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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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Tellurium hexafluoride - NIOSH Pocket Guide to Chemical Hazards |
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| 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 |
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| short lectures | 0.255339 |
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| 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 |
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| analysis methods | 0.271233 |
| primary goal | 0.267083 |
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| 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 |
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| harmful materials | 0.623927 |
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| genetic counseling | 0.692481 |
| previous pregnancy | 0.527101 |
| early death | 0.530586 |
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| 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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| 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 |
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| media availability | 0.39914 |
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| autism spectrum disorders | 0.720338 |
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Test Your Knowledge of Spina Bifida | CDC Features |
With quality medical care, people with spina bifida can lead full, healthy lives. If you have spina bifida, it’s important to get the facts so that you can make the best possible health care choices |
| pregnancies | 0.406207 |
| country | 0.405485 |
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| CDC | 0.477897 |
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| number | 0.415281 |
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| Disease Control | 0.431922 |
| children | 0.415755 |
| outcomes | 0.405531 |
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| kidney damage | 0.429006 |
| prevention | 0.41112 |
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| high health care | 0.457514 |
| broad multi-site clinic | 0.455903 |
| researchers | 0.405195 |
| difficulty | 0.405613 |
| standards | 0.405541 |
| condition | 0.412516 |
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| choices | 0.405613 |
| problems | 0.405291 |
| healthcare providers | 0.43 |
| Centers | 0.405656 |
| United States | 0.457718 |
| healthy lives | 0.433873 |
| adults | 0.405443 |
| National Spina Bifida | 0.630611 |
| babies | 0.411577 |
| kidneys | 0.406826 |
| facts | 0.405789 |
| life | 0.405635 |
| healthcare professionals | 0.428666 |
| quiz | 0.406418 |
| Patient Registry | 0.430409 |
| CDC scientists | 0.445203 |
| families | 0.405717 |
| people | 0.425197 |
| way | 0.40536 |
| organization | 0.405353 |
| baby | 0.409532 |
| information | 0.405498 |
| possible health care | 0.458317 |
| hospitalizations | 0.408383 |
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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 |
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| nonmedical pain | 0.299742 |
| alcohol | 0.234273 |
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| heroin | 0.938912 |
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| Non-Hispanic whites | 0.309253 |
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| age groups | 0.311218 |
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| 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 |
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| heroin-related overdose deaths | 0.596693 |
| large metropolitan area | 0.378058 |
| life-saving drug | 0.297349 |
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| bloodstream | 0.224104 |
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| income levels | 0.310718 |
| Muhuri PK | 0.295107 |
| people | 0.539769 |
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Vaccination Coverage Among Children Aged 19-35 Months -United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
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