| 1279 |
Centers for Disease Control and Prevention |
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Prevention and Control of Seasonal Influenza with Vaccines:Recommendations of the Advisory Committee on Immunization PracticesACIP - United States, 2014-15 Influenza Season |
Lisa A. Grohskopf, MD1, Sonja J. Olsen, PhD1, Leslie Z. |
| ACIP Influenza Work | 0.428687 |
| U.S.-licensed influenza vaccines | 0.441245 |
| cold-adapted influenza vaccine | 0.468438 |
| influenza virus vaccine | 0.470659 |
| Higher-ovalbumin-content influenza vaccines | 0.418923 |
| seasonal influenza vaccination | 0.428304 |
| live attenuated influenza | 0.56824 |
| children | 0.459748 |
| severe allergic reaction | 0.439979 |
| Trivalent influenza vaccines | 0.444873 |
| Quadrivalent influenza vaccines | 0.440963 |
| seasonal influenza vaccines | 0.525963 |
| influenza vaccine formulations | 0.465466 |
| influenza vaccine | 0.940094 |
| symptomatic seasonal influenza | 0.414841 |
| influenza activity | 0.413202 |
| seasonal influenza | 0.658877 |
| well-matched influenza viruses | 0.414887 |
| culture-based inactivated influenza | 0.418847 |
| influenza virus circulation | 0.426773 |
| influenza vaccine effectiveness | 0.471345 |
| inactivated influenza vaccine | 0.621875 |
| annual influenza vaccination | 0.461768 |
| 2014-15 influenza season | 0.409499 |
|
| wild-type influenza infection | 0.412848 |
| Attenuated Influenza Vaccine | 0.496418 |
| culture-confirmed influenza | 0.410783 |
| licensed influenza vaccines | 0.433811 |
| Routine annual influenza | 0.42486 |
| Influenza Vaccine Composition | 0.496465 |
| U.S. seasonal influenza | 0.435985 |
| vaccine virus | 0.417262 |
| available influenza vaccines | 0.436735 |
| split influenza vaccine | 0.472979 |
| seasonal influenza vaccine | 0.650524 |
| influenza vaccine products | 0.487626 |
| vaccine dose considerations | 0.458615 |
| trivalent inactivated influenza | 0.451991 |
| influenza season | 0.440028 |
| influenza vaccines | 0.664537 |
| recombinant influenza vaccine | 0.479609 |
| influenza vaccination | 0.498116 |
| egg-based influenza vaccines | 0.428149 |
| influenza complications | 0.414706 |
| wild-type influenza | 0.417542 |
| influenza viruses | 0.426864 |
| et al | 0.433098 |
| ACIP seasonal influenza | 0.456975 |
|
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| 6602 |
Centers for Disease Control and Prevention |
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Price and healthfulness of snacks in 32 YMCA after-school programs in 4 US metropolitan areas, 2006-2008. |
A common perception is that healthful foods are more expensive than less healthful foods. We assessed the cost of beverages and foods served at YMCA after-school programs, determined whether healthful snacks were more expensive, and identified inexpensive, healthful options. |
| snack combinations | 0.29133 |
| after-school snacks | 0.299153 |
| affordable snacks | 0.209842 |
| snack menu data | 0.222164 |
| healthful eating standards | 0.325664 |
| after-school snack prices | 0.241245 |
| YMCA after-school sites | 0.221152 |
| planning healthful snacks | 0.346542 |
| YMCA after-school programs | 0.32628 |
| grains containing trans | 0.213918 |
| price | 0.414809 |
| healthful snacks | 0.903089 |
| healthful options | 0.363766 |
| Care Food Program | 0.313763 |
| after-school snack | 0.317894 |
| healthful beverages | 0.269402 |
| CACFP guidelines | 0.231103 |
| daily snack price | 0.240592 |
| after-school snack period | 0.217536 |
| CACFP nutrition guidelines | 0.298941 |
|
| daily snack | 0.285373 |
| CACFP reimbursement rate | 0.272907 |
| expensive snacks | 0.210762 |
| healthful characteristics | 0.203212 |
| water | 0.232145 |
| low-priced healthful snacks | 0.350604 |
| grains | 0.299738 |
| after-school programs | 0.849186 |
| total snack price | 0.228965 |
| reimbursement rates | 0.248577 |
| total daily snack | 0.2121 |
| reimbursable after-school snack | 0.217323 |
| snack price | 0.336068 |
| expensive healthful foods | 0.299198 |
| healthful foods | 0.541144 |
| unflavored milk | 0.246375 |
| after-school snack quality | 0.235906 |
| average snack price | 0.232548 |
| Adult Care Food | 0.318259 |
| Complete after-school snack | 0.215092 |
|
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| 7198 |
Centers for Disease Control and Prevention |
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Use and Abuse of Methadone as a Painkiller - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Vicodin | 0.226116 |
| decade | 0.242385 |
| Prescription painkiller overdoses* | 0.627091 |
| central role | 0.308916 |
| daily starting dose | 0.360112 |
| health care provider | 0.361482 |
| drug addiction | 0.312877 |
| prescription painkiller | 0.814624 |
| methadone prescriptions | 0.679462 |
| special risks | 0.293861 |
| number | 0.217121 |
| Drug Administration warnings | 0.390304 |
| Prescription painkiller overdoses | 0.584873 |
| overdose deaths | 0.442521 |
| nonmedical purposes | 0.314236 |
| pain treatment | 0.3058 |
| Evaluate methadone | 0.625006 |
| long-lasting pain relief | 0.408451 |
| health care providers | 0.361664 |
| methadone | 0.931752 |
| opioid treatment programs | 0.390214 |
| long run | 0.297459 |
| OxyContin | 0.221081 |
| epidemic | 0.219871 |
| single prescription painkillers | 0.514147 |
|
| prescription drug monitoring | 0.457721 |
| narcotic pain relievers | 0.413507 |
| opioid dependence | 0.321345 |
| Opana | 0.216747 |
| federal laws | 0.293933 |
| low-cost generic drug | 0.39533 |
| safe prescribing guidelines | 0.368447 |
| substance abuse problems | 0.359828 |
| painkiller prescriptions | 0.434583 |
| times | 0.234295 |
| appropriate prescribed doses | 0.398584 |
| prescription drug overdose | 0.482566 |
| prescription painkiller deaths | 0.655644 |
| oxycodone | 0.223021 |
| dangerously slowed breathing | 0.374088 |
| preferred drug | 0.31187 |
| dangerous doses | 0.302869 |
| drug lists | 0.300098 |
| harmful amounts | 0.300685 |
| tranquilizers | 0.223444 |
| chronic problems | 0.293368 |
| people | 0.217539 |
| insurance companies | 0.295449 |
| hydrocodone | 0.224784 |
|
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| 7852 |
Centers for Disease Control and Prevention |
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Cerebral Palsy - Health Communication |
Cerebral Palsy - Gateway to Health Communication - CDC |
| braces | 0.421777 |
| mental retardation | 0.61238 |
| mother | 0.430948 |
| children | 0.460377 |
| exchange transfusions | 0.498081 |
| prenatal vitamins | 0.492936 |
| pounds | 0.440942 |
| routine follow-up | 0.490779 |
| social services | 0.501794 |
| dental problems | 0.49405 |
| full-term baby boy | 0.585042 |
| right things | 0.494427 |
| pregnancy | 0.452834 |
| severe jaundice | 0.514384 |
| preventable cause | 0.496578 |
| Infertility treatments | 0.495742 |
| prenatal care | 0.490545 |
| early childhood | 0.494514 |
| abnormality | 0.424597 |
| sensorineural hearing loss | 0.579644 |
| woman | 0.436024 |
| strange arch | 0.49227 |
| United States | 0.50248 |
| birthing classes | 0.494433 |
|
| vision problems | 0.494115 |
| babies | 0.533844 |
| special medical care | 0.588291 |
| exchange transfusion | 0.492262 |
| cerebral palsy need | 0.708847 |
| physician | 0.430907 |
| phototherapy | 0.422339 |
| neonatal intensive care | 0.564408 |
| hospital | 0.444636 |
| following morning | 0.485311 |
| costs | 0.435504 |
| vital signs | 0.490929 |
| diagnostic center | 0.491821 |
| families | 0.438506 |
| people | 0.458199 |
| blood | 0.428935 |
| kernicterus | 0.517465 |
| seriousness | 0.423985 |
| cerebral palsy | 0.992597 |
| baby | 0.622955 |
| physical therapy | 0.491639 |
| risk | 0.437332 |
| healthy person | 0.495514 |
| vitro fertilization treatments | 0.581915 |
|
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| 9765 |
Centers for Disease Control and Prevention |
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Notes from the Field: Outbreaks of Cyclosporiasis - UnitedStates, June-August 2013 |
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. |
| mmwrq@cdc.gov. | 0.70243 |
| R. Reid Harvey | 0.858624 |
| meal consumption data | 0.760656 |
| CDC | 0.717721 |
| romaine lettuce | 0.707892 |
| Fort Bend County | 0.90816 |
| United States | 0.760355 |
| red cabbage | 0.776456 |
| Coordinated Outbreak Response | 0.757161 |
| original MMWR paper | 0.754732 |
| U.S. Government Printing | 0.749745 |
| iceberg lettuce | 0.706713 |
| Human Services | 0.73894 |
| restaurant A–associated gastroenteritis | 0.800567 |
| National Notifiable Disease | 0.780416 |
| C. cayetanensis infections | 0.777755 |
| Drug Administration | 0.777572 |
| State Health Svcs | 0.788379 |
| gastrointestinal illness | 0.698459 |
| uncooked cilantro | 0.753397 |
| Human Svcs | 0.700727 |
| MMWR HTML versions | 0.748617 |
| U.S. Department | 0.739024 |
|
| Nebraska | 0.705317 |
| fresh cilantro | 0.891223 |
| electronic PDF version | 0.749072 |
| Zoonotic Infectious Diseases | 0.749045 |
| restaurant-associated cases | 0.778746 |
| statistically significant association | 0.764085 |
| Bend County Health | 0.766803 |
| cyclosporiasis cases | 0.701165 |
| parasite Cyclospora | 0.698104 |
| Global Health | 0.699391 |
| subject line | 0.697874 |
| unusually large number | 0.779665 |
| Mexican-style restaurant | 0.723926 |
| restaurant A. Lettuce | 0.799993 |
| public health officials | 0.941197 |
| fresh cooked cilantro | 0.831651 |
| local public health | 0.948241 |
| Texas Dept | 0.69963 |
| Iowa | 0.705348 |
| fresh produce ingredients | 0.769554 |
| original paper copy | 0.742526 |
| Texas | 0.708225 |
|
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| 10346 |
Centers for Disease Control and Prevention |
Html |
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Making Health Care Safer infographic |
Antibiotics save lives, but poor prescribing practices are putting patients at unnecessary risk for preventable allergic reactions, super-resistant infections, and deadly diarrhea. Errors in prescribing decisions also contribute to antibiotic resistance,
making these drugs less likely to work in the future. |
| doctor orders | 0.531634 |
| shorter time | 0.521096 |
| planned post-discharge treatment | 0.909476 |
| urinary tract | 0.649297 |
| previous doctor | 0.531152 |
| methicillin-susceptible staph | 0.545987 |
| kidneys | 0.43054 |
| clear notes | 0.520885 |
| best medical care | 0.63179 |
| clipboard | 0.502255 |
| microscope | 0.425143 |
| antibiotic stewardship policy | 0.635248 |
| duration | 0.510511 |
| better antibiotic | 0.530078 |
| George | 0.660305 |
| pneumonia | 0.43005 |
| MRSA | 0.468677 |
| infections | 0.425289 |
| vancomycin | 0.437302 |
| hospital | 0.763915 |
| hospital doctor | 0.703688 |
| white hospital bed | 0.648076 |
| test results | 0.525993 |
| drugs | 0.456295 |
|
| Rx | 0.462193 |
| clinically relevant cultures | 0.677769 |
| length | 0.458718 |
| alternate | 0.424879 |
| Text | 0.686389 |
| UTI guideline | 0.552803 |
| new doctor | 0.531579 |
| prescription bottle | 0.530632 |
| symptoms | 0.426647 |
| Reassess | 0.427481 |
| dose | 0.509485 |
| urine cultures | 0.681133 |
| different hospital doctor | 0.642036 |
| blue hospital gown | 0.659306 |
| non-infectious diagnosis | 0.550501 |
| time | 0.544151 |
| patient exam | 0.518007 |
| indication | 0.511812 |
| nurses information | 0.525684 |
| patient record | 0.66867 |
| antibiotics | 0.623213 |
| urinary tract infection | 0.64514 |
| account | 0.455648 |
|
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| 12081 |
Centers for Disease Control and Prevention |
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Salmonella | Clinical Features / Signs & Symptoms |
null |
| Schwarzengrund Infections Linked | 0.257686 |
| Braenderup Infections Linked | 0.270901 |
| Salmonella Montevideo Infections | 0.268056 |
| Salmonella Typhimurium Infections | 0.354385 |
| Human Salmonella Infections | 0.502155 |
| Case Count Maps | 0.877622 |
| Litchfield Infections Linked | 0.257532 |
| Enteritidis Infections Linked | 0.448965 |
| Salmonella Oranienburg Infections | 0.283374 |
| Salmonella Senftenberg Infections | 0.282164 |
| Human Salmonella Typhimurium | 0.259921 |
| Key Resources | 0.554984 |
| Saintpaul Infections Linked | 0.296891 |
| Outbreaks Enteritidis Infections | 0.223011 |
| Agona Infections Linked | 0.267184 |
| Heidelberg Infections Linked | 0.378104 |
| Infantis Infections Linked | 0.342247 |
| Salmonella Urbana Infections | 0.291099 |
| Live Poultry Advice | 0.226679 |
| symptoms | 0.224354 |
| Human Typhimurium Infections | 0.214895 |
| Salmonella Enteritidis Infections | 0.318804 |
| Bredeney Infections Linked | 0.265176 |
| Urbana Infections Linked | 0.28547 |
| Anatum Infections Linked | 0.284814 |
|
| Salmonella Virchow Infections | 0.281103 |
| Salmonella Anatum Infections | 0.290407 |
| Salmonella Mbandaka Infections | 0.272526 |
| Salmonella Heidelberg Infections | 0.335967 |
| Tennessee Infections Linked | 0.2575 |
| Imported Maradol Papayas | 0.23405 |
| Newport Infections Linked | 0.263184 |
| Salmonella Saintpaul Infections | 0.271522 |
| signs | 0.224366 |
| Salmonella Poona Infections | 0.279527 |
| Infections Associated | 0.236109 |
| Salmonella Abony Infections | 0.282913 |
| Infections Linked | 0.939821 |
| Johannesburg Infections Linked | 0.259428 |
| Salmonella Hadar Infections | 0.268361 |
| Maradol Papayas Salmonella | 0.244699 |
| Typhimurium Infections Linked | 0.377468 |
| Salmonella Infections Linked | 0.703331 |
| Papayas Salmonella Infections | 0.29525 |
| Panama Infections Linked | 0.258941 |
| Wandsworth Infections Linked | 0.25737 |
| Montevideo Infections Linked | 0.287461 |
| Live Poultry | 0.237849 |
| Salmonella Infantis Infections | 0.301776 |
|
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| 13093 |
Centers for Disease Control and Prevention |
Html |
en |
Progress in Identifying Infants with Hearing Loss - UnitedStates, 2006-2012 |
Tonya R. Williams, PhD1, Suhana Alam, MPH1, Marcus Gaffney, MPH1 (Author affiliations at end of text). |
| EI services | 0.61396 |
| data | 0.55699 |
| Northern Mariana Islands | 0.383195 |
| number | 0.384487 |
| EI programs | 0.404978 |
| final hearing screening | 0.46268 |
| aggregate jurisdiction-reported totals | 0.392989 |
| health care providers | 0.389109 |
| data definitions | 0.39999 |
| jurisdictions | 0.51873 |
| freely associated state | 0.397245 |
| infants | 0.733661 |
| HSFS data definitions | 0.399806 |
| follow-up testing | 0.392372 |
| EI | 0.62013 |
| diagnostic testing | 0.488407 |
| hearing screening | 0.582027 |
| documentation | 0.386628 |
| Congenital hearing loss | 0.47894 |
| National Vital Statistics | 0.392938 |
| EHDI services | 0.445216 |
| average percentage | 0.436799 |
| newborn hearing screening | 0.44543 |
| HSFS | 0.448817 |
| EHDI program coordinator | 0.408082 |
|
| hearing loss | 0.985132 |
| total infants | 0.446509 |
| follow-up services | 0.546312 |
| public health issue | 0.405707 |
| jurisdictional EHDI program | 0.490138 |
| EHDI surveillance data | 0.430762 |
| Vital Records program | 0.391773 |
| EHDI information systems | 0.400656 |
| follow-up diagnostic testing | 0.42969 |
| public health infrastructures | 0.382797 |
| EHDI Hearing Screening | 0.478936 |
| Tonya R. Williams | 0.495133 |
| diagnostic test results | 0.407926 |
| LFU/LTD | 0.393941 |
| territorial EHDI programs | 0.400878 |
| permanent hearing loss | 0.840674 |
| rates | 0.389672 |
| electronic health records | 0.38355 |
| progress jurisdictions | 0.381537 |
| progress | 0.418724 |
| EI enrollment | 0.426591 |
| HSFS data | 0.405468 |
| different screening protocols | 0.395704 |
| EHDI programs | 0.531865 |
|
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| 14234 |
Centers for Disease Control and Prevention |
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Top 10 Zika Response Planning Tips |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| mosquito-borne Zika virus | 0.444164 |
| Zika infection | 0.377854 |
| vector control programs | 0.363158 |
| priority areas/at-risk populations | 0.351966 |
| territorial health departments | 0.35696 |
| Health Alert Network | 0.392149 |
| pregnant women | 0.516946 |
| vector control services | 0.361624 |
| Zika transmission | 0.362246 |
| health care providers | 0.356902 |
| local blood centers | 0.388488 |
| Zika virus disease | 0.44482 |
| nationally notifiable condition | 0.350084 |
| Aedes albopictus | 0.414691 |
| related birth defects | 0.35493 |
| vector control coverage | 0.362301 |
| Zika virus transmission | 0.479466 |
| local vector surveillance | 0.369702 |
| American Health Organization | 0.362192 |
| Educate communities | 0.353445 |
| Aedes aegypti | 0.378929 |
| monitor pregnant women | 0.363372 |
| primary mosquito prevention | 0.354337 |
| territorial public health | 0.364767 |
| event local mosquitoes | 0.363574 |
|
| healthcare providers | 0.397344 |
| Zika outbreaks | 0.358577 |
| Aedes species mosquitoes | 0.375584 |
| United States | 0.355937 |
| Notifiable Disease Surveillance | 0.354151 |
| Zika virus infection | 0.705603 |
| Zika virus cases | 0.470668 |
| continental United States | 0.355858 |
| potential Zika virus | 0.430858 |
| transmitted Zika virus | 0.42101 |
| zika virus | 0.900397 |
| state health department | 0.358045 |
| congenital Zika virus | 0.414428 |
| confirmed Zika virus | 0.419725 |
| Zika virus infections | 0.417824 |
| birth defects | 0.38477 |
| Aedes albopictus mosquitoes | 0.387377 |
| vector control | 0.385403 |
| vector control/surveillance partners | 0.359906 |
| laboratory testing capabilities | 0.354655 |
| Blood Safety Guidance | 0.349743 |
| information regarding risks | 0.352109 |
| suspect Zika cases | 0.378938 |
| locally transmitted Zika | 0.366567 |
|
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| 16079 |
Centers for Disease Control and Prevention |
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Health, Secondhand Smoke Exposure, and Smoking BehaviorImpacts of No-Smoking Policies in Public Housing, Colorado,2014-2015 |
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. |
| smoke-free MUH policy | 0.590745 |
| smoking rates | 0.584208 |
| smoke-free policy | 0.598579 |
| grandfather period | 0.581296 |
| number | 0.583048 |
| no-smoking policies | 0.746478 |
| resident exposure | 0.615444 |
| secondhand smoke | 0.964229 |
| public housing | 0.846428 |
| residential units | 0.579881 |
| smoke-free housing policies | 0.640588 |
| indoor secondhand smoke | 0.632828 |
| decrease daily smoking | 0.615239 |
| Secondhand smoke migrates | 0.654431 |
| secondhand smoke indoors | 0.696588 |
| respondents | 0.605683 |
| smoke-free policy implementation | 0.584878 |
| health problems | 0.631748 |
| smoke-free home rules | 0.574336 |
| public housing residents | 0.593338 |
| smoking cessation | 0.658046 |
| M. Secondhand smoke | 0.630015 |
| Nicotine Tob Res | 0.591033 |
| smoking cessation help | 0.609737 |
|
| residents | 0.597303 |
| T2 surveys | 0.618333 |
| breathing problems | 0.609526 |
| obstructive pulmonary disease | 0.603286 |
| public housing authority | 0.673279 |
| national adult smoking | 0.606671 |
| smokers | 0.648212 |
| policy implementation | 0.655643 |
| low-income public housing | 0.626366 |
| smoke-free policies | 0.579998 |
| smoking behaviours | 0.57436 |
| multiunit housing | 0.65277 |
| Smoke-free multiunit housing | 0.584973 |
| T1 | 0.581316 |
| cigarette consumption | 0.579322 |
| no-smoking policy | 0.79893 |
| public health | 0.641737 |
| smoking habits | 0.581498 |
| smoke exposure outdoors | 0.644321 |
| smoking behaviors | 0.580272 |
| secondhand smoke exposure | 0.715297 |
| households | 0.597329 |
| secondhand smoke–associated health | 0.603538 |
| colorado public housing | 0.632502 |
|
CLICK HERE |