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Centers for Disease Control and Prevention |
Html |
en |
School Located Influenza Vaccination Info | Administering Vaccine |
School-located vaccination: Administering Vaccine, Adverse Events, Recording Information, Legal Issues, FERPA, HIPAA - CDC |
| MPEG | 0.378858 |
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| PDF | 0.261307 |
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| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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| 2996 |
Centers for Disease Control and Prevention |
Video |
en |
Surgeon General Video Contest: We Deserve a Chance to Live Out Our Dreams! |
Kids learn about life by watching their parents. What if kids grew up in a smoke-free world? Created by first runner-up, Taylor Blackwell. |
| Rap | 0.339269 |
| Taylor Blackwell | 0.496437 |
| CDC | 0.59864 |
| Candy-Flavored Tobacco | 0.410485 |
| perfect roll | 0.39007 |
| Catherine Tate | 0.385017 |
| Slate Magazine | 0.397194 |
| smoke-free world | 0.40976 |
| Disease Control | 0.910341 |
| Smokers Believe Secondhand | 0.48744 |
| Duplin TRU Team | 0.477636 |
| runner | 0.621024 |
| Impact | 0.338056 |
| industria | 0.321775 |
| age category | 0.399524 |
| comment policy | 0.399338 |
| Ric Blackwell | 0.40026 |
| sec ad | 0.396285 |
| Duration | 0.913243 |
| Florida | 0.318601 |
| YouTube | 0.319913 |
| simple guide | 0.396138 |
| Tobacco | 0.460569 |
| Buerger | 0.319325 |
|
| Quitline NZ | 0.398329 |
| http://streaming.cdc.gov/vod.php?id=f.. | 0.319265 |
| Blackwell Acting Reel | 0.467423 |
| Comic Relief | 0.384859 |
| parents | 0.319381 |
| Centers | 0.461506 |
| Adderall XR | 0.400155 |
| David Tennant | 0.388663 |
| Grand Prize | 0.69862 |
| life | 0.337982 |
| Liza Weil smoking2 | 0.465515 |
| Prevention | 0.461333 |
| Crayons | 0.320802 |
| Yo tengo el | 0.502504 |
| Video Contest | 0.400892 |
| views | 0.730871 |
| kids | 0.340645 |
| Cigarettes Smoke | 0.39407 |
| CDC Tips | 0.451514 |
| accordance | 0.318605 |
| Comments | 0.318404 |
| Ages | 0.556102 |
| poder | 0.320122 |
| Surgeon General | 0.400355 |
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| 4690 |
Centers for Disease Control and Prevention |
Html |
en |
Commute times, food retail gaps, and body mass index in North Carolina counties |
null |
| North Carolina | 0.448328 |
| commute time | 0.390185 |
| rural residents | 0.380633 |
| North Carolina Department | 0.21281 |
| special food services | 0.206743 |
| county-level independent variables | 0.201504 |
| county-level food sales | 0.226185 |
| individual-level bmi | 0.282425 |
| county-level variables | 0.21118 |
| mean county-level commute | 0.262666 |
| county-level BMI | 0.272693 |
| county-level mean BMI | 0.318146 |
| longer commute times | 0.221117 |
| BMI | 0.325295 |
| average commute time | 0.208621 |
|
| drinking places | 0.245558 |
| commute times | 0.635556 |
| NAICS code | 0.211841 |
| specialty food stores | 0.222786 |
| county-level sales | 0.221783 |
| food retail gap | 0.925332 |
| county-level retail sales | 0.206841 |
| county-level commute time | 0.290969 |
| North Carolina counties | 0.274497 |
| county-level commute times | 0.355083 |
| food retail gaps | 0.320831 |
| county-level diversity index | 0.20896 |
| county-level demand | 0.231366 |
| capita | 0.273709 |
|
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| 7360 |
Centers for Disease Control and Prevention |
Html |
en |
Sickle Cell Disease: AJ Green's Story | CDC Features |
September is Sickle Cell Awareness Month and Newborn Screening Awareness Month. Read about the importance of screening for sickle cell and AJ Green’s experience with the disease. |
| red blood cells | 0.417987 |
| blood cell disorders | 0.368183 |
| Healthy red blood | 0.35449 |
| Sickle Cell Awareness | 0.448243 |
| sickle cell trait | 0.435794 |
| sickle cells | 0.409159 |
| Cell Disease Association | 0.364515 |
| sickle cell disease | 0.918847 |
| antibiotic medicine | 0.345759 |
| real lack | 0.325146 |
| harmful infections | 0.363576 |
| sickle cell crisis | 0.469074 |
| blood flow | 0.331307 |
| quality medical care | 0.339868 |
| blood diseases | 0.325476 |
| small blood vessels | 0.387269 |
| AJ | 0.337281 |
| acute chest syndrome | 0.345761 |
| newborn screening | 0.542388 |
| painful sickle cell | 0.432507 |
| Elton John | 0.323092 |
| problems | 0.323425 |
| daily dose | 0.345667 |
| appropriate care | 0.323378 |
|
| constant shortage | 0.32697 |
| Pam Green | 0.322989 |
| C-shaped farm tool | 0.350166 |
| bigger goals | 0.323747 |
| blood drive campaign | 0.346029 |
| complex disease | 0.33225 |
| Regular health checkups | 0.340733 |
| actual disease | 0.336819 |
| regular childhood vaccines | 0.337791 |
| hospital | 0.326625 |
| newborn screening test | 0.363774 |
| minority blood donors | 0.344686 |
| AJ Green | 0.334082 |
| Canadian Tenors | 0.323769 |
| people | 0.324135 |
| primary care doctor | 0.340411 |
| eat healthy food | 0.340781 |
| physical activity | 0.323224 |
| certain medical conditions | 0.340393 |
| Remington College | 0.323206 |
| PKU shot | 0.348267 |
| Newborn Screening Awareness | 0.37094 |
| cell disease advocate | 0.364831 |
| high profile disease | 0.353161 |
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| 9062 |
Centers for Disease Control and Prevention |
Html |
en |
First H3N2v Outbreak of 2013 Reported; CDC Continues to Urge High Risk People to Avoid Swine at Fairs |
First H3N2v Outbreak of 2013 Reported; CDC Continues to Urge High Risk People to Avoid Swine at Fairs. |
| CDC | 0.503274 |
| serology studies | 0.466299 |
| influenza antiviral drugs | 0.632508 |
| body aches | 0.484482 |
| large numbers | 0.46873 |
| H3N2v | 0.980159 |
| swine influenza infections | 0.668276 |
| human-to-human spread | 0.49509 |
| pigs | 0.80982 |
| H3N2v virus | 0.706505 |
| fair attendance | 0.475942 |
| high risk condition | 0.580534 |
| seasonal influenza | 0.51741 |
| multi-state outbreaks | 0.502361 |
| sporadic limited spread | 0.643922 |
| Indiana samples | 0.478243 |
| seasonal flu | 0.696072 |
| healthy people | 0.486977 |
| non-human influenza virus | 0.836653 |
| seasonal flu viruses | 0.63779 |
| state public health | 0.574012 |
| high risk | 0.772257 |
| well-appearing pig | 0.467632 |
| swine barns | 0.493111 |
| United States | 0.47511 |
|
| H3N2 infection | 0.499748 |
| H3N2v cases | 0.510331 |
| variant virus infection | 0.783236 |
| virus | 0.860534 |
| 2013-2014 seasonal flu | 0.623281 |
| flu complications | 0.498021 |
| summer | 0.549798 |
| full-blown pandemic | 0.468078 |
| heart disease | 0.468442 |
| H3N2v infection | 0.505592 |
| sore throat | 0.47785 |
| close contact | 0.467589 |
| illness | 0.489351 |
| agricultural fairs | 0.643121 |
| underlying health conditions | 0.596984 |
| related swine exposure | 0.667152 |
| flu-infected pigs | 0.551287 |
| H3N2v viruses | 0.52822 |
| people | 0.818902 |
| human infections | 0.578021 |
| influenza viruses | 0.786219 |
| currently recommended drugs | 0.574781 |
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| different places | 0.474 |
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Centers for Disease Control and Prevention |
Html |
en |
Roadmap for State Program Planning - Evaluate the Program'State Resources'DHDSP'CDC |
null |
| Chronic Disease Practice | 0.629389 |
| public health issues | 0.615798 |
| state capacity | 0.542937 |
| American Evaluation Association | 0.680124 |
| evaluation | 0.937236 |
| evaluation plan | 0.854878 |
| professional association | 0.58986 |
| National HDSP Program | 0.664601 |
| appropriate data collection | 0.645159 |
| surveillance data | 0.528051 |
| Basic Implementation Programs | 0.597896 |
| evaluation design | 0.590154 |
| CDC Evaluation Framework | 0.697046 |
| future activities | 0.557368 |
| evaluation planning— | 0.58499 |
| data integrity | 0.542848 |
| work plan objectives | 0.613952 |
| Chronic Disease Directors | 0.629619 |
| evaluate program | 0.679532 |
| capacity building activities | 0.823785 |
| chronic disease | 0.810068 |
| evaluation expectations | 0.575182 |
| HDSP program evaluation | 0.783994 |
| HDSP Evaluation Plan | 0.789963 |
| evaluation areas | 0.569767 |
|
| Gather credible evidence | 0.604783 |
| annual Work Plan | 0.613876 |
| Basic Implementation | 0.61695 |
| qualitative data | 0.544146 |
| program area | 0.560639 |
| state level data | 0.629943 |
| evaluation guides | 0.568121 |
| systematic collection | 0.530056 |
| Systematically document HDS | 0.607113 |
| state HDSP program | 0.864162 |
| Evaluate progress | 0.540661 |
| evaluation results | 0.580846 |
| state partnership | 0.608713 |
| Evaluate program achievements | 0.671017 |
| outcome evaluation | 0.579777 |
| Prevention Research Centers | 0.608819 |
| evaluation should— | 0.574056 |
| state HDSP programs | 0.646492 |
| program logic model | 0.631707 |
| health department program | 0.647179 |
| sample evaluation questions | 0.656359 |
| interventions | 0.530566 |
| Document changes | 0.610653 |
| Report program results | 0.678646 |
|
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| 13370 |
Centers for Disease Control and Prevention |
Html |
en |
Information for Health Care Workers | Rat-bite Fever (RBF) |CDC |
null |
| Spirillum minus | 0.592867 |
| diagnosis assistance | 0.349598 |
| gram-negative microaerophilic bacillus | 0.590191 |
| pleomorphic gram-negative bacilli | 0.529052 |
| North America | 0.383047 |
| rodent exposure | 0.380331 |
| rat-bite fever | 0.524699 |
| Recent case reports | 0.472357 |
| severe nausea/vomiting | 0.36162 |
| RBF | 0.992699 |
| characteristic spirochetes | 0.364356 |
| Streptobacillus moniliformis | 0.566834 |
| body fluids | 0.348574 |
| infected rodent | 0.408287 |
| incidence rates | 0.357316 |
| preliminary diagnosis | 0.352634 |
| state public health | 0.46335 |
| maculopapular rash | 0.402834 |
| distinct rash | 0.394079 |
| Person-to-person transmission | 0.374664 |
| nationally notifiable disease | 0.47721 |
| normal respiratory flora | 0.519663 |
| United States | 0.345649 |
| natural reservoir | 0.364429 |
| appropriate specimens | 0.464556 |
|
| Haverhill fever | 0.754032 |
| rodent species | 0.397142 |
| S. moniliformis | 0.937049 |
| Accurate data | 0.346047 |
| incubation period | 0.378627 |
| differential stains | 0.34583 |
| motile spirochete | 0.413623 |
| S. minus | 0.420297 |
| incubation conditions | 0.362119 |
| fever onset | 0.478596 |
| red plaques | 0.353843 |
| potential risk | 0.34816 |
| untreated RBF | 0.69899 |
| common symptoms | 0.361821 |
| mortality rate | 0.348635 |
| Following partial healing | 0.476928 |
| positive culture | 0.34776 |
| disease incidence | 0.356641 |
| rat bite | 0.361391 |
| synovial fluid | 0.351658 |
| Initial symptoms | 0.366155 |
| infected animal | 0.365841 |
| specific media | 0.349932 |
| darkfield microscopy | 0.343958 |
|
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| 15740 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Fentanyl-Related Overdose Deaths - Florida andOhio, 2013-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| butyryl fentanyl | 0.457236 |
| fentanyl submissions | 0.576695 |
| fentanyl submissions data | 0.465404 |
| morphine-positive fentanyl deaths | 0.501671 |
| opioid overdose decedents | 0.364812 |
| law enforcement submissions | 0.359746 |
| medical examiner | 0.399909 |
| fentanyl analogs | 0.654363 |
| fentanyl death surveillance | 0.469295 |
| drug | 0.359304 |
| fentanyl-related overdose deaths | 0.419138 |
| overdose deaths | 0.436637 |
| fentanyl death rates | 0.502165 |
| distinguishing deaths | 0.351195 |
| IMF | 0.374347 |
| overdose risk | 0.345598 |
| National Forensic Laboratory | 0.35222 |
| Florida illicit market | 0.344856 |
| Florida | 0.425255 |
| highest fentanyl death | 0.4877 |
| persons | 0.355702 |
| fentanyl’s potency | 0.471206 |
| fentanyl decedents | 0.526304 |
| prescription fentanyl | 0.485881 |
|
| fentanyl overdoses | 0.483865 |
| illicitly manufactured fentanyl | 0.497857 |
| fentanyl death | 0.533264 |
| heroin overdose decedents | 0.37259 |
| mental health disorder | 0.384888 |
| acetyl fentanyl | 0.480103 |
| fentanyl analog submissions | 0.460061 |
| emergency medical services | 0.355419 |
| increases | 0.354234 |
| high-burden counties | 0.375388 |
| Forensic Laboratory Information | 0.352166 |
| fentanyl deaths | 0.975106 |
| overdose scene characteristics | 0.346 |
| fentanyl mortality | 0.503053 |
| U.S. fentanyl deaths | 0.503014 |
| Ohio Department | 0.349221 |
| law enforcement | 0.412813 |
| public health | 0.382613 |
| fentanyl overdose decedents | 0.535727 |
| Drug Enforcement Administration | 0.355863 |
| risk profiles | 0.345206 |
| sharp increases | 0.349418 |
| drug products | 0.348054 |
| Ohio | 0.422203 |
|
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| 16169 |
Centers for Disease Control and Prevention |
Html |
en |
HPV Vaccine Information For Young Women |
HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators. |
| HPV types— | 0.203411 |
| HPV vaccination | 0.344921 |
| HPV test | 0.237064 |
| HPV vaccine | 0.80765 |
| HPV types | 0.486735 |
| cervical cancer | 0.691177 |
| targeted HPV types | 0.242999 |
|
| HPV | 0.931484 |
| genital warts | 0.28749 |
| Genital HPV | 0.246161 |
| HPV infection | 0.23045 |
| HPV vaccines | 0.211736 |
| HPV infections | 0.202104 |
|
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| 16460 |
Centers for Disease Control and Prevention |
Html |
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Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| e-cigarette advertising | 0.386574 |
| complex survey design | 0.383411 |
| conventional cigarettes | 0.381949 |
| multiple device types | 0.379791 |
| e-cigarette brands | 0.406684 |
| comprehensive tobacco control | 0.455588 |
| product types | 0.46234 |
| nicotine exposure | 0.426682 |
| U.S. Surgeon General | 0.386633 |
| commonly used e-cigarette | 0.45294 |
| response rate | 0.3836 |
| tobacco product dependence | 0.394422 |
| tobacco products | 0.456261 |
| public health practice | 0.392917 |
| commonly reported brand | 0.497195 |
| prevention strategies | 0.378352 |
| e-cigarette product types | 0.425031 |
| Connecticut high school | 0.391616 |
| U.S. middle | 0.520845 |
| United States | 0.438236 |
| Drug Administration | 0.389259 |
| youths | 0.611918 |
| products | 0.458892 |
| Hispanic students | 0.398656 |
|
| nicotine delivery | 0.396715 |
| nationally representative sample | 0.38035 |
| U.S. students | 0.378488 |
| tobacco product | 0.633647 |
| brands | 0.43107 |
| middle school students | 0.427365 |
| substances | 0.384343 |
| rechargeable/refillable e-cigarettes | 0.53826 |
| e-cigarette users | 0.440235 |
| commonly reported brands | 0.421561 |
| certain e-cigarette marketers | 0.400269 |
| high school students | 0.982371 |
| e-cigarettes | 0.820511 |
| National Youth Tobacco | 0.402011 |
| U.S. youths | 0.533109 |
| Nicotine content | 0.391399 |
| relative standard error | 0.380805 |
| commonly used tobacco | 0.573958 |
| high school students.* | 0.401242 |
| Table). | 0.39851 |
| NYTS response rate | 0.380165 |
| disposable e-cigarettes | 0.44469 |
| heavily advertised e-cigarette | 0.402367 |
| non-Hispanic black students | 0.48868 |
|
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