| 4867 |
Centers for Disease Control and Prevention |
Html |
en |
2010 Cholera Treatment Workshop Department Level |
CDC - Global Health |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 6589 |
Centers for Disease Control and Prevention |
Html |
en |
Percentage of Births That Were Home Births, by Maternal Race/Ethnicity - United States, 1990-2009* |
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. |
| mmwrq@cdc.gov. | 0.375137 |
| endorsement | 0.330131 |
| Alternate Text | 0.368125 |
| U.S. births | 0.587059 |
| Human Services | 0.418301 |
| assistive technology | 0.381056 |
| MMWR HTML versions | 0.413645 |
| U.S. Department | 0.411923 |
| identification | 0.311876 |
| pages | 0.311719 |
| electronic PDF version | 0.412913 |
| maternal race/ethnicity | 0.372245 |
| percentage | 0.352527 |
| e-mail | 0.328939 |
| Contact GPO | 0.373872 |
| commercial sources | 0.367644 |
| current prices | 0.363789 |
| total increase | 0.432311 |
| original paper copy | 0.414677 |
| Internet | 0.311759 |
| programs | 0.311705 |
| United States | 0.647914 |
| original MMWR paper | 0.411547 |
| gradual decline | 0.452069 |
|
| Superintendent | 0.313072 |
| assistance | 0.314039 |
| title | 0.313929 |
| content | 0.311724 |
| home births | 0.987709 |
| MMWR readers | 0.365573 |
| character translation | 0.364466 |
| file | 0.314112 |
| Persons | 0.314153 |
| home birth | 0.509044 |
| format errors | 0.362992 |
| subject line | 0.379166 |
| Health | 0.321941 |
| typeset documents | 0.365339 |
| trade names | 0.367688 |
| official text | 0.361864 |
| non-CDC sites | 0.365031 |
| References | 0.311775 |
| non-Hispanic white women | 0.818453 |
| report | 0.31392 |
| organizations | 0.311713 |
| information | 0.314121 |
| Accommodation | 0.313937 |
| electronic conversions | 0.361907 |
|
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| 9141 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - Potentially Effective Interventions for Asthma - Parents - Home |
Potentially Effective Interventions for Asthma - Parents - Home |
| 1-point average increase | 0.384605 |
| 5-week series | 0.361554 |
| health care provider | 0.400239 |
| Host community sites | 0.409642 |
| control group | 0.364309 |
| Natl Med Assoc | 0.409213 |
| correct instructional materials | 0.397985 |
| day-care centers | 0.361379 |
| asthma control survey | 0.640466 |
| peak flow meters | 0.392525 |
| asthma knowledge scores | 0.671624 |
| asthmatic children | 0.526334 |
| large single cohort | 0.396612 |
| pre-post test design | 0.404499 |
| primarily African-American parents | 0.403364 |
| life scores | 0.363128 |
| Inner-city community settings | 0.417186 |
| asthma | 0.913364 |
| asthma control | 0.74758 |
| *In asthma quiz | 0.6035 |
| post-instructional test scores | 0.408986 |
| Intervention Setting | 0.362892 |
| community centers | 0.370519 |
| appropriate reading levels | 0.396002 |
| urban asthmatic children | 0.449283 |
|
| Likert-type response scale | 0.393068 |
| asthma classes | 0.667717 |
| average test score | 0.397639 |
| asthma quality-of-life survey | 0.635673 |
| childhood asthma | 0.579747 |
| Children’s Hospital | 0.367882 |
| asthma scores | 0.586708 |
| community asthma prevention | 0.61527 |
| asthma self-management | 0.587166 |
| Community asthma education | 0.690629 |
| Self-referred parents | 0.368451 |
| Asthma books | 0.556803 |
| comprehensive medical records | 0.386939 |
| raw scores | 0.360327 |
| African-American asthmatic children | 0.438837 |
| community residents | 0.362315 |
| program classes | 0.360475 |
| Asthma curriculum | 0.601741 |
| parental perception | 0.398237 |
| higher scores | 0.36068 |
| asthma knowledge | 0.691303 |
| post-test scores | 0.365168 |
| asthma symptoms | 0.607499 |
| asthma management behaviors | 0.636645 |
|
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| 12538 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips From Former Smokers -- Shawn's Ad |
Shawn was 14 years old when he started smoking. He was in his midforties when a chronic cough and laryngitis turned out to be throat cancer. He finally quit smoking—but doctors were unable to save his larynx. He now has a stoma (opening) that allows him to breathe and a laryngeal implant that allows him to speak. In this TV ad from CDC's Tips From Former Smokers campaign, Shawn describes how life's ordinary tasks are more challenging with a stoma.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=4186c97bd032d0dc9612fec4c6707e4420140620143822468 |
| Shawn | 0.852758 |
| Smokers | 0.932887 |
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| CDC | 0.92604 |
| YouTube | 0.871802 |
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| 13488 |
Centers for Disease Control and Prevention |
Html |
en |
Surveillance for Waterborne Disease Outbreaks Associatedwith Drinking Water - United States, 2011-2012 |
Karlyn D. Beer, PhD1,2; Julia W. Gargano, PhD2; Virginia A. |
| untreated groundwater | 0.538331 |
| frequently reported outbreak | 0.50456 |
| Legionella pneumophila serogroup | 0.490967 |
| building plumbing systems | 0.529517 |
| CDC Waterborne Disease | 0.490344 |
| untreated surface water | 0.497738 |
| public health challenges | 0.506158 |
| Zoonotic Infectious Diseases | 0.486189 |
| public drinking water | 0.528619 |
| frequently reported etiology | 0.48304 |
| drinking water outbreaks | 0.662108 |
| noncommunity outbreaks | 0.570898 |
| waterborne disease outbreak | 0.506187 |
| individual water systems | 0.521742 |
| septic systems | 0.49425 |
| water treatment processes | 0.490857 |
| commonly reported illness | 0.491415 |
| private wells | 0.509494 |
| health care facilities | 0.55107 |
| Ground Water Rule | 0.529202 |
| non-Legionella bacteria | 0.571371 |
| drinking water–associated¶ waterborne | 0.515897 |
| drinking water–associated outbreaks | 0.743662 |
| outbreaks | 0.913564 |
| Environmental Protection Agency | 0.500768 |
|
| point-of-entry water filters | 0.486074 |
| Legionella outbreak | 0.478638 |
| bottled water | 0.485496 |
| previously unreported outbreaks | 0.594759 |
| waterborne disease outbreaks | 0.675714 |
| outbreak-associated cases | 0.52567 |
| surface water sources | 0.496989 |
| noncommunity groundwater systems | 0.501704 |
| public water systems | 0.546468 |
| public health | 0.588169 |
| community water systems††| 0.497477 |
| noncommunity systems | 0.484264 |
| noncommunity water systems | 0.756071 |
| water outbreak-associated cases | 0.506751 |
| cases | 0.532749 |
| Legionella outbreaks | 0.640587 |
| outbreak surveillance | 0.493458 |
| drinking water systems | 0.709746 |
| septic systems malfunction | 0.478912 |
| single-etiology outbreaks | 0.578828 |
| National Outbreak Reporting | 0.481194 |
| source water monitoring | 0.491801 |
| community water systems | 0.540074 |
| water systems | 0.895741 |
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| 13543 |
Centers for Disease Control and Prevention |
Html |
en |
Keeping Children Safe | CDC Features |
School is in session. Take three steps to protect them from emergencies. |
| water main break | 0.861677 |
| emergency stockpile | 0.598163 |
| session | 0.362347 |
| Parents | 0.358762 |
| special foods | 0.584532 |
| water pressure | 0.608413 |
| emergency | 0.608299 |
| students | 0.418854 |
| extras | 0.357198 |
| Diapers | 0.369625 |
| backpack contact information | 0.857002 |
| emergencies | 0.519953 |
| first-day pictures | 0.645434 |
| nearby schools | 0.603365 |
| school | 0.657749 |
| essential supplies | 0.587554 |
| children | 0.478068 |
| Atlanta | 0.358018 |
| pencils | 0.371655 |
| KB | 0.360436 |
| Inhaler | 0.384489 |
| Medications | 0.356454 |
|
| n’t working | 0.575221 |
| event | 0.35534 |
| warning—even | 0.355647 |
| Download | 0.35181 |
| backpack card | 0.628931 |
| Milk | 0.35329 |
| Battery pack | 0.584232 |
| evacuation | 0.365464 |
| wallet | 0.364387 |
| tornadoes | 0.365777 |
| water main breaks | 0.842877 |
| Bring extra medication | 0.834552 |
| new bus schedules | 0.92257 |
| bathrooms | 0.367724 |
| school policy | 0.580237 |
| special equipment | 0.574396 |
| phone | 0.351556 |
| flush toilets | 0.640379 |
| neighborhood | 0.361563 |
| Georgia | 0.357985 |
| quick steps | 0.642556 |
| notifications | 0.369684 |
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| 14208 |
Centers for Disease Control and Prevention |
Html |
null |
Hojas informativas y afiches | El virus del Zika | CDC |
Información sobre el virus del Zika. Facilitada por los Centros para el Control y la Prevención de Enfermedades de los EE. UU. |
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| 14488 |
Centers for Disease Control and Prevention |
Html |
en |
Areas with Zika |
Countries and territories with active Zika virus transmission... |
| mosquito-borne Zika virus | 0.651435 |
| CDC | 0.515263 |
| United States | 0.472251 |
| FL | 0.333244 |
| Brownsville | 0.440991 |
| Miami-Dade County | 0.517149 |
| countries | 0.331999 |
| yellow) area. | 0.906673 |
| people | 0.36862 |
|
| preconception counseling | 0.504493 |
| transmission | 0.337965 |
| world | 0.331796 |
| previous Zika | 0.62115 |
| territories | 0.348715 |
| guidance | 0.478948 |
| Texas | 0.365234 |
| risk | 0.331594 |
| travel | 0.330658 |
|
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| 16289 |
Centers for Disease Control and Prevention |
Html |
en |
Antibiotic / Antimicrobial Resistance |
null |
| CDC | 0.219846 |
| drug-resistant bacteria | 0.554985 |
| resistant bacteria | 0.500189 |
| Antibiotic Resistance Investment | 0.884769 |
| direct result | 0.42489 |
| United States | 0.421283 |
| antibiotic-resistant infections | 0.48706 |
| infectious diseases | 0.96492 |
|
| key AR activities | 0.748747 |
| diagnostic devices | 0.388255 |
| new antibiotic agents | 0.804214 |
| antimicrobial agents | 0.486574 |
| antibiotic resistance | 0.960659 |
| infectious organisms | 0.517575 |
| Learn healthy habits | 0.699676 |
| antibiotics | 0.441739 |
|
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| 16384 |
Centers for Disease Control and Prevention |
Html |
en |
Leading Causes of Cancer Mortality - Caribbean Region,2003-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Health Agency countries | 0.218623 |
| Puerto Rico | 0.532434 |
| prostate cancer ASMR | 0.229053 |
| United States | 0.352372 |
| cancer deaths | 0.916754 |
| Public Health Agency | 0.500601 |
| cancer-specific mortality rates | 0.365392 |
| cancer prevention priorities | 0.219665 |
| lung cancer | 0.266689 |
| heart disease | 0.208024 |
| Dutch-speaking Caribbean region | 0.221167 |
| causes | 0.208388 |
| cancer-related deaths | 0.358515 |
| U.S. Virgin Islands | 0.264853 |
| early detection | 0.253305 |
| pediatric cancers | 0.203511 |
| pediatric cancer deaths | 0.289343 |
| Caribbean Public Health | 0.510566 |
| World Health Organization | 0.286594 |
| mortality data | 0.261037 |
| colorectal cancer | 0.219932 |
| common cause | 0.264569 |
|
| females | 0.20749 |
| breast cancer | 0.34591 |
| cancer surveillance systems | 0.21659 |
| 3The Caribbean Public | 0.213702 |
| cervical cancers | 0.307791 |
| lung cancers | 0.226923 |
| death codes | 0.219233 |
| males | 0.202542 |
| cervical cancer | 0.314459 |
| human papillomavirus vaccination | 0.278974 |
| Caribbean region | 0.519325 |
| prostate cancer | 0.277495 |
| cancer control plans | 0.220216 |
| Central Cancer Registries | 0.217668 |
| Dutch-speaking Caribbean countries | 0.468508 |
| 5National Cancer Institute | 0.218436 |
| American Health Organization | 0.265492 |
| cancer mortality | 0.207307 |
| cancers | 0.347047 |
| nonresident deaths | 0.209515 |
| regional cancer-specific mortality | 0.213831 |
| age-standardized mortality rates | 0.283859 |
|
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