| 9598 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Massachusetts Emergency Medical Service Stroke Quality Improvement Collaborative, 2009"2012 - CDC |
Quality improvement collaboratives are a popular model used to address gaps between evidence-based practice and patient care. Little is known about use of such collaboratives in emergency medical services, particularly for improving prehospital stroke care. |
| acute stroke care | 0.552915 |
| stroke screening tools | 0.435766 |
| quality improvement collaboratives | 0.442373 |
| emergency stroke treatment | 0.449892 |
| timely stroke treatment | 0.428288 |
| recurrent stroke | 0.452001 |
| American Stroke Association | 0.43208 |
| Angeles Prehospital Stroke | 0.465399 |
| stroke quality improvement | 0.591215 |
| stroke mortality | 0.452176 |
| EMS Stroke Point | 0.587557 |
| process-based stroke performance | 0.489797 |
| Massachusetts EMS Stroke | 0.687204 |
| EMS agencies | 0.558431 |
| stroke screening | 0.481586 |
| internal stroke policies | 0.437728 |
| stroke mimics | 0.432249 |
| in-hospital stroke care | 0.512185 |
| Stroke Care Collaborative | 0.482923 |
| stroke systems | 0.444768 |
| stroke care data | 0.508731 |
| stroke care practices | 0.495133 |
| stroke recognition | 0.467857 |
| Association/American Stroke Association | 0.552905 |
| stroke patients | 0.522027 |
|
| high-quality stroke care | 0.50709 |
| Stroke Collaborative Reaching | 0.523295 |
| stroke alert policy | 0.434469 |
| Int J Stroke | 0.410575 |
| prehospital stroke care | 0.765643 |
| stroke performance measure | 0.478731 |
| emergency medical services | 0.732485 |
| stroke performance measures | 0.649101 |
| Heart Association/American Stroke | 0.552913 |
| acute stroke symptoms | 0.481067 |
| stroke prenotification | 0.462715 |
| stroke care | 0.963012 |
| Cincinnati Stroke Scale | 0.455866 |
| stroke QIC pilot | 0.536187 |
| prehospital stroke performance | 0.639814 |
| Stroke Prevention | 0.437056 |
| Stroke Association Expert | 0.425918 |
| stroke identification | 0.4177 |
| acute ischemic stroke | 0.558934 |
| EMS Stroke QIC | 0.728246 |
| et al | 0.440804 |
| Stroke Registry QIC | 0.522206 |
| stroke quality performance | 0.496497 |
| pilot EMS Stroke | 0.517672 |
|
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| 10482 |
Centers for Disease Control and Prevention |
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Conference Call May 8, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10516 |
Centers for Disease Control and Prevention |
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Email Updates: January 13, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| suspect malaria | 0.704114 |
| CDC | 0.999623 |
| avian influenza | 0.785619 |
| United States | 0.673289 |
| Emergency Preparedness | 0.662627 |
| COCA Email Update | 0.712068 |
| FDA Safety Information | 0.699302 |
| Salmonella Stanley Linked | 0.642301 |
| public health community | 0.692451 |
| U.S. Reach 40-Year | 0.686821 |
| – (CDC) | 0.750292 |
| new avian influenza | 0.713104 |
| CDC Science Clips | 0.84305 |
| human health information | 0.724611 |
| Additional COCA Conference | 0.693466 |
| CDC Influenza Division | 0.846275 |
| new H7N9 virus | 0.685532 |
| important safety information | 0.676835 |
| health care providers | 0.772017 |
| Weekly Flu View | 0.666319 |
| human medical products | 0.66281 |
| Free CE credit/contact | 0.659366 |
| Specific Hazards preparedness | 0.674402 |
| hazardous material incidents | 0.653921 |
|
| malaria prevention strategies | 0.786689 |
| ongoing malaria transmission | 0.772643 |
| Virus Infection Reported | 0.697473 |
| available immunization resources | 0.68372 |
| Current Travel Warnings | 0.652371 |
| Human Avian Influenza | 0.719452 |
| seasonal flu | 0.645133 |
| subject matter expert | 0.824201 |
| in-person training centers | 0.658264 |
| malaria cases | 0.851363 |
| recent ACIP recommendations | 0.695121 |
| FoodSafety.gov Reports FDA | 0.68066 |
| Event Reporting Program | 0.653457 |
| recent vaccine recommendations | 0.67222 |
| weekly influenza surveillance | 0.681769 |
| malaria infections | 0.705669 |
| substance identification support | 0.655973 |
| emergency responders | 0.661345 |
| FDA Investigates Outbreak | 0.673584 |
| USDA Food Recalls | 0.654119 |
| Response Training Resources | 0.670618 |
| CDC subject matter | 0.997976 |
| confirmed malaria cases | 0.792001 |
|
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NIOSH Regulatory Agenda |
null |
| Congress | 0.240791 |
| data | 0.239128 |
| United States | 0.411973 |
| edition | 0.237794 |
| Federal Government | 0.590923 |
| Federal entities | 0.416658 |
| deregulatory activities | 0.426588 |
| Occupational Safety | 0.459036 |
| spring | 0.239388 |
| Unified Agenda | 0.935002 |
| fall | 0.24376 |
| uniform reporting | 0.43789 |
| commissions | 0.245951 |
|
| review | 0.237187 |
| regulatory agendas | 0.429118 |
| departments | 0.242246 |
| http://www.reginfo.gov/public/do/eAgendaMain | 0.237467 |
| National Institute | 0.453234 |
| development | 0.274565 |
| NIOSH | 0.459193 |
| Health | 0.243377 |
| agencies | 0.273557 |
| Executive Order | 0.446395 |
| Unified Regulatory Agenda | 0.770993 |
| regulatory changes | 0.433992 |
| regulations | 0.278604 |
|
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| 11846 |
Centers for Disease Control and Prevention |
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Pertussis | Whooping Cough | Clinical | Complications | CDC |
Clinical Complications of Pertussis |
| Human Services | 0.481394 |
| Vitek CR | 0.505595 |
| pertussis | 0.987547 |
| U.S. Department | 0.484644 |
| McGraw-Hill Companies | 0.490207 |
| Disease Control | 0.484928 |
| Public Health Informatics | 0.637101 |
| young children | 0.524395 |
| seizures | 0.395195 |
| dehydration | 0.400939 |
| Murphy TV. Trends | 0.625795 |
| Pascual FB | 0.512066 |
| epistaxis | 0.365283 |
| National Center | 0.47991 |
| hypoxia | 0.410473 |
| infants | 0.564722 |
| pertussis vaccines | 0.819849 |
| adolescents | 0.377379 |
| Kast JM | 0.502406 |
| rectal prolapse | 0.737273 |
| severe complications | 0.807856 |
| common complications | 0.608406 |
| treatment | 0.37427 |
| Public Health | 0.643152 |
| older age group | 0.651563 |
|
| United States | 0.481899 |
| Fifteenth Edition | 0.484291 |
| adults | 0.392097 |
| urinary incontinence | 0.732157 |
| Bisgard KM | 0.667801 |
| pneumothorax | 0.42067 |
| result | 0.373007 |
| life-threatening complications | 0.666894 |
| pneumonia | 0.401267 |
| toxin | 0.395376 |
| difficulty sleeping | 0.499885 |
| Notifiable Diseases Surveillance | 0.634464 |
| Weight loss | 0.497452 |
| refractory pulmonary hypertension | 0.672086 |
| Cortese MM | 0.499843 |
| Integrated Surveillance Systems | 0.639612 |
| subdural hematomas | 0.672708 |
| severe coughing | 0.598985 |
| hospitalization rates | 0.520703 |
| Preventive Medicine | 0.480263 |
| Health Information | 0.488098 |
| Wallace RB | 0.486879 |
| Maxcy-Rosenau-Last Public Health | 0.630685 |
| Coordinating Center | 0.482786 |
|
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| 12012 |
Centers for Disease Control and Prevention |
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Brote de la enfermedad del Ébola de 2014 en África Occidental - Cantidad de casos |
null |
| Ebola Diagnosed | 0.497795 |
| country | 0.4405 |
| cluster | 0.330786 |
| CDC | 0.33665 |
| United States | 0.387283 |
| Guinea | 0.335962 |
| ministries | 0.317985 |
| Ebola virus transmission | 0.926934 |
| Sierra Leone | 0.45589 |
| Ebola cases | 0.487728 |
| widespread transmission | 0.554076 |
| incubation periods | 0.544671 |
| current | 0.332874 |
| conjunction | 0.318256 |
| Case counts | 0.389287 |
|
| potential contacts | 0.379407 |
| World Health Organization | 0.584526 |
| Public health authorities | 0.436946 |
| Health Organization updates | 0.446709 |
| countries | 0.354404 |
| country classification | 0.431044 |
| Liberia | 0.317194 |
| Ebola patient | 0.610577 |
| new confirmed cases | 0.430564 |
| control measures | 0.450899 |
| person | 0.32738 |
| information | 0.338096 |
| U.S | 0.317747 |
| new cases | 0.368742 |
| category | 0.315598 |
|
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| 12943 |
Centers for Disease Control and Prevention |
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Measles | Cases and Outbreaks | CDC |
null |
| generalized maculopapular rash… | 0.375129 |
| CDC’s National | 0.347698 |
| unvaccinated Amish communities | 0.378963 |
| measles elimination | 0.589489 |
| outbreak investigation | 0.410338 |
| Casos y brotes | 0.349206 |
| Measles Outbreak | 0.620052 |
| large outbreaks | 0.350556 |
| measles outbreaks | 0.572983 |
| Shelby County | 0.370217 |
| Customs Enforcement | 0.373083 |
| additional information | 0.342531 |
| Associated International Traveler | 0.371444 |
| MMWR. Sep | 0.411506 |
| large measles | 0.58251 |
| California | 0.347553 |
| measles virus type | 0.599888 |
| United States Immigration | 0.387325 |
| MMWR. Vol | 0.370143 |
| Respiratory Diseases | 0.347056 |
| multi-state measles | 0.569869 |
| high vaccination coverage | 0.375744 |
| record number | 0.347253 |
| ongoing outbreak | 0.400184 |
|
| United States | 0.780825 |
| MMWR. Feb | 0.346081 |
| Surveillance Manual chapter | 0.375626 |
| ongoing measles | 0.539603 |
| measles cases | 0.792359 |
| U.S. | 0.390439 |
| U.S. residents | 0.343644 |
| New York | 0.386556 |
| positive measles | 0.547347 |
| MMWR. Apr | 0.344461 |
| CDC scientists | 0.34385 |
| U.S. Immigration | 0.343945 |
| European Region | 0.343263 |
| unvaccinated people | 0.344833 |
| people | 0.365351 |
| local public health | 0.372851 |
| New Jersey | 0.347817 |
| large outbreak | 0.450494 |
| Orange County | 0.406884 |
| amusement park | 0.388359 |
| Disney theme parks | 0.369972 |
| measles | 0.958548 |
| greatest number | 0.34523 |
| outbreak control | 0.411361 |
|
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Ebola Active Monitoring System for Travelers Returning fromWest Africa - Georgia, 2014-2015 |
Mary Parham1, Laura Edison2,3, Karl Soetebier2, Amanda Feldpausch2, Audrey Kunkes2, Wendy Smith2, Taylor Guffey2, Romana Fetherolf4, Kathryn Sanlis3, Julie Gabel2, Alex Cowell2, Cherie Drenzek2 (Author affiliations at end of text). |
| potential Ebola | 0.598247 |
| infected travelers | 0.566016 |
| DPH epidemiologists | 0.77627 |
| potential Ebola virus | 0.540714 |
| Ebola response team | 0.526063 |
| Ebola infection | 0.509093 |
| potential Ebola patients | 0.591772 |
| daily health status | 0.489983 |
| medical evaluation | 0.529971 |
| DPH staff members | 0.591632 |
| symptomatic travelers | 0.547368 |
| DPH information technology | 0.57953 |
| electronic notifiable disease | 0.536497 |
| EAMS traveler login | 0.518111 |
| Ebola Active Monitoring | 0.594666 |
| personal protective equipment | 0.51727 |
| e-mail alerts | 0.49736 |
| direct active monitoring | 0.504558 |
| appropriate medical evaluation | 0.520045 |
| travelers | 0.889804 |
| health status | 0.525134 |
| EAMS direct login | 0.472582 |
| Public Health Information | 0.482015 |
| specific Ebola symptoms | 0.546061 |
| active monitoring | 0.970259 |
|
| Ebola | 0.655075 |
| Ebola virus disease | 0.553194 |
| Active Monitoring Agreement | 0.498614 |
| monitoring period | 0.535216 |
| epidemiologists monitor travelers | 0.642646 |
| risk travelers | 0.541355 |
| active monitoring program | 0.560966 |
| entry screening | 0.471729 |
| CDC-developed Ebola care | 0.53182 |
| public health | 0.560467 |
| EAMS | 0.570214 |
| postarrival active monitoring | 0.514827 |
| Mary Parham | 0.473911 |
| travelers facilitates | 0.553053 |
| public health component | 0.475132 |
| previously documented Ebola | 0.551059 |
| EAMS dashboard | 0.486122 |
| potential Ebola cases | 0.527757 |
| Ebola signs | 0.520884 |
| Ebola testing | 0.497877 |
| health status report | 0.489123 |
| West Africa | 0.472323 |
| 21-day monitoring period | 0.486405 |
| Ebola-affected countries | 0.50452 |
|
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El virus del Zika | CDC |
Información sobre el virus del Zika. Facilitada por los Centros para el Control y la Prevención de Enfermedades de los EE. UU. |
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| 15669 |
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Contraceptive Use Among Nonpregnant and Postpartum Women atRisk for Unintended Pregnancy, and Female High School Students, inthe Context of Zika Preparedness - United States, 2011-2013 and2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| effective contraceptive methods | 0.750159 |
| Zika virus | 0.835512 |
| effective contraception | 0.506504 |
| transdermal contraceptive patch | 0.61355 |
| fertility-based awareness methods | 0.565936 |
| nonpermanent contraceptive methods | 0.626333 |
| contraceptive pills | 0.696073 |
| ongoing contraceptive services.§§§ | 0.579822 |
| unintended pregnancy | 0.944852 |
| contraceptive method options | 0.614244 |
| FDA-approved contraceptive methods | 0.590648 |
| contraceptive method availability | 0.5789 |
| sexually active female | 0.685545 |
| contraception | 0.62677 |
| LARC methods | 0.553848 |
| §§Moderately effective contraceptive | 0.580373 |
| permanent contraception | 0.52963 |
| oral contraceptive pills | 0.626729 |
| Moderately effective contraceptive | 0.602042 |
| Zika virus transmission | 0.517344 |
| contraceptive methods | 0.949098 |
| emergency contraception | 0.517166 |
| women | 0.64005 |
| effective contraceptive option | 0.622907 |
| contraceptive use profile | 0.550865 |
|
| LARC | 0.661465 |
| age group | 0.52023 |
| contraceptive care | 0.565317 |
| Zika virus infection | 0.634041 |
| states | 0.49232 |
| female high school | 0.734012 |
| small sample sizes | 0.497815 |
| postpartum women | 0.497436 |
| long-acting reversible contraception | 0.572643 |
| contraceptive need | 0.555834 |
| live birth | 0.515282 |
| permanent contraceptive methods | 0.655692 |
| intrauterine devices | 0.527499 |
| effective reversible method | 0.494093 |
| transdermal contraceptive patches | 0.584914 |
| **Moderately effective contraceptive | 0.576352 |
| §Moderately effective contraceptive | 0.583229 |
| high school students | 0.740361 |
| contraceptive services | 0.611906 |
| reversible contraception | 0.599966 |
| Aedes albopictus mosquitoes | 0.50783 |
| high device costs | 0.508842 |
| contraceptive implants | 0.557815 |
| risk | 0.492316 |
|
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