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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 |
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| 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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Racial Disparities in Access to Maternity Care PracticesThat Support Breastfeeding - United States, 2011 |
Jennifer N. Lind, PharmD1,2, Cria G. Perrine, PhD2, Ruowei Li, MD2, Kelley S. |
| Baby-Friendly Hospital Initiative | 0.256034 |
| data | 0.277148 |
| racial/ethnic composition | 0.257362 |
| black residents | 0.446147 |
| WIC sites | 0.256571 |
| areas | 0.315085 |
| breastfeeding interventions | 0.290055 |
| World Health Organization/United | 0.259057 |
| Laurence M. Grummer-Strawn | 0.26354 |
| breastfeeding decisions | 0.288983 |
| percentage | 0.285683 |
| continuous nationwide survey | 0.259592 |
| national average | 0.262415 |
| higher percentage | 0.264436 |
| final analytic sample | 0.256418 |
| level race data | 0.254807 |
| breastfeeding exclusivity | 0.301448 |
| Jennifer N. Lind | 0.315215 |
| early initiation | 0.263881 |
| recommended practices | 0.272652 |
| Successful Breastfeeding | 0.299474 |
| maternity care practices* | 0.291736 |
| health benefits | 0.261963 |
| breastfeeding duration rates | 0.340413 |
|
| maternity facilities | 0.344721 |
| zip code | 0.749345 |
| prenatal breastfeeding education | 0.321576 |
| United States | 0.298384 |
| Cria G. Perrine | 0.264908 |
| Kelley S. Scanlon | 0.263681 |
| higher percentages | 0.254962 |
| U.S. Census Bureau | 0.254784 |
| lower breastfeeding rates | 0.361941 |
| breastfeeding techniques | 0.297051 |
| clinic-based breastfeeding support | 0.317271 |
| U.S. Census data | 0.266988 |
| recommended maternity care | 0.387046 |
| U.S. residents | 0.256254 |
| level racial/ethnic composition | 0.255691 |
| American Community Survey | 0.260547 |
| poorer maternity care | 0.284708 |
| racial composition | 0.380889 |
| mPINC indicators | 0.328266 |
| breastfeeding | 0.388175 |
| maternity care practices | 0.925138 |
| facilities | 0.41185 |
| Maternity Practices | 0.280868 |
| hospital service areas | 0.260518 |
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Insufficient Sleep Is a Public Health Epidemic | CDC Features |
Continued public health surveillance of sleep quality, duration, behaviors, and disorders is needed to monitor sleep difficulties and their health impact. |
| BRFSS Sleep module | 0.627013 |
| adult respondents | 0.37104 |
| scale societal factors | 0.425344 |
| Risk Factor Surveillance | 0.424228 |
| self-reported sleep-related difficulties | 0.429695 |
| National Health Interview | 0.420709 |
| regular sleep | 0.557993 |
| National Sleep Foundation | 0.608636 |
| health impact | 0.385505 |
| sleep-related behaviors | 0.384123 |
| public health surveillance | 0.456364 |
| Nutrition Examination Survey | 0.41103 |
| sleep patterns | 0.582695 |
| National Center | 0.371327 |
| good sleep habits | 0.605761 |
| Sleep Disorders Questionnaire | 0.614171 |
| selected sociodemographic factors | 0.417099 |
| reduced quality | 0.370189 |
| insufficient sleep | 0.589239 |
| sleep insufficiency | 0.722089 |
| typical 24-hour period | 0.411585 |
| drowsy driving | 0.415476 |
| important role.1 | 0.371003 |
| important public health | 0.431215 |
| round-the-clock access | 0.373801 |
|
| Health Related Quality | 0.429445 |
| adults | 0.378901 |
| CDC surveillance report | 0.425443 |
| sleep | 0.9332 |
| unhealthy sleep behaviors | 0.647839 |
| CDC surveillance | 0.429582 |
| average school night | 0.402176 |
| work schedules | 0.370616 |
| sleep quality | 0.615527 |
| public health | 0.484078 |
| obstructive sleep apnea | 0.735381 |
| sleep disorders | 0.714518 |
| short sleep duration | 0.611219 |
| Sleep Disorders Research | 0.640139 |
| insufficient rest | 0.370691 |
| sleep difficulties | 0.614416 |
| U.S. adults | 0.371928 |
| sleep hygiene tips | 0.605805 |
| high school students | 0.404202 |
| adequate surveillance | 0.373888 |
| daily tasks | 0.424497 |
| wakefulness disorder1 | 0.374115 |
| unhealthy/sleep behaviors | 0.373359 |
| motor vehicle crashes | 0.431862 |
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Tellurium hexafluoride - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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Africa Influenza Surveillance Advances with Recent Data Management Training |
The CDC’s Influenza Division in partnership with the National Institute for Communicable Disease (NICD) hosted a Data Management Training Course for influenza surveillance data managers and epidemiologists at the NICD training facility in Johannesburg, South Africa in November 2011. |
| Management Training Course | 0.645156 |
| Jazmin Duque | 0.247279 |
| data interpretation | 0.309574 |
| public health practitioners | 0.367156 |
| risk ratios | 0.264182 |
| high standards | 0.248382 |
| CDC Influenza Division | 0.463745 |
| hard time | 0.243471 |
| Communicable Disease | 0.273092 |
| influenza surveillance systems | 0.769506 |
| FluNet information | 0.245871 |
| decision makers | 0.243299 |
| Centre’s processes | 0.241019 |
| data quality | 0.309246 |
| Data Management Training | 0.669639 |
| Influenza Division | 0.483623 |
| influenza surveillance | 0.958566 |
| course format | 0.283722 |
| short lectures | 0.255339 |
| epidemiologic analyses | 0.25192 |
| data cleaning | 0.31827 |
| disease surveillance data | 0.477941 |
| quality assurance | 0.251075 |
| Regional Office | 0.266476 |
| NICD Data Management | 0.53368 |
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| South Africa | 0.2747 |
| NICD training facility | 0.554179 |
| data validation rules | 0.434835 |
| course topics | 0.281995 |
| data entry controls | 0.446589 |
| risk factor data | 0.442006 |
| seasonal influenza surveillance | 0.5267 |
| easy-to-interpret fashion | 0.249907 |
| CDC’s Influenza | 0.410034 |
| African countries | 0.267894 |
| hands-on exercises | 0.246423 |
| training participants | 0.387876 |
| public health | 0.392387 |
| National Institute | 0.270603 |
| participants | 0.650594 |
| Health Organization Africa | 0.411491 |
| data analysis | 0.322491 |
| influenza surveillance data | 0.828898 |
| strong influenza surveillance | 0.485267 |
| analysis methods | 0.271233 |
| primary goal | 0.267083 |
| surveillance data managers | 0.543629 |
| incorporate quality checks | 0.372649 |
| data collection | 0.293546 |
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Preconception Care - Information for Men |
null |
| health history | 0.557622 |
| short-term dietary changes | 0.613556 |
| unborn baby | 0.531409 |
| Health Services Administration | 0.67705 |
| Abuse Treatment Facility | 0.635368 |
| mental health | 0.728012 |
| harmful materials | 0.623927 |
| family history information | 0.61558 |
| Substance Abuse | 0.62614 |
| male reproductive health | 0.671075 |
| sickle cell disease | 0.613359 |
| genetic counseling | 0.692481 |
| previous pregnancy | 0.527101 |
| early death | 0.530586 |
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| health care | 0.556647 |
| Secondhand smoke | 0.530475 |
| common problem | 0.52705 |
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| overall health | 0.557285 |
| good health | 0.558057 |
| pregnancy | 0.611928 |
|
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| rodent feces | 0.52814 |
| health | 0.912984 |
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| healthy weight | 0.721121 |
| reproductive life plan | 0.841253 |
| people | 0.577942 |
| doctor | 0.561104 |
| sexually transmitted diseases | 0.639402 |
| local treatment center | 0.641116 |
| National Domestic Violence | 0.61444 |
| health problems | 0.558468 |
| regular physical activity | 0.616333 |
| low birthweight | 0.536324 |
| personal values | 0.534386 |
| treatment facility locator | 0.805305 |
| family history | 0.684992 |
| STDs | 0.582478 |
| Toxic Matters | 0.537094 |
| reproductive systems | 0.532448 |
| term preconception health | 0.71705 |
| women | 0.56621 |
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Flu Prevention Partner Success Stories: Family Voices |
Partnership success stories, Family Voices Campaign - CDC
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CDC Telebriefing: CDC releases new autism spectrum disorder data | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| National Center | 0.431753 |
| Developmental Disabilities | 0.435791 |
| media availability | 0.39914 |
| list Skip | 0.751169 |
| question | 0.290895 |
| Non-Media | 0.224875 |
| Birth Defects | 0.445745 |
| page options Skip | 0.954753 |
| MMWR surveillance summary | 0.723329 |
| M.S. Hyg. | 0.432804 |
|
| historical purposes | 0.477786 |
| Coleen Boyle | 0.511108 |
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| transcript | 0.228515 |
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| PASSCODE | 0.215494 |
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| autism spectrum disorders | 0.720338 |
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Heroin |
null |
| shallow breathing | 0.311792 |
| opioid abuse | 0.383953 |
| higher incomes | 0.314944 |
| opioid prescribing practices | 0.461899 |
| behavioral therapies | 0.286626 |
| heroin addiction | 0.547806 |
| long-term viral infections | 0.386493 |
| Hepatitis | 0.23558 |
| historically low rates | 0.407401 |
| prevention services | 0.293429 |
| prescription opioids | 0.4435 |
| reliable source | 0.291285 |
| demographic groups | 0.309867 |
| greatest increases | 0.315433 |
| opioid pain relievers | 0.497435 |
| nonmedical pain | 0.299742 |
| alcohol | 0.234273 |
| Heroin overdose deaths | 0.719646 |
| heroin | 0.938912 |
| local policy | 0.293047 |
| opioid overdose | 0.459321 |
| prescription opioid pain | 0.676268 |
| Non-Hispanic whites | 0.309253 |
| multiple other substances | 0.301741 |
| age groups | 0.311218 |
|
| coma | 0.222037 |
| heroin overdose | 0.788519 |
| buprenorphine | 0.222419 |
| high risk | 0.293037 |
| women | 0.235838 |
| MAT | 0.234177 |
| access | 0.245874 |
| United States | 0.470695 |
| cocaine | 0.247111 |
| bacterial infections | 0.303143 |
| new heroin users | 0.635141 |
| Davies C. Associations | 0.369412 |
| heroin-related overdose deaths | 0.596693 |
| large metropolitan area | 0.378058 |
| life-saving drug | 0.297349 |
| sterile injection equipment | 0.370409 |
| addictive opioid drug | 0.508406 |
| bloodstream | 0.224104 |
| Medication-Assisted Treatment | 0.292511 |
| income levels | 0.310718 |
| Muhuri PK | 0.295107 |
| people | 0.539769 |
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| Gfroerer JC | 0.29432 |
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What States Need to Know about PDMPs |
null |
| health authorities | 0.417892 |
| recent prescriptions | 0.399977 |
| long interval | 0.391613 |
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| changes | 0.276484 |
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| utility | 0.308782 |
| range | 0.237223 |
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| states | 0.309265 |
| patient behaviors | 0.403611 |
| PDMP access | 0.400973 |
| polices | 0.246018 |
| ways | 0.237205 |
| nurse practitioners | 0.37069 |
| passive databases | 0.386989 |
| state health departments | 0.545513 |
| inappropriate prescribing trends | 0.53899 |
| timely information | 0.404456 |
| health care providers | 0.804614 |
| state PDMPs | 0.431961 |
| significant potential | 0.603309 |
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|
| significant implications | 0.387493 |
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| patient safety | 0.380466 |
| Promising practices | 0.410101 |
| multiple providers | 0.429215 |
| epidemic | 0.283739 |
| patients | 0.43507 |
| promising state-level interventions | 0.657765 |
| public health tool | 0.541881 |
| electronic database | 0.400217 |
| PDMP users | 0.402372 |
| prescription drug monitoring | 0.993952 |
| drug monitoring programs | 0.599928 |
| prescription history data | 0.570766 |
| highest risk | 0.370729 |
| certain circumstances | 0.393238 |
| substance abuse treatment | 0.600231 |
| opioid prescribing | 0.459769 |
| physician assistants | 0.37884 |
| PDMPs | 0.786746 |
| electronic health record | 0.54545 |
| allied health professionals | 0.542879 |
| substance prescriptions | 0.416676 |
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