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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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DVDs and Videos - Seven Deadly Myths - Myth 1 - Smoking & Tobacco Use |
Return to Index Next. |
| hump | 0.343463 |
| feels | 0.337704 |
| half | 0.337399 |
| anybody | 0.341743 |
| truck | 0.342931 |
| father | 0.336652 |
| kid | 0.335771 |
| Lung cancer emphysema | 0.67114 |
| long-term smokers | 0.496792 |
| video | 0.336364 |
| body | 0.335484 |
| life | 0.336494 |
| lung cancer | 0.926143 |
| head | 0.335337 |
| Christy Turlington | 0.815101 |
| old daughter | 0.458877 |
| responsibility | 0.336134 |
| things | 0.386404 |
| senseless death | 0.510354 |
| pleasant way | 0.465299 |
| fat face | 0.472664 |
| possibility | 0.34295 |
|
| Pam Laffin | 0.66331 |
| Dr. Bill Lloyd | 0.485047 |
| rest | 0.334991 |
| heart disease… | 0.476717 |
| cigarette | 0.338265 |
| complications | 0.337077 |
| childhood | 0.335341 |
| bronchitis | 0.34263 |
| diseases | 0.338097 |
| asthma | 0.33755 |
| medication | 0.335654 |
| ambulance | 0.36885 |
| smoking related illness | 0.619281 |
| Cigarettes | 0.338912 |
| neck | 0.33533 |
| rejection | 0.338875 |
| doctor | 0.335981 |
| Meet Pam Laffin | 0.652642 |
| chances | 0.344825 |
| household | 0.371487 |
| uhm | 0.418685 |
| Female Voice | 0.503056 |
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| 6380 |
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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Centers for Disease Control and Prevention |
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Preventing Chronic Disease Environmental Approaches in Obesity Prevention - CDC |
As obesity prevention initiatives increasingly shift toward approaches focused on policy, systems, and environmental change, opportunities to share experiences from the field and lessons learned are growing. |
| traditional success stories | 0.480298 |
| public health policies | 0.502802 |
| public health practitioners | 0.505663 |
| various state health | 0.498969 |
| Collect story data | 0.504604 |
| active living | 0.494406 |
| increase physical activity | 0.469126 |
| state health departments | 0.976388 |
| DNPAO stories | 0.575271 |
| story development | 0.502988 |
| health department staff | 0.561576 |
| obesity prevention | 0.504322 |
| state-based program | 0.489301 |
| data collection form | 0.628718 |
| promotion success story | 0.469054 |
| obesity prevention efforts | 0.489812 |
| various public health | 0.47257 |
| key stakeholders | 0.503724 |
| efforts | 0.518318 |
| Incorporate varied stories | 0.473206 |
| field | 0.49013 |
| PSE approachesDescribed state | 0.468393 |
| health department representatives | 0.495796 |
| public health policy | 0.48078 |
| specific public health | 0.468086 |
|
| potential story contributors | 0.486968 |
| similar stories | 0.486643 |
| public health initiatives | 0.482605 |
| health department efforts | 0.481224 |
| state health department | 0.788313 |
| state stories | 0.481745 |
| state health | 0.992633 |
| local health departments | 0.501327 |
| State-Based NPAO Program | 0.484428 |
| public health | 0.706963 |
| public health organizations | 0.480601 |
| potential public health | 0.475407 |
| CDC staff | 0.55284 |
| stories | 0.790555 |
| initiative | 0.510426 |
| target population | 0.478735 |
| Health equityDescribed state | 0.476699 |
| physical activity | 0.509456 |
| public health problem | 0.471947 |
| public health efforts | 0.493842 |
| policy makers | 0.534618 |
| PSE strategies | 0.487752 |
| public health sector | 0.478722 |
| story development process | 0.474314 |
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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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Treating Hypothermia'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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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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Evaluating the Effects of Coping Style on Allostatic Load, by Sex: The Jackson Heart Study, 2000–2004 |
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. |
| mental health | 0.442173 |
| allostatic load measure | 0.500902 |
| systolic blood pressure | 0.473318 |
| Coping Strategies Inventory-Short | 0.48878 |
| allostatic load scores | 0.744544 |
| Minority Health | 0.43745 |
| health disparities | 0.491828 |
| diastolic blood pressure | 0.440498 |
| smoking status | 0.447123 |
| global allostatic load | 0.556887 |
| Future longitudinal investigations | 0.438498 |
| Res Public Health | 0.444365 |
| multivariable linear regressions | 0.438524 |
| Baecke physical activity | 0.437292 |
| disengagement scale | 0.448061 |
| waist circumference | 0.464572 |
| disengagement coping styles | 0.51847 |
| Public Health Sciences | 0.446853 |
| Coping Strategies Inventory | 0.507488 |
| Public Health | 0.549099 |
| United States | 0.453015 |
| African Americans | 0.489815 |
| disengagement styles | 0.458881 |
| positive coping styles | 0.580584 |
| alcohol consumption | 0.445879 |
|
| African American adults | 0.497658 |
| allostatic load levels | 0.519983 |
| Heart Study cohort | 0.442631 |
| National Institute | 0.456342 |
| primary drivers | 0.437592 |
| African American women | 0.533363 |
| Jackson Heart Study | 0.683423 |
| Rhode Island | 0.452598 |
| white blood cell | 0.439644 |
| allostatic load | 0.915644 |
| higher disengagement | 0.44942 |
| individual allostatic load | 0.55356 |
| disengagement coping style | 0.520113 |
| Coping resources | 0.457503 |
| Arch Intern Med | 0.45495 |
| total cholesterol–high density | 0.436832 |
| physical activity | 0.508586 |
| allostatic load components | 0.573193 |
| negative coping styles | 0.499657 |
| multivariable linear regression | 0.460294 |
| Brown University School | 0.509184 |
| et al | 0.450246 |
| higher allostatic load | 0.683476 |
| elevated allostatic load | 0.49696 |
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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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