| 2943 |
Centers for Disease Control and Prevention |
Html |
en |
Tips From Former Smokers: Nathan's Story |
Secondhand smoke exposure from a casino where Nathan worked for 11 years caused him to develop allergies and serious infections that triggered asthma attacks, eventually causing permanent lung damage. |
| allergies | 0.340716 |
| Oglala Sioux tribe | 0.950765 |
| casino | 0.390423 |
| daily basis | 0.490664 |
| bronchiectasis | 0.356594 |
| lung damage | 0.696592 |
| result | 0.333364 |
| Nathan | 0.626628 |
| early death | 0.468774 |
| smoking | 0.385279 |
| Smokers® campaign | 0.471465 |
| member | 0.374582 |
| infections | 0.339701 |
| tribal dancing | 0.460905 |
| lungs | 0.342177 |
| permanent lung damage | 0.690997 |
|
| secondhand smoke | 0.758071 |
| CDC’s Tips | 0.475601 |
| contains dangerous chemicals | 0.669851 |
| Native American | 0.515543 |
| Lakota | 0.339165 |
| asthma attacks | 0.501735 |
| Marines | 0.345078 |
| people | 0.374938 |
| steps | 0.336585 |
| dangerous exposure | 0.504545 |
| health problems | 0.463315 |
| tribal dances | 0.487191 |
| cigarettes | 0.345023 |
| Breathing | 0.339799 |
| job | 0.335389 |
|
CLICK HERE |
| 4766 |
Centers for Disease Control and Prevention |
Html |
en |
Networks as a type of social entrepreneurship to advance population health. |
null |
| organizational growth | 0.327835 |
| health performance systems | 0.350661 |
| Harvard Business School | 0.606936 |
| health institution leaders | 0.358028 |
| sustainable social impact | 0.3637 |
| mobility training | 0.495322 |
| maximum social impact | 0.424924 |
| population health issues | 0.36956 |
| population health improvements | 0.371682 |
| Rev Public Health | 0.358182 |
| population health goals | 0.435813 |
| improved population health | 0.371942 |
| Stanford Social Innovation | 0.374067 |
| health professional association | 0.34894 |
| population health | 0.912004 |
| greater social impact | 0.360873 |
| effective network builders | 0.346288 |
| Business School Case | 0.475754 |
| public health leaders | 0.461079 |
| various public health | 0.369228 |
| public health practice | 0.374296 |
| public health experts | 0.366674 |
| guide dogs | 0.359117 |
| network approach | 0.594174 |
| community health | 0.392321 |
|
| public health communities | 0.373992 |
| large-scale health challenges | 0.339028 |
| pay-for-population health performance | 0.410245 |
| social entrepreneurship | 0.821247 |
| population health approach | 0.480267 |
| social entrepreneurial approach | 0.338467 |
| networks | 0.333026 |
| social impact | 0.621515 |
| social sector | 0.373212 |
| pay-for-population health | 0.451185 |
| public health | 0.865754 |
| health care | 0.380082 |
| visually impaired people | 0.359732 |
| health promotion programs | 0.345827 |
| population health challenge | 0.360071 |
| resources | 0.400171 |
| term social entrepreneurship | 0.381475 |
| better population health | 0.369503 |
| Social Innovation Review | 0.380894 |
| population health outcomes | 0.436905 |
| population health shares | 0.373966 |
| substantial social impact | 0.426283 |
| organizations | 0.417301 |
| pay-for-population health systems | 0.347444 |
|
CLICK HERE |
| 4998 |
Centers for Disease Control and Prevention |
Html |
en |
Obesity and Overweight Homepage |
CDC's Obesity efforts focus on policy and environmental strategies to make healthy eating and active living accessible and affordable for everyone. |
| CDC | 0.224275 |
| ECE setting | 0.347647 |
| environmental strategies | 0.318135 |
| U.S. obesity | 0.532243 |
| latest state initiatives | 0.421851 |
| email address | 0.340998 |
| fact sheets | 0.320186 |
| High BMI | 0.355097 |
| active living | 0.318674 |
| Latest statistics | 0.315812 |
| interactive databases | 0.316256 |
| social media tools | 0.420852 |
| Community Efforts | 0.34631 |
| guidelines | 0.21909 |
| state efforts | 0.360293 |
| First-ever report | 0.348175 |
| food service | 0.321438 |
| overweight | 0.230686 |
|
| early childhood care | 0.434866 |
| Obesity Facts Obesity | 0.897257 |
| Flu Complications Adults | 0.506187 |
| groups | 0.22024 |
| Reports | 0.219156 |
| healthy eating | 0.31906 |
| physical activity | 0.317527 |
| Education State Indicator | 0.454847 |
| Obesity Maps Obesity | 0.911379 |
| schools | 0.219301 |
| childhood obesity | 0.584821 |
| Obesity efforts | 0.564242 |
| data systems | 0.316019 |
| prevention strategies | 0.319487 |
| varies | 0.233134 |
| Adult Obesity | 0.671965 |
| page | 0.222842 |
|
CLICK HERE |
| 7233 |
Centers for Disease Control and Prevention |
Html |
en |
Race/Ethnicity, Adults 65 Years and Older - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 65 Years and Older - CDC |
| Native Hawaiian | 0.364266 |
| Pacific Islander | 0.404771 |
| data | 0.31905 |
| report Final estimates | 0.454714 |
| United States | 0.215383 |
| season estimates | 0.211501 |
| influenza vaccination coverage | 0.621152 |
| methods | 0.209801 |
| U.S. civilian population | 0.374798 |
| Risk Factor Surveillance | 0.409947 |
| recent influenza seasons | 0.353281 |
| seasonal influenza vaccination | 0.96844 |
| Monovalent Vaccination Coverage | 0.461208 |
| vaccination coverage | 0.66394 |
|
| Alaska Native | 0.362722 |
| Excludes U.S. territories | 0.410817 |
| Additional estimates | 0.216823 |
| estimates | 0.630747 |
| high risk conditions | 0.229118 |
| vaccination periods | 0.254694 |
| influenza season | 0.414227 |
| H1N1 Flu Survey | 0.381627 |
| BRFSS adult estimates | 0.310545 |
| Coverage estimates | 0.236942 |
| Confidence Interval | 0.223316 |
| vaccination recommendations | 0.259273 |
| vaccination data | 0.290953 |
| national weighted estimates | 0.343671 |
|
CLICK HERE |
| 7867 |
Centers for Disease Control and Prevention |
Html |
en |
Epilepsy and Seizures - Health Communication |
Epilepsy and Seizures - Gateway to Health Communication - CDC |
| epilepsy | 0.777188 |
| office manager | 0.476005 |
| focal seizure | 0.624681 |
| tonic-clonic seizure | 0.624558 |
| low-carbohydrate diet | 0.484517 |
| seizure | 0.934786 |
| mal) seizure. | 0.66875 |
| United States | 0.49512 |
| safe place | 0.479824 |
| emergency information | 0.478397 |
| EDUCATE viewers | 0.48867 |
| simple terms | 0.483306 |
| methods control seizures | 0.626718 |
| brain results | 0.492361 |
| INFORM viewers | 0.48788 |
| appropriate seizure response | 0.68668 |
| common form | 0.477331 |
| brain injury | 0.48046 |
| abnormal electrical activity | 0.734341 |
| heart disease | 0.482446 |
| seizures | 0.710555 |
| weekly back-up | 0.478059 |
| employment consequences | 0.482448 |
| health care | 0.484572 |
|
| involuntary change | 0.497571 |
| marketing company | 0.477045 |
| epilepsy prevention | 0.555731 |
| Anti-seizure drugs | 0.478762 |
| medical bracelet | 0.480847 |
| n’t work | 0.476591 |
| adverse professional | 0.483652 |
| Allen | 0.526173 |
| people | 0.546039 |
| general term | 0.495977 |
| routine software back-up | 0.5408 |
| certain conditions | 0.480314 |
| network outage | 0.47764 |
| symptoms | 0.43235 |
| life opportunities | 0.484133 |
| uncontrolled seizures | 0.567101 |
| healthy pregnancy | 0.479497 |
| absence seizure | 0.6247 |
| person | 0.605875 |
| body movement | 0.494631 |
| common ways | 0.480637 |
| certain types | 0.475257 |
| neurological disorders | 0.48364 |
|
CLICK HERE |
| 8629 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - An Immigrant's Tale, Marie Otto |
An Immigrant’s Tale, Many people fled war-ravaged Europe during WWI and several came to America. In addition to adjusting to a new culture and learning a new language, recent immigrants also had to cope with a deadly flu pandemic. Even for those who had settled in the United States before the Great War, the flu pandemic made a difficult existence almost unbearable. |
| Ralph | 0.523935 |
| Atwater | 0.375038 |
| additional children | 0.611756 |
| Florence | 0.429046 |
| young Swedish immigrant | 0.900848 |
| Ella Wickstrom | 0.690696 |
| body | 0.421992 |
| carpenter | 0.364547 |
| Selma | 0.866473 |
| Selma Peterson | 0.762726 |
| Lester | 0.683417 |
| children | 0.634043 |
| west-central Minnesota | 0.65284 |
| wooden coffin | 0.594044 |
| farm | 0.366457 |
| casket | 0.366113 |
| son Lester | 0.644559 |
| order | 0.360528 |
| night | 0.360897 |
| historic flu pandemic | 0.889499 |
| sick father | 0.61904 |
| undertaker | 0.594154 |
| field | 0.360559 |
| Alvin | 0.448301 |
|
| Carrie | 0.447711 |
| Marie Otto | 0.631683 |
| care | 0.399256 |
| oldest son | 0.598582 |
| younger siblings | 0.626611 |
| Elmer | 0.45728 |
| Simon Wickstrom | 0.913567 |
| house | 0.495263 |
| Storyteller | 0.371273 |
| little home | 0.623622 |
| Ella | 0.696738 |
| wind-swept prairie | 0.652011 |
| cemetery | 0.421702 |
| beloved brother | 0.612701 |
| younger children | 0.610593 |
| chores | 0.477996 |
| Everybody | 0.365965 |
| Synnes Township | 0.654325 |
| Ted | 0.434498 |
| tragedy | 0.363236 |
| J. Deokar | 0.665936 |
| 16–year–old bride | 0.636245 |
| young family | 0.604079 |
| buggy | 0.36171 |
|
CLICK HERE |
| 9368 |
Centers for Disease Control and Prevention |
Html |
es |
Mapas con tecnología SIG para caminar con el fin de promover la actividad física en comunidades de bajos ingresos que habitan en viviendas sociales: un estudio cualitativo |
CDC - Wide Page example description goes here |
| bajos ingresos | 0.612499 |
| Emmons K | 0.720391 |
| qualitative examination | 0.77704 |
| Estados Unidos | 0.445203 |
|
| Chronic Dis | 0.739653 |
| GIS walking maps | 0.916169 |
| physical activity | 0.744787 |
|
CLICK HERE |
| 12898 |
Centers for Disease Control and Prevention |
Html |
en |
Update: Influenza Activity - United States, September 28,2014-February 21, 2015 |
World Health Organization Collaborating Center for Surveillance, Epidemiology, and Control of Influenza, Tiffany D'Mello, MPH1, Lynnette Brammer, MPH1, Lenee Blanton, MPH1, Krista Kniss, MPH1, Sophie Smith, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Rosaline Dhara, MPH1, Jessica Cohen, MPH1, Sandra S. Chaves, MD1, Lyn Finelli, DrPH1, Joseph Bresee, MD1, Teresa Wallis, MS1, Xiyan Xu, MD1, Anwar Isa Abd Elal, BScCS1, Larisa Gubareva, PhD1, David Wentworth, PhD1, Julie Villanueva, PhD1, Jackie Katz, PhD1, Daniel Jernigan, MD1 (Author affiliations at end of text). |
| influenza | 0.978728 |
| influenza hospitalization surveillance | 0.534069 |
| CDC influenza surveillance | 0.411052 |
| little influenza virus | 0.407231 |
| United States | 0.453028 |
| novel influenza | 0.45652 |
| quadrivalent influenza vaccine | 0.427604 |
| influenza A viruses | 0.520733 |
| Northern Hemisphere vaccines | 0.326572 |
| clinician-ordered influenza testing | 0.398363 |
| influenza symptoms | 0.382707 |
| Hemisphere influenza vaccine | 0.466244 |
| current influenza season | 0.417849 |
| New York City | 0.317899 |
| influenza B component | 0.41487 |
| Northern Hemisphere | 0.347564 |
| influenza antiviral medications | 0.403219 |
| influenza B viruses | 0.607042 |
| high ILI activity | 0.389279 |
| U.S. Virgin Islands | 0.313968 |
| Cities Mortality Reporting | 0.309247 |
| laboratory-confirmed influenza | 0.473372 |
| influenza A virus | 0.451747 |
|
| Southern Hemisphere influenza | 0.46667 |
| Influenza surveillance reports | 0.40768 |
| influenza vaccine | 0.513567 |
| New York | 0.341873 |
| Rhode Island | 0.311441 |
| influenza season | 0.534574 |
| influenza B infection | 0.390847 |
| World Health Organization | 0.356284 |
| influenza activity | 0.497726 |
| quadrivalent influenza vaccines | 0.424176 |
| laboratory-confirmed influenza infection | 0.419615 |
| U.S. influenza activity* | 0.447748 |
| Enteric Virus Surveillance | 0.318182 |
| influenza vaccination | 0.382954 |
| recent influenza | 0.379428 |
| influenza seasons | 0.455118 |
| ILI activity | 0.43243 |
| influenza surveillance | 0.422641 |
| influenza viruses | 0.597664 |
| influenza virus | 0.42062 |
| influenza-associated hospitalizations | 0.309312 |
| vaccine-like influenza | 0.384414 |
| additional Influenza Hospitalization | 0.409698 |
|
CLICK HERE |
| 14582 |
Centers for Disease Control and Prevention |
Html |
en |
2014 STD Surveillance - Figure 53 |
STD Surveillance, 2014 - Figure 53. Genital Herpes — Initial Visits to Physicians’ Offices, United States, 1966–2013 |
| National Disease | 0.64961 |
| genital herpes estimates | 0.998308 |
| relative standard errors | 0.944442 |
| Table | 0.443206 |
| Newer data | 0.706498 |
| 100,000 | 0.443341 |
| web page | 0.697841 |
|
| range | 0.443287 |
| historical purposes | 0.716053 |
| Section | 0.443534 |
| Appendix | 0.487646 |
| Integrated Promotional Servicesâ„¢ | 0.852996 |
| IMS Health Report | 0.903247 |
| Therapeutic Index | 0.667369 |
|
CLICK HERE |
| 15439 |
Centers for Disease Control and Prevention |
Html |
en |
Health Care Use and HIV Testing of Males Aged 15-39 Years inPhysicians' Offices - United States, 2009-2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| HIV testing rate | 0.456739 |
| HIV testing coverage | 0.472348 |
| patient visits | 0.38214 |
| offices | 0.368716 |
| Hispanic males | 0.635284 |
| National Health Interview | 0.38497 |
| U.S. males | 0.414998 |
| white males | 0.588207 |
| physicians | 0.394685 |
| new HIV | 0.439371 |
| average annual number | 0.424977 |
| young males | 0.506102 |
| patient health care | 0.362822 |
| routine HIV testing | 0.5134 |
| Current HIV infection | 0.447667 |
| office visits | 0.376313 |
| HIV prevention services | 0.441069 |
| Health Interview Survey | 0.385321 |
| males | 0.635688 |
| black males | 0.487528 |
| patient care | 0.365656 |
| average annual percentage | 0.396779 |
| HIV treatment | 0.454429 |
| annual visits | 0.422309 |
| preexposure prophylaxis | 0.375514 |
|
| annual total number | 0.378066 |
| higher testing rates | 0.372185 |
| national testing recommendations | 0.362175 |
| United States | 0.407247 |
| antiretroviral therapy | 0.375626 |
| health care office | 0.362831 |
| visits | 0.585966 |
| HIV testing rates | 0.531787 |
| average annual visits | 0.416322 |
| HIV testing opportunities | 0.455588 |
| HIV diagnosis | 0.428602 |
| HIV transmission | 0.457388 |
| Fewer annual visits | 0.399572 |
| health care | 0.534127 |
| crucial HIV treatment | 0.435055 |
| HIV test | 0.625355 |
| young men | 0.359781 |
| minority males | 0.399026 |
| average annual total | 0.38458 |
| average annual rate | 0.361229 |
| health care visits | 0.474385 |
| opt-out testing policies | 0.363671 |
| HIV testing | 0.9315 |
| opt-out testing | 0.387533 |
|
CLICK HERE |