| 1278 |
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Notes from the Field: Hospitalizations for RespiratoryDisease Among Unaccompanied Children from Central America -Multiple States, June-July 2014 |
Edith N. Nyangoma, MD1,2, Carmen Sofia Arriola, PhD1,3, Jose Hagan, MD1,4, Christina Socias, DrPH1,5, Sara Tomczyk, MSc1,6, Louise Francois Watkins, MD1,6, Matthew Westercamp, PhD1,6, Curi Kim, MD7 (Author affiliations at end of text). |
| CDC | 0.594844 |
| U.S. Army Garrison | 0.579604 |
| Human Services | 0.572197 |
| U.S. Department | 0.650398 |
| pneumococcal pneumonia | 0.694172 |
| pneumococcal pneumonia cases | 0.641256 |
| laboratory-confirmed pneumococcal pneumonia | 0.640536 |
| Lackland Air Force | 0.73751 |
| standard ORR shelters | 0.608619 |
| Naval Base Ventura | 0.842148 |
| U.S. Customs | 0.583202 |
| City Health Department | 0.600841 |
| pneumococcal conjugate vaccine | 0.574699 |
| National Center | 0.585925 |
| County Public Health | 0.681211 |
| influenza activity | 0.815446 |
| Refugee Resettlement | 0.654615 |
| large temporary shelters | 0.572635 |
| Harris County Public | 0.564516 |
| Central American countries | 0.58072 |
| annual influenza vaccination | 0.750285 |
| public health response | 0.585767 |
| Base Ventura County | 0.841547 |
| California Department | 0.57426 |
|
| influenza | 0.918778 |
| unaccompanied children | 0.950002 |
| routine influenza vaccinations | 0.739995 |
| United States | 0.846765 |
| Louise Francois Watkins | 0.573137 |
| State Health Services | 0.590773 |
| Carmen Sofia Arriola | 0.582351 |
| Ventura County Public | 0.582975 |
| Nogales processing center | 0.576464 |
| Air Force Base | 0.720395 |
| influenza B viruses | 0.683043 |
| unaccompanied male children | 0.683595 |
| seasonal influenza vaccine | 0.748147 |
| local health departments | 0.570002 |
| public health | 0.77423 |
| laboratory-confirmed influenza | 0.818518 |
| Edith N. Nyangoma | 0.579387 |
| older unaccompanied children | 0.645614 |
| Border Protection | 0.580047 |
| local public health | 0.587429 |
| influenza pneumonia | 0.754792 |
| standard ORR shelter | 0.606872 |
| influenza viruses | 0.754415 |
| influenza B virus | 0.702042 |
|
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| 4800 |
Centers for Disease Control and Prevention |
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Haiti Cholera Outbreak: Video - Defeating Cholera |
CDC - Global Health |
| 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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| 5221 |
Centers for Disease Control and Prevention |
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CDC and NIH Update Guidelines to Protect Patients from Bloodstream Infections - Press Release: April 4, 2011 |
CDC and NIH Update Guidelines to Protect Patients from Bloodstream Infections |
| conscious sedation services | 0.711219 |
| NIH Director Dr. | 0.732743 |
| Clinical Infectious Diseases | 0.706728 |
| extra medical costs | 0.674854 |
| Francis S. Collins | 0.712633 |
| Intravascular Catheter-Related Infections | 0.827042 |
| antibacterial scrub | 0.618848 |
| Disease Control | 0.632595 |
| hospital ICU patients | 0.685173 |
| health care personnel | 0.766475 |
| Healthcare Infection Control | 0.770284 |
| National Institutes | 0.626581 |
| government agencies | 0.61916 |
| clinical scientists | 0.632011 |
| medical director | 0.618572 |
| recent CDC report | 0.734629 |
| patient safety | 0.701528 |
| author Naomi O'Grady | 0.710953 |
| health care quality | 0.758492 |
| diligent prevention efforts | 0.704912 |
| costly threats | 0.619632 |
| bloodstream infections | 0.945349 |
| u.s. department | 0.698058 |
| health care facilities | 0.763233 |
| maximal sterile barrier | 0.707797 |
|
| infection control guidelines | 0.751976 |
| Hospital Compare website | 0.685058 |
| new guidelines | 0.734947 |
| CDC director | 0.661268 |
| infection control | 0.84185 |
| health care—are | 0.636781 |
| Health Clinical Center | 0.767328 |
| academic institutions | 0.619078 |
| percent Medicare payment | 0.708918 |
| quality patient care | 0.774263 |
| NIH Clinical Center | 0.716126 |
| health departments | 0.61966 |
| professional organizations | 0.620323 |
| health care | 0.821639 |
| catheter-related bloodstream infections | 0.929063 |
| human services | 0.698727 |
| catheter insertion | 0.617976 |
| Practices Advisory Committee | 0.723057 |
| intensive care units | 0.713301 |
| Care Medicine Department | 0.760302 |
| line-associated bloodstream infections | 0.861207 |
| excess medical costs | 0.702935 |
| Thomas R. Frieden | 0.711805 |
| infection rates | 0.623436 |
|
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| 7345 |
Centers for Disease Control and Prevention |
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News and Highlights on Influenza A (H3N2) Variant Viruses |
News and Highlights on Influenza A (H3N2) Variant Viruses (“H3N2v”) - CDC |
| H3N2v Virus Infection | 0.519796 |
| Novel Influenza Infections | 0.482517 |
| Variant Virus Detected | 0.537461 |
| H3N2v Infection | 0.259713 |
| Interim Precautions | 0.212422 |
| email address | 0.384077 |
| Reports More Cases | 0.232083 |
| Origin H3 Infections | 0.409754 |
| Pennsylvania Rises | 0.205548 |
| Influenza A H3N2 | 0.279679 |
| Lessons Learned | 0.228236 |
| H3N2v-Associated Death | 0.204631 |
| CDC Confirms Detection | 0.780516 |
| Pig Exposure | 0.200651 |
|
| Seasonal Flu | 0.434639 |
| H3N2v Cases Reported | 0.473697 |
| Human Infections | 0.235171 |
| Virus Infection Reported | 0.542167 |
| CDC Researchers Highlight | 0.769525 |
| Influenza A Variant | 0.331405 |
| weekly email | 0.385695 |
| New Swine-Origin H3N2 | 0.335997 |
| CDC Reports Cases | 0.971882 |
| Urge High Risk | 0.406193 |
| Variant Virus | 0.683784 |
| H3N2v Outbreak | 0.246251 |
| Novel Influenza Viruses | 0.443261 |
|
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| 8425 |
Centers for Disease Control and Prevention |
Html |
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Beatrice's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Beatrice, a former smoker who successfully quit smoking and who is featured in CDC's Tips from Former Smokers campaign. |
| New York | 0.714515 |
| cigarette | 0.410276 |
| CDC | 0.385859 |
| lives | 0.389636 |
| addiction | 0.381774 |
| boys | 0.389733 |
| video | 0.373773 |
| smoking—related health problems | 0.952267 |
| Beatrice | 0.909805 |
| friends | 0.388383 |
|
| mother | 0.393391 |
| help | 0.378719 |
| times | 0.380591 |
| techniques | 0.374296 |
| heavy smoker | 0.691295 |
| campaign | 0.373507 |
| cigarettes | 0.391101 |
| family | 0.383597 |
| plan | 0.377793 |
|
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| 9042 |
Centers for Disease Control and Prevention |
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Bed Bugs - Frequently Asked Questions (FAQs) |
Frequently asked questions about bed bugs. |
| South America | 0.540594 |
| painful swellings | 0.533909 |
| health care provider | 0.608265 |
| slim flat bodies | 0.559177 |
| best way | 0.565636 |
| red area | 0.534749 |
| box springs | 0.537519 |
| allergic symptoms | 0.537634 |
| parasitic insects | 0.538896 |
| stow-away bed bugs | 0.629706 |
| Cimex lectularius | 0.543606 |
| tell-tale bite marks | 0.622306 |
| bed bugs | 0.972606 |
| blood meal | 0.571669 |
| infected area | 0.532382 |
| rare occasions | 0.532796 |
| dresser tables | 0.538142 |
| Bed bug infestations | 0.648441 |
| antiseptic creams | 0.534076 |
| regular inspection | 0.533592 |
| five-star hotels | 0.538586 |
| bed bug bites | 0.692055 |
| initial bite | 0.57705 |
| enlarged bite marks | 0.613624 |
| United States | 0.539421 |
|
| bite marks | 0.768205 |
| bed bug infestation | 0.646767 |
| easiest ways | 0.5367 |
| long periods | 0.531815 |
| medical attention | 0.53411 |
| bed bug | 0.815129 |
| bite site | 0.575654 |
| allergic reaction | 0.566571 |
| dorm rooms | 0.538204 |
| cruise ships | 0.534367 |
| body parts | 0.535335 |
| skin problems | 0.53374 |
| overnight bags | 0.532409 |
| United Kingdom | 0.539394 |
| secondary skin infection | 0.56316 |
| small bite mark | 0.610428 |
| people | 0.58714 |
| physical signs | 0.537032 |
| visible signs | 0.534139 |
| professional pest control | 0.560419 |
| excessive scratching | 0.540114 |
| living conditions | 0.53916 |
| bed bug bite | 0.643244 |
| bed frames | 0.556167 |
|
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| 10351 |
Centers for Disease Control and Prevention |
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New CDC Vital Signs: Antibiotic Prescribing Putting Patients at Risk | Digital Press Kit | CDC Online Newsroom |
New CDC Vital Signs: Antibiotic Prescribing Putting Patients at Risk |
| 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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| 11783 |
Centers for Disease Control and Prevention |
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CDC Taking Active Steps Related to Hospital Preparedness for Ebola Treatment: 10-14-2014 | Fact Sheet |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Personal protective equipment | 0.58918 |
| CDC | 0.794406 |
| site manager | 0.488015 |
| infection control nurses | 0.61115 |
| CDC Support | 0.602744 |
| Hospital Association/1199SEIU Healthcare | 0.517582 |
| CDC experts | 0.557191 |
| Ebola virus | 0.550212 |
| New York City | 0.487254 |
| health care personnel | 0.51135 |
| U.S. healthcare providers | 0.500101 |
| American Nurses Association | 0.484089 |
| Standard infection control | 0.533035 |
| contact tracing | 0.500519 |
| initial team | 0.46996 |
| Dallas Hospital Investigation | 0.523668 |
| infection control training | 0.544088 |
| Ebola patients | 0.637142 |
| specific healthcare specialties | 0.500174 |
| Strict infection control | 0.533472 |
| Ebola | 0.715324 |
| Emory University hospital | 0.51546 |
| CDC officials | 0.591265 |
| Ebola preparedness | 0.541808 |
| Nebraska Medical Center | 0.48418 |
|
| U.S. healthcare workers | 0.50908 |
| current CDC recommendations | 0.607229 |
| frontline healthcare workers | 0.507126 |
| infection control | 0.938082 |
| additional CDC team | 0.653995 |
| U.S. healthcare | 0.542803 |
| Hospital epidemiology | 0.471982 |
| infected health care | 0.511202 |
| index patient | 0.500915 |
| U.S. healthcare facilities | 0.503265 |
| CDC Response Team | 0.780373 |
| health care workers | 0.532203 |
| public health professionals | 0.512141 |
| hospital | 0.545024 |
| infection control practices | 0.611564 |
| health care | 0.585853 |
| heath care workers | 0.505716 |
| health care worker | 0.58328 |
| healthcare systems preparedness | 0.503882 |
| infection control protocols | 0.543585 |
| local public health | 0.491232 |
| peer-to-peer training | 0.502549 |
| American Hospital Association | 0.503609 |
| Dedicated CDC Response | 0.606153 |
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For General Healthcare Settings in West Africa: PreventingInjury from Injections and Sharps | Ebola Hemorrhagic Fever |CDC |
null |
| centralized medication area | 0.547114 |
| Ebola haemorrhagic fever | 0.542318 |
| administration sets | 0.472016 |
| Ebola infection | 0.483765 |
| Infection prevention | 0.471179 |
| estimated global total | 0.55711 |
| detailed recommendations | 0.472253 |
| new HIV infections1 | 0.549894 |
| Ebola transmission | 0.489945 |
| patient area | 0.483611 |
| additional doses | 0.474118 |
| medication containers | 0.496497 |
| injection safety resources | 0.615048 |
| rectal medications | 0.488828 |
| medication vials | 0.516002 |
| sharps containers | 0.474968 |
| World Health Organization | 0.66082 |
| access diaphragm | 0.47338 |
| Prepare injections | 0.498706 |
| injection equipment | 0.541374 |
| body fluids | 0.473647 |
| injection session | 0.535164 |
| aseptic techniques | 0.476224 |
| multiple patients | 0.473375 |
| multiuse vials | 0.510082 |
|
| health care settings | 0.521343 |
| proper hand hygiene | 0.532229 |
| hand hygiene | 0.536637 |
| intravenous tubing | 0.556013 |
| avoidable risks | 0.478995 |
| Safe injection practices | 0.62623 |
| healthcare personnel | 0.484638 |
| new hepatitis | 0.542171 |
| Standard Precautions | 0.477417 |
| multidose vials | 0.501828 |
| contaminated injections | 0.487735 |
| injectable medications | 0.489032 |
| unsafe medical injections | 0.623036 |
| General injection safety | 0.593189 |
| patient treatment area | 0.542732 |
| single-use vials | 0.505811 |
| sharps container | 0.473686 |
| hepatitis B infections | 0.48373 |
| disposable syringes | 0.478285 |
| various illnesses | 0.485323 |
| hepatitis C infections | 0.483624 |
| uncapped needles | 0.483679 |
| clean area | 0.541174 |
| unsafe injection practices | 0.985577 |
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| 15919 |
Centers for Disease Control and Prevention |
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Comparing 2 National Organization-Level Workplace HealthPromotion and Improvement Tools, 2013-2015 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| North Carolina | 0.595473 |
| health care spending | 0.575392 |
| ScoreCard strategies | 0.568046 |
| healthy workplace practices | 0.602953 |
| small employers | 0.573716 |
| United States | 0.572312 |
| questions | 0.565295 |
| health promotion | 0.686734 |
| healthy workplace data | 0.566699 |
| WorkHealthy America users | 0.611577 |
| health promotion offerings | 0.580326 |
| employers more time | 0.572592 |
| reduced health care | 0.574359 |
| percentage points | 0.565504 |
| Worksite Health ScoreCard | 0.686767 |
| comprehensive approach | 0.575261 |
| Prevention Partners | 0.667783 |
| smaller employers | 0.568678 |
| state health departments | 0.602735 |
| health promotion program | 0.609167 |
| workplace health improvements | 0.57702 |
| health care | 0.585557 |
| workplace health literature | 0.576355 |
|
| employers | 0.783695 |
| ScoreCard users | 0.601444 |
| individual health behaviors | 0.574414 |
| comprehensive workplace health | 0.591214 |
| WorkHealthy America strategies | 0.583493 |
| healthy workplace strategies | 0.566464 |
| workplace health promotion | 0.678468 |
| ScoreCard data | 0.584577 |
| ScoreCard | 0.705896 |
| physical activity | 0.741302 |
| intervention types | 0.583149 |
| environmental supports | 0.568565 |
| health promotion practices | 0.623456 |
| healthy workplaces | 0.700207 |
| socio-ecological model | 0.573429 |
| health promotion interventions | 0.619045 |
| CDC Worksite Health | 0.605683 |
| evidence-based health promotion | 0.579749 |
| WorkHealthy America | 0.92422 |
| largest employers | 0.573551 |
| large employers | 0.570198 |
| WorkHealthy America data | 0.585229 |
| workplace health tools | 0.584823 |
|
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