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Centers for Disease Control and Prevention |
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Who Should NOT Get Vaccinated with these Vaccines? |
Because of age, health conditions, or other factors, some people should not get certain vaccines or should wait before getting them. Read the guidelines below for each vaccine. |
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Centers for Disease Control and Prevention |
Html |
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Using social media to communicate child health information to low-income parents. |
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| Austin Regional Campus | 0.585013 |
| Del Valle Children | 0.478264 |
| Prev Chronic Dis | 0.493074 |
| Susan Dell Foundation | 0.480484 |
| Houston institutional review | 0.481734 |
| health information | 0.806776 |
| effective way | 0.530905 |
| Texas Health Science | 0.51846 |
| online information | 0.461806 |
| Stephanie J. Stroever | 0.474874 |
| Spanish-speaking low-income parents | 0.514147 |
| Michael S. Mackert | 0.567702 |
| health promotion resources | 0.511609 |
| Healthy Living | 0.53062 |
| Stephanie J. | 0.491939 |
| Newest Vital Sign | 0.47921 |
| social media applications | 0.509444 |
| Social networking sites | 0.500169 |
| lack | 0.469725 |
| Alfred L. McAlister | 0.475844 |
| Health messages | 0.463444 |
| standard recruitment guidelines | 0.485826 |
| low health literacy | 0.505822 |
| new channel | 0.480031 |
| texas school | 0.541981 |
|
| health information resource | 0.527956 |
| Public Health | 0.503207 |
| demographic information | 0.463833 |
| adolescent health | 0.471801 |
| larger-scale quantitative investigation | 0.473526 |
| qualitative data | 0.493768 |
| commonly used application | 0.479463 |
| Deanna M. Hoelscher | 0.58033 |
| focus groups | 0.621065 |
| Functional Health Literacy | 0.505346 |
| Susan Dell Center | 0.63666 |
| social media | 0.963996 |
| participants | 0.610357 |
| child health information | 0.681828 |
| social media outlets | 0.504631 |
| classic analysis strategy | 0.482159 |
| health clinic | 0.471233 |
| central Texas school | 0.497225 |
| children’s health | 0.587346 |
| low-income populations | 0.510413 |
| L. McAlister | 0.494705 |
| predominantly Hispanic parents | 0.499115 |
| social media sites | 0.565187 |
| overall communication strategy | 0.557424 |
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| 7268 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Outbreak of Influenza A (H3N2) Virus Among Persons and Swine at a County Fair - Indiana, July 2012 |
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 | 0.875679 |
| Lenee Blanton | 0.760909 |
| mmwrq@cdc.gov. | 0.709701 |
| nationally notifiable disease | 0.761009 |
| respiratory illness | 0.789702 |
| chain reaction testing | 0.778651 |
| Influenza Div | 0.769848 |
| original MMWR paper | 0.766524 |
| U.S. Government Printing | 0.764247 |
| novel influenza | 0.852907 |
| Human Services | 0.749123 |
| influenza transmission | 0.850524 |
| U.S. Department | 0.835318 |
| MMWR HTML versions | 0.759958 |
| local health department | 0.826822 |
| electronic PDF version | 0.760429 |
| H3N2v virus | 0.793557 |
| close contact | 0.847091 |
| influenza A virus | 0.794673 |
| National Veterinary Services | 0.778371 |
| respiratory specimens | 0.752135 |
| Indiana State Health | 0.820264 |
| public health investigation | 0.824702 |
|
| nasopharyngeal swab | 0.710328 |
| subject line | 0.704804 |
| Indiana State Department | 0.972288 |
| Contact GPO | 0.712854 |
| H3N2 viruses | 0.719194 |
| H3N2v viruses | 0.730113 |
| emergency department | 0.716965 |
| Health Inspection Svc | 0.798982 |
| persons | 0.73363 |
| frequent hand hygiene | 0.759371 |
| Indiana Board | 0.716525 |
| state public health | 0.948258 |
| original paper copy | 0.753849 |
| Respiratory Diseases | 0.70812 |
| Animal Health | 0.807902 |
| public health laboratories | 0.79664 |
| virus M gene | 0.705171 |
| International Health Regulations | 0.800343 |
| partial genome sequencing | 0.764186 |
| respiratory etiquette | 0.710399 |
| public health laboratory | 0.812685 |
| Preliminary genetic analysis | 0.770859 |
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| 7692 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Updated Asthma Surveillance ReportReleased |
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. | 0.377949 |
| endorsement | 0.273123 |
| emergency department visits | 0.526797 |
| Human Services | 0.458648 |
| assistive technology | 0.381937 |
| research priorities | 0.358946 |
| MMWR HTML versions | 0.478162 |
| U.S. Department | 0.45507 |
| patient services | 0.361093 |
| electronic PDF version | 0.463515 |
| hospital outpatient visits | 0.519029 |
| health-care encounters | 0.390857 |
| Contact GPO | 0.383042 |
| office visits | 0.386073 |
| National Surveillance | 0.421839 |
| commercial sources | 0.352555 |
| current prices | 0.346341 |
| historical information | 0.363985 |
| previous reports | 0.35579 |
| recent estimates | 0.355558 |
| new data | 0.364118 |
| original paper copy | 0.459405 |
| monitoring asthma trends | 0.640376 |
| previous asthma surveillance | 0.709452 |
|
| inpatient stays | 0.367155 |
| asthma surveillance report | 0.854812 |
| United States | 0.36479 |
| original MMWR paper | 0.472081 |
| U.S. Government Printing | 0.462475 |
| community leaders | 0.357226 |
| graphic representations | 0.523029 |
| asthma surveillance indicators | 0.688685 |
| health-care providers | 0.384746 |
| MMWR readers | 0.359912 |
| character translation | 0.34408 |
| asthma surveillance | 0.911625 |
| detailed demographic subgroups | 0.500511 |
| additional graphic representations | 0.505727 |
| public health professionals | 0.494638 |
| asthma prevalence | 0.527298 |
| format errors | 0.348001 |
| subject line | 0.366475 |
| typeset documents | 0.35474 |
| trade names | 0.352684 |
| official text | 0.342057 |
| non-CDC sites | 0.35125 |
| electronic conversions | 0.342845 |
| printable versions | 0.338487 |
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| 7954 |
Centers for Disease Control and Prevention |
Html |
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Free Flu Materials - Podcasts |
Free flu resources, podcasts - CDC |
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CLICK HERE |
| 9411 |
Centers for Disease Control and Prevention |
Html |
es |
Aumento en la disponibilidad y el consumo de agua en las escuelas de educación secundaria: Estudio piloto. |
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| determinados bebederos | 0.331361 |
| California’s K-12 schools | 0.330236 |
| fruit juices | 0.344768 |
| distrito escolar | 0.902924 |
| Bogart LM | 0.528006 |
| agua corriente frente | 0.607122 |
| intervención incluÃa actividades | 0.463264 |
| Using community-based participatory | 0.333339 |
| agua ayuda | 0.476595 |
| Health Policy Research | 0.327767 |
| Wang YC | 0.346335 |
| secondary school cafeterias | 0.327691 |
| intervención piloto | 0.453412 |
| healthy eating | 0.343773 |
| Estados Unidos | 0.386131 |
| estudiantes faltantes | 0.384821 |
| energy intake among | 0.328366 |
| cooled filtered water | 0.328165 |
| from low-income families | 0.32764 |
| escuelas intervención | 0.465622 |
| school district | 0.339722 |
| Patel is also | 0.328533 |
| Uyeda KE | 0.400781 |
| Health Policy Studies | 0.328413 |
| máquinas expendedoras | 0.341852 |
|
| caloric contribution from | 0.32835 |
| California Health Interview | 0.329339 |
| Patel AI | 0.355074 |
| juntas supervisoras | 0.346094 |
| meses habrás | 0.328129 |
| estudio piloto | 0.446707 |
| drinking water | 0.3936 |
| Health Policy | 0.345034 |
| community-based participatory research | 0.449453 |
| public health | 0.342436 |
| Safe Drinking Water | 0.332732 |
| intervención frente | 0.432419 |
| Gortmaker SL | 0.344752 |
| Ludwig DS | 0.337222 |
| almuerzos escolares | 0.725427 |
| systematic review | 0.339611 |
| Schuster MA | 0.339329 |
| San Francisco | 0.422243 |
| Santa Monica | 0.333222 |
| RAND Corporation | 0.334436 |
| Hum Nutr Diet | 0.328362 |
| escuela primaria alemana | 0.366702 |
| Hawes-Dawson J | 0.387898 |
| Chronic Dis | 0.354553 |
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Centers for Disease Control and Prevention |
Html |
en |
CDC's Alcohol Screening and Brief Intervention Efforts'FASD'NCBDDD'FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| U.S. Adults Drink | 0.382748 |
| CDC | 0.376198 |
| Works—Alcohol SBI | 0.497133 |
| CHOICES Intervention Materials—These | 0.389635 |
| alcohol SBI initiative | 0.659597 |
| risky levels | 0.430503 |
| Binge drinking prevalence | 0.371632 |
| Prev Med | 0.361861 |
| SBI Implementation Guide—The | 0.52057 |
| primary care practice | 0.426486 |
| Preventive Services Task | 0.450436 |
| pediatricians incorporate screening | 0.363761 |
| Drug Alcohol Depend. | 0.486552 |
| SBI Implementation Guide—This | 0.522889 |
| risky alcohol | 0.602833 |
| primary care settings | 0.510677 |
| alcohol-exposed pregnancy | 0.3933 |
| alcohol screening | 0.618188 |
| brief intervention | 0.530038 |
| risky drinking | 0.402903 |
| system-level strategies | 0.360424 |
| health care settings | 0.384755 |
| fetal alcohol spectrum | 0.556606 |
| *Risky alcohol | 0.464961 |
| DSM-IV alcohol abuse | 0.487435 |
|
| U.S. Preventive Services | 0.408169 |
| United States | 0.413694 |
| extended intervention options | 0.372996 |
| Fatal—Risky alcohol | 0.495835 |
| alcohol misuse | 0.495575 |
| alcohol sbi | 0.957097 |
| Alcohol Clin Exp | 0.486626 |
| Alcohol electronic screening | 0.495356 |
| Alcohol SBI Works—Over | 0.678174 |
| Alcohol SBI Guide | 0.662846 |
| alcohol sbi implementation | 0.702276 |
| Prenatal alcohol exposure | 0.477332 |
| reproductive age | 0.358859 |
| Social Harm—Risky alcohol | 0.525513 |
| Services Task Force | 0.405004 |
| alcohol spectrum disorders | 0.557734 |
| electronic alcohol SBI | 0.675727 |
| intimate partner violence | 0.410709 |
| et al | 0.382785 |
| primary care | 0.514288 |
| Community Preventive Services | 0.362528 |
| motor vehicle crashes | 0.360799 |
| excessive alcohol consumption | 0.510461 |
| low-risk drinking goals | 0.367937 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A 16-Month Community-Based Intervention to Increase Aspirin Use for Primary Prevention of Cardiovascular Disease - CDC |
Cardiovascular diseases are the leading causes of disability and death in the United States. Primary prevention of these events may be achieved through aspirin use. The ability of a community-based intervention to increase aspirin use has not been evaluated. The objective of this study was to evaluate an educational intervention implemented to increase aspirin use for primary prevention of cardiovascular disease in a small city in Minnesota. |
| population-based aspirin | 0.521868 |
| aspirin prescriptions | 0.497095 |
| primary care approach | 0.393471 |
| Aspirin use discussions | 0.487852 |
| CVD health messages | 0.374075 |
| aspirin use candidates | 0.503717 |
| CVD morbidity | 0.371818 |
| primary prevention data | 0.394162 |
| nonregular aspirin users | 0.584755 |
| CVD risk | 0.439082 |
| self-reported aspirin | 0.556656 |
| CVD prevention messages | 0.380807 |
| health care providers | 0.372792 |
| daily aspirin | 0.492269 |
| primary prevention approach | 0.396381 |
| modifiable CVD risk | 0.371487 |
| primary care physicians | 0.38451 |
| primary care approaches | 0.368304 |
| primary prevention measure | 0.37834 |
| low-dose aspirin | 0.583163 |
| primary prevention candidates | 0.522319 |
| CVD events | 0.372092 |
| regular aspirin users | 0.64187 |
| heart attack | 0.377998 |
| Framingham risk scores | 0.388944 |
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| primary care health | 0.3853 |
| aspirin allergy | 0.479294 |
| primary prevention samples | 0.386005 |
| primary care clinics | 0.408319 |
| secondary prevention candidates | 0.381074 |
| aspirin candidates | 0.515448 |
| primary prevention | 0.918056 |
| aspirin | 0.776489 |
| societal aspirin | 0.480498 |
| health care | 0.420279 |
| public health | 0.39896 |
| ischemic stroke | 0.378041 |
| cardiovascular disease | 0.404342 |
| appropriate aspirin | 0.478369 |
| regular aspirin | 0.713801 |
| inappropriate aspirin | 0.480242 |
| aspirin use rates | 0.569077 |
| aspirin messages | 0.498554 |
| Primary prevention strategies | 0.393444 |
| aspirin component | 0.476998 |
| et al | 0.41208 |
| primary care | 0.490792 |
| community-based intervention | 0.410652 |
| coronary heart disease | 0.389255 |
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Centers for Disease Control and Prevention |
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Vital Signs: Cervical Cancer Incidence, Mortality, andScreening - United States, 2007-2012 |
On November 5, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| recent cervical cancer | 0.529223 |
| current screening percentages | 0.482774 |
| health care provider | 0.666315 |
| cancer death rate | 0.4702 |
| Risk Factor Surveillance | 0.471169 |
| overall cervical cancer | 0.515267 |
| cancer incidence statistics | 0.496087 |
| cancer incidence rates | 0.556933 |
| cervical cancer objectives | 0.525202 |
| state-specific cervical cancer | 0.567118 |
| Incident cervical cancers | 0.497542 |
| current cervical cancer | 0.555796 |
| Pap test | 0.507124 |
| mortality data | 0.476558 |
| cancer screening recommendations | 0.477331 |
| cervical cancer screening | 0.712286 |
| cervical cancers | 0.504944 |
| States Cancer Statistics | 0.499292 |
| U.S. Census region | 0.474146 |
| cancer incidence data | 0.51217 |
| cervical cancer | 0.923751 |
| United States Cancer | 0.501635 |
| cervical cancer death | 0.552855 |
| state-specific screening prevalence | 0.467678 |
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| death rates | 0.62122 |
| new cervical cancer | 0.51013 |
| Behavioral Risk Factor | 0.472212 |
| cervical cancer incidence | 0.819952 |
| women | 0.604907 |
| higher incidence | 0.473129 |
| inadequately screened women | 0.508476 |
| United States | 0.632762 |
| death rate | 0.497578 |
| cancer incidence rate | 0.505272 |
| greatest cancer prevention | 0.465897 |
| annual percentage changes | 0.513193 |
| highest incidence rate | 0.505207 |
| American Indians/Alaska Natives | 0.470289 |
| U.S. incidence rate | 0.477022 |
| cervical cancer recommendations | 0.514126 |
| screening prevalence data | 0.497415 |
| regular health care | 0.664833 |
| Vicki B. Benard | 0.472166 |
| cervical cancer services | 0.512743 |
| cervical cancer cases | 0.557061 |
| age-adjusted cervical cancer | 0.533041 |
| Asians/Pacific Islanders | 0.476319 |
| cervical cancer deaths | 0.517431 |
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Centers for Disease Control and Prevention |
Html |
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Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Americas | 0.327582 |
| door screens | 0.423788 |
| infected travelers | 0.452861 |
| air conditioning | 0.423756 |
| pants | 0.327931 |
| email address | 0.419202 |
| Outbreaks | 0.334544 |
| fever | 0.329924 |
| chikungunya virus | 0.903136 |
| muscle pain | 0.451908 |
| joint swelling | 0.450154 |
| mosquitoes | 0.341675 |
| pronunciation | 0.332442 |
| Europe | 0.323561 |
| chikungunya virus infection | 0.845309 |
| Africa | 0.323624 |
|
| joint pain | 0.442733 |
| countries | 0.344406 |
| new areas | 0.429851 |
| bites | 0.32914 |
| people | 0.326307 |
| common symptoms | 0.436647 |
| rash | 0.338757 |
| vaccine | 0.328573 |
| insect repellent | 0.438368 |
| Asia | 0.323592 |
| islands | 0.322926 |
| Pacific Oceans | 0.442657 |
| risk | 0.322563 |
| headache | 0.333177 |
| time | 0.323004 |
| page | 0.321561 |
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