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Seasonal Influenza Vaccine Safety: A Summary for Clinicians |
CDC Centers for Disease Control and Prevention Influenza Flu - vaccine safety summary provides an overview of the seasonal flu vaccine safety profile including adverse events, contraindications, precautions and administration safety for both LAIV and TIV. |
| previous influenza vaccination | 0.421002 |
| adverse reaction | 0.393872 |
| health care provider | 0.504412 |
| appropriate technique | 0.391807 |
| attenuated vaccine virus | 0.327395 |
| individuals | 0.539129 |
| National Vaccine Injury | 0.330369 |
| ACIP General Recommendations | 0.532081 |
| severe allergies | 0.389012 |
| intramuscular injection | 0.338796 |
| children | 0.457915 |
| severe allergic reaction | 0.448049 |
| General Influenza Recommendations | 0.384828 |
| safety | 0.338865 |
| previous vaccine doses | 0.572661 |
| clinical trials | 0.346025 |
| health care providers | 0.988426 |
| Current health status | 0.585718 |
| seasonal influenza vaccines | 0.346961 |
| pneumococcal conjugate vaccine | 0.358396 |
| influenza vaccine | 0.776551 |
| injection site | 0.460237 |
| possible reactive airways | 0.348483 |
| patients | 0.3431 |
|
| ACIP influenza guidelines | 0.349448 |
| IIV | 0.559081 |
| influenza virus | 0.372062 |
| previous dose | 0.431144 |
| vaccination | 0.514255 |
| LAIV | 0.489521 |
| vaccine components | 0.357492 |
| age group | 0.334235 |
| Flu vaccine composition | 0.35339 |
| IIV vaccination | 0.350762 |
| IIV vaccine | 0.3271 |
| seasonal influenza vaccine | 0.397482 |
| influenza vaccines | 0.372832 |
| ACIP General Influenza | 0.402629 |
| annual IIV vaccination | 0.341961 |
| adverse events | 0.853747 |
| mild illnesses | 0.417986 |
| influenza vaccination | 0.433315 |
| prior doses | 0.387768 |
| hemagglutinin influenza vaccine | 0.388639 |
| severe acute illness | 0.376262 |
| severe acute illnesses | 0.593711 |
| influenza virus antigens | 0.342522 |
| age | 0.416351 |
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Centers for Disease Control and Prevention |
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Trends in Tuberculosis - United States, 2011 |
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. |
| latent TB infection | 0.504882 |
| foreign-born persons | 0.667263 |
| foreign-born TB rates | 0.577983 |
| non-Hispanic Asians | 0.368636 |
| United States | 0.694101 |
| multidrug-resistant TB | 0.491874 |
| TB disease | 0.522746 |
| MDR TB cases | 0.548754 |
| domestic TB control | 0.498809 |
| latent infection | 0.375228 |
| U.S. Census Bureau | 0.385534 |
| national origin | 0.363951 |
| TB surveillance report | 0.500359 |
| TB awareness | 0.494986 |
| Current Population Survey | 0.386161 |
| TB case rates | 0.510884 |
| Gloria E. Oramasionwu | 0.379118 |
| TB decline | 0.488907 |
| state TB rates | 0.533151 |
| provisional TB cases | 0.516301 |
| non-Hispanic blacks | 0.368098 |
| MDR TB | 0.563638 |
| TB surveillance | 0.567238 |
| incident TB cases | 0.559227 |
|
| non-Hispanic whites | 0.41813 |
| lowest rate | 0.365392 |
| racial/ethnic group | 0.483572 |
| population TB rate | 0.544826 |
| TB Prevention | 0.48815 |
| HIV test result | 0.375473 |
| population estimates | 0.363817 |
| tb elimination | 0.57696 |
| TB screening | 0.481468 |
| TB surveillance data | 0.543552 |
| TB case rate | 0.588543 |
| culture-confirmed TB cases | 0.528771 |
| TB rates | 0.703852 |
| U.S. TB cases | 0.582008 |
| TB control | 0.568532 |
| TB patients | 0.532884 |
| foreign-born populations | 0.388466 |
| preventive TB treatment | 0.501548 |
| drug-susceptibility test results | 0.390181 |
| TB diagnosis | 0.481523 |
| local TB control | 0.498298 |
| national TB case | 0.559133 |
| global TB control | 0.551239 |
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Centers for Disease Control and Prevention |
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CDC's Medical Guidelines and Recommendations Regarding Chemical Hazards |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page links to CDC's medical guidelines and recommendations regarding chemical hazards. |
| VX | 0.222129 |
| Interim recommendations | 0.325346 |
| agents GA | 0.240858 |
| potential adverse effects | 0.8572 |
| clam fishing | 0.269281 |
| primary source | 0.22698 |
| Emergency Room Procedures | 0.419335 |
| mustard agent | 0.329341 |
| human health | 0.222232 |
| chemical warfare agents | 0.451887 |
| Disease Control | 0.99284 |
| initial treatment | 0.230783 |
|
| vesicant agent | 0.252388 |
| long-term exposure | 0.329632 |
| differential diagnosis | 0.257415 |
| Fed Reg. | 0.706095 |
| sulfur mustard munitions | 0.707208 |
| Chemical Hazard Emergencies | 0.441532 |
| public health emergencies | 0.429802 |
| job aid | 0.231012 |
| airborne exposure limits | 0.557283 |
| CDC Emergency Preparedness | 0.431914 |
| Final recommendations | 0.495996 |
| low doses | 0.257108 |
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Centers for Disease Control and Prevention |
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Free Flu Materials - Video |
Free flu resources for video content - CDC |
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Centers for Disease Control and Prevention |
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Muscular Dystrophy - Diagnostic Tool |
null |
| specific neuromuscular features | 0.601197 |
| CDC | 0.583385 |
| American Academy | 0.622567 |
| early intervention programs. | 0.690027 |
| diagnostic odyssey | 0.542612 |
| Special education instruction | 0.635489 |
| muscular dystrophy | 0.833824 |
| special education resources | 0.648495 |
| task force | 0.616994 |
| Project Muscular Dystrophy | 0.657881 |
| children | 0.630605 |
| young children | 0.54579 |
| health care professionals | 0.810469 |
| AAP clinical report | 0.689725 |
| diagnostic tests | 0.533331 |
| early identification | 0.968247 |
| Recent AAP guidelines | 0.658855 |
| primary care clinicians | 0.611312 |
| National Task Force | 0.59859 |
| new tool | 0.546165 |
| social development | 0.538948 |
| motor development | 0.831589 |
| dystrophy—Duchenne muscular dystrophy—experience | 0.650416 |
| Bright Futures Program | 0.597947 |
| new clinical report | 0.648751 |
|
| muscular dystrophy program | 0.658236 |
| correct diagnosis | 0.557551 |
| clinical report | 0.9687 |
| special education | 0.666067 |
| early screening | 0.75251 |
| quicker referral | 0.534079 |
| early intervention programs | 0.712674 |
| CDC research | 0.550828 |
| early intervention | 0.874204 |
| early diagnosis tool | 0.681662 |
| muscle weakness | 0.630355 |
| Medscape Expert Commentary | 0.611982 |
| faster access | 0.533293 |
| new web-based tool | 0.639633 |
| stiff muscles | 0.540395 |
| diagnostic test | 0.53467 |
| Early intervention services | 0.711851 |
| motor delays | 0.921361 |
| early diagnosis | 0.724176 |
| diagnostic tool | 0.536319 |
| different doctors | 0.533209 |
| Physical Developmental Delays | 0.708773 |
| child muscle weakness | 0.628575 |
| low muscle tone | 0.633455 |
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FAQs about Baseline Testing | HEADS UP |
null |
| CDC | 0.213902 |
| future concussion | 0.368809 |
| pre-injury tests | 0.279789 |
| overall baseline test | 0.452736 |
| brain function | 0.279316 |
| frequent neuropsychological testing | 0.344313 |
| post-injury test results | 0.335685 |
| similar exam | 0.277427 |
| balance | 0.227875 |
| school | 0.280587 |
| medical condition | 0.263392 |
| play decisions | 0.326958 |
| concussion symptoms | 0.441676 |
| health care professionals | 0.539345 |
| concussion assessment tools | 0.435718 |
| athlete | 0.362775 |
| stand-alone diagnostic tool | 0.316756 |
| mood disorders | 0.266795 |
| league | 0.214609 |
| list | 0.214645 |
| valid test result | 0.320553 |
| medical conditions | 0.265186 |
| concussion management | 0.357907 |
| reaction time | 0.267763 |
| concussion | 0.606903 |
|
| baseline exam | 0.420593 |
| Attention Deficit/Hyperactivity Disorder | 0.319309 |
| problems | 0.214323 |
| baseline testing | 0.910361 |
| play protocols | 0.262609 |
| baseline pre-season test | 0.456559 |
| paper-pencil neuropsychological tests | 0.449299 |
| recovery | 0.237818 |
| prior history | 0.263543 |
| neuropsychological test components | 0.33883 |
| memory skills | 0.276174 |
| neuropsychologist | 0.214271 |
| common questions | 0.278154 |
| health care | 0.753182 |
| baseline tests | 0.452188 |
| pre-season exam | 0.288063 |
| concentration | 0.224673 |
| concentrate | 0.215054 |
| young athletes | 0.283174 |
| immediate care | 0.270898 |
| athletes ages | 0.274999 |
| important opportunity | 0.264098 |
| migraines | 0.2137 |
| return | 0.241456 |
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Systems for Rapidly Detecting and Treating Persons withEbola Virus Disease - United States |
On March 3, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| regional Ebola | 0.489561 |
| frontline health care | 0.537649 |
| infectious diseases | 0.420982 |
| public health authorities | 0.618588 |
| Public health departments | 0.390837 |
| Ebola virus | 0.564408 |
| Ebola outbreak | 0.494897 |
| Zoonotic Infectious Diseases | 0.411083 |
| health care facility | 0.43439 |
| Acute health care | 0.39944 |
| health care personnel | 0.403514 |
| National Center | 0.404874 |
| World Health Organization | 0.392423 |
| CDC staff members | 0.38879 |
| state health authorities | 0.390515 |
| U.S. health care | 0.407072 |
| CDC Ebola response | 0.562099 |
| public health officials | 0.471345 |
| travelers | 0.393008 |
| Public Health Performance | 0.384357 |
| health care facilities | 0.642165 |
| on-site CDC screening | 0.394901 |
| local health authorities | 0.391263 |
| health care settings | 0.400783 |
| Ebola patients | 0.530568 |
|
| public health agencies | 0.388125 |
| Ebola | 0.930322 |
| Ebola virus disease | 0.560578 |
| Ebola assessment hospital | 0.583341 |
| ongoing health monitoring | 0.384803 |
| United States | 0.54329 |
| possible Ebola | 0.496141 |
| Lisa M. Koonin | 0.400796 |
| Ebola infections | 0.507576 |
| infection control | 0.452888 |
| unrecognized Ebola | 0.502797 |
| CDC public health | 0.442057 |
| public health | 0.675969 |
| health care | 0.651488 |
| confirmed Ebola | 0.588451 |
| health care preparedness | 0.421477 |
| Ebola assessment hospitals | 0.798253 |
| Ebola treatment centers | 0.76406 |
| Ebola treatment center | 0.665948 |
| local public health | 0.561097 |
| REP teams | 0.389523 |
| Public Health Preparedness | 0.388899 |
| Ebola patient | 0.50283 |
| West Africa | 0.406033 |
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Practice Healthy Behaviors |
You can lower your risk of getting breast cancer at a young age by making healthy lifestyle choices. |
| higher risk | 0.626136 |
| risk factors | 0.625973 |
| pain | 0.448468 |
| chance | 0.45933 |
| shape | 0.455933 |
| ovarian cancer | 0.644261 |
| health care provider | 0.835007 |
| changes | 0.443132 |
| breast cancer | 0.963741 |
| healthy weight | 0.705999 |
|
| babies | 0.464045 |
| Talk | 0.460485 |
| nipple discharge | 0.697862 |
| breasts | 0.484189 |
| physical activity | 0.680809 |
| doctor | 0.474513 |
| family health history | 0.876675 |
| size | 0.443026 |
| healthy lifestyle choices | 0.965527 |
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National Gay Men's HIV/AIDS Awareness Day - September 27, 2015 |
National Gay Men's HIV/AIDS Awareness Day is observed each year on September 27 to direct attention to the ongoing and disproportionate impact of human immunodeficiency virus (HIV) infection and acquired immune deficiency syndrome (AIDS) on gay, bisexual, and other men who have sex with men (MSM) in the United States. MSM represent approximately 2% of the U.S. |
| Purcell DW | 0.471055 |
| endorsement | 0.379911 |
| National Gay Men | 0.909187 |
| Human Services | 0.590679 |
| U.S. Department | 0.595012 |
| MMWR HTML versions | 0.580813 |
| new HIV diagnoses | 0.820017 |
| electronic PDF version | 0.5697 |
| viral suppression | 0.466198 |
| Open AIDS | 0.462474 |
| Additional information | 0.587775 |
| Contact GPO | 0.482889 |
| diagnosis | 0.34883 |
| HIV prevention services | 0.775827 |
| commercial sources | 0.457022 |
| HIV medical care | 0.77829 |
| population size | 0.456661 |
| immune deficiency syndrome | 0.638509 |
| current prices | 0.450575 |
| efforts | 0.349744 |
| Lansky | 0.337466 |
| original paper copy | 0.577298 |
| human immunodeficiency virus | 0.645899 |
| disproportionate impact | 0.506894 |
|
| HIV/AIDS Awareness | 0.644086 |
| Johnson CH | 0.464876 |
| United States | 0.634502 |
| U.S. Government Printing | 0.587715 |
| original MMWR paper | 0.575217 |
| antiretroviral therapy | 0.48016 |
| Superintendent | 0.329633 |
| linkage | 0.331236 |
| MMWR readers | 0.461227 |
| character translation | 0.449063 |
| format errors | 0.450119 |
| Health | 0.350443 |
| MSM | 0.696035 |
| sex | 0.355877 |
| typeset documents | 0.456891 |
| trade names | 0.457137 |
| paper copy | 0.590615 |
| official text | 0.447175 |
| U.S. population | 0.488311 |
| injection drug users | 0.625935 |
| non-CDC sites | 0.454415 |
| et al | 0.45564 |
| electronic conversions | 0.446063 |
| HIV infection | 0.889586 |
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Using Electronic Health Record Data for Healthy WeightSurveillance in Children, San Diego, California, 2014 |
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. |
| data collection efforts | 0.531987 |
| census tracts | 0.565941 |
| community health surveillance | 0.529229 |
| child overweight | 0.510981 |
| health promotion activities | 0.492963 |
| monitoring reportable conditions | 0.471289 |
| San Diego County | 0.672658 |
| Diego healthy weight | 0.506837 |
| public health departments | 0.547837 |
| San Diego | 0.799456 |
| health disparities | 0.527017 |
| surveillance activities | 0.49868 |
| public health surveillance | 0.533316 |
| aggregated EHR data | 0.541548 |
| track health disparities | 0.497742 |
| Public Health Services | 0.541156 |
| San Diego Health | 0.550063 |
| National Health | 0.472131 |
| census tract | 0.54323 |
| Human Services Agency | 0.513707 |
| syndromic surveillance | 0.484238 |
| electronic health record | 0.517388 |
| detailed health information | 0.504645 |
| standard deviation | 0.473871 |
| innovative data source | 0.481381 |
|
| chronic disease surveillance | 0.509251 |
| electronic health information | 0.493968 |
| public health planning | 0.510138 |
| EHR data | 0.687414 |
| measure health disparities | 0.504728 |
| obese children | 0.494517 |
| medical encounters | 0.478561 |
| California Health Interview | 0.503884 |
| county child population | 0.493514 |
| analysis census tracts | 0.483457 |
| Health Systems Integration | 0.491068 |
| electronic data transfer | 0.496548 |
| local health departments | 0.557824 |
| public health | 0.67472 |
| healthy weight surveillance | 0.91237 |
| electronic clinical quality | 0.524421 |
| private health clinics | 0.503149 |
| electronic health records | 0.6067 |
| large medical systems | 0.471675 |
| Diego County children | 0.502913 |
| population health surveillance | 0.597202 |
| EHR-Based Healthy Weight | 0.507514 |
| community health clinics | 0.503957 |
| EHR incentive programs | 0.519898 |
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