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Vaccination Coverage Among Persons with Asthma - UnitedStates, 2010-2011 Influenza Season |
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. |
| influenza vaccination coverage | 0.623236 |
| U.S. civilian population | 0.416341 |
| current vaccination | 0.39207 |
| National Health Interview | 0.383237 |
| trigger asthma attacks | 0.450659 |
| seasonal influenza vaccination | 0.490409 |
| vaccination coverage | 0.742164 |
| highest vaccination coverage | 0.41209 |
| vaccination status | 0.411012 |
| higher influenza vaccination | 0.43067 |
| flu vaccination | 0.416548 |
| current asthma | 0.93113 |
| asthma groups | 0.412272 |
| health insurance coverage | 0.488782 |
| current asthma versus | 0.437695 |
| Health Interview Survey | 0.385791 |
| asthma attack | 0.489481 |
| age groups | 0.451107 |
| persons | 0.538787 |
| annual influenza vaccination | 0.537321 |
| family size | 0.385882 |
| influenza vaccine coverage | 0.388551 |
| child | 0.411613 |
| season-specific influenza vaccination | 0.432927 |
|
| higher vaccination coverage | 0.408173 |
| current asthma stratum | 0.435048 |
| health-care visits | 0.46769 |
| national vaccination coverage | 0.422678 |
| usual place | 0.465789 |
| health care | 0.438237 |
| Ñ?ЛП
Asthma | 0.433596 |
| influenza season | 0.499949 |
| family income | 0.392742 |
| urgent care center | 0.386059 |
| flu nasal spray | 0.377786 |
| following survey questions | 0.715432 |
| health | 0.499606 |
| asthma status | 0.441133 |
| vaccination efforts | 0.387187 |
| influenza vaccination | 0.758093 |
| ED/urgent care visit | 0.509722 |
| asthma diagnoses | 0.414639 |
| recent flu | 0.397575 |
| annual vaccination recommendation | 0.406014 |
| flu shot | 0.398144 |
| asthma education | 0.415478 |
| response | 0.398356 |
| flu season | 0.391978 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Chikungunya Virus Spreads in theAmericas — Caribbean and South America, 2013–2014 |
Marc Fischer, MD1, J. Erin Staples, MD1 (Author affiliations at end of text). |
| South America | 0.267076 |
| common clinical findings | 0.308538 |
| national passive surveillance | 0.301171 |
| virus transmission | 0.306091 |
| J. Erin Staples | 0.322793 |
| Marc Fischer | 0.318756 |
| autochthonous cases | 0.295484 |
| mosquito-borne alphavirus | 0.267229 |
| suspected chikungunya cases | 0.501269 |
| state health departments | 0.368695 |
| Zoonotic Infectious Diseases | 0.298334 |
| Saint Kitts | 0.280512 |
| recent chikungunya virus | 0.536672 |
| laboratory-confirmed chikungunya cases | 0.55902 |
| locally transmitted case | 0.301524 |
| World Health Organization | 0.328443 |
| diagnostic testing | 0.29681 |
| recent outbreaks | 0.263487 |
| dengue virus | 0.308404 |
| travelers | 0.309447 |
| wear long sleeves | 0.296548 |
| Saint Barthelemy | 0.338495 |
| Aedes aegypti | 0.27555 |
| chikungunya virus infections | 0.515861 |
| Puerto Rico | 0.31834 |
|
| nationally notifiable disease | 0.305291 |
| French Guiana | 0.268239 |
| United States | 0.483166 |
| Aedes species mosquitoes | 0.313209 |
| chikungunya virus | 0.953062 |
| Saint Vincent | 0.27723 |
| Puerto Rico Department | 0.29774 |
| local health department | 0.311427 |
| local transmission | 0.542461 |
| Saint Martin | 0.544811 |
| Sint Maarten | 0.331254 |
| acute onset | 0.315396 |
| U.S. cases | 0.278336 |
| Author affiliations | 0.265035 |
| chikungunya virus infection | 0.734567 |
| 1Arboviral Diseases Branch | 0.299742 |
| Western Hemisphere | 0.26636 |
| primary amplifying host | 0.313529 |
| Aedes albopictus mosquitoes | 0.329737 |
| U.S. states | 0.296498 |
| Saint Lucia | 0.279106 |
| chikungunya cases | 0.828652 |
| Dominican Republic | 0.388407 |
| British Virgin Islands | 0.319511 |
|
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Centers for Disease Control and Prevention |
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Alzheimer's Disease |
Alzheimers is the most common form of dementia. A progressive disease beginning with mild memory loss possibly leading to loss of the ability to carry on a conversation and respond to the environment. Involves parts of the brain that control thought, memory, and language. Can seriously affect a person’s ability to carry out daily activities. |
| caregiver copes | 0.440017 |
| Tejada-Vera B. | 0.473905 |
| Alzheimer disease | 0.552486 |
| vitamin folate | 0.44082 |
| care needs | 0.439996 |
| health care provider | 0.538073 |
| Repeats questions | 0.44199 |
| common form | 0.446255 |
| high cholesterol | 0.440029 |
| best known risk | 0.475545 |
| memory problems | 0.470606 |
| low levels | 0.440423 |
| clinical trials | 0.439315 |
| financial planning | 0.439349 |
| National Center | 0.487456 |
| family members | 0.439283 |
| risk factors | 0.439589 |
| NCHS data brief | 0.46885 |
| Tejada-Vera B. Deaths | 0.464069 |
| social activities | 0.440272 |
| Heron M. Deaths | 0.464377 |
| symptoms | 0.441605 |
| Younger people | 0.443817 |
| mental function | 0.439364 |
| Displays poor judgment | 0.471165 |
|
| improved family relationships | 0.46939 |
| different aspects | 0.43944 |
| progressive disease | 0.470934 |
| United States | 0.57291 |
| Alzheimer’s disease | 0.954971 |
| nearly three-fold increase | 0.474005 |
| daily activities | 0.443904 |
| single cause | 0.482937 |
| odd places | 0.440328 |
| Health Statistics. | 0.488742 |
| risk increases | 0.44173 |
| heart disease | 0.48911 |
| Tejada-Vera B. Mortality | 0.46616 |
| vital statistics reports | 0.529871 |
| National vital statistics | 0.52726 |
| National Institute | 0.476594 |
| warning signs | 0.439383 |
| people | 0.453856 |
| current research | 0.442376 |
| Family history—researchers | 0.442507 |
| mild memory loss | 0.483425 |
| high blood pressure | 0.474901 |
| Hebert LE | 0.474649 |
| normal daily tasks | 0.471327 |
|
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Centers for Disease Control and Prevention |
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CERCLA Priority List of Hazardous Substances |
ATSDR's Substance-Specific Priority Data Needs (PDNs) |
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CLICK HERE |
| 9274 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0232 |
Volumen 10 — el 23 de mayo de 2013. |
| Wellness Policy Initiative | 0.841187 |
| Monica Griffin | 0.671234 |
| Child Care Centers | 0.812105 |
| Evers S | 0.684559 |
| mejores prácticas | 0.54005 |
| Maalouf J | 0.603507 |
| Sarah Evers | 0.70057 |
| Policy Assessment | 0.67555 |
| Joyce Maalouf | 0.643233 |
|
| Physical Activity | 0.673933 |
| importantes mejoras | 0.976407 |
| Davis J | 0.618989 |
| Lyn R | 0.667623 |
| Rodney Lyn | 0.694462 |
| Justin Davis | 0.626048 |
| Observation Outcomes | 0.677917 |
| Griffin M | 0.628525 |
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Centers for Disease Control and Prevention |
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Carditis - Symptoms - Lyme Disease |
What is Lyme carditis, and what are the symptoms? How common is Lyme carditis? How is Lyme carditis treated? |
| Lyme disease | 0.819057 |
| body aches | 0.543807 |
| specific symptoms | 0.545746 |
| Ritter JM | 0.538403 |
| Disease Control | 0.541476 |
| lower chambers | 0.547584 |
| unexplained cardiac symptoms | 0.594009 |
| Morb Mortal Wkly | 0.56944 |
| additional cases | 0.540612 |
| AV node | 0.58032 |
| Pride YB | 0.536568 |
| Lyme disease cases | 0.674958 |
| Cardiac tropism | 0.557241 |
| Borrelia burgdorferi | 0.539939 |
| antibiotic treatment | 0.540809 |
| electrical signals | 0.545002 |
| patients | 0.545083 |
| heart block | 0.688345 |
| temporary pacemaker | 0.541254 |
| national surveillance data | 0.573028 |
| lyme carditis | 0.985974 |
| slower rate | 0.537445 |
| degree heart block | 0.591505 |
| atrioventricular node | 0.543468 |
| normal movement | 0.542751 |
|
| Kratz NR | 0.538696 |
| electrical signal | 0.604035 |
| new cases | 0.538517 |
| United States | 0.537951 |
| sudden cardiac death | 0.658569 |
| Paddock CD | 0.536768 |
| Sudden Cardiac Deaths | 0.605535 |
| Forrester JD | 0.574635 |
| Health-care providers | 0.537695 |
| Ng DL | 0.53704 |
| DeLeon Carnes | 0.538579 |
| possible tick exposure | 0.567461 |
| Lyme disease bacteria | 0.689533 |
| medical examiners | 0.536894 |
| medical journals | 0.540046 |
| Infectious Disease Clinics | 0.571613 |
| Ertel SH | 0.539001 |
| bite prevention strategies | 0.566947 |
| heart palpitations | 0.559051 |
| Zaki SR | 0.577414 |
| erythema migrans rash | 0.579277 |
| chest pain | 0.538468 |
| White JL | 0.536609 |
| Schulz TJ | 0.536895 |
|
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Trying to Decide about Raw Milk? - Food Safety |
Information about the risks of consuming raw milk. |
| store milk | 0.459848 |
| high enough temperature | 0.312936 |
| healthy adults | 0.308966 |
| bacteria | 0.225365 |
| taste | 0.225563 |
| Harmful germs | 0.358072 |
| drinking raw milk | 0.642208 |
| smell | 0.2275 |
| long enough time | 0.313284 |
| best decision | 0.308615 |
| raw milk | 0.953048 |
| decisions | 0.227152 |
| diet | 0.249886 |
| healthy lifestyle | 0.330134 |
|
| risky options | 0.314536 |
| local farmers | 0.322266 |
| people | 0.250412 |
| steps | 0.22668 |
| home | 0.223631 |
| fewer processed foods | 0.427433 |
| heating milk | 0.468802 |
| claims | 0.223991 |
| pasteurization | 0.26915 |
| practice sanitary handling | 0.399596 |
| step | 0.226463 |
| disease-causing germs | 0.358541 |
| health benefits | 0.299607 |
| family | 0.240599 |
|
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Get Involved | Campaign Partners | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS |
List of partner organizations of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Colonoscopy Screening Among US Adults Aged 40 or Older Witha Family History of Colorectal Cancer |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| Screening promotion | 0.485753 |
| colonoscopy screening | 0.687712 |
| health insurance | 0.538098 |
| CRC syndromes | 0.483088 |
| National Health Interview | 0.50876 |
| odds ratio | 0.45831 |
| first-degree relatives | 0.977294 |
| American Cancer Society | 0.462789 |
| conventional screening age | 0.549749 |
| recent screening test | 0.480853 |
| colorectal cancer screening | 0.482611 |
| CRC family history | 0.689288 |
| nonfirst-degree relatives | 0.604929 |
| colorectal cancer | 0.546846 |
| CRC screening | 0.610455 |
| colonoscopy rate | 0.570307 |
| non-first-degree relatives | 0.47733 |
| Health Interview Survey | 0.508675 |
| CRC incidence | 0.570359 |
| older age groups | 0.48251 |
| CRC screening–eligible respondents | 0.514521 |
| colonoscopy completion | 0.483184 |
| low colonoscopy rate | 0.497205 |
| colonoscopy coverage | 0.478307 |
|
| Timely screening | 0.462574 |
| sporadic CRC patients | 0.536148 |
| study | 0.461988 |
| colonoscopy screening rates | 0.622158 |
| family history question | 0.474441 |
| younger age group | 0.467579 |
| older CRC patients | 0.520389 |
| younger first-degree relatives | 0.618404 |
| CRC mortality | 0.503458 |
| CRC screening test | 0.537655 |
| Introduction
Colonoscopy | 0.495089 |
| screening age group | 0.483901 |
| CRC patients | 0.71136 |
| cancer family history | 0.4851 |
| colonoscopy rates | 0.506779 |
| early screening | 0.457396 |
| CRC prevention | 0.479914 |
| CRC increases | 0.489255 |
| total CRC deaths | 0.50633 |
| effective screening tool | 0.477479 |
| reduces colorectal cancer | 0.457911 |
| potential CRC family | 0.502227 |
| family history | 0.856993 |
| Younger CRC patients | 0.533507 |
|
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Well-Being Concepts | HRQOL |
null |
| mental well-being | 0.583439 |
| positive affect | 0.497969 |
| mental health | 0.546297 |
| health surveillance well-being | 0.592127 |
| Diener E. Subjective | 0.503384 |
| individual well-being | 0.59435 |
| health promotion | 0.492926 |
| General Well-Being Schedule | 0.577302 |
| higher well-being | 0.576661 |
| Diener E. Reexamining | 0.469434 |
| Warr P. Well-being | 0.565177 |
| Diener E. Unemployment | 0.470174 |
| Ed Diener | 0.483103 |
| well-being instruments | 0.595101 |
| T. Subjective well-being | 0.596548 |
| well-being measures | 0.598977 |
| psychologal well-being | 0.575147 |
| Diener E. | 0.533007 |
| public health surveillance | 0.485069 |
| life satisfaction | 0.545682 |
| A. Well-being assessment | 0.572102 |
| Social Psychology | 0.479779 |
| E. The well-being | 0.573956 |
| positive emotions | 0.515704 |
|
| public health | 0.560836 |
| measure self-reported well-being | 0.611406 |
| H. Subjective well-being | 0.605635 |
| New York | 0.686613 |
| RJ Larsen | 0.47639 |
| well-being scale | 0.584754 |
| Russell Sage Foundation | 0.561204 |
| subjective well-being | 0.973683 |
| general psychological well-being | 0.582575 |
| well-being scales | 0.556113 |
| positive mental health | 0.510242 |
| emotional well-being | 0.59634 |
| psychological well-being | 0.625821 |
| subjective well-being data | 0.604281 |
| public policy | 0.48191 |
| mental health domain | 0.484704 |
| Helliwell J. Well-Being | 0.588473 |
| Guilford Press | 0.481606 |
| well-being encompasses | 0.575062 |
| E. Assessing well-being | 0.590426 |
| M. Ed Diener | 0.470226 |
| overall well-being | 0.59294 |
| Diener | 0.538687 |
|
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