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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 A-Z Index - C |
CDC A-Z Index |
| Clostridium tetani Infection | 0.772546 |
| Cryptosporidium Infection | 0.731759 |
| Corynebacterium diphtheriae Infection | 0.798609 |
| Bartonella henselae Infection | 0.783804 |
| Corynebacterium diphtheria Infection | 0.763609 |
| Clinical Laboratory Improvement | 0.734592 |
| CDC WONDER | 0.673635 |
| Nairovirus Infection | 0.71222 |
| Health Worker Resources | 0.725806 |
| Candida Infection | 0.766026 |
| (Cytomegalovirus Infection) | 0.76405 |
| Chlamydia pneumoniae Infection | 0.902711 |
| Trypanosoma cruzi Infection | 0.772031 |
| Crimean-Congo hemorrhagic fever | 0.682347 |
| Cancer Control Program | 0.758149 |
| Chronic Disease Notes | 0.680336 |
| CDC Drug Service | 0.70757 |
| CDC Surveillance Strategy | 0.704825 |
| Cystoisospora Infection | 0.728265 |
| Colorectal Cancer Control | 0.773578 |
| Riot Control Agents | 0.700585 |
| infection | 0.961035 |
| CDC Organization | 0.674823 |
| Countermeasure Inventory Tracking | 0.67477 |
|
| Capillaria Infection | 0.7662 |
| Clostridium botulinum Infection | 0.771077 |
| Clostridium difficile Infection | 0.868098 |
| CDC TV | 0.676879 |
| Clonorchis Infection | 0.747318 |
| C. gattii cryptococcosis | 0.685402 |
| Chlamydia psittaci Infection | 0.855209 |
| Cytomegalovirus Infection | 0.764857 |
| Chronic Disease Indicators | 0.743004 |
| Chronic Disease Resources | 0.696993 |
| Cat Scratch Disease | 0.753766 |
| Chlamydia trachomatis Disease | 0.683973 |
| Search The CDC | 0.698962 |
| (Campylobacter Infection) | 0.792136 |
| Chronic Kidney Disease | 0.713515 |
| Vibrio cholerae Infection | 0.765964 |
| Cyclospora Infection | 0.731733 |
| Chronic Disease Prevention | 0.685662 |
| Chronic Wasting Disease | 0.680692 |
| Community Health Worker | 0.723218 |
| Chlamyophila pneumoniae Infection | 0.786428 |
| Classic Creutzfeldt-Jakob Disease | 0.785347 |
| urinary tract infection | 0.820477 |
| CDC A-Z Index | 0.771454 |
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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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Salmonella Enteritidis Infections Associated with FoodsPurchased from Mobile Lunch Trucks - Alberta, Canada, October2010-February 2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| Outbreak SE | 0.605111 |
| infected catering employees | 0.587025 |
| unlicensed food facilities | 0.579961 |
| public health interventions | 0.629673 |
| robust health department | 0.613551 |
| health department inspections | 0.612462 |
| phage type | 0.701605 |
| lunch trucks | 0.996685 |
| pork dumplings | 0.663155 |
| food-handling duties | 0.585518 |
| Public Health Agency | 0.618334 |
| Alberta Health Services | 0.805316 |
| Salmonella Enteritidis | 0.637046 |
| Patient food histories | 0.578336 |
| food samples | 0.598337 |
| laboratory-confirmed Salmonella Enteritidis | 0.57603 |
| public health department | 0.672647 |
| eggs | 0.609492 |
| Human SE outbreak | 0.683172 |
| lunch truck customer | 0.662534 |
| lunch truck | 0.807573 |
| Illness onset dates | 0.609553 |
| SE-contaminated eggs | 0.582583 |
| lunch truck suppliers | 0.656384 |
| cooked pork dumplings | 0.58537 |
|
| employees | 0.601162 |
| outbreak cases | 0.747226 |
| Alberta public health | 0.589856 |
| laboratory culture-confirmed SE | 0.596152 |
| local health department | 0.578836 |
| caterer | 0.60801 |
| human SE infections | 0.587084 |
| recent large SE | 0.584841 |
| food-handling training courses | 0.578927 |
| catering company | 0.607933 |
| infected food handlers | 0.577496 |
| lunch truck operators | 0.644278 |
| public health | 0.767468 |
| health department | 0.691475 |
| food items | 0.601336 |
| SE phage type | 0.637302 |
| food | 0.674581 |
| local public health | 0.637084 |
| food-handling employee training | 0.578977 |
| catering facility | 0.657561 |
| lunch truck food | 0.630597 |
| safe food-handling procedures | 0.590717 |
| previously cooked food | 0.579774 |
| lunch truck drivers | 0.612124 |
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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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First Aid Recommendations | Lightning |
CDC provides lightning strike first aid recommendations including call for help, assess the situation, respond, and resuscitate with CPR. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
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Malaria | Diagnosis and Treatment (UnitedStates) |
Education and information regarding diagnosis and treatment of malaria in the United States. |
| Additional factors | 0.508967 |
| pregnancy status | 0.506733 |
| clinical advice | 0.504273 |
| malaria-endemic area | 0.52578 |
| weekends | 0.418864 |
| reference microscopic diagnosis | 0.615501 |
| individuals | 0.419018 |
| malaria treatment | 0.725561 |
| malaria parasite | 0.740239 |
| urgent issues | 0.509701 |
| accurate diagnosis | 0.522647 |
| serology | 0.430873 |
| clinicians | 0.41984 |
| organism | 0.421089 |
| probability | 0.418749 |
| specialized tests | 0.512576 |
| certain antimalarial drugs | 0.656908 |
| community | 0.418943 |
| person | 0.439985 |
| delays | 0.421995 |
| parasitic diseases | 0.51451 |
| available options | 0.506533 |
| PCR | 0.420378 |
| infection | 0.47125 |
| telediagnosis | 0.41822 |
|
| drug-resistance testing | 0.513534 |
| training | 0.418207 |
| malaria | 0.939307 |
| Health-care providers | 0.537105 |
| CDC Malaria Hotline | 0.863045 |
| adverse antimalarial drug | 0.653438 |
| technical assistance | 0.514004 |
| CDC Emergency Operation | 0.658167 |
| national reference center | 0.610145 |
| disease severity | 0.518224 |
| travel history | 0.527472 |
| email | 0.429085 |
| febrile patients | 0.540385 |
| malaria diagnosis | 0.791988 |
| Malaria Branch | 0.722627 |
| DPDx website | 0.521064 |
| 24-hour basis | 0.505072 |
| Fever | 0.421202 |
| spread | 0.41802 |
| antimalarial medication | 0.563585 |
| malaria cases | 0.720004 |
| appropriate treatment | 0.524726 |
| species | 0.41789 |
| pm Eastern Time | 0.58804 |
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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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