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Centers for Disease Control and Prevention |
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Seasonal Influenza-Associated Hospitalizations in the United States |
Annual flu-related hospitalizations - CDC |
| hospitals | 0.438107 |
| CDC | 0.558281 |
| average number | 0.511699 |
| American Medical Association | 0.778736 |
| average estimate | 0.51199 |
| large numbers | 0.498256 |
| Page | 0.530919 |
| Journal | 0.462454 |
| seasonal influenza-related complications | 0.622634 |
| 2015-2016 flu season | 0.609412 |
| geographically distributed areas | 0.594211 |
| statistical models | 0.503574 |
| previous studies | 0.500887 |
| Medical visits | 0.489896 |
| increased risk | 0.499321 |
| seasonal influenza virus | 0.703735 |
| surveillance data | 0.605797 |
| issue | 0.436645 |
| seasonal influenza | 0.749787 |
| five-year range | 0.609697 |
| hospital discharge records | 0.590878 |
| online report | 0.713946 |
| volume | 0.43663 |
| recent estimates | 0.518865 |
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| Infectious Diseases | 0.49699 |
| Influenza hospitalizations | 0.734388 |
| vaccination | 0.441049 |
| influenza | 0.789358 |
| Estimates Influenza Illnesses | 0.666292 |
| study | 0.510854 |
| United States | 0.928365 |
| Deaths Averted | 0.499874 |
| heart conditions illnesses | 0.598698 |
| flu-related hospitalizations | 0.771378 |
| Respiratory Seasons. | 0.496613 |
| statistical modeling | 0.50015 |
| Influenza Epidemics | 0.589495 |
| laboratory-confirmed influenza | 0.599147 |
| substantial health impact | 0.579812 |
| large administrative databases | 0.582054 |
| people | 0.532121 |
| influenza complications | 0.586402 |
| influenza seasons | 0.679082 |
| flu-related illness | 0.550538 |
| hospitalization rates | 0.506172 |
| seasonal influenza-associated infections | 0.603262 |
| influenza-associated hospitalizations | 0.781575 |
| information | 0.440751 |
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Centers for Disease Control and Prevention |
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Cyclohexene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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CDC Detectives Respond to Disease Outbreaks | CDC Features |
CDC’s Epidemic Intelligence Service officers are elite global health sleuths that respond 24/7 to emerging threats and disease outbreaks. They continue to respond to the multistate meningitis outbreak as they have to past outbreaks. |
| disease detectives | 0.806869 |
| Dr. Joshua Schier | 0.772151 |
| public locations | 0.70198 |
| CDC′s deployment team | 0.787556 |
| CDC′s EIS program | 0.825152 |
| risk communication specialist | 0.765692 |
| CDC′s response | 0.711183 |
| Health Studies Branch | 0.806318 |
| West Nile Virus | 0.764405 |
| EIS officers | 0.9292 |
| CDC EIS officers | 0.886809 |
| state health departments | 0.828325 |
| Social Security hospital | 0.771059 |
| Dr. Carol Rubin | 0.755141 |
| new public health | 0.839873 |
| simple cough syrup | 0.762513 |
| health professionals | 0.806146 |
| Epidemic Intelligence Service | 0.985519 |
| epidemiologic skills | 0.713421 |
| blood pressure medication | 0.764286 |
| key questions | 0.709776 |
| complex public health | 0.816203 |
| Latin American nation | 0.778706 |
| American Health Organization | 0.828767 |
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| Camilo Alleyne | 0.707982 |
| CDC′s Global Disease | 0.816942 |
| epidemiologic assistance | 0.701855 |
| global health sleuths | 0.873605 |
| health threats | 0.764731 |
| constant evidence gathering | 0.761618 |
| Intelligence Service officers | 0.825078 |
| blood samples | 0.70347 |
| multistate meningitis outbreak | 0.860533 |
| Gorgas Memorial Institute | 0.784682 |
| disease outbreaks | 0.746486 |
| unknown outbreak | 0.742738 |
| federal health agencies | 0.834604 |
| disease outbreak | 0.791338 |
| current outbreak | 0.751203 |
| disease threats | 0.719511 |
| CDC team | 0.735771 |
| medical epidemiologists | 0.709021 |
| Panama City | 0.723893 |
| epidemiological detective work | 0.764389 |
| CDC′s front lines | 0.724935 |
| CDC Global Health | 0.867501 |
| CDC′s Epidemic Intelligence | 0.81588 |
| high blood pressure | 0.92499 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Effect of the Missouri WISEWOMAN Program on Control of Hypertension, Hypercholesterolemia, and Elevated Blood Glucose Among Low-Income Women - CDC |
The Well-Integrated Screening and Evaluation for Women Across the Nation (WISEWOMAN) public health program is designed to reduce the risk of heart disease and stroke among low-income, underinsured or uninsured women through clinical screenings, risk factor assessment, and lifestyle interventions. We assessed the effect of the Missouri WISEWOMAN program on the control of high blood pressure, total cholesterol, and blood glucose levels. |
| total blood cholesterol | 0.313978 |
| total cholesterol control | 0.36186 |
| total cholesterol | 0.842545 |
| high school education | 0.404864 |
| systolic blood pressure | 0.309856 |
| borderline high total | 0.281635 |
| high blood cholesterol | 0.298627 |
| diastolic blood pressure | 0.309824 |
| high-density lipoprotein cholesterol | 0.278707 |
| initial visit | 0.597398 |
| blood pressure | 0.982996 |
| total cholesterol concentration | 0.285255 |
| elevated blood glucose | 0.399602 |
| weight | 0.305735 |
| Missouri WISEWOMAN program | 0.608397 |
| WISEWOMAN program participants | 0.322671 |
| blood pressure control | 0.31419 |
| mm Hg | 0.417344 |
| follow-up visit | 0.726838 |
| blood cholesterol | 0.324082 |
| abnormal total cholesterol | 0.279321 |
| stage ii hypertension | 0.319457 |
| WISEWOMAN participants | 0.340821 |
| abnormal blood pressure | 0.280393 |
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| women | 0.509824 |
| blood glucose | 0.708835 |
| control total cholesterol | 0.294082 |
| blood pressure levels | 0.288855 |
| blood glucose levels | 0.38566 |
| lifestyle intervention | 0.277673 |
| high blood glucose | 0.29671 |
| high total cholesterol | 0.47262 |
| heart disease | 0.330305 |
| weight status | 0.277309 |
| initial blood pressure | 0.282384 |
| public health | 0.324232 |
| public health program | 0.281163 |
| WISEWOMAN program services | 0.321554 |
| nondiabetic women | 0.300181 |
| control | 0.420962 |
| medication | 0.313804 |
| elevated blood pressure | 0.292359 |
| average systolic blood | 0.303282 |
| high blood pressure | 0.512419 |
| total cholesterol level | 0.285537 |
| initial screening visit | 0.283828 |
| LSI sessions | 0.369083 |
| blood total cholesterol | 0.311831 |
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Centers for Disease Control and Prevention |
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For the first time in decades, declines seen in the induction of labor for single births e | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Pediatrics | 0.257083 |
| new CDC report | 0.946064 |
| Maternal-Fetal Medicine | 0.516342 |
| American Academy | 0.479447 |
| data | 0.253868 |
| instances | 0.272654 |
| elective inductions | 0.54935 |
| elective deliveries | 0.541309 |
| percent | 0.527868 |
| states | 0.295605 |
| neonatal respiratory complications | 0.816255 |
| single births | 0.569175 |
| practice guidelines | 0.487864 |
| Gynecologists | 0.271124 |
| Obstetricians | 0.269842 |
| emphasis | 0.255249 |
| gestational age | 0.902752 |
| Healthy Babies | 0.493369 |
| professional organizations | 0.490995 |
| declines | 0.388471 |
| news | 0.259418 |
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| delivery | 0.303629 |
| Dimes campaign | 0.516641 |
| cases | 0.256324 |
| American Congress | 0.474711 |
| induction rates | 0.567828 |
| D.C. | 0.253055 |
| slight decline | 0.589566 |
| neonatal infections | 0.553363 |
| labor induction | 0.585211 |
| cesarean section | 0.536222 |
| downward momentum | 0.531345 |
| risks | 0.327792 |
| Columbia | 0.253484 |
| gestational age group | 0.879033 |
| risk | 0.301035 |
| decades | 0.270159 |
| non-medical reason | 0.542849 |
| newborn’s health | 0.516481 |
| Wait | 0.264435 |
| District | 0.253529 |
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Solve the Outbreak | CDC Mobile Activities |
Play Solve the Outbreak on the CDC Website Today! |
| web browser | 0.620945 |
| analyze data | 0.619353 |
| desktop computers | 0.62241 |
| Disease Detective | 0.945429 |
| exciting scenarios | 0.611159 |
| honors | 0.281101 |
| ones real-life CDC | 0.982626 |
| Outbreak | 0.503037 |
| world | 0.256906 |
| hand | 0.258332 |
| demonstrated expertise | 0.604847 |
| better your answers | 0.545479 |
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| lives | 0.259883 |
| Master Level | 0.552373 |
| lab results | 0.553747 |
| mission | 0.261002 |
| ranks | 0.286421 |
| interactive app | 0.638066 |
| outbreaks | 0.309707 |
| travel | 0.257009 |
| send | 0.272397 |
| Detectives help fight | 0.939293 |
| fun | 0.258805 |
| Disease Detective status | 0.912516 |
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Centers for Disease Control and Prevention |
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CDC Issues Revised Interim U.S. Guidance for Monitoring and Movement of Persons with Potential Ebola Virus Exposure |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Interim U.S. Guidance | 0.695951 |
| Ebola exposure risk | 0.678038 |
| movement restrictions | 0.487752 |
| case-by-case basis | 0.470311 |
| public health authorities | 0.799067 |
| widespread transmission | 0.469916 |
| Disease Control | 0.482625 |
| new information | 0.542795 |
| controlled movement | 0.469757 |
| best science | 0.475533 |
| homeland security professionals | 0.539163 |
| personal protective equipment | 0.522895 |
| U.S. healthcare worker | 0.527623 |
| Potential Ebola Virus | 0.673932 |
| incoming travelers | 0.480036 |
| additional restrictions | 0.479588 |
| direct active monitoring | 0.535706 |
| febrile illness | 0.472708 |
| Ebola treatment area | 0.635148 |
| clinical presentation | 0.481627 |
| enhanced screening | 0.468583 |
| Ebola patients | 0.673996 |
| daily health consultation | 0.549337 |
| appropriate public health | 0.677707 |
| additional confidence | 0.470704 |
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| United States | 0.607994 |
| post-arrival monitoring | 0.480529 |
| Sierra Leone | 0.547688 |
| interim guidance | 0.569751 |
| direct care | 0.478555 |
| health care workers | 0.828502 |
| U.S. hospital | 0.510846 |
| Additional precautions | 0.472736 |
| local health departments | 0.553103 |
| public health | 0.960079 |
| additional domestic Ebola | 0.628536 |
| public health tasks | 0.549624 |
| New York | 0.473413 |
| health care worker | 0.557018 |
| selfless work | 0.474617 |
| public health actions | 0.797122 |
| local health officials | 0.555747 |
| workplace exclusions | 0.47051 |
| Ebola Virus Exposure | 0.771743 |
| New Jersey | 0.473305 |
| Revised Interim U.S. | 0.576334 |
| right approach | 0.476589 |
| experienced public health | 0.574724 |
| West Africa | 0.597565 |
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Centers for Disease Control and Prevention |
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Cigarette smoking among U.S. high school students at an all-time low, but e-cigarette use a concern | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| electronic vapor products | 0.258505 |
| large urban school | 0.562055 |
| sedentary-related behaviors | 0.27901 |
| priority health risk | 0.245278 |
| Current cigarette smoking | 0.257482 |
| risk behaviors | 0.791192 |
| sexual behaviors | 0.26499 |
| school district surveys | 0.245398 |
| health risk behaviors | 0.692934 |
| student behaviors | 0.288117 |
| unintentional injuries | 0.252131 |
| urban school districts | 0.362421 |
| new risk behaviors | 0.430183 |
| National YRBS results | 0.24994 |
| substance abuse | 0.226794 |
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| drinking sugar-sweetened beverages | 0.215447 |
| newly emerging behaviors | 0.366626 |
| National YRBS | 0.287336 |
| survey findings | 0.219352 |
| National Youth Risk | 0.326822 |
| CDC Director Tom | 0.248337 |
| high school students | 0.978565 |
| U.S. high school | 0.242676 |
| sexually transmitted diseases | 0.210432 |
| youth risk behaviors | 0.413442 |
| Mental Health Services | 0.225263 |
| teen health-related behaviors | 0.389839 |
| unhealthy dietary behaviors | 0.366596 |
| School-Based Surveillance Branch | 0.217478 |
| Drug Abuse/National Institutes | 0.215913 |
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Centers for Disease Control and Prevention |
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Technical and Clinical Information |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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Centers for Disease Control and Prevention |
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Opening and Mixing Oseltamivir Capsules with Liquids if Child Cannot Swallow Capsules |
How to mix Tamiflu with sweetened liquids for children who cannot swallow capsules - CDC |
| sweetened liquid | 0.642758 |
| seasonal item | 0.526653 |
| pharmacy. | 0.266116 |
| taste | 0.266165 |
| liquid mixture | 0.587193 |
| medicine | 0.474505 |
| powder | 0.332575 |
| medicine mixture | 0.447769 |
| bowl | 0.260624 |
| sugar-free chocolate syrup | 0.756892 |
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| n’t matter | 0.449425 |
| way | 0.264136 |
| sweet liquids | 0.491507 |
| flavor | 0.269321 |
| dose | 0.267728 |
| oseltamivir capsule | 0.963383 |
| chocolate syrup | 0.813237 |
| oseltamivir capsules | 0.825296 |
| provider prescribes | 0.518144 |
| child’s provider | 0.459258 |
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