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Preventing Traumatic Brain Injury | CDC Features |
This March, in recognition of Brain Injury Awareness Month, CDC is working to raise awareness about traumatic brain injury (TBI). Improved prevention, recognition, and response can help address this important public health problem. |
| CDC Foundation | 0.479568 |
| speech pathologist | 0.473833 |
| motor vehicle-related TBIs | 0.558125 |
| Brain Injury Awareness | 0.558061 |
| youngest children | 0.476047 |
| young children | 0.473065 |
| TBI | 0.946214 |
| real world advice | 0.525419 |
| service members | 0.468631 |
| local resources | 0.469305 |
| Heads Up App | 0.484884 |
| health care professionals | 0.631945 |
| greater risk | 0.473196 |
| mild TBI | 0.625291 |
| Finding Support | 0.468378 |
| traumatic brain injury | 0.661783 |
| severe cases | 0.472781 |
| Schools Classroom Tips | 0.519536 |
| highest risk | 0.471368 |
| young adults | 0.473983 |
| prevention strategies | 0.53848 |
| higher rates | 0.472277 |
| TBI need | 0.629349 |
| TBI survivors | 0.661651 |
| aid recovery | 0.468597 |
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| important public health | 0.665327 |
| various health care | 0.535781 |
| United States | 0.478159 |
| car crash | 0.480859 |
| TBI data | 0.611709 |
| daily activities | 0.470933 |
| sports coaches | 0.46725 |
| normal functions | 0.475362 |
| TBI symptoms | 0.647609 |
| fall-related TBIs | 0.496578 |
| Immediate Medical Attention | 0.531082 |
| health care | 0.795327 |
| everyday life | 0.470052 |
| easy access | 0.467685 |
| support groups | 0.518932 |
| people | 0.510118 |
| highest rates | 0.471067 |
| normal activities | 0.478304 |
| new symptoms | 0.47845 |
| public health problem | 0.669246 |
| TBI recover | 0.642686 |
| appropriate helmet | 0.468223 |
| older adults | 0.542569 |
| trained specialists | 0.470327 |
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Announcements: Prophylaxis for the Prevention of HIVInfection - 2014 Available Online |
The documents Preexposure Prophylaxis for the Prevention of HIV Infection — 2014: a PHS Clinical Practice Guideline* and a Clinical Providers' Supplement† are now available online. |
| indications | 0.532392 |
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| medication adherence | 0.683926 |
| U.S. Department | 0.816989 |
| MMWR HTML versions | 0.806316 |
| electronic PDF version | 0.788139 |
| clinicians | 0.576999 |
| HIV risk behaviors | 0.865658 |
| drug use behaviors | 0.706663 |
| Contact GPO | 0.704601 |
| patients | 0.547178 |
| additional tools | 0.671551 |
| commercial sources | 0.669348 |
| current prices | 0.658856 |
| original paper copy | 0.78552 |
| supplement | 0.571633 |
| Guideline* | 0.53038 |
| guideline | 0.595451 |
| human immunodeficiency virus | 0.86163 |
| evidence-based information | 0.677962 |
| United States | 0.688791 |
| U.S. Government Printing | 0.785909 |
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| Superintendent | 0.532103 |
| federal resource | 0.676076 |
| HIV Infection | 0.734318 |
| MMWR readers | 0.677463 |
| character translation | 0.657672 |
| Prevention | 0.53048 |
| safe prescribing practices | 0.821756 |
| MMWR paper copy | 0.79894 |
| clinical safety | 0.679735 |
| antiretroviral preexposure prophylaxis | 0.89322 |
| format errors | 0.665206 |
| documents Preexposure Prophylaxis | 0.917829 |
| substantial risk | 0.691143 |
| Health | 0.551456 |
| Supplement†| 0.530325 |
| typeset documents | 0.676652 |
| PHS Clinical Practice | 0.877685 |
| trade names | 0.669506 |
| official text | 0.654952 |
| medical care | 0.68862 |
| non-CDC sites | 0.667655 |
| online | 0.530289 |
| electronic conversions | 0.658065 |
| PrEP medications | 0.745185 |
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Ethylene oxide - NIOSH Pocket Guide to Chemical Hazards |
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Silicon tetrahydride - 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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MMWR News Summary: August 25, 2011 |
MMWR News Summary: August 4, 2011 |
| new CDC report | 0.791146 |
| local restrictions | 0.777774 |
| youth access blocks | 0.724885 |
| data | 0.452681 |
| nation’s girls | 0.60363 |
| 3-dose HPV vaccine | 0.896307 |
| Parents | 0.461706 |
| youth tobacco | 0.691937 |
| underage tobacco sales | 0.836546 |
| number | 0.448923 |
| Disease Control | 0.576255 |
| community efforts | 0.56677 |
| local governments | 0.575639 |
| sharp contrast | 0.570611 |
| immunization partners | 0.806018 |
| HPV disease | 0.70111 |
| strong community mobilization | 0.708128 |
| minority teens | 0.574967 |
| U.S. girls | 0.583635 |
| national teen vaccination | 0.767066 |
| CDC Division | 0.980899 |
| tobacco products | 0.829054 |
| tobacco consumption | 0.690399 |
| HUMAN SERVICES | 0.565856 |
| preemptive legislation | 0.579771 |
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| strong recommendations | 0.575243 |
| healthcare providers | 0.765537 |
| State legislation | 0.573843 |
| HPV vaccination | 0.731533 |
| youth access | 0.891765 |
| tobacco advertising | 0.932184 |
| Electronic Media | 0.917788 |
| states | 0.468373 |
| higher standard | 0.567367 |
| U.S. DEPARTMENT | 0.564541 |
| News | 0.488896 |
| Evidence | 0.451971 |
| National Immunization Survey-Teen | 0.769881 |
| summary | 0.452173 |
| meningococcal meningitis—continue | 0.59155 |
| Coverage rates | 0.580668 |
| daughter’s vaccination | 0.620362 |
| local smoking | 0.573386 |
| secondhand smoke exposure | 0.712806 |
| comprehensive restrictions | 0.626735 |
| health protection. | 0.570845 |
| cervical cancer. | 0.586559 |
| HPV series | 0.697188 |
| past decade | 0.570067 |
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Pregnancy and Vaccination | Vaccines for Pregnant Women | CDC |
If you are pregnant or planning a pregnancy, the vaccines you need are determined by factors such as your age, lifestyle, medical conditions you may have, and previous vaccinations. |
| previous healthcare providers | 0.431335 |
| meningococcal vaccine | 0.429318 |
| CDC | 0.501816 |
| vaccines | 0.837684 |
| Tdap vaccine | 0.439855 |
| United States | 0.384794 |
| whooping cough vaccine | 0.632621 |
| flu vaccine | 0.494915 |
| flu activity | 0.423268 |
| pre-pregnancy blood test | 0.436078 |
| flu-related complications | 0.383012 |
| potentially harmful diseases | 0.43265 |
| Pregnant Women | 0.417953 |
| disease immunity | 0.386248 |
| Adult Vaccine Quiz | 0.614121 |
| chronic liver disease | 0.437721 |
| Parents Home page | 0.430921 |
| premature labor | 0.38117 |
| Flu seasons | 0.419695 |
| flu season—it | 0.422962 |
| hepatitis A vaccine | 0.4367 |
| lung functions | 0.380345 |
| school immunization records | 0.430997 |
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| pregnancy | 0.587557 |
| blood test | 0.452293 |
| Visit CDC | 0.401175 |
| birth | 0.397596 |
| Additional Vaccines | 0.490742 |
| recommended vaccines | 0.483647 |
| protective antibodies | 0.379474 |
| early protection | 0.467869 |
| certain vaccines | 0.477566 |
| flu | 0.535577 |
| n’t cough | 0.449903 |
| vaccine information | 0.420432 |
| doctor | 0.385281 |
| whooping cough | 0.960105 |
| meningococcal disease | 0.380058 |
| vaccine | 0.640866 |
| flu shot | 0.496734 |
| vaccination records | 0.421124 |
| Whooping Cough website | 0.575655 |
| baby | 0.653758 |
| flu season | 0.425815 |
| baby needs | 0.387069 |
| MMR vaccine | 0.479603 |
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Preventing Chronic Disease | Prevalence, Knowledge, andPractices of Hookah Smoking Among University Students, Florida,2012 - CDC |
Although hookah smoking is becoming a source of tobacco use among college students in the United States, little is known of the students’ knowledge, attitudes, and practices regarding hookah use. This cross-sectional study was aimed at determining the prevalence of hookah use and describing social and behavioral factors associated with hookah smoking among university students in a large urban university in Florida. |
| hookah smoking initiation | 0.693499 |
| current hookah | 0.738476 |
| new hookah | 0.668842 |
| cigar smoking | 0.467717 |
| United States | 0.496726 |
| Tobacco control activities | 0.467412 |
| large urban university | 0.496409 |
| smoking tobacco | 0.487343 |
| 1-hour hookah smoking | 0.730481 |
| students | 0.538753 |
| current hookah smokers | 0.65572 |
| hookah ownership | 0.721239 |
| cigarette smoking | 0.737357 |
| hookah users | 0.717005 |
| prevalence | 0.507388 |
| hookah bar | 0.668902 |
| college students | 0.521996 |
| future studies | 0.485144 |
| hookah device ownership | 0.633878 |
| fewer smoking hookah | 0.705132 |
| new hookah establishments | 0.630592 |
| logistic regression modeling | 0.501987 |
| hookah smoking | 0.976922 |
|
| Current hookah usage | 0.654245 |
| current cigarette smoking | 0.520403 |
| university settings | 0.481387 |
| hookah lounges | 0.620643 |
| Hookah tobacco smoking | 0.739751 |
| private hookah | 0.672918 |
| health behavior change | 0.466955 |
| hookah usage | 0.661879 |
| high school students | 0.50026 |
| hookah products | 0.625371 |
| smoking methods | 0.466482 |
| hookah smoking cafés | 0.684834 |
| personal hookah | 0.645709 |
| concurrent cigarette smoking | 0.500272 |
| new hookah cafes | 0.666487 |
| Current hookah users | 0.655169 |
| current hookah smoking | 0.729242 |
| hookah safety | 0.638973 |
| alternative smoking mechanisms | 0.481049 |
| water pipe | 0.479412 |
| hookah bars | 0.637613 |
| hookah lounge | 0.618421 |
| hookah harmfulness | 0.639981 |
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Announcement: National Teen Driver Safety Week - October18-24, 2015 |
During 2004–2013, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 55% from 5,645 to 2,524 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased 56%, from 34.7 to 15. |
| endorsement | 0.365558 |
| adult supervision | 0.446614 |
| Human Services | 0.552146 |
| greater participation | 0.449121 |
| MMWR HTML versions | 0.562488 |
| U.S. Department | 0.548186 |
| nighttime | 0.330621 |
| number | 0.327715 |
| electronic PDF version | 0.550693 |
| youngest drivers | 0.462834 |
| mandatory holding period | 0.574988 |
| Additional information | 0.558562 |
| Contact GPO | 0.469139 |
| crash risk | 0.457871 |
| commercial sources | 0.44535 |
| young passengers | 0.447724 |
| safe teen driving | 0.581488 |
| current prices | 0.439808 |
| persons | 0.327255 |
| permits | 0.347687 |
| original paper copy | 0.544495 |
| teen crash fatalities | 0.611086 |
| encouraging trends | 0.447998 |
| original MMWR paper | 0.557186 |
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| U.S. Government Printing | 0.550282 |
| learning-to-drive process | 0.454249 |
| teens | 0.385987 |
| longer practice periods | 0.582069 |
| MMWR readers | 0.450689 |
| driver licensing | 0.450551 |
| character translation | 0.437898 |
| National Teen Driver | 0.580401 |
| high risk conditions | 0.584488 |
| format errors | 0.438559 |
| declines | 0.334143 |
| fatal crashes | 0.679142 |
| Health | 0.341649 |
| passenger vehicle drivers | 0.613858 |
| typeset documents | 0.445355 |
| trade names | 0.445454 |
| provisional license holders | 0.792363 |
| official text | 0.436141 |
| minimum age | 0.56307 |
| non-CDC sites | 0.44349 |
| comprehensive GDL systems | 0.881165 |
| learners | 0.35103 |
| motor vehicle crashes | 0.93962 |
| electronic conversions | 0.435215 |
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Facts about Microcephaly |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| CDC | 0.393728 |
| smaller brains | 0.38308 |
| Zika virus | 0.412961 |
| Teratology Information Specialists | 0.409551 |
| Disease Control | 0.373235 |
| major birth defects | 0.522668 |
| newborn baby | 0.423743 |
| microcephaly ranges | 0.705036 |
| health care providers | 0.408141 |
| birth head circumference | 0.483341 |
| National Center | 0.373202 |
| circumference growth charts | 0.553641 |
| copyright restrictions | 0.369184 |
| pregnancy | 0.496119 |
| birth defects diagnosis | 0.440465 |
| severe their microcephaly | 0.745289 |
| baby’s brain | 0.481802 |
| condition | 0.368785 |
| live births | 0.415691 |
| ultrasound test | 0.411882 |
| public domain | 0.372017 |
| State birth | 0.378735 |
| head circumference | 0.814014 |
| healthcare provider look | 0.40984 |
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| problems | 0.375683 |
| head circumference measurement | 0.478073 |
| common condition | 0.368613 |
| magnetic resonance imaging | 0.406636 |
| severe microcephaly | 0.949163 |
| United States | 0.418876 |
| babies | 0.584356 |
| Zika virus infection | 0.407968 |
| regular check-ups | 0.371474 |
| Head circumference growth | 0.560687 |
| head circumference measurements | 0.470131 |
| small head size | 0.418566 |
| following problems | 0.368837 |
| visit CDC | 0.370735 |
| CDC’s growth | 0.374557 |
| CDC scientists | 0.375278 |
| private usage | 0.369867 |
| smaller head size | 0.448988 |
| birth defects | 0.619155 |
| severe fetal brain | 0.447557 |
| healthy baby | 0.377695 |
| measurement value | 0.404576 |
| healthcare provider | 0.528396 |
| baby | 0.57079 |
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What States Need to Know about PDMPs |
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| health authorities | 0.417892 |
| recent prescriptions | 0.399977 |
| long interval | 0.391613 |
| certain controlled substances | 0.565158 |
| changes | 0.276484 |
| clinical practice | 0.422871 |
| utility | 0.308782 |
| range | 0.237223 |
| promise | 0.281003 |
| EHR | 0.246114 |
| states | 0.309265 |
| patient behaviors | 0.403611 |
| PDMP access | 0.400973 |
| polices | 0.246018 |
| ways | 0.237205 |
| nurse practitioners | 0.37069 |
| passive databases | 0.386989 |
| state health departments | 0.545513 |
| inappropriate prescribing trends | 0.53899 |
| timely information | 0.404456 |
| health care providers | 0.804614 |
| state PDMPs | 0.431961 |
| significant potential | 0.603309 |
| state PDMP | 0.698296 |
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| significant implications | 0.387493 |
| Timely data | 0.388172 |
| patient safety | 0.380466 |
| Promising practices | 0.410101 |
| multiple providers | 0.429215 |
| epidemic | 0.283739 |
| patients | 0.43507 |
| promising state-level interventions | 0.657765 |
| public health tool | 0.541881 |
| electronic database | 0.400217 |
| PDMP users | 0.402372 |
| prescription drug monitoring | 0.993952 |
| drug monitoring programs | 0.599928 |
| prescription history data | 0.570766 |
| highest risk | 0.370729 |
| certain circumstances | 0.393238 |
| substance abuse treatment | 0.600231 |
| opioid prescribing | 0.459769 |
| physician assistants | 0.37884 |
| PDMPs | 0.786746 |
| electronic health record | 0.54545 |
| allied health professionals | 0.542879 |
| substance prescriptions | 0.416676 |
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