| 4690 |
Centers for Disease Control and Prevention |
Html |
en |
Commute times, food retail gaps, and body mass index in North Carolina counties |
null |
| North Carolina | 0.448328 |
| commute time | 0.390185 |
| rural residents | 0.380633 |
| North Carolina Department | 0.21281 |
| special food services | 0.206743 |
| county-level independent variables | 0.201504 |
| county-level food sales | 0.226185 |
| individual-level bmi | 0.282425 |
| county-level variables | 0.21118 |
| mean county-level commute | 0.262666 |
| county-level BMI | 0.272693 |
| county-level mean BMI | 0.318146 |
| longer commute times | 0.221117 |
| BMI | 0.325295 |
| average commute time | 0.208621 |
|
| drinking places | 0.245558 |
| commute times | 0.635556 |
| NAICS code | 0.211841 |
| specialty food stores | 0.222786 |
| county-level sales | 0.221783 |
| food retail gap | 0.925332 |
| county-level retail sales | 0.206841 |
| county-level commute time | 0.290969 |
| North Carolina counties | 0.274497 |
| county-level commute times | 0.355083 |
| food retail gaps | 0.320831 |
| county-level diversity index | 0.20896 |
| county-level demand | 0.231366 |
| capita | 0.273709 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
|
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| 9748 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 10411 |
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Html |
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Roadmap for State Program Planning - Evaluate the Program'State Resources'DHDSP'CDC |
null |
| Chronic Disease Practice | 0.629389 |
| public health issues | 0.615798 |
| state capacity | 0.542937 |
| American Evaluation Association | 0.680124 |
| evaluation | 0.937236 |
| evaluation plan | 0.854878 |
| professional association | 0.58986 |
| National HDSP Program | 0.664601 |
| appropriate data collection | 0.645159 |
| surveillance data | 0.528051 |
| Basic Implementation Programs | 0.597896 |
| evaluation design | 0.590154 |
| CDC Evaluation Framework | 0.697046 |
| future activities | 0.557368 |
| evaluation planning— | 0.58499 |
| data integrity | 0.542848 |
| work plan objectives | 0.613952 |
| Chronic Disease Directors | 0.629619 |
| evaluate program | 0.679532 |
| capacity building activities | 0.823785 |
| chronic disease | 0.810068 |
| evaluation expectations | 0.575182 |
| HDSP program evaluation | 0.783994 |
| HDSP Evaluation Plan | 0.789963 |
| evaluation areas | 0.569767 |
|
| Gather credible evidence | 0.604783 |
| annual Work Plan | 0.613876 |
| Basic Implementation | 0.61695 |
| qualitative data | 0.544146 |
| program area | 0.560639 |
| state level data | 0.629943 |
| evaluation guides | 0.568121 |
| systematic collection | 0.530056 |
| Systematically document HDS | 0.607113 |
| state HDSP program | 0.864162 |
| Evaluate progress | 0.540661 |
| evaluation results | 0.580846 |
| state partnership | 0.608713 |
| Evaluate program achievements | 0.671017 |
| outcome evaluation | 0.579777 |
| Prevention Research Centers | 0.608819 |
| evaluation should— | 0.574056 |
| state HDSP programs | 0.646492 |
| program logic model | 0.631707 |
| health department program | 0.647179 |
| sample evaluation questions | 0.656359 |
| interventions | 0.530566 |
| Document changes | 0.610653 |
| Report program results | 0.678646 |
|
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| 10994 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 11004 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 16169 |
Centers for Disease Control and Prevention |
Html |
en |
HPV Vaccine Information For Young Women |
HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators. |
| HPV types— | 0.203411 |
| HPV vaccination | 0.344921 |
| HPV test | 0.237064 |
| HPV vaccine | 0.80765 |
| HPV types | 0.486735 |
| cervical cancer | 0.691177 |
| targeted HPV types | 0.242999 |
|
| HPV | 0.931484 |
| genital warts | 0.28749 |
| Genital HPV | 0.246161 |
| HPV infection | 0.23045 |
| HPV vaccines | 0.211736 |
| HPV infections | 0.202104 |
|
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| 16460 |
Centers for Disease Control and Prevention |
Html |
en |
Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| e-cigarette advertising | 0.386574 |
| complex survey design | 0.383411 |
| conventional cigarettes | 0.381949 |
| multiple device types | 0.379791 |
| e-cigarette brands | 0.406684 |
| comprehensive tobacco control | 0.455588 |
| product types | 0.46234 |
| nicotine exposure | 0.426682 |
| U.S. Surgeon General | 0.386633 |
| commonly used e-cigarette | 0.45294 |
| response rate | 0.3836 |
| tobacco product dependence | 0.394422 |
| tobacco products | 0.456261 |
| public health practice | 0.392917 |
| commonly reported brand | 0.497195 |
| prevention strategies | 0.378352 |
| e-cigarette product types | 0.425031 |
| Connecticut high school | 0.391616 |
| U.S. middle | 0.520845 |
| United States | 0.438236 |
| Drug Administration | 0.389259 |
| youths | 0.611918 |
| products | 0.458892 |
| Hispanic students | 0.398656 |
|
| nicotine delivery | 0.396715 |
| nationally representative sample | 0.38035 |
| U.S. students | 0.378488 |
| tobacco product | 0.633647 |
| brands | 0.43107 |
| middle school students | 0.427365 |
| substances | 0.384343 |
| rechargeable/refillable e-cigarettes | 0.53826 |
| e-cigarette users | 0.440235 |
| commonly reported brands | 0.421561 |
| certain e-cigarette marketers | 0.400269 |
| high school students | 0.982371 |
| e-cigarettes | 0.820511 |
| National Youth Tobacco | 0.402011 |
| U.S. youths | 0.533109 |
| Nicotine content | 0.391399 |
| relative standard error | 0.380805 |
| commonly used tobacco | 0.573958 |
| high school students.* | 0.401242 |
| Table). | 0.39851 |
| NYTS response rate | 0.380165 |
| disposable e-cigarettes | 0.44469 |
| heavily advertised e-cigarette | 0.402367 |
| non-Hispanic black students | 0.48868 |
|
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