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Centers for Disease Control and Prevention |
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Who Should not Get Vaccinated | CDC |
Who should NOT Get Vaccinated? |
| Tdap vaccine | 0.296381 |
| health care provider | 0.303789 |
| pregnant women | 0.330075 |
| severe allergies | 0.466563 |
| severe allergic reaction | 0.26589 |
| yellow fever vaccine | 0.318971 |
| anthrax vaccine | 0.334159 |
| vaccine tablets | 0.32473 |
| varicella vaccine | 0.304879 |
| influenza vaccine | 0.306793 |
| chickenpox vaccine | 0.331419 |
| meningococcal ACWY vaccine | 0.315099 |
| hepatitis A vaccine | 0.311034 |
| shingles vaccine | 0.323926 |
| rabies vaccine | 0.305912 |
| severe allergy | 0.530001 |
| typhoid vaccine | 0.324579 |
| life-threatening allergic reaction | 0.881751 |
| dose | 0.448739 |
| person | 0.306382 |
| previous dose | 0.425582 |
| pertussis vaccine | 0.311969 |
| earlier pneumococcal vaccine | 0.313353 |
| meningococcal vaccine | 0.302052 |
|
| vaccine components | 0.335066 |
| rotavirus vaccine | 0.318984 |
| JE vaccine | 0.313262 |
| flu vaccine | 0.329162 |
| HPV vaccine | 0.329971 |
| life-threatening allergies | 0.298336 |
| MMRV vaccine | 0.339147 |
| vaccine virus | 0.318866 |
| mild illness | 0.373388 |
| severe reaction | 0.2539 |
| Td vaccine | 0.296862 |
| hepatitis B vaccine | 0.310235 |
| Hib vaccine | 0.331618 |
| vaccine component | 0.319792 |
| DTaP vaccine | 0.313751 |
| people | 0.284121 |
| doctor | 0.37372 |
| vaccine | 0.98629 |
| Live typhoid vaccine | 0.30615 |
| antibiotic neomycin | 0.263282 |
| cancer | 0.252495 |
| adenovirus vaccine | 0.322799 |
| Oral typhoid vaccine | 0.309821 |
| MMR vaccine | 0.325788 |
|
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| 6993 |
Centers for Disease Control and Prevention |
Html |
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Drowning - United States, 2005-2009 |
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. |
| death certificate data | 0.477749 |
| U.S. hospital EDs | 0.339155 |
| recreational water settings | 0.421024 |
| Nonfatal estimates | 0.404033 |
| National Child Death | 0.35299 |
| nonfatal drowning | 0.947715 |
| nonfatal drowning injuries | 0.67672 |
| unintentional drownings | 0.340746 |
| children | 0.522442 |
| nonfatal data | 0.440295 |
| Nonfatal rates | 0.432798 |
| formal swimming lessons | 0.410854 |
| National Electronic Injury | 0.522462 |
| Electronic Injury Surveillance | 0.518466 |
| greater risk | 0.346252 |
| survival swimming skills | 0.425223 |
| unintentional injury death | 0.501531 |
| Child Death Review | 0.403681 |
| National Vital Statistics | 0.537327 |
| swimming pools | 0.486355 |
| Unintentional Injury Prevention | 0.37123 |
| nonfatal cases | 0.471002 |
| older age groups | 0.399303 |
| persons | 0.377743 |
|
| fatal incidents | 0.410822 |
| Injury Program | 0.380341 |
| United States | 0.836653 |
| age group | 0.471665 |
| death rate | 0.64931 |
| transportation injury death | 0.351962 |
| U.S. EDs.§ Data | 0.350222 |
| injury death worldwide | 0.389379 |
| nonfatal drowning patients | 0.682455 |
| nonfatal incidents | 0.486639 |
| cardiopulmonary resuscitation | 0.37202 |
| overall death rate | 0.425181 |
| vehicle crash–related drownings | 0.359411 |
| death certificates | 0.341579 |
| boating-related drowning | 0.4477 |
| drowning death rates | 0.572161 |
| nonfatal unintentional drowning | 0.794545 |
| nonfatal drowning rates | 0.72053 |
| estimated nonfatal drownings | 0.49466 |
| nonfatal injury rates | 0.565754 |
| highest rates | 0.333147 |
| fatal drowning victims | 0.545862 |
| Fatal unintentional drowning | 0.626211 |
| nonfatal drownings | 0.640677 |
|
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Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0331 |
Volumen 10 — el 27 de junio de 2013. |
|
| guÃa comunitaria | 0.963876 |
|
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| 10681 |
Centers for Disease Control and Prevention |
Html |
en |
Personal Reflections - Rima F. Khabbaz, MD |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| CDC | 0.669723 |
| public health journalism | 0.284123 |
| CDC’s response | 0.348551 |
| infectious diseases | 0.329219 |
| Dr. Mary Chamberland | 0.239174 |
| potential SARS cases | 0.434575 |
| public health guidance | 0.311088 |
| SARS case definition | 0.444591 |
| CDC′s SARS pamphlets | 0.378091 |
| Public Health Advisor | 0.269985 |
| novel coronavirus | 0.235923 |
| SARS response volunteers | 0.428057 |
| National Center | 0.265029 |
| public health crises | 0.287615 |
| CDC leadership | 0.311878 |
| World Health Organization | 0.247512 |
| CDC response | 0.339775 |
| SARS | 0.777163 |
| public health officials | 0.295155 |
| international public health | 0.286141 |
| global public health | 0.372708 |
| International Health Regulations | 0.348948 |
| public health information | 0.329815 |
| CDC staffer | 0.307989 |
|
| CDC teams | 0.351252 |
| healthcare providers | 0.228146 |
| large CDC team | 0.3539 |
| outbreak risk communication | 0.230644 |
| SARS cases | 0.490218 |
| Hong Kong | 0.285613 |
| Dr. Khabbaz | 0.445258 |
| SARS Epidemiology | 0.359671 |
| subsequent SARS cases | 0.402749 |
| public health community | 0.370028 |
| CDC SARS response | 0.661055 |
| public health emergency | 0.287539 |
| CDC technical information | 0.374172 |
| local health departments | 0.261805 |
| public health | 0.905098 |
| SARS daily reports | 0.412349 |
| potential public health | 0.274958 |
| CDC scientists | 0.315152 |
| CDC laboratory | 0.31145 |
| new International Health | 0.275004 |
| public health capacity | 0.29421 |
| private healthcare providers | 0.221921 |
| SARS infection | 0.369379 |
| SARS outbreak | 0.579918 |
|
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Centers for Disease Control and Prevention |
Html |
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Enhanced Airport Entry Screening to Begin for Travelers to the United States from Mali |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| large number | 0.608565 |
| CDC | 0.575128 |
| administration | 0.517734 |
| Ebola exposure assessment | 0.725089 |
| direct flights | 0.614387 |
| determination | 0.518935 |
| individuals | 0.518199 |
| Department | 0.51986 |
| Airport Entry Screening | 0.755037 |
| Disease Control | 0.619803 |
| Mali | 0.875091 |
| days. | 0.518006 |
| action | 0.518134 |
| majority | 0.520919 |
| twice daily temperature | 0.694413 |
| passengers | 0.518161 |
| countries | 0.518996 |
| list | 0.519792 |
| travelers | 0.700957 |
| enhanced screening | 0.654527 |
| Atlanta Hartsfield-Jackson | 0.619198 |
| West African nations | 0.689983 |
| cases. | 0.518158 |
| itineraries | 0.51798 |
|
| monitoring measures | 0.61668 |
| lawful permanent residents | 0.713249 |
| Centers | 0.519927 |
| enhanced entry screening | 0.723291 |
| United States | 0.995417 |
| Guinea | 0.537551 |
| Sierra Leone | 0.70378 |
| precaution | 0.530962 |
| Prevention | 0.519897 |
| regular basis | 0.605106 |
| America | 0.518613 |
| Begin | 0.53257 |
| New York JFK | 0.6968 |
| possibility | 0.519167 |
| cases | 0.531922 |
| Ebola-affected nations | 0.616772 |
| local public health | 0.694107 |
| Liberia | 0.553389 |
| symptoms monitoring | 0.604192 |
| symptom checks | 0.610623 |
| small number | 0.613787 |
| movement | 0.517938 |
| 21-day monitoring | 0.617409 |
| authorities. | 0.517758 |
|
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Centers for Disease Control and Prevention |
Html |
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Resources for Parents, Schools, and Pediatric Healthcare Professionals | Ebola Hemorrhagic Fever |
null |
| practice | 0.421349 |
| rare disease | 0.526718 |
| CDC | 0.457366 |
| United States | 0.526551 |
| appropriate care | 0.521684 |
| adults | 0.472158 |
| Early Head Start | 0.619163 |
| Child Care Providers | 0.619794 |
| school administrators | 0.525377 |
| funeral rituals | 0.537617 |
| pediatric patients | 0.516507 |
| social needs | 0.532181 |
| Ebola outbreak | 0.764253 |
| public health departments | 0.635499 |
| caregivers | 0.423993 |
| unique physical | 0.532376 |
| children | 0.641035 |
| mental health needs | 0.844366 |
| procedures | 0.421327 |
| K-12 schools | 0.52546 |
| case fatality rates | 0.667292 |
| special mental health | 0.640144 |
|
| place | 0.421312 |
| following publications | 0.525444 |
| news | 0.423015 |
| impact | 0.421138 |
| sick people | 0.538893 |
| Tools | 0.444344 |
| resources | 0.445502 |
| staff | 0.421195 |
| high risk activities | 0.64289 |
| local health officials | 0.621405 |
| concerns | 0.447645 |
| steps | 0.421121 |
| friends | 0.422985 |
| fewer children | 0.555977 |
| Ebola-related decisions | 0.523315 |
| School officials | 0.521143 |
| chances | 0.42535 |
| healthcare workers | 0.530007 |
| past outbreaks | 0.545652 |
| information | 0.471659 |
| appropriate state | 0.523109 |
| Ebola | 0.974979 |
|
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| 13588 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Predicted Heart Age and Racial Disparities inHeart Age Among U.S. Adults at the State Level |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| predicted excess heart | 0.393223 |
| United States | 0.355517 |
| risk score | 0.36613 |
| heart age calculation | 0.373977 |
| Risk Factor Surveillance | 0.362765 |
| chronological age | 0.474297 |
| additional CVD risk | 0.36785 |
| heart age versus | 0.365173 |
| systolic blood pressure | 0.587976 |
| long-term CVD risk | 0.375299 |
| CVD risk factor | 0.364919 |
| risk factor profile | 0.361372 |
| lifestyle changes | 0.368496 |
| excess heart age | 0.824441 |
| geographic CVD disparities | 0.358673 |
| CVD risk | 0.535998 |
| men | 0.365617 |
| predicted systolic blood | 0.367565 |
| participants | 0.35473 |
| higher predicted heart | 0.403929 |
| non–laboratory-based framingham risk | 0.363449 |
| CVD prediction models | 0.356162 |
| FRS heart age | 0.370846 |
|
| framingham risk score | 0.363447 |
| U.S. adults | 0.42738 |
| different predicted risk | 0.362846 |
| elevated heart age | 0.364478 |
| modifiable CVD risk | 0.376906 |
| CVD risk levels | 0.365863 |
| cardiovascular risk factor | 0.388576 |
| mean excess heart | 0.372877 |
| household income | 0.385878 |
| absolute CVD risk | 0.38462 |
| 10-year CVD risk | 0.366453 |
| age-standardized excess heart | 0.363989 |
| excess heart ages | 0.364796 |
| mean chronological age | 0.353092 |
| sex-specific non–laboratory-based Framingham | 0.353733 |
| coronary heart disease | 0.372337 |
| average excess heart | 0.360556 |
| traditional absolute CVD | 0.354184 |
| Behavioral Risk Factor | 0.362801 |
| CVD risk factors | 0.505337 |
| heart age | 0.947757 |
| BRFSS participants | 0.352945 |
| women | 0.370768 |
|
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Centers for Disease Control and Prevention |
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Brain Injury Safety Tips and Prevention | HEADS UP | CDC Injury Center |
null |
| high school | 0.903985 |
| athletes proper techniques | 0.424195 |
| school soccer players | 0.354346 |
| health care provider | 0.472457 |
| high school cheerleaders | 0.393596 |
| concussion Work | 0.409605 |
| Enforce Safe Play | 0.370067 |
| high school lacrosse | 0.411164 |
| rules | 0.360056 |
| athletes proper fielding | 0.42503 |
| safety | 0.361223 |
| contact | 0.364166 |
| concussion symptom reporting | 0.452795 |
| concussion symptoms | 0.453159 |
| possible concussion report | 0.440911 |
| athletes proper takedown | 0.382533 |
| high school basketball | 0.420084 |
| concussion education | 0.406624 |
| athletes | 0.605249 |
| event administrator | 0.546135 |
| close eye | 0.402039 |
| fair play | 0.523789 |
| good condition | 0.65836 |
| concussion rates | 0.417689 |
| concussion | 0.71324 |
|
| concussion information | 0.418516 |
| high school baseball | 0.372724 |
| proper fielding techniques | 0.384639 |
| Athletes May Try | 0.36861 |
| States High School | 0.367826 |
| game | 0.388069 |
| possible concussion | 0.546731 |
| school ice hockey | 0.451851 |
| high school soccer | 0.39987 |
| hazards | 0.354558 |
| High School Athletics | 0.364272 |
| helmet | 0.36119 |
| Culture Around Concussion | 0.404487 |
| high school athletes | 0.540176 |
| sportsmanship | 0.366954 |
| high school ice | 0.451565 |
| padding | 0.359496 |
| potential concussion | 0.409504 |
| young athletes | 0.438386 |
| safe sport culture | 0.356216 |
| concussion law | 0.40294 |
| youth sports coach | 0.355921 |
| high school football | 0.414018 |
| Sports-Related Concussions | 0.388795 |
|
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| 14407 |
Centers for Disease Control and Prevention |
Html |
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Using Small-Area Estimation to Calculate the Prevalence ofSmoking by Subcounty Geographic Areas in King County, Washington,Behavioral Risk Factor Surveillance System, 2009-2013 |
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. |
| smoking rates | 0.398963 |
| smoking prevalence rates | 0.397542 |
| data | 0.518676 |
| census tracts | 0.780352 |
| multiple imputation | 0.568715 |
| Risk Factor Surveillance | 0.424642 |
| Prev Chronic Dis | 0.413524 |
| King County HRAs | 0.391962 |
| King County sample | 0.418574 |
| nearest intersection question | 0.446671 |
| BRFSS data | 0.398013 |
| zip codes | 0.504769 |
| single census tract | 0.443148 |
| County health reporting | 0.393922 |
| census tract data | 0.462701 |
| census blocks | 0.403175 |
| sample size | 0.570247 |
| census tract level | 0.670387 |
| HRA levels | 0.39096 |
| hierarchical Bayesian models | 0.411333 |
| SAE census tract | 0.446261 |
| respondents | 0.396025 |
| King County BRFSS | 0.401269 |
| census geographic units | 0.42468 |
|
| census tract | 0.968157 |
| Behavioral Risk Factor | 0.423721 |
| direct estimation method | 0.401084 |
| small area estimation | 0.512294 |
| nearest intersection | 0.504123 |
| direct estimation | 0.497156 |
| zip code | 0.456015 |
| King County health | 0.406471 |
| percentage points | 0.566048 |
| health reporting areas | 0.418623 |
| county-level data mask | 0.394999 |
| census block-group level | 0.404099 |
| small sample size | 0.4549 |
| census tract-level analysis | 0.408981 |
| public health | 0.424579 |
| smoothed estimates | 0.408054 |
| census tract estimates | 0.45436 |
| census tract smoking | 0.441774 |
| smoothed–multiple imputation methods | 0.390919 |
| imputation methods | 0.439214 |
| small-area estimation | 0.439233 |
| single imputation methods | 0.39866 |
| census block-group–based areas | 0.42234 |
| King County | 0.780165 |
|
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| 14496 |
Centers for Disease Control and Prevention |
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Notes from the Field: Expanded Chemoprophylaxis Offered inResponse to a Case of Meningococcal Meningitis in an ElementarySchool - Indiana, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| minimal school disruption | 0.77653 |
| local health partnerships | 0.806531 |
| Human Services | 0.766144 |
| state health officials | 0.823639 |
| U.S. Department | 0.771693 |
| school faculty members | 0.781842 |
| possible exposures | 0.705262 |
| electronic PDF version | 0.760174 |
| meningococcal chemoprophylaxis | 0.749863 |
| health care providers | 0.956086 |
| Fort Wayne-Allen County | 0.805257 |
| immediate adverse events | 0.762185 |
| adult contacts | 0.72063 |
| 2Epidemiology Resource Center | 0.758527 |
| peripheral event contacts | 0.788264 |
| Stacey W. Martin | 0.758276 |
| Indiana State Department | 0.78093 |
| previous public health | 0.803257 |
| chemoprophylaxis clinic | 0.733343 |
| Gram stain results | 0.794352 |
| close household contacts | 0.799329 |
| elementary school | 0.796098 |
| local nonprofit hospital | 0.791856 |
| meningococcal disease | 0.739143 |
| persons | 0.700022 |
|
| cerebrospinal fluid | 0.704456 |
| minimal disruption | 0.702653 |
| county health department | 0.986466 |
| short time frame | 0.757678 |
| appropriate chemoprophylaxis | 0.708297 |
| Neisseria meningitidis serogroup | 0.784045 |
| original MMWR paper | 0.765862 |
| infectious period | 0.70163 |
| group receive antibiotics | 0.757839 |
| public health recommendations | 0.818892 |
| local hospital laboratory | 0.81634 |
| well-defined target group | 0.763395 |
| health care workers | 0.81528 |
| appropriate dosages | 0.701556 |
| ciprofloxacin oral suspension | 0.808863 |
| Parkview Regional Medical | 0.77553 |
| Wayne-Allen County Department | 0.781805 |
| CDC support | 0.737137 |
| meningococcal meningitis | 0.834053 |
| elementary school–aged children | 0.784862 |
| potential drug interactions | 0.767983 |
| potentially face-to-face contact | 0.781223 |
| close family members | 0.809387 |
| close contacts | 0.721301 |
|
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