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Disaster Preparedness for Your Pet | CDC Features |
If a natural disaster strikes, what will happen to your pet? Be prepared: make a plan and prepare a disaster kit for your pet. |
| pets | 0.806088 |
| natural disasters | 0.501124 |
| pharmacy contact | 0.424317 |
| plastic trash bags | 0.485865 |
| contact | 0.569516 |
| Practice safe handling | 0.660733 |
| animals | 0.552359 |
| pet | 0.986197 |
| service animals | 0.43235 |
| contact information | 0.564271 |
| common disaster-related diseases | 0.492674 |
| up-to-date contact information | 0.533333 |
| pet seatbelts | 0.498086 |
| Disaster Supplies | 0.456421 |
| airtight waterproof containers | 0.484887 |
| disaster plan | 0.54597 |
| pet caretakers | 0.474904 |
| unfamiliar animals | 0.426614 |
| local veterinary clinics | 0.501977 |
| safe place | 0.428699 |
| Pet toys | 0.481226 |
| stagnant water | 0.50918 |
| litter box | 0.501911 |
| pet carrier | 0.501285 |
|
| disaster kit | 0.684904 |
| stressful situation | 0.506441 |
| pet interact | 0.470195 |
| contact animal control | 0.508792 |
| natural disaster | 0.484735 |
| bleach-containing cleaning agent | 0.492048 |
| Pets Healthy People | 0.52043 |
| pet owners | 0.511639 |
| contaminated water | 0.472628 |
| waterproof containers | 0.501429 |
| disaster strikes | 0.454828 |
| microchip company | 0.518902 |
| Humane Society website | 0.492532 |
| evacuation plans | 0.433009 |
| local emergency management | 0.501085 |
| rabid animals | 0.426221 |
| pre-made missing pet | 0.551852 |
| pet caretaker | 0.475697 |
| local animal shelters | 0.501279 |
| local human shelters | 0.49569 |
| diseases animals | 0.427761 |
| stray animals | 0.500731 |
| disaster situation | 0.440479 |
| West Nile virus | 0.466655 |
|
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Distracted Driving in the United States and Europe | CDC Features |
New CDC study shows higher percentage of U.S. drivers distracted behind the wheel compared to several European countries. |
| positive example | 0.399785 |
| brakes | 0.244835 |
| CDC study | 0.422376 |
| GDL | 0.245558 |
| makes crashes | 0.498526 |
| problem | 0.244197 |
| safe driver | 0.403896 |
| road | 0.351633 |
| in-vehicle technologies | 0.424206 |
| higher percentage | 0.4282 |
| laws | 0.274238 |
| family commit | 0.405142 |
| ground rules | 0.413624 |
| text messages | 0.61887 |
| text message | 0.44954 |
| family pledge | 0.403594 |
| steps | 0.244009 |
| exit | 0.246753 |
| Belgium | 0.243889 |
| Model safe behavior | 0.575977 |
| good driving habits | 0.692264 |
| Germany | 0.24386 |
| activity | 0.243135 |
| United States | 0.923733 |
| distractions | 0.247798 |
|
| cell phone | 0.946112 |
| emails | 0.28569 |
| Netherlands | 0.243839 |
| navigation systems | 0.408676 |
| car | 0.293582 |
| U.S. drivers ages | 0.613659 |
| France | 0.243874 |
| email | 0.244261 |
| main types | 0.417849 |
| one-third | 0.250916 |
| mind | 0.243323 |
| distraction-free driving | 0.594061 |
| safe driving | 0.422959 |
| texting | 0.355278 |
| United Kingdom | 0.58615 |
| European countries | 0.618954 |
| teen | 0.271845 |
| people | 0.366206 |
| young drivers | 0.404262 |
| Spain | 0.282094 |
| texts | 0.243496 |
| Driver Licensing | 0.395935 |
| distracted driver | 0.778538 |
| motor vehicle crashes | 0.655563 |
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Postpartum screening for diabetes among women with a history of gestational diabetes mellitus. |
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| early postpartum period | 0.472184 |
| subsequent diabetes | 0.451805 |
| diabetes referral clinic | 0.485163 |
| postpartum screening rates | 0.577367 |
| 6-week postpartum visit | 0.452608 |
| GDM | 0.470716 |
| gestational diabetes mellitus | 0.943083 |
| L. American Diabetes | 0.445552 |
| undiagnosed diabetes | 0.465127 |
| Australian postpartum women | 0.461537 |
| diabetes postpartum | 0.55082 |
| postpartum screening tests | 0.461661 |
| simulated postpartum screening | 0.47278 |
| Australian gestational diabetes | 0.476778 |
| prior gestational diabetes | 0.475562 |
| abnormal glucose tolerance | 0.442229 |
| postpartum period | 0.475023 |
| diabetes screening rates | 0.533633 |
| diabetes mellitus screening | 0.52147 |
| 3-month postpartum glucose | 0.445023 |
| postpartum glucose testing | 0.46812 |
| G. Diabetes risk | 0.45241 |
| diabetes mellitus-affected pregnancy | 0.457903 |
| women | 0.670874 |
| Diabetes Association recommend | 0.466196 |
|
| Diabetes Prevention Program | 0.477557 |
| overt diabetes mellitus | 0.506028 |
| postpartum diabetes screening | 0.671161 |
| postpartum women | 0.507473 |
| postpartum screening strategies | 0.456356 |
| postpartum glucose screening | 0.541021 |
| abnormal glucose | 0.461264 |
| recent gestational diabetes | 0.485895 |
| gestational diabetes pregnancy | 0.49301 |
| rural postpartum women | 0.443345 |
| total diabetes prevalence | 0.477026 |
| glucose tolerance | 0.577464 |
| Canadian diabetes referral | 0.456888 |
| postpartum Papanicolaou screening | 0.479089 |
| postpartum glucose tolerance | 0.462682 |
| postpartum glycemic screening | 0.480122 |
| Diabetes Res Clin | 0.519285 |
| Diabetes Care | 0.638018 |
| Diabetes Obes Metab | 0.447466 |
| early postpartum screening | 0.478824 |
| et al | 0.490076 |
| American Diabetes Association | 0.573443 |
| postpartum screening | 0.777525 |
| Australian Diabetes | 0.45376 |
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Selecting Viruses for the Seasonal Influenza Vaccine |
Selecting Viruses for the Seasonal Influenza Vaccine - CDC |
| national influenza centers | 0.382166 |
| influenza virus samples | 0.334125 |
| vaccine production | 0.489897 |
| flu vaccine production | 0.382496 |
| influenza vaccine viruses | 0.63807 |
| CDC’s Influenza | 0.296583 |
| vaccine viruses | 0.973638 |
| seasonal vaccine virus | 0.379115 |
| representative viruses | 0.315206 |
| upcoming flu season | 0.230109 |
| seasonal influenza vaccine | 0.507656 |
| candidate vaccine virus | 0.38176 |
| Flu viruses | 0.360229 |
| key national laboratories | 0.262363 |
| influenza season | 0.256602 |
| vaccine virus selection | 0.496556 |
| vaccine production challenging | 0.373167 |
| upcoming season | 0.267913 |
| World Health Organization | 0.260922 |
|
| influenza vaccines | 0.310042 |
| influenza activity | 0.247373 |
| candidate vaccine viruses | 0.604451 |
| vaccine composition | 0.370146 |
| good vaccine virus | 0.471046 |
| suitable vaccine virus | 0.387059 |
| seasonal flu vaccine | 0.4115 |
| Influenza Division | 0.317636 |
| certain influenza viruses | 0.442829 |
| Collaborating Centers | 0.321705 |
| influenza viruses | 0.727922 |
| available vaccine viruses | 0.58002 |
| Vaccine Effectiveness | 0.318644 |
| essential regulatory laboratories | 0.261641 |
| specific vaccine viruses | 0.554294 |
| influenza viruses research | 0.502517 |
| season’s vaccine | 0.452981 |
| Flu Vaccine Work | 0.379302 |
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Research Agenda - Entertainment Education - Health Communication |
Research Agenda - Gateway to Health Communication - CDC |
| current EE initiatives | 0.769919 |
| EE audiences | 0.680481 |
| equally compelling need | 0.546812 |
| highest-priority research topics | 0.553726 |
| health information | 0.482173 |
| Entertainment Industry | 0.480034 |
| research | 0.62581 |
| mixed messages | 0.484831 |
| general recommendations | 0.547458 |
| research gaps | 0.520921 |
| CDC-Specific EE Activities | 0.740576 |
| EE effects | 0.694334 |
| health issues | 0.494482 |
| EE outcomes | 0.682606 |
| recent revolutionary changes | 0.540363 |
| Disease Control | 0.487253 |
| practical research agenda | 0.57293 |
| EE | 0.9966 |
| health issues/concerns | 0.537999 |
| EE strategies | 0.698503 |
| responsible entertainment programming | 0.554875 |
| health problems | 0.479584 |
| sound principles | 0.478674 |
| EE messages | 0.937419 |
| mass communication | 0.487345 |
|
| EE interventions | 0.69451 |
| major research topics | 0.557757 |
| central content areas | 0.54934 |
| health promotion | 0.493453 |
| new research | 0.500806 |
| potential efficacy | 0.476826 |
| public health strategy | 0.558464 |
| considerable enthusiasm | 0.481993 |
| positive health effects | 0.564224 |
| future EE initiatives | 0.770218 |
| structured interpersonal communication | 0.536027 |
| Expert Panelists | 0.589223 |
| specific research questions | 0.558334 |
| public health goals | 0.551141 |
| entertainment programming | 0.616134 |
| entertainment programs | 0.482696 |
| EE content | 0.745467 |
| delivery systems | 0.477405 |
| entertainment technologies | 0.485782 |
| important gaps | 0.485121 |
| important group | 0.478669 |
| potentially vital component | 0.543786 |
| funding research | 0.500367 |
| Expert Panel | 0.483513 |
|
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Science Clips - Monday, May 27, 2013 |
null |
| lymphedema case management | 0.781196 |
| Trop Med Hyg. | 0.871226 |
| effective public tuberculosis | 0.802746 |
| American Evaluation Association | 0.86072 |
| Sampson BP | 0.796031 |
| Seidenberg AB | 0.798176 |
| Disease Control | 0.79447 |
| program evaluation | 0.870492 |
| CDC programs | 0.852899 |
| Wuchereria bancrofti antigen | 0.788507 |
| CDC Science Clips | 0.870937 |
| rural North Dakota | 0.785798 |
| Fox KA | 0.80036 |
| evaluation designs | 0.811914 |
| Porter DW | 0.787475 |
| mass drug administration | 0.779489 |
| Science Clips Production | 0.792761 |
| field evaluation | 0.796621 |
| Jamieson DJ | 0.789001 |
| strong evaluation | 0.801986 |
| Guy GP | 0.789024 |
| strong program monitoring | 0.905424 |
| Clin Infect Dis. | 0.788884 |
| Enteric Multicenter Study | 0.800439 |
| public health practice | 0.840814 |
|
| Summer Evaluation Institute | 0.860822 |
| Infect Dis. | 0.796138 |
| Chief Evaluation Officer | 0.836976 |
| Current employment status | 0.788068 |
| evaluation capacity | 0.800516 |
| current research gaps | 0.792877 |
| van der Horst | 0.869356 |
| pool chemical-associated health | 0.807063 |
| evaluation findings | 0.815146 |
| Cost Eff Resour | 0.787818 |
| Occup Environ Med. | 0.865574 |
| continuous program improvement | 0.811164 |
| public health | 0.932812 |
| intestinal mucosal integrity | 0.785375 |
| Curr Protoc Microbiol. | 0.792991 |
| mixed method approach | 0.788171 |
| clinical hip abnormalities | 0.785473 |
| public health programs | 0.852854 |
| public health literature | 0.81354 |
| B. Thacker CDC | 0.860112 |
| indoor tanning | 0.791461 |
| new rapid test | 0.780847 |
| multidrug resistant tuberculosis | 0.785084 |
| der Horst CM | 0.781066 |
|
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Smoke-Free Policies in Multiunit Housing: Smoking Behaviorand Reactions to Messaging Strategies in Support or inOpposition |
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. |
| smoke-free MUH policy | 0.422542 |
| personal smoke-free homes | 0.286729 |
| public smoke-free policies | 0.299161 |
| current smokers | 0.259911 |
| current cigarette smokers | 0.242371 |
| personal smoke-free policies | 0.352609 |
| Disease Control | 0.23558 |
| smoke-free building | 0.294121 |
| MUH complexes | 0.332391 |
| smoking status | 0.238979 |
| tobacco | 0.271396 |
| secondhand smoke | 0.236722 |
| personal smoke-free home | 0.29313 |
| smoke-free complex | 0.273593 |
| smoke-free public policies | 0.319944 |
| Global Market Insite | 0.235179 |
| private smoke-free policies | 0.30208 |
| smoke-free policy implementation | 0.278144 |
| restrictive smoke-free policies | 0.299135 |
| smoke-free home rules | 0.298781 |
| Smoke-free laws | 0.272613 |
| complete smoke-free policies | 0.30602 |
| MUH smoke-free policies | 0.39908 |
| complete MUH policies | 0.351917 |
| messages | 0.23969 |
|
| Tobacco Free Kids | 0.258991 |
| MUH smoking policies | 0.351384 |
| smoke-free home policies | 0.325794 |
| affordable MUH | 0.320678 |
| United States | 0.250062 |
| racial/ethnic minority populations | 0.251896 |
| smoke-free areas | 0.277894 |
| smoke-free muh policies | 0.973798 |
| complete policies | 0.243227 |
| smoke-free policies | 0.420042 |
| multiunit housing | 0.237859 |
| MUH residents | 0.406463 |
| individual rights | 0.263227 |
| adult MUH residents | 0.330486 |
| comprehensive smoke-free policies | 0.293192 |
| smoke-free MUH complex | 0.388328 |
| health | 0.242109 |
| smoke-free restaurants | 0.269829 |
| complete smoke-free MUH | 0.429547 |
| racial/ethnic minorities | 0.241496 |
| tobacco control policies | 0.25531 |
| Smoke-free rules | 0.27124 |
| Mellman Group | 0.240932 |
| restrictive smoke-free MUH | 0.417966 |
|
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Notes from the Field: Mycobacterium chelonae Eye InfectionsAssociated with Humidifier Use in an Outpatient LASIK Clinic -Ohio, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| County Health Department | 0.727159 |
| Eric Zgodzinski | 0.627819 |
| LASIK eye surgery | 0.834581 |
| similar humidifier systems | 0.738992 |
| control guidance states | 0.679257 |
| Zoonotic Infectious Diseases | 0.679525 |
| laboratory-confirmed M. chelonae | 0.707384 |
| dry inlet air | 0.69249 |
| eye pain | 0.706733 |
| operating room | 0.805118 |
| Larry Vasko | 0.619393 |
| American National Standards | 0.677628 |
| LASIK surgery | 0.717233 |
| CDC environmental infection | 0.728597 |
| water contamination | 0.618038 |
| air output vents | 0.690974 |
| Heather Moulton-Meissner | 0.614996 |
| vision irregularities | 0.615768 |
| water reservoir | 0.696543 |
| health care facilities | 0.701551 |
| retail humidifiers | 0.711338 |
| health care settings | 0.696809 |
| Samantha Eitniear | 0.618387 |
| Joseph F. Perz | 0.719977 |
| LASIK procedures | 0.983209 |
|
| Public Health | 0.765249 |
| United States | 0.619128 |
| 3Toledo-Lucas County Department | 0.687888 |
| reservoir style humidifiers | 0.816552 |
| Pulsed-field gel electrophoresis | 0.681177 |
| Mycobacterium chelonae | 0.618885 |
| Healthcare Quality Promotion | 0.681876 |
| centralized air handling | 0.691201 |
| internal reservoir | 0.633799 |
| Ohio Department | 0.61627 |
| Air-Conditioning Engineers/American Society | 0.677252 |
| additional LASIK clinics | 0.768237 |
| humidifier isolate | 0.672077 |
| situ keratomileusis | 0.618529 |
| TLCHD staff | 0.710012 |
| air handling units | 0.686875 |
| ventilation guidelines state | 0.67343 |
| David Grossman | 0.619301 |
| ambulatory surgery center | 0.711909 |
| M. chelonae | 0.802097 |
| Alison Laufer Halpin | 0.729482 |
| consumer-grade misting humidifier | 0.780077 |
| 2Epidemic Intelligence Service | 0.681036 |
| operating room environment | 0.688047 |
|
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Influenza School-located Vaccination (SLV): Information for Planners |
Influenza School-located Vaccination (SLV): Information for Planners - CDC |
| 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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FastStats - Illegal Drug Use |
null |
| persons | 0.616494 |
| Percent | 0.781262 |
|
| psychotherapeutic drug | 0.832058 |
|
CLICK HERE |