| 6317 |
Centers for Disease Control and Prevention |
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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 |
| 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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| 9366 |
Centers for Disease Control and Prevention |
Html |
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Promoción de ambientes libres de humo de cigarrillo y cesación del tabaquismo en centros residenciales de tratamiento para problemas de salud mental y narcoadicciones, Oregón, 2010 |
CDC - Wide Page example description goes here |
| futuros requisitos | 0.680986 |
| mental health | 0.746675 |
| Drach LL | 0.808732 |
| residential treatment facilities | 0.980887 |
|
| Harris RL | 0.762898 |
| Cushing C | 0.765321 |
| Romoli C | 0.72936 |
| Chronic Dis | 0.75742 |
|
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| 10439 |
Centers for Disease Control and Prevention |
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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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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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Improving Access to Chronic Disease Data | CDC Features |
Interested in chronic disease data, risk factors, health indicators, and policy measures? CDC is making all these data and indicators much easier to access and use. Use the data to describe the burden of chronic disease as well as common risk factors, identify research gaps, monitor population trends, and evaluate programs. |
| country | 0.227669 |
| mobile phones | 0.280274 |
| user types | 0.277055 |
| Chronic Open Data | 0.449003 |
| research gaps | 0.296185 |
| Health Promotion | 0.482577 |
| health topics | 0.340869 |
| Disease Control | 0.292663 |
| disease data sets | 0.419115 |
| state | 0.24539 |
| data needs | 0.315207 |
| Jason Bonander | 0.284767 |
| local governments | 0.278006 |
| sorts | 0.231724 |
| National Center | 0.407598 |
| risk factors | 0.386254 |
| federal governments | 0.282946 |
| health educators | 0.30666 |
| wide variety | 0.28022 |
| better-informed decisions | 0.278051 |
| users | 0.227462 |
| open data format | 0.405031 |
| chronic disease | 0.958455 |
| Information Resources Management | 0.347186 |
| Success stories | 0.276319 |
|
| chronic disease data | 0.796143 |
| common risk factors | 0.36782 |
| health indicators | 0.386658 |
| application sharing | 0.28086 |
| Increase data | 0.31941 |
| policy measures | 0.294703 |
| new open data | 0.416233 |
| Federal Government | 0.285196 |
| data demands | 0.324223 |
| actionable data | 0.320573 |
| underlying concept | 0.285634 |
| openness | 0.241656 |
| local health departments | 0.379901 |
| health communicators | 0.310245 |
| common tools | 0.286083 |
| innovation | 0.228415 |
| novel visualizations | 0.286259 |
| CDC partners | 0.302888 |
| open data | 0.6875 |
| health data application | 0.404092 |
| Chronic Disease Prevention | 0.764825 |
| recent launch | 0.28613 |
| population trends | 0.287965 |
| new audiences | 0.283807 |
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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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