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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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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 |
| 8071 |
Centers for Disease Control and Prevention |
Html |
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Acute Kidney Injury Associated with Synthetic CannabinoidUse - Multiple States, 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. |
| SC compound UR-144 | 0.704842 |
| blueberry-flavored SC product | 0.739906 |
| unspecified SC product | 0.739931 |
| Health Sciences Center | 0.703627 |
| Arkansas K2 Research | 0.694941 |
| Public health practitioners | 0.659272 |
| law enforcement officials | 0.76799 |
| regional poison center | 0.683667 |
| SC abuse | 0.654994 |
| newer SC compounds | 0.677199 |
| SCs | 0.656062 |
| SC poisoning | 0.644182 |
| patients | 0.706938 |
| County public health | 0.668312 |
| new SC | 0.754361 |
| unexplained AKI | 0.658818 |
| SC products | 0.989442 |
| public health officials | 0.805224 |
| toxicologic analysis | 0.654612 |
| new SC compounds | 0.691253 |
| state public health | 0.662112 |
| Public health staff | 0.655988 |
| Public Health Laboratory | 0.651356 |
| patient reporting SC | 0.72164 |
| single SC brand | 0.730367 |
|
| bubblegum-flavored SC product | 0.735207 |
| adverse health effects | 0.694179 |
| clinical specimens | 0.875934 |
| state health department | 0.63676 |
| public health | 0.896862 |
| AKI | 0.722955 |
| synthetic cannabinoids | 0.660794 |
| N-pentanoic acid metabolite | 0.824342 |
| poison center | 0.789585 |
| new SC compound | 0.743317 |
| cases | 0.703815 |
| SC toxicity | 0.647283 |
| serum creatinine concentration | 0.691047 |
| SC sale | 0.651341 |
| staff members | 0.648717 |
| Public Health Div | 0.638397 |
| product samples | 0.796753 |
| synthetic marijuana products | 0.652414 |
| emergency departments | 0.636416 |
| Wyoming Department | 0.685135 |
| single SC product | 0.728483 |
| SC product | 0.878647 |
| fluorinated SC | 0.689867 |
| SC market | 0.64526 |
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Centers for Disease Control and Prevention |
Html |
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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 |
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| 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 |
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Email Updates: June 18, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Summer – Jun | 0.639086 |
| prevention activities | 0.513863 |
| CDC | 0.982975 |
| Travel Warnings | 0.56824 |
| Escherichia coli serogroup | 0.626748 |
| Emergency Preparedness | 0.571371 |
| Public health investigators | 0.595747 |
| prevention science | 0.507212 |
| Escherichia coli O145 | 0.624963 |
| science clips | 0.499621 |
| related health effects | 0.612386 |
| – (CDC) | 0.758783 |
| Additional COCA Conference | 0.617699 |
| young children | 0.499038 |
| Free CE credit/contact | 0.590367 |
| Weekly Flu View | 0.562734 |
| EID Home Page | 0.579637 |
| Yand Haemophilus influenzae | 0.566996 |
| Hurricane Health | 0.522598 |
| Current Travel Warnings | 0.565879 |
| public health officials | 0.595269 |
| toxin-producing escherichia coli | 0.732764 |
| 122-Cities Mortality Reporting | 0.562015 |
| preventive health services | 0.616967 |
| pulsed-field gel electrophoresis | 0.55676 |
|
| shiga toxin-producing escherichia | 0.707081 |
| multistate outbreak | 0.649979 |
| toxic chemicals | 0.508313 |
| Toxic Substances Web | 0.722695 |
| new combination vaccine | 0.556686 |
| weekly feature | 0.506529 |
| COCA Email Update | 0.61321 |
| public health community | 0.625519 |
| scientific knowledge | 0.498699 |
| E. coli | 0.735792 |
| public health | 0.713875 |
| health care | 0.532775 |
| Substances Web Portal | 0.719405 |
| Dry Dog Food | 0.549828 |
| Specific Hazards preparedness | 0.581773 |
| program activity | 0.504984 |
| Jun | 0.730212 |
| U.S. adults | 0.591924 |
| CDC Scienceclips | 0.78627 |
| in-person training centers | 0.573214 |
| Territorial Support | 0.503989 |
| Salmonella Infantis Infections | 0.559897 |
| preventive services | 0.498538 |
| Response Training Resources | 0.578702 |
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Centers for Disease Control and Prevention |
Html |
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CDC Telebriefing: Potentially Preventable Deaths from the Five Leading Causes of Death | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| ferdous al-faruque | 0.397063 |
| smoking rates | 0.389975 |
| country | 0.385808 |
| pressure control rates | 0.380397 |
| leighann winick | 0.435659 |
| maggie fox | 0.418192 |
| United States account | 0.393784 |
| lung disease | 0.405549 |
| health care providers | 0.380549 |
| premature deaths | 0.380227 |
| blood pressure | 0.969125 |
| risk factors | 0.423937 |
| health systems | 0.374575 |
| avoidable deaths | 0.387 |
| tom frieden | 0.845074 |
| mike stobbe | 0.478737 |
| potentially preventable deaths | 0.44805 |
| blood pressure control | 0.778037 |
| injury deaths | 0.38514 |
| little bit | 0.391037 |
| preventable deaths | 0.644336 |
| heart attacks | 0.43048 |
| blood pressure controls | 0.384469 |
| stroke deaths | 0.383119 |
| United States | 0.505579 |
|
| TOM SKINNER | 0.573363 |
| states | 0.549068 |
| good news | 0.397079 |
| niraj chokshi | 0.399663 |
| heart disease | 0.475397 |
| causes | 0.417735 |
| Dr. Tom Frieden | 0.430589 |
| lowest death rates | 0.385951 |
| health care | 0.524604 |
| 50 states | 0.381053 |
| lower respiratory disease | 0.373689 |
| question | 0.449035 |
| modifiable risk factors | 0.418119 |
| big difference | 0.395556 |
| rates | 0.437789 |
| primary health care | 0.372477 |
| preventable causes | 0.389401 |
| blood pressure treatment | 0.387968 |
| people | 0.382807 |
| southeastern states | 0.376251 |
| physical activity | 0.443235 |
| high blood pressure | 0.623468 |
| Dr. Frieden | 0.414047 |
| hearts program | 0.399214 |
|
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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 |
|
| 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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| 11985 |
Centers for Disease Control and Prevention |
Html |
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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 |
|
| 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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