| 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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Centers for Disease Control and Prevention |
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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 |
| Affordable Care Act | 0.730645 |
| Epidemiology | 0.373381 |
| recent work | 0.761653 |
|
| PDF | 0.255271 |
| infectious disease | 0.824746 |
| PPT | 0.285468 |
| Laboratory Capacity | 0.815189 |
| Infectious Diseases | 0.842388 |
| DOC | 0.265636 |
| page | 0.32719 |
| ELC | 0.421752 |
|
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| 6249 |
Centers for Disease Control and Prevention |
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Gram-negative Bacteria Infections in Healthcare Settings - HAI |
null |
| Klebsiella | 0.473926 |
| CDC | 0.943165 |
| better understanding | 0.467361 |
| genetic materials | 0.481202 |
| B. cepacia | 0.605524 |
| separate outbreaks | 0.529962 |
| Rico health department | 0.619489 |
| aggressive infection control | 0.613461 |
| state health departments | 0.610003 |
| unrelated outbreak | 0.493485 |
| A. baumannii | 0.450435 |
| military medical facilities | 0.579311 |
| common bacteria | 0.601301 |
| laboratory standards-setting institutions | 0.589549 |
| surgical site infections | 0.781527 |
| laboratory tests | 0.451226 |
| gram negative infections | 0.730799 |
| bloodstream infections | 0.640662 |
| unusual resistance | 0.506337 |
| Acinetobacter infections | 0.574674 |
| reference laboratory | 0.45294 |
| available antibiotics | 0.485864 |
| neonatal intensive-care unit | 0.642289 |
| various healthcare facilities | 0.605664 |
| important improvements | 0.451445 |
|
| antibiotic resistance patterns | 0.650294 |
| Ohio health department | 0.61376 |
| Puerto Rico | 0.580894 |
| new ways | 0.483223 |
| Gram-negative infections | 0.691038 |
| Middle East | 0.454055 |
| care unit patients | 0.597493 |
| Healthcare Quality Promotion | 0.619653 |
| state health department | 0.83562 |
| Pseudomonas aeruginosa | 0.532975 |
| intensive-care units | 0.490589 |
| National Healthcare Safety | 0.597358 |
| multiple drugs | 0.479881 |
| aggressive recommendations | 0.469932 |
| E. coli. | 0.467454 |
| E. coli | 0.452334 |
| carbapenemase resistance | 0.515826 |
| P. aeruginosa | 0.48028 |
| gram-negative bacteria | 0.957577 |
| health department | 0.866177 |
| built-in abilities | 0.47238 |
| Multidrug-resistant-Acinetobacter infections | 0.589791 |
| Outbreak investigations | 0.501364 |
| healthcare settings | 0.622221 |
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| 7149 |
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 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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Centers for Disease Control and Prevention |
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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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| 8038 |
Centers for Disease Control and Prevention |
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Kenya - Blog: Improving Indoor Air Quality in Rural Kenya - CDC Global Health |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| clean-burning cookstoves | 0.86462 |
| indoor air quality | 0.819837 |
| personal air pollution | 0.827416 |
| U.S. CDC Kenya | 0.895292 |
| traditional cookstoves | 0.829792 |
| high acceptability | 0.720187 |
| Clean Cookstoves | 0.974862 |
| viable commercial market | 0.838458 |
| health impact | 0.728284 |
| Disease Control | 0.83266 |
| health benefits—CDC | 0.73921 |
| common respiratory diseases | 0.807423 |
| Air Monitoring Group | 0.82705 |
| climate change | 0.722952 |
| household air quality | 0.819508 |
| World Health Organization | 0.812219 |
| rural western Kenya | 0.858958 |
| local economies | 0.72077 |
| Kenya Medical Research | 0.847225 |
| cooking fuel | 0.720293 |
| people worldwide die | 0.789487 |
| cleaner cookstove alternatives | 0.824639 |
| short term effects | 0.808049 |
| kitchen performance tests | 0.807173 |
| ‘quick stove | 0.742085 |
|
| acute respiratory infections | 0.80335 |
| clay foundation | 0.719457 |
| efficient cookstoves | 0.878004 |
| Secretary Clinton | 0.721138 |
| health toll staggering | 0.814739 |
| indoor air pollution | 0.83372 |
| ceramic cylinder | 0.717271 |
| rural Kenya | 0.752993 |
| Nyanza Province | 0.720919 |
| respiratory diseases | 0.816961 |
| ceramic cookstove | 0.725607 |
| new stoves | 0.824955 |
| measurable health benefits | 0.816652 |
| upesi jiko | 0.726744 |
| role—and novel marketing | 0.823456 |
| Global Alliance | 0.832611 |
| relatively new sector | 0.792658 |
| pm ET | 0.724319 |
| KENYA BLOG | 0.773756 |
| impoverished communities | 0.718901 |
| cooking technologies | 0.720075 |
| air pollution | 0.89449 |
| known risk factor | 0.800213 |
| small window cut | 0.809687 |
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Centers for Disease Control and Prevention |
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Tobacco Cessation Among Users of Telephone and Web-BasedInterventions - Four States, 2011-2012 |
Mary Puckett, PhD1,2, Antonio Neri, MD2, Trevor Thompson2, J. Michael Underwood, PhD2, Behnoosh Momin, MS, MPH2, Jennifer Kahende, PhD3, Lei Zhang, PhD3, Sherri L. Stewart, PhD2 (Author affiliations at end of text). |
| cessation service | 0.626994 |
| best tobacco cessation | 0.386378 |
| tobacco cessation success | 0.396476 |
| public health practitioners | 0.360777 |
| single-service users | 0.256009 |
| tobacco cessation | 0.928024 |
| tobacco control programs | 0.229441 |
| Web-only users | 0.653438 |
| telephone-only users | 0.307679 |
| marital status | 0.239567 |
| education level | 0.241808 |
| primary cessation service | 0.350328 |
| tobacco users | 0.22438 |
| dual-service users | 0.953197 |
| public health | 0.440301 |
| participants | 0.239265 |
| cessation service users | 0.410463 |
| telephone cessation services | 0.384123 |
| dual-service cessation interventions | 0.365591 |
| tobacco cessation service | 0.56855 |
|
| state-managed tobacco cessation | 0.441268 |
| additional cessation practices | 0.326597 |
| public health programs | 0.268458 |
| cessation success | 0.648417 |
| smoking characteristics | 0.244046 |
| tobacco cessation programs | 0.665032 |
| Web-based services | 0.304268 |
| cessation services | 0.651853 |
| measured cessation success | 0.331209 |
| state-provided cessation service | 0.498842 |
| additional cessation | 0.340899 |
| Chronic Disease Prevention | 0.226051 |
| long-term cessation | 0.3303 |
| 30-day PPA | 0.256385 |
| additional cessation benefit | 0.338023 |
| cessation service providers | 0.404262 |
| statistically significant differences | 0.257351 |
| confidence interval | 0.274031 |
| tobacco control contexts | 0.214753 |
| Web-based cessation services.* | 0.441702 |
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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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Centers for Disease Control and Prevention |
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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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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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