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International Travel with Your Pet | CDC Features |
Taking your faithful pooch or kitty on a flight? Make sure you’ve got your pet’s paperwork wherever you go—and bring it back with you, too. The United States expects the same documents regardless of whether your pet is a first-time traveler to the United States or is a returning from an international trip. |
| pets | 0.446973 |
| International Air Transport | 0.799367 |
| U.S. carriers | 0.435388 |
| Agriculture pet travel | 0.626235 |
| Blood tests | 0.454379 |
| family member | 0.43399 |
| U.S. Department | 0.718133 |
| special carriers | 0.44181 |
| trip | 0.448447 |
| different rules | 0.445584 |
| Northern Hemisphere | 0.443147 |
| hot destination | 0.463711 |
| shipping kennel | 0.443282 |
| Plant Health Inspection | 0.575358 |
| pet | 0.982567 |
| sturdy container | 0.442095 |
| different requirements | 0.559254 |
| pet’s documents | 0.514079 |
| specific ones | 0.447692 |
| destination country | 0.616752 |
| arrival times | 0.437556 |
| nighttime arrival | 0.438161 |
| separate flight | 0.445944 |
| rabies vaccination | 0.815935 |
| dog | 0.618579 |
|
| destination state | 0.456387 |
| flight | 0.51236 |
| United States | 0.977604 |
| dimly lit hold | 0.553223 |
| Purchase flights | 0.435191 |
| animal autopsy | 0.43397 |
| cabin | 0.447671 |
| ground handlers | 0.439793 |
| pet travel website | 0.836271 |
| natural position | 0.437981 |
| extreme heat | 0.434548 |
| Air Transport Association | 0.799318 |
| rabies vaccinations | 0.466711 |
| airline staff | 0.441098 |
| great place | 0.452373 |
| small dogs | 0.45046 |
| dog’s rabies | 0.485131 |
| rabies vaccination certificate | 0.587126 |
| fewer connections | 0.435272 |
| air cargo shipment | 0.766559 |
| medical care | 0.464163 |
| Different airlines | 0.449262 |
| final destination | 0.470619 |
| time | 0.471818 |
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NCIRD | DBD Bulletin Fall 2013 | Labs Pass CLIA |
Division of Bacterial Diseases Bulletin Fall |
| U.S. facilities | 0.694539 |
| Laboratory Improvement Amendments | 0.864705 |
| records | 0.530923 |
| documents | 0.530722 |
| important task | 0.667483 |
| Clinical | 0.533017 |
| DBD labs | 0.802487 |
| sites | 0.533561 |
| proficiency tests | 0.68327 |
| CLIA inspection | 0.975685 |
| Bacterial Diseases | 0.708085 |
| summer | 0.534605 |
| colors | 0.532057 |
|
| emphasis | 0.530817 |
| Division | 0.5345 |
| historical reasons | 0.720539 |
| CLIA-certified lab | 0.666915 |
| competency tests | 0.683391 |
| CDC laboratories—undergo | 0.715599 |
| important inspection | 0.684382 |
| extraordinary efforts | 0.696921 |
| health assessment | 0.69345 |
| human specimens | 0.700551 |
| Content | 0.537536 |
| page | 0.537467 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0295 |
The objective of this study was to use a life course model with multiple competing causes of death to elucidate the ongoing benefits of tobacco-use control efforts on US death rates. |
| smoking rates | 0.581287 |
| cause-specific mortality | 0.557534 |
| current cigarette smoking | 0.506954 |
| cessation rates | 0.757852 |
| National Health Interview | 0.529165 |
| smoking smoking initiation | 0.606309 |
| smoking reduction efforts | 0.530551 |
| lung cancer | 0.557148 |
| higher smoking prevalence | 0.523026 |
| Smoking behavior | 0.518876 |
| smoking status | 0.55435 |
| smoking prevalence lead | 0.530329 |
| Morb Mortal Wkly | 0.504874 |
| age-adjusted smoking prevalence | 0.551296 |
| tobacco-use control efforts | 0.63654 |
| heart disease | 0.522877 |
| life span | 0.503768 |
| smoothed cessation rates | 0.498477 |
| lifetime smoking prevalence | 0.530879 |
| cause-specific mortality rates | 0.500467 |
| Health Interview Survey | 0.528666 |
| life expectancy | 0.945026 |
| smoking cessation | 0.555397 |
| smoking intensity | 0.509685 |
| smoking prevalence | 0.810296 |
|
| smoking status change | 0.519695 |
| death | 0.546951 |
| United States | 0.660922 |
| life course | 0.523322 |
| passive smoking | 0.520585 |
| simulated smoking rates | 0.532056 |
| MMWR Morb Mortal | 0.504877 |
| cigarette smoking | 0.520319 |
| life expectancy gains | 0.562864 |
| smoking | 0.825713 |
| smoking attributable deaths | 0.532268 |
| Mortal Wkly Rep | 0.501449 |
| Coronary heart disease | 0.522308 |
| additional life expectancy | 0.524018 |
| life expectancy gain | 0.508545 |
| health | 0.576705 |
| lifelong smoking vs | 0.512162 |
| smoking abstention | 0.501972 |
| current smoking status | 0.535525 |
| various smoking scenarios | 0.522331 |
| reference scenario | 0.504571 |
| simulation model | 0.512321 |
| mortality | 0.642005 |
| annual cessation rates | 0.498227 |
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Preventing Chronic Disease | Prevalence, Disparities, and Trends in Obesity and Severe Obesity Among Students in the Philadelphia, Pennsylvania, School District, 2006"2010 - CDC |
Epidemic increases in obesity negatively affect the health of US children, individually and at the population level. Although surveillance of childhood obesity at the local level is challenging, height and weight data routinely collected by school districts are valuable and often underused public health resources. |
| public health issue | 0.380007 |
| public school children | 0.711358 |
| data | 0.459456 |
| school statewide BMI | 0.399996 |
| public health resources | 0.381484 |
| highest prevalence | 0.45466 |
| African Americans | 0.38744 |
| students | 0.508188 |
| childhood obesity epidemic | 0.506479 |
| girls | 0.395035 |
| Philadelphia School Reform | 0.387732 |
| weight data | 0.384567 |
| entire school population | 0.382641 |
| New York City | 0.592533 |
| school health environments | 0.380826 |
| severe obesity face | 0.493177 |
| Philadelphia Department | 0.389366 |
| African American girls | 0.388968 |
| charter schools | 0.375512 |
| reduced-price meals | 0.372258 |
| public health surveillance | 0.373127 |
| obesity prevalence | 0.557034 |
| child obesity | 0.447745 |
| public health | 0.456374 |
|
| trends | 0.382274 |
| school districts | 0.38142 |
| Philadelphia public school | 0.489967 |
| 99th percentile | 0.467413 |
| CDC growth charts | 0.380632 |
| African American boys | 0.389938 |
| reduced-price school meals | 0.377851 |
| total school population | 0.410375 |
| childhood obesity | 0.632244 |
| high school students | 0.486796 |
| Philadelphia public schools | 0.438199 |
| School Health | 0.381695 |
| recent school | 0.377437 |
| secure school district | 0.389277 |
| Philadelphia data | 0.378491 |
| baseline prevalence | 0.374738 |
| lower overall prevalence | 0.387445 |
| public school students | 0.412474 |
| Drexel University School | 0.370568 |
| school district | 0.627362 |
| severe obesity | 0.984599 |
| severe obesity prevalence | 0.550575 |
| Philadelphia | 0.502399 |
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Centers for Disease Control and Prevention |
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La historia de Mariano - Historias de la vida real - Consejos de exfumadores |
La historia de Mariano, un ex fumador que casi le da un ataque al corazón, es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.661802 |
| Archivo RealPlayer | 0.542725 |
| Archivo Zip Comprimido | 0.65639 |
| Archivo Microsoft PowerPoint | 0.69839 |
|
| Archivo Microsoft Excel | 0.663814 |
| Archivo Adobe PDF | 0.663195 |
| Archivo Microsoft | 0.967893 |
| Archivo Microsoft Word | 0.693567 |
|
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Centers for Disease Control and Prevention |
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CDC Newsroom Image Library Disease Prevention | CDC Media Relations |
Free public health images, medical images, high-resolution, public domain images. |
| intramuscular vaccination | 0.305269 |
| Centers | 0.270166 |
| James Gathany | 0.786099 |
| Description | 0.297392 |
| injection site | 0.231138 |
| left shoulder muscle | 0.445479 |
| intramuscular immunization | 0.251611 |
| left thigh muscle | 0.203909 |
| Prevention | 0.270023 |
|
| PHIL ID number | 0.258556 |
| Disease Control | 0.785523 |
| intramuscular injection | 0.222021 |
| Registered Nurse Marie | 0.206726 |
| PHIL ID | 0.993162 |
| healthcare practitioner administers | 0.24049 |
| nurse | 0.279736 |
| Photo Credit | 0.868253 |
| Download High Resolution | 0.591716 |
|
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Centers for Disease Control and Prevention |
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Anthrax'Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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12 Ways to Have a Healthy Holiday Season | CDC Features |
Take steps to keep you and your loved ones safe and healthy. |
| certain diseases | 0.760183 |
| Health Insurance Marketplace | 0.919159 |
| vaccinations | 0.667336 |
| health care provider | 0.930899 |
| booster seat | 0.799955 |
| danger | 0.631332 |
| holidays | 0.661883 |
| children | 0.690879 |
| road | 0.631481 |
| residential fires | 0.764078 |
| secondhand smoke | 0.775796 |
| cook foods | 0.755849 |
| germs | 0.642386 |
| portion sizes | 0.757801 |
| holiday health podcast | 0.908824 |
| warm layers | 0.792358 |
| tobacco smoke | 0.767192 |
| Smokers | 0.630756 |
| priority | 0.633547 |
| drink | 0.647933 |
| food cooking | 0.757639 |
| nonsmokers | 0.639857 |
| Wear | 0.630777 |
| drive | 0.631316 |
| clean running water | 0.93954 |
|
| best ways | 0.779712 |
| Health Holiday Song | 0.911777 |
| flu vaccine | 0.779099 |
| motor vehicle | 0.775512 |
| waterproof boots | 0.782894 |
| Eat fruits | 0.767921 |
| proper temperatures | 0.758391 |
| appropriate outdoor clothing | 0.935446 |
| Wash hands | 0.834031 |
| greater health risks | 0.936783 |
| cross-contamination | 0.639513 |
| emergency plan | 0.763933 |
| child safety seat | 0.948373 |
| stress | 0.653771 |
| good health | 0.78489 |
| space heaters | 0.75964 |
| control | 0.632021 |
| Practice fire safety | 0.766748 |
| simple steps | 0.768436 |
| potential accidents | 0.762318 |
| family history | 0.776054 |
| flu season | 0.812651 |
| ones | 0.66361 |
| Fasten seat belts | 0.95812 |
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Centers for Disease Control and Prevention |
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Intoxicación con Monóxido de Carbono Preguntas Frecuentes |
Datos sobre la intoxicación por monóxido de carbono |
| altos niveles | 0.526923 |
| Archivo Apple Quicktime | 0.61146 |
| gas inodoro | 0.545537 |
| habitación estén | 0.511239 |
| Archivo Zip Comprimido | 0.606608 |
|
| Archivo Microsoft PowerPoint | 0.630099 |
| Archivo Adobe PDF | 0.607985 |
| Archivo Microsoft Excel | 0.60224 |
| ventanas estén | 0.494318 |
| Archivo Microsoft | 0.911349 |
|
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Public Confidence in the Health Care System 1 Year After theStart of the Ebola Virus Disease Outbreak - Sierra Leone, July 2015| MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Ebola treatment | 0.465527 |
| Leone National Ebola | 0.519316 |
| future Ebola response | 0.480579 |
| overwhelmed health care | 0.422961 |
| Ebola control efforts | 0.504108 |
| Ebola infection | 0.454488 |
| Ebola response capabilities | 0.511938 |
| health promotion campaigns | 0.443921 |
| Ebola outbreak | 0.602343 |
| public health challenges | 0.408971 |
| health care delivery | 0.422694 |
| stronger Ebola response | 0.488023 |
| 5-point Likert scale | 0.451785 |
| Ebola transmission | 0.558146 |
| ebola response | 0.558394 |
| health care facility | 0.549999 |
| active Ebola transmission | 0.522598 |
| health care messages | 0.42338 |
| active districts | 0.455081 |
| global health | 0.41977 |
| Ebola case count | 0.483315 |
| respondents | 0.419909 |
| protracted Ebola epidemic | 0.492145 |
| health care facilities | 0.443051 |
|
| public health practice | 0.419872 |
| Ebola patients | 0.45773 |
| Ebola | 0.846297 |
| global health security | 0.413964 |
| Ebola virus disease | 0.576572 |
| Ebola epidemic | 0.594829 |
| ongoing Ebola transmission | 0.501035 |
| maternity care | 0.448144 |
| Sierra Leone | 0.841357 |
| Ebola cases | 0.581497 |
| higher education levels | 0.425971 |
| Ebola case | 0.500771 |
| health care workers | 0.423889 |
| health care | 0.985234 |
| public confidence | 0.465041 |
| participants | 0.410358 |
| confidence | 0.572797 |
| confidence levels | 0.411277 |
| Ebola incidence | 0.460123 |
| survey measured confidence | 0.413773 |
| Ebola care | 0.529251 |
| higher confidence | 0.478624 |
| Sierra Leone Ministry | 0.420846 |
| important health issues | 0.458061 |
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