| 4779 |
Centers for Disease Control and Prevention |
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Pertussis Complications |
Pertussis complications in infants, children teens, and adults. |
| Public Health | 0.43108 |
| older age group | 0.44509 |
| United States | 0.275544 |
| Fifteenth Edition | 0.278662 |
| adults | 0.299459 |
| Human Services | 0.276124 |
| teens | 0.201428 |
| Vitek CR | 0.302096 |
| Bisgard KM | 0.455746 |
| U.S. Department | 0.278068 |
| violent coughing fits | 0.498479 |
| McGraw-Hill Companies | 0.284907 |
| Disease Control | 0.274941 |
| Public Health Informatics | 0.430054 |
| young children | 0.31608 |
| Murphy TV. Trends | 0.415292 |
| deadly complications | 0.378567 |
| hospital | 0.229857 |
| Pascual FB | 0.309076 |
|
| National Center | 0.275798 |
| pertussis vaccines | 0.709004 |
| Notifiable Diseases Surveillance | 0.427118 |
| Weight loss | 0.282024 |
| Healthcare professionals | 0.284579 |
| Cortese MM | 0.295534 |
| Kast JM | 0.298559 |
| Integrated Surveillance Systems | 0.430573 |
| severe coughing | 0.312683 |
| Preventive Medicine | 0.274314 |
| common complications | 0.340384 |
| Health Information | 0.284344 |
| pertussis vaccine | 0.635466 |
| Wallace RB | 0.281853 |
| Maxcy-Rosenau-Last Public Health | 0.423198 |
| lung infection | 0.493259 |
| bladder control | 0.28173 |
| Coordinating Center | 0.278097 |
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North Dakota Activities to Prevent HAIs |
null |
| MPEG | 0.26842 |
| funding | 0.453474 |
| monthly update | 0.797202 |
| email address | 0.964024 |
| different file formats | 0.706107 |
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|
| PDF | 0.255271 |
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| DOC | 0.265636 |
| page | 0.32719 |
| ELC | 0.421752 |
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Centers for Disease Control and Prevention |
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Global Health - Somalia |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0143 |
Volumen 9 — Diciembre 20, 2012. |
| LeBlanc WG | 0.883828 |
| peor perfil | 0.824605 |
| Tannenbaum SL | 0.910684 |
| McClure LA | 0.831173 |
| Kachan D | 0.832148 |
|
| Fernandez CA | 0.8561 |
| Arheart KL | 0.886585 |
| salud claves | 0.796706 |
| Chronic Dis | 0.8819 |
| vida sedentario | 0.801368 |
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| 12054 |
Centers for Disease Control and Prevention |
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Evidence for a Decrease in Transmission of Ebola Virus -Lofa County, Liberia, June 8-November 1, 2014 |
On November 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| recent decrease | 0.364769 |
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| Zoonotic Infectious Disease | 0.393962 |
| MMWR Early Release | 0.368684 |
| case-based data | 0.525089 |
| Social Welfare | 0.3863 |
| transmission | 0.368318 |
| ill persons | 0.382912 |
| Aditya Sharma | 0.365335 |
| local population | 0.468764 |
| family members | 0.375989 |
| newly reported cases | 0.636719 |
| test results | 0.438897 |
| World Health Organization | 0.473896 |
| 12Public Health England | 0.367954 |
| Liberian MoHSW | 0.371044 |
| Liberian Ministry | 0.368663 |
| local health offices | 0.431445 |
| Operational Center Geneva | 0.388296 |
| persons | 0.45406 |
|
| northern Liberia | 0.375321 |
| county health office | 0.516825 |
| new cases | 0.457282 |
| Ebola virus disease | 0.536144 |
| Public Health England | 0.368622 |
| community decedents | 0.543369 |
| new admissions | 0.387775 |
| 3World Health Organization | 0.369434 |
| possible Ebola | 0.466775 |
| new reported cases | 0.405907 |
| Foya ETU | 0.677317 |
| Lofa County Health | 0.441217 |
| local government health | 0.386004 |
| Sans FrontiУЈres | 0.38527 |
| 4Lofa County Health | 0.389589 |
| MSF Field Teams | 0.366334 |
| oral swab specimens | 0.445391 |
| Virus — Lofa | 0.376733 |
| Lofa County | 0.92681 |
| aggregate data | 0.475758 |
| Liberia | 0.432241 |
| health offices | 0.471995 |
| district health offices | 0.374011 |
| comprehensive response strategy | 0.459654 |
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Work Together - Tools for Successful CHI Efforts - Chi Nav -CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| IRS Final Rule | 0.788558 |
| Related resources | 0.525368 |
| Health Needs Assessments | 0.971153 |
| community action agencies | 0.665837 |
| readiness assessments | 0.519427 |
| final regulations | 0.514894 |
| Main Section | 0.518129 |
| Populations Footprint tool | 0.591447 |
| key concept | 0.524731 |
| health care providers | 0.620415 |
| data-visualization tool | 0.524011 |
| interactive framework | 0.515918 |
| additional tools | 0.515612 |
| Excise Tax Return | 0.583105 |
| government hospitals | 0.526629 |
| Waterbury Health Improvement | 0.78355 |
| health priorities | 0.528539 |
| multi-sector collaboration | 0.527812 |
| Community Health Needs | 0.966309 |
| action plan | 0.516955 |
| Charitable Hospitals | 0.797236 |
| Corner Stores Planning | 0.587954 |
| separate CHNA report | 0.638278 |
| key area demographics | 0.62667 |
| Health Improvement Partnership | 0.768966 |
|
| Internal Revenue Service | 0.60586 |
| key concepts | 0.896043 |
| planning interventions | 0.528621 |
| Greater Waterbury Health | 0.786123 |
| health departments | 0.552383 |
| collaborative work | 0.62246 |
| CHNA report | 0.778823 |
| nonprofit organizations | 0.517926 |
| hospital facilities | 0.617005 |
| community collaborative map | 0.645935 |
| health department | 0.61926 |
| combined effort | 0.5177 |
| real-life examples | 0.516076 |
| community needs | 0.565097 |
| local public health | 0.627385 |
| hospital facility | 0.903604 |
| community health centers | 0.698072 |
| greater collective impact | 0.646437 |
| free registration | 0.522513 |
| joint CHNA report | 0.641319 |
| collective impact | 0.726132 |
| joint CHNA reports. | 0.637787 |
| unrelated hospital organizations | 0.635128 |
| effective planning tool | 0.594403 |
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Healthy Homes | Tips by Room |
Good Health Begins at Home — Learn what you can do to help yourself and your family to have better health at home. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Ensuring Safe Dental Care | CDC Features |
CDC has created new tools and resources to help dental staff better follow infection prevention recommendations in the dental setting. |
| occurrences | 0.320428 |
| Dental Health-Care Settings | 0.484389 |
| Infection Control | 0.576768 |
| infection prevention guidelines | 0.553369 |
| infection prevention practices | 0.926528 |
| step-by-step recommendations | 0.385576 |
| evidence-based resource | 0.471882 |
| infection prevention procedures | 0.565296 |
| investigators | 0.318328 |
| dental office | 0.390299 |
| health care providers | 0.447672 |
| CDC review | 0.398016 |
| proper infection prevention | 0.698672 |
|
| dental setting | 0.541699 |
| dental staff adopt | 0.451918 |
| patients | 0.317224 |
| Dental Health-Care Settings–2003 | 0.462604 |
| resources | 0.337428 |
| inconsistent compliance | 0.393544 |
| new tools | 0.396807 |
| infection prevention | 0.98408 |
| infection prevention recommendations | 0.727779 |
| Dental Settings | 0.481281 |
| Basic Expectations | 0.521617 |
| Summary | 0.344049 |
| dental staff | 0.531323 |
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Cardiovascular Health Status by Occupational Group - 21States, 2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| normal blood glucose | 0.443053 |
| health care provider | 0.457322 |
| highest prevalence | 0.483788 |
| ideal scores | 0.592227 |
| ideal individual CHMs | 0.507112 |
| education level | 0.487903 |
| BRFSS | 0.502014 |
| blood pressure | 0.800216 |
| BRFSS questions | 0.464694 |
| body mass index | 0.529788 |
| social services employees | 0.619974 |
| American Heart Association | 0.675906 |
| respondents | 0.483498 |
| cardiovascular health indicators | 0.470527 |
| material moving employees | 0.537525 |
| ideal cardiovascular health | 0.592292 |
| prevalence ratios | 0.472621 |
| normal blood pressure | 0.45011 |
| United States | 0.497691 |
| Individual cardiovascular health | 0.473526 |
| effective health promotion | 0.466118 |
| cardiovascular health interventions | 0.46136 |
| U.S. occupational groups | 0.472915 |
| fewer CHMs | 0.55249 |
| cardiovascular health research | 0.46306 |
|
| health promotion | 0.57465 |
| occupation module | 0.505319 |
| major groups.¶ Respondents | 0.483411 |
| cardiovascular health | 0.946429 |
| prevalence | 0.509985 |
| employer-sponsored health promotion | 0.464633 |
| heart disease | 0.488389 |
| heart disease mortalities | 0.440872 |
| cardiovascular health status | 0.587835 |
| cardiovascular health metrics | 0.58288 |
| National Institute | 0.46504 |
| CHM score | 0.752765 |
| health promotion programs | 0.553538 |
| fewer CHM | 0.501372 |
| active military duty | 0.530263 |
| lowest adjusted prevalence | 0.504402 |
| occupational safety | 0.537607 |
| CHM scores | 0.466282 |
| occupational groups | 0.771404 |
| occupation numeric codes | 0.446758 |
| physical activity | 0.703508 |
| CDC Worksite Health | 0.442953 |
| high blood pressure | 0.635854 |
| Standard Occupational Classification | 0.455346 |
|
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Global Routine Vaccination Coverage, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| immunization program performance | 0.496545 |
| immunization services | 0.431882 |
| vaccines | 0.482268 |
| polio vaccine | 0.39777 |
| routinely recommended vaccines | 0.395244 |
| gross national income | 0.488148 |
| Vaccine Alliance | 0.39494 |
| higher-income countries | 0.401712 |
| incompletely vaccinated children | 0.539949 |
| Western Pacific Region | 0.424605 |
| United Nations Children | 0.430182 |
| subnational coverage data | 0.389193 |
| vaccination coverage | 0.75739 |
| national immunization schedule | 0.400089 |
| specified target group | 0.372756 |
| national coverage | 0.400498 |
| lower middle-income countries | 0.713657 |
| country income | 0.430415 |
| national MCV1 coverage | 0.408951 |
| national vaccination coverage | 0.441403 |
| higher coverage | 0.379095 |
| World Bank income | 0.412218 |
| Vaccine Action Plan | 0.686834 |
|
| pneumococcal conjugate vaccine | 0.407777 |
| coverage | 0.967465 |
| high coverage | 0.386183 |
| World Health Organization | 0.550205 |
| global immunization partners | 0.383376 |
| global coverage | 0.510283 |
| National DTP3 coverage | 0.486309 |
| countries | 0.812334 |
| Gavi support | 0.613588 |
| new vaccine introduction | 0.487284 |
| coverage estimates | 0.39667 |
| high quality vaccination | 0.369939 |
| diphtheria-tetanus-pertussis vaccine | 0.473076 |
| DTP3 coverage | 0.582164 |
| Bacille Calmette-Guérin vaccine | 0.38187 |
| Expanded Program | 0.388704 |
| low-income countries | 0.490524 |
| Global Vaccine Action | 0.678146 |
| WHO/UNICEF vaccination coverage | 0.414315 |
| equitable immunization services | 0.370377 |
| high vaccination coverage | 0.412111 |
| country income category | 0.397392 |
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