| 4768 |
Centers for Disease Control and Prevention |
Html |
en |
Improving population health: the business community imperative. |
null |
| health intervention strategies | 0.533719 |
| health education | 0.50237 |
| community health indicators | 0.520784 |
| health care reform | 0.515955 |
| health coalitions | 0.544535 |
| health behaviors | 0.499794 |
| high health care | 0.542183 |
| employers | 0.521437 |
| individual health behaviors | 0.495824 |
| population health | 0.969643 |
| health care services | 0.531812 |
| U.S. health care | 0.510794 |
| workforce health | 0.582918 |
| public health officials | 0.49857 |
| health care costs | 0.590302 |
| community health intervention | 0.553558 |
| self-reported health status | 0.498827 |
| community health | 0.682662 |
| state public health | 0.497173 |
| health care management | 0.527164 |
| population health strategies | 0.574028 |
| business leaders | 0.645589 |
| United States | 0.516341 |
| evidence-based worksite health | 0.525979 |
|
| broader community health | 0.52773 |
| health improvement strategies | 0.510614 |
| Florida Health Care | 0.520289 |
| worksite health | 0.538878 |
| population health status | 0.562368 |
| poor population health | 0.559831 |
| population health score | 0.530571 |
| workforce health status | 0.517842 |
| health care | 0.926851 |
| population health improvement | 0.637356 |
| Business-led health coalitions | 0.506618 |
| worksite health promotion | 0.52218 |
| health care purchaser | 0.513288 |
| health promotion programs | 0.497133 |
| National Business Coalition | 0.516901 |
| health education program | 0.50166 |
| business community | 0.583441 |
| workforce health improvement | 0.518832 |
| local health care | 0.521265 |
| population health outcomes | 0.548483 |
| purchasing health care | 0.531895 |
| Typical population health | 0.529834 |
| health insurance premiums | 0.513975 |
| employer-based health coalitions | 0.509038 |
|
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| 6339 |
Centers for Disease Control and Prevention |
Html |
en |
The incidence and health economic burden of ischemic amputation in Minnesota, 2005-2008. |
null |
| ischemic amputation hospitalizations | 0.627398 |
| limb ischemic amputation | 0.761931 |
| United States | 0.511083 |
| CFR Parts | 0.469697 |
| prospective payment systems | 0.537792 |
| Minnesota Department | 0.474537 |
| ischemic limb loss | 0.528734 |
| Vasc Surg | 0.482854 |
| total ischemic amputation | 0.601762 |
| limb ischemic amputations | 0.602918 |
| limb ischemic events | 0.548996 |
| direct inpatient hospital | 0.475621 |
| lower limb amputation | 0.617653 |
| critical limb ischemia | 0.481249 |
| inpatient hospitalization charges | 0.536892 |
| lower limb amputations | 0.546345 |
| ischemic amputation rates | 0.666119 |
| high ischemic amputation | 0.592995 |
| Figure. Lower limb | 0.471328 |
| lower extremity amputation | 0.626464 |
| health care resources | 0.472652 |
| hospital discharge data | 0.473304 |
| ischemic amputees | 0.492243 |
| major lower extremity | 0.485627 |
|
| minor amputation | 0.506356 |
| hard ischemic endpoint | 0.504136 |
| health | 0.518126 |
| primary ischemic symptom | 0.520241 |
| Minnesota | 0.498851 |
| peripheral arterial disease | 0.470977 |
| inpatient hospital charges | 0.479908 |
| inpatient prospective payment | 0.522781 |
| age-adjusted annual incidence | 0.505752 |
| major amputation | 0.528373 |
| minor ischemic amputations | 0.548633 |
| Health Statistics | 0.47565 |
| lower extremity bypass | 0.471829 |
| ischemic amputation | 0.958897 |
| lower limb | 0.678001 |
| ischemic amputation incidence | 0.627019 |
| age-adjusted ischemic amputation | 0.601479 |
| ischemic amputation surveillance | 0.586909 |
| amputation events | 0.503238 |
| Minnesota Hospital Association | 0.482364 |
| coronary heart disease | 0.49963 |
| hospital inpatient | 0.47374 |
| ischemic stroke. People | 0.524913 |
|
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| 6911 |
Centers for Disease Control and Prevention |
Html |
en |
Tracking Progress Toward Global Polio Eradication, 2010-2011 |
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. |
| paralysis onset | 0.622934 |
| low AFP reporting | 0.531366 |
| AFP surveillance indicator | 0.619198 |
| environmental surveillance | 0.578742 |
| polio eradication | 0.659342 |
| stool specimens | 0.614065 |
| subnational areas | 0.542434 |
| NPAFP rate | 0.511993 |
| Western Pacific Region | 0.591001 |
| AFP case detection | 0.518643 |
| surveillance performance indicators | 0.507918 |
| AFP cases | 0.629904 |
| eastern mediterranean region | 0.581894 |
| AFP surveillance reviews | 0.562187 |
| stool specimen collection | 0.563438 |
| adequate stool specimen | 0.541444 |
| AFP case investigations | 0.522764 |
| reestablished WPV transmission | 0.637639 |
| AFP surveillance performance | 0.569465 |
| sufficient AFP surveillance | 0.555251 |
| endemic wpv transmission | 0.61232 |
| polio-affected countries | 0.598051 |
| Global Polio Eradication | 0.556537 |
| flaccid paralysis surveillance | 0.504072 |
|
| PV isolation | 0.541799 |
| specimen adequacy | 0.508237 |
| sensitive AFP surveillance | 0.605641 |
| Polio Eradication Initiative | 0.556042 |
| World Health Organization | 0.502705 |
| national AFP surveillance | 0.620957 |
| stool specimen | 0.564026 |
| AFP surveillance sensitivity | 0.603209 |
| subnational surveillance indicators | 0.510464 |
| poor AFP surveillance | 0.560351 |
| European Region | 0.565398 |
| surveillance indicator targets | 0.547684 |
| AFP surveillance quality | 0.620391 |
| countries | 0.714155 |
| acute flaccid paralysis | 0.593739 |
| AFP case | 0.53479 |
| adequate stool specimens | 0.560107 |
| afp surveillance | 0.960606 |
| adequate stool | 0.573938 |
| AFP surveillance meeting | 0.573591 |
| AFP surveillance deficiencies | 0.555942 |
| WPV outbreaks | 0.634568 |
| high-quality AFP surveillance | 0.557809 |
|
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| 7517 |
Centers for Disease Control and Prevention |
Html |
en |
NCEH A to Z Index - R |
Resources for the National Center for Environmental Health |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
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| 7595 |
Centers for Disease Control and Prevention |
Html |
en |
TB - Vaccine and Immunizations |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| Basic TB Facts | 0.476865 |
| National TB Program | 0.419757 |
| TB Risk Factors | 0.472502 |
| TB Cohort Review | 0.438438 |
| latent tb infection | 0.739409 |
| Stop TB | 0.486012 |
| TB infection online | 0.51927 |
| TB Genotyping | 0.410572 |
| National TB | 0.485318 |
| Interactive TB Data | 0.485308 |
| Community Stop TB | 0.46104 |
| Latent Tuberculosis Infection | 0.267685 |
| TB Education | 0.462813 |
| Effective TB Interviewing | 0.437911 |
| National TB Indicators | 0.479509 |
| TB Facebook | 0.47217 |
| TB Terms | 0.464993 |
| Webinars TB | 0.401033 |
| World TB | 0.548817 |
| TB Contact Investigation | 0.441721 |
| TB Basics | 0.476799 |
| Toolkits TB eDOT | 0.439737 |
| U.S. TB Champions | 0.4178 |
|
| TB Prevention | 0.469376 |
| Detect Drug-Resistant TB | 0.472926 |
| TB Tweets | 0.468304 |
| TB Incidence | 0.426613 |
| TB Diagnostic Guidelines | 0.493485 |
| Drug-Resistant TB | 0.680362 |
| TB | 0.908644 |
| Research TB Epidemiologic | 0.470991 |
| TB updates | 0.461307 |
| Infectious TB | 0.401001 |
| TB Trials Consortium | 0.461838 |
| tb disease | 0.520995 |
| Latent TB Infection-Patient | 0.454275 |
| TB Day Resources | 0.407383 |
| TB Programs | 0.578835 |
| TB Notes | 0.532296 |
| Care Workers TB | 0.42634 |
| Treat Latent TB | 0.492034 |
| TB Treatment | 0.52145 |
| TB Control Programs | 0.429429 |
| TB Resources | 0.470321 |
| Federal TB Task | 0.414715 |
| TB Background | 0.439864 |
|
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| 8886 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - About Malaria |
Education and information about malaria history, disease, transmission, life cycle information, biology of malaria, and CDC activities involving malaria both internationally and domestically. |
| cases | 0.316457 |
| United States | 0.776212 |
| People | 0.262955 |
| high fevers | 0.588674 |
| certain type | 0.583998 |
| malaria | 0.943121 |
| travelers | 0.279382 |
| South Asia | 0.506385 |
| sub-Saharan Africa | 0.546057 |
|
| parasite | 0.300755 |
| chills | 0.318432 |
| malaria transmission | 0.842451 |
| vast majority | 0.567089 |
| fatal disease | 0.577844 |
| humans | 0.286156 |
| deadly disease | 0.528301 |
| flu-like illness | 0.638914 |
|
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| 11054 |
Centers for Disease Control and Prevention |
Html |
en |
CDC library renamed to honor Dr. Stephen B. Thacker | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 37-year career | 0.500188 |
| CDC Director | 0.687726 |
| B. Thacker Legacy | 0.733803 |
| CDC Foundation | 0.68245 |
| Exhibit | 0.416211 |
| Information Center | 0.516885 |
| Clifton Road | 0.508452 |
| Washington | 0.415236 |
| a.m.-12 | 0.417446 |
| Dr. Jeffrey Koplan | 0.597347 |
| CDC Media Office | 0.753986 |
| Friday | 0.418616 |
| Atlanta | 0.416187 |
| Senior Vice President | 0.588627 |
| External Affairs | 0.49908 |
| U.S. DEPARTMENT | 0.496157 |
| contact | 0.415034 |
| CDC Public Health | 0.839812 |
| Harrisburg | 0.418844 |
|
| Chloe Tonney | 0.510546 |
| memorial bust plaque | 0.632575 |
| Epidemic Intelligence Service | 0.61019 |
| official dedication program | 0.616743 |
| CDC Headquarters | 0.694585 |
| Legionnaire | 0.432225 |
| commitment | 0.417174 |
| D.C. | 0.41522 |
| Dr. Thacker | 0.681902 |
| unveiling | 0.437327 |
| opening | 0.418246 |
| Pennsylvania | 0.415067 |
| historic moment | 0.49928 |
| Thacker’s career | 0.594939 |
| public health service | 0.581218 |
| Thomas R. Frieden | 0.610641 |
| Stephen B. Thacker | 0.926093 |
| investigation | 0.4151 |
| HUMAN SERVICES | 0.494805 |
|
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| 11485 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | DBD Bulletin Winter 2012 | Retiring Staff |
Division of Bacterial Diseases Bulletin Winter |
| DBD Immunology Laboratories | 0.803466 |
| liquid chromatography analysis | 0.771555 |
| CDC Director | 0.79779 |
| animal models | 0.704215 |
| vaccine MenAfriVacâ„¢ | 0.807894 |
| serum bactericidal antibodies | 0.810962 |
| pneumococcal disease | 0.703729 |
| fatty acid mapping | 0.76575 |
| various Legionnaires | 0.708169 |
| reference assays | 0.737288 |
| Scott E. Johnson | 0.778685 |
| Chief George Carlone | 0.799281 |
| major meningococcal serogroups | 0.8168 |
| Serum Bactericidal Antibody | 0.823993 |
| CDC’s stock | 0.814003 |
| Scientific Research Society | 0.776725 |
| vaccine introduction | 0.782344 |
| vaccine candidate | 0.778764 |
| MVPDB laboratorian Sandy | 0.774048 |
| chicken egg yolk | 0.766559 |
| highly sensitive antibody | 0.761752 |
| immunologic techniques | 0.709261 |
| meningococcal vaccine development | 0.940042 |
| pneumococcal vaccine effectiveness | 0.850225 |
|
| CDC Chapter | 0.804674 |
| disease bacterium | 0.704108 |
| extensive work | 0.723813 |
| Special Service Award | 0.776251 |
| serum bactericidal assays | 0.87285 |
| United States | 0.748025 |
| analysis models | 0.714714 |
| internationally recognized expert | 0.745629 |
| complex data analysis | 0.766558 |
| bacterial vaccines | 0.719659 |
| meningococcal vaccines | 0.752286 |
| flow cytometric applications | 0.788394 |
| Sigma Xi | 0.750492 |
| onset neonatal sepsis | 0.755715 |
| meningococcal disease. | 0.737375 |
| vaccine coverage assessment | 0.848239 |
| pneumococcal surface antigen | 0.768865 |
| National Immunization Survey | 0.753519 |
| C. Shepard Award | 0.775585 |
| simplest descriptive analysis | 0.765106 |
| CDC Lab Recycling | 0.884249 |
| disease studies | 0.712839 |
| adherence assays | 0.738797 |
| CDC Commendation Award | 0.901701 |
|
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| 11799 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Evaluation Design of New YorkCity's Regulations on Nutrition, Physical Activity, and Screen Timein Early Child Care Centers - CDC |
This article describes the multi-method cross-sectional design used to evaluate New York City Department of Health and Mental Hygiene’s regulations of nutrition, physical activity, and screen time for children aged 3 years or older in licensed group child care centers. |
| center component | 0.378658 |
| Center Evaluation Component | 0.216475 |
| child care centers | 0.721258 |
| center component sample | 0.206773 |
| Classroom Evaluation Component | 0.234278 |
| physical activity regulations | 0.223629 |
| food service staff | 0.212588 |
| Prev Chronic Dis | 0.211924 |
| classroom component | 0.290201 |
| data collection | 0.267798 |
| physical activity | 0.637386 |
| New York City | 0.915617 |
|
| group child care | 0.532855 |
| York City Department | 0.234604 |
| data collection methods | 0.22754 |
| children | 0.233348 |
| child care center | 0.203386 |
| technical assistance | 0.216311 |
| physical activity opportunities | 0.201159 |
| non-DPHO catchment areas | 0.214808 |
| child care facilities | 0.205813 |
| early child care | 0.205657 |
| licensed group child | 0.276297 |
|
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| 13013 |
Centers for Disease Control and Prevention |
Html |
en |
Pertussis | Pregnancy and Whooping Cough | Get Vaccinated |CDC |
Pregnant women should get a whooping cough vaccine. Vaccines are the best way to prevent whooping cough. |
| birthing center | 0.328071 |
| CDC | 0.313543 |
| Español | 0.307648 |
| Tdap vaccine | 0.381093 |
| Page | 0.313201 |
| best way | 0.331843 |
| body | 0.34603 |
| time period | 0.350854 |
| tetanus | 0.307168 |
| pregnant women | 0.359071 |
| Disease Control | 0.329402 |
| Obstetricians | 0.306621 |
| original recommendation | 0.330078 |
| best protection | 0.32653 |
| different age groups | 0.35847 |
| tosferina durante su | 0.361733 |
| different whooping cough | 0.478983 |
| pregnancy | 0.396255 |
| greatest risk | 0.348025 |
| early life | 0.32705 |
| trimester | 0.326175 |
| embarazo | 0.306831 |
| recent study | 0.326233 |
| health benefits | 0.327896 |
| Centers | 0.306329 |
|
| whooping cough vaccine | 0.785836 |
| short-term protection | 0.353646 |
| protection | 0.374351 |
| babies | 0.309766 |
| potentially life-threating complications | 0.350375 |
| preferred time | 0.328017 |
| shot | 0.312095 |
| Prevention | 0.306325 |
| whooping cough vaccines | 0.564329 |
| Gynecologists | 0.30669 |
| American College | 0.354034 |
| hospital | 0.311989 |
| diphtheria | 0.307287 |
| Nurse-Midwives | 0.307119 |
| whooping cough antibodies | 0.475959 |
| breast milk | 0.32565 |
| Whooping cough vaccination | 0.457632 |
| protective antibodies | 0.432376 |
| early protection | 0.325943 |
| whooping cough | 0.930329 |
| la | 0.306835 |
| response | 0.311816 |
| baby | 0.424972 |
| breastfeeding | 0.311323 |
|
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