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Is Your Child Protected against Hib Disease? - CDC Features |
Make sure your child gets all doses of Hib vaccine for best protection against Hib disease. Hib bacteria can cause severe diseases like meningitis (an infection of the fluid and lining around the brain and spinal cord). |
| Hib | 0.90061 |
| Hib vaccination | 0.447296 |
| Haemophilus influenzae type | 0.236976 |
| United States | 0.279019 |
| Hib vaccine | 0.595876 |
| Hib shots | 0.380638 |
|
| invasive disease | 0.204935 |
| invasive Hib disease | 0.622146 |
| Hib disease | 0.740119 |
| Hib bacteria | 0.587331 |
| booster shot | 0.224599 |
| Hib vaccines | 0.544261 |
|
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| 4766 |
Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field: Strongyloidiasis in a Rural Setting -Southeastern Kentucky, 2013 |
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. | 0.71894 |
| Elizabeth S. Russell | 0.760525 |
| Human Services | 0.761563 |
| assistive technology | 0.712948 |
| MMWR HTML versions | 0.77389 |
| U.S. Department | 0.759764 |
| nongovernmental organization | 0.703262 |
| electronic PDF version | 0.774273 |
| immunosuppressed persons | 0.707076 |
| Family Services Institutional | 0.785845 |
| Kentucky Department | 0.722418 |
| Serologic studies | 0.709304 |
| Global Health | 0.703807 |
| Contact GPO | 0.706535 |
| medical services | 0.707106 |
| southeastern United States | 0.805572 |
| intermittent shedding | 0.709549 |
| previous serostudies | 0.702519 |
| original paper copy | 0.767845 |
| autochthonous transmission | 0.705759 |
| intraintestinal autoinfection | 0.705884 |
| stool-based testing | 0.712995 |
| manual waste removal | 0.769807 |
| Public Health | 0.715184 |
|
| parasitic nematode | 0.712289 |
| United States | 0.946888 |
| reportable disease | 0.711524 |
| original MMWR paper | 0.781017 |
| U.S. Government Printing | 0.774972 |
| strongyloidiasis-related hospital discharge | 0.784678 |
| Strongyloides transmission | 0.743992 |
| rural area | 0.707171 |
| poor sanitation | 0.703625 |
| prevalence estimates | 0.81913 |
| indoor flush toilet | 0.778983 |
| southeastern Kentucky | 0.787116 |
| Strongyloides stercoralis | 0.794189 |
| current infection | 0.715055 |
| titers decrease | 0.70509 |
| travel history | 0.789085 |
| Stephanie Davis | 0.764716 |
| subject line | 0.713452 |
| group waiting areas | 0.776821 |
| subtropical environments | 0.706467 |
| Utilization Project database | 0.785424 |
| recent studies | 0.707232 |
| stool-contaminated soil penetrate | 0.798579 |
| Initial symptoms | 0.702696 |
|
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CDC connects communities with youth violence prevention strategies | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| specific evidence-based strategies | 0.514792 |
| CDC | 0.431555 |
| community leaders | 0.465938 |
| reductions | 0.414039 |
| historical purposes | 0.473789 |
| Research | 0.412066 |
| young people | 0.469696 |
| experience | 0.412054 |
| public health approach | 0.50042 |
| solution | 0.412846 |
| youth violence | 0.976322 |
| consumer-friendly online resources | 0.522598 |
| U.S. DEPARTMENT | 0.458681 |
| members | 0.424272 |
| member | 0.411893 |
|
| public health professionals | 0.518683 |
| public health | 0.571875 |
| evidence-based prevention strategies | 0.507441 |
| website | 0.413727 |
| Opportunities | 0.438 |
| economic health | 0.457289 |
| families | 0.412909 |
| important role | 0.46411 |
| action steps | 0.466438 |
| companion guide | 0.523488 |
| public health problem | 0.503847 |
| residents | 0.411232 |
| HUMAN SERVICES | 0.458525 |
| information | 0.424707 |
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MMWR News Synopsis: June 19, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Menveo | 0.424899 |
| fentanyl-related drug overdose | 0.671791 |
| neuroinvasive arboviral disease | 0.739015 |
| arboviruses | 0.457458 |
| national incidence | 0.491544 |
| infants | 0.465971 |
| RIDOH | 0.446274 |
| emergency regulation | 0.472889 |
| drug overdose patients | 0.577885 |
| active fentanyl prescriptions | 0.556244 |
| meningococcal disease | 0.657457 |
| RI emergency departments | 0.535007 |
| unintentional ODs | 0.506786 |
| HUMAN SERVICES | 0.477388 |
| CDC Media Relations | 0.900646 |
| fentanyl-related ODs | 0.502201 |
| meningococcal vaccine | 0.548046 |
| at-risk populations | 0.477779 |
| United States | 0.659351 |
| 100,000 | 0.426312 |
| substantial morbidity | 0.503996 |
| La Crosse virus | 0.567347 |
| prevention efforts | 0.490582 |
| Eastern equine encephalitis | 0.558322 |
| response intervention | 0.480063 |
|
| potential strategies | 0.478474 |
| meningococcal conjugate vaccine | 0.618397 |
| recent fentanyl-related drug | 0.545884 |
| U.S. DEPARTMENT | 0.477623 |
| Rhode Island Department | 0.649981 |
| North Dakota | 0.486044 |
| first-response intervention | 0.485448 |
| drug overdose deaths | 0.678893 |
| CDC’s assistance | 0.516135 |
| prescription drug | 0.480135 |
| virus disease cases | 0.574368 |
| common cause | 0.568105 |
| domestic arboviral disease | 0.594968 |
| South Dakota | 0.485884 |
| substantial increase | 0.493913 |
| Additional research | 0.478292 |
| health | 0.437211 |
| MenACWY-CRM administration | 0.481181 |
| illicit sources | 0.478808 |
| substantial numbers | 0.507283 |
| West Nile virus | 0.734416 |
| highest incidence rates | 0.561647 |
| additional option | 0.540843 |
| opioid overdose cases | 0.576457 |
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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 |
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CDC Disease Detective: Chris |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| officer — Edens | 0.790646 |
| extremely realistic exercise | 0.636957 |
| hospital staff | 0.630149 |
| senior staff | 0.545037 |
| county health services | 0.656906 |
| CDC work | 0.598577 |
| measles vaccines | 0.531754 |
| containing vaccine-filled microneedles | 0.634832 |
| state agencies | 0.546353 |
| Georgia Tech | 0.528698 |
| federal departments | 0.535661 |
| Disease Control | 0.566848 |
| Burkholderia cepacia | 0.545147 |
| necessary staff | 0.559573 |
| Epidemic Intelligence Service | 0.647749 |
| personal protective equipment | 0.644451 |
| Edens | 0.988991 |
| Ebola-specific infection control | 0.668258 |
| CDC assignment | 0.600327 |
| major hospital | 0.547374 |
| black light | 0.531501 |
| largest conference table | 0.655122 |
| Ebola patients | 0.68247 |
| REP team responder | 0.782431 |
| wide range | 0.544652 |
|
| Ebola epidemic | 0.696404 |
| REP Team Deployment | 0.735867 |
| United States | 0.55794 |
| Team members | 0.556864 |
| CDC disease detective | 0.785286 |
| interdisciplinary teams | 0.5448 |
| central line-associated bloodstream | 0.649069 |
| professional societies | 0.538356 |
| main conference room | 0.657073 |
| disease outbreak | 0.53418 |
| public health | 0.532445 |
| California dialysis clinic | 0.630587 |
| key hospitals | 0.590748 |
| various government agencies | 0.664741 |
| REP teams | 0.738634 |
| intensive care units | 0.634715 |
| infection prevention | 0.53005 |
| professional infection-control societies | 0.660009 |
| general wards | 0.535478 |
| Ebola patient | 0.641366 |
| state health secretary | 0.657838 |
| West Africa | 0.558715 |
| relatively rare bug | 0.636775 |
| detective –in CDC | 0.709411 |
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