiao L. Cryptosporidium | 0.682432 |
| Xiao L. Taxonomy | 0.513991 |
| United States | 0.62542 |
| Xiao L. Occurrence | 0.559922 |
| Hill VR | 0.649202 |
| MMWR Morb Mortal | 0.829422 |
| L. Cryptosporidium tyzzeri | 0.50407 |
| PLoS Negl Trop | 0.602152 |
| Mortal Wkly Rep. | 0.774939 |
| public health | 0.541646 |
| Xiao L. Multilocus | 0.589652 |
| Cryptosporidium spp. | 0.631758 |
| Xiao L. Host | 0.522775 |
| Xiao L. Genotypic | 0.518464 |
| Yoder JS | 0.563462 |
| Xiao L. Genetic | 0.534294 |
| Xiao L. Survey | 0.536463 |
| Xiao L. Genotypes | 0.521947 |
| Xiao L. Feng | 0.523129 |
| Xiao L. | 0.963217 |
| Breiman RF | 0.510632 |
| Roy SL | 0.537018 |
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Centers for Disease Control and Prevention |
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Diagnostic Testing | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| submission form | 0.487747 |
| arbovirus activity increases | 0.572565 |
| commercial laboratories | 0.50093 |
| initial results | 0.494435 |
| virus transmission | 0.545479 |
| confirmatory testing | 0.499032 |
| Viral culture | 0.508109 |
| APPROPRIATE STATE HEALTH | 0.558573 |
| Disease Control | 0.50457 |
| shipping | 0.430129 |
| detailed instructions | 0.486772 |
| best type | 0.490744 |
| state health departments | 0.592332 |
| Initial serological testing | 0.572359 |
| CHIK testing | 0.591124 |
| convalescent-phase samples | 0.491499 |
| IgM-capture ELISA | 0.489981 |
| test results | 0.53867 |
| Chikungunya virus infection | 0.733025 |
| patients | 0.432659 |
| Brief Clinical Summary | 0.557898 |
| biosafety level | 0.499654 |
| hard copy | 0.480797 |
| chikungunya viral RNA | 0.675749 |
| on-line CDC specimen | 0.577532 |
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| field | 0.425311 |
| ARBOVIRUS SEROLOGY | 0.50948 |
| Contact your state | 0.506077 |
| diagnostic specimens | 0.485997 |
| acute-phase samples test | 0.57051 |
| drop-down menu | 0.490623 |
| IgG ELISA | 0.499145 |
| page | 0.42526 |
| Diagnostic testing | 0.518857 |
| virus-specific immunoglobulin | 0.503805 |
| chikungunya virus | 0.915018 |
| serum separator | 0.551725 |
| final results | 0.492243 |
| state health department | 0.836259 |
| specimen receipt | 0.496729 |
| Laboratory diagnosis | 0.495532 |
| acute onset | 0.503942 |
| illness | 0.450812 |
| testing serum | 0.569129 |
| direct submissions | 0.481517 |
| blood | 0.430282 |
| Chikungunya virus antibodies | 0.709201 |
| clean tube | 0.489432 |
| Test Order | 0.488598 |
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Centers for Disease Control and Prevention |
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CDC Ebola Response Update #3 - HAN Archive - 00367 | Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| Confirmed Case Count | 0.268092 |
| CDC Health Alert | 0.517121 |
| U.S. healthcare workers | 0.232636 |
| CDC | 0.614712 |
| United States | 0.340186 |
| Public Health Emergency | 0.269128 |
| rapidly changing situation | 0.231501 |
| affected countries | 0.235138 |
| American healthcare workers | 0.220243 |
| international partners | 0.265562 |
| Ebola virus | 0.617712 |
| unprotected mucous membranes | 0.243234 |
| enhances health decisions | 0.240965 |
| critical health issues | 0.246405 |
| sick travelers | 0.213289 |
| Disease Control | 0.268795 |
| PHEIC declaration | 0.228016 |
| Summary Key Messages | 0.247346 |
|
| appropriate patient care | 0.216008 |
| new information | 0.268463 |
| CDC website | 0.32664 |
| international response | 0.263602 |
| public health concern | 0.253883 |
| public health | 0.428752 |
| key messages | 0.282843 |
| World Health Organization | 0.501341 |
| public health actions | 0.240334 |
| U.S. government agencies | 0.494309 |
| current Ebola outbreak | 0.870192 |
| Emergency Operations Center | 0.253028 |
| ebola cases | 0.776275 |
| U.S. general population | 0.238468 |
| largest Ebola outbreak | 0.603636 |
| international public health | 0.257185 |
| West Africa | 0.768438 |
| healthcare workers | 0.239348 |
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Centers for Disease Control and Prevention |
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CDC's VetoViolence Website | CDC Features |
See the VetoViolence website to learn how to stop violence before it happens |
| online course | 0.485309 |
| practical knowledge | 0.480259 |
| Planning Tool | 0.479539 |
| violence initiative | 0.591475 |
| success story | 0.472349 |
| comprehensive teen | 0.475337 |
| Adverse Childhood Experiences | 0.542619 |
| emergency room | 0.470836 |
| research evidence | 0.476428 |
| ace study | 0.554148 |
| violence prevention tools | 0.692016 |
| Kaiser ACE Study | 0.543489 |
| STRYVE Online Resources | 0.552908 |
| teen dating violence | 0.658518 |
| community issues | 0.471635 |
| evidence-based strategies | 0.473529 |
| youth violence prevention | 0.666788 |
| different data collection | 0.532023 |
| violence prevention | 0.910643 |
| action plans | 0.476057 |
| capacity priorities | 0.481103 |
| successful violence prevention | 0.660565 |
| violence prevention work | 0.669625 |
| Community HealthSim | 0.471838 |
| new tool | 0.473532 |
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| Decision makers | 0.470162 |
| social-ecological model | 0.475329 |
| positive results | 0.4732 |
| strategic action | 0.469666 |
| violence prevention practitioners | 0.772644 |
| resource answers questions | 0.544693 |
| key concepts | 0.475536 |
| public health approach | 0.537748 |
| VetoViolence offers | 0.485993 |
| primary prevention | 0.492623 |
| Technical assistance providers | 0.530817 |
| violence prevention practitioner | 0.692547 |
| overcrowded jails | 0.479019 |
| Matters® Training | 0.474986 |
| Success Stories Portal | 0.534349 |
| online training | 0.483812 |
| VetoViolence website | 0.647477 |
| safer communities | 0.479318 |
| evidence-informed decisions | 0.471473 |
| best available evidence | 0.554335 |
| Program evaluators | 0.47763 |
| CDC grantees | 0.479406 |
| various trainings | 0.522247 |
| violence prevention trainings | 0.758424 |
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Centers for Disease Control and Prevention |
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Areas At Risk |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Healthcare Providers Caring | 0.374268 |
| South America | 0.346508 |
| Central America | 0.346487 |
| Metsky HC | 0.343598 |
| CDC | 0.354488 |
| tissue transplants | 0.382743 |
| North America | 0.346529 |
| Henriques CM | 0.34431 |
| standard case definitions | 0.384026 |
| cryptic transmission | 0.369196 |
| blood collection | 0.365252 |
| active Zika virus | 0.483674 |
| state health departments | 0.387614 |
| Rudnick A. Isolation | 0.370412 |
| domestic blood | 0.363932 |
| Zika virus presence | 0.475461 |
| Previously listed areas | 0.394467 |
| Zika virus evolution | 0.459796 |
| tissue safety intervention | 0.420915 |
| zika virus outbreak | 0.524516 |
| substantive risk | 0.361165 |
| Zika virus disease | 0.495732 |
| Miami-Dade County | 0.377757 |
| nationally notifiable condition | 0.386237 |
| Asian countries | 0.343466 |
|
| Aedes aegypti mosquitoes | 0.374106 |
| Zika virus transmission | 0.824401 |
| tissue supply | 0.422951 |
| da Costa AC | 0.367639 |
| Palm Beach counties | 0.378167 |
| Zika virus information | 0.498096 |
| tissue safety interventions | 0.422969 |
| tissue recovery organizations | 0.483855 |
| Drug Administration | 0.347274 |
| continental United States | 0.379729 |
| plausible estimate | 0.344115 |
| 2536-43. doi | 0.363773 |
| zika virus | 0.941334 |
| local health departments | 0.386528 |
| blood transfusion | 0.36519 |
| Soc Trop Med | 0.373291 |
| potential risk | 0.361647 |
| tissue safety | 0.463584 |
| Santelli ACFS | 0.34375 |
| local travel | 0.343622 |
| et al | 0.378933 |
| mathematical modeling | 0.343913 |
| virus transmission risk | 0.647633 |
| active transmission | 0.396942 |
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