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Is It Strep Throat? | CDC Features |
Strep throat is a common type of sore throat in children, but it's not very common in adults. Healthcare professionals can do a quick test to determine if a sore throat is strep throat and decide if antibitoics are needed. Proper treatment can help you feel better faster and prevent spreading it to others! |
| common type | 0.255905 |
| hands | 0.217572 |
| scarlet fever | 0.249265 |
| best way | 0.2487 |
| strep bacteria | 0.392671 |
| coughing | 0.210326 |
| children | 0.211295 |
| contact | 0.210187 |
| things | 0.211223 |
| stomach pain | 0.250818 |
| Test results | 0.243221 |
| vomiting | 0.210571 |
| glass | 0.21005 |
| antibiotic treatment | 0.2523 |
| sore throats | 0.283549 |
| nausea | 0.210922 |
| tonsils | 0.21032 |
| condition | 0.211201 |
| rapid strep test | 0.372706 |
| throat swab | 0.370593 |
| antibiotics | 0.291952 |
| quick test | 0.255773 |
| infection | 0.220774 |
| adults | 0.211277 |
| skin | 0.209962 |
|
| Viruses | 0.209888 |
| cigarette smoke | 0.253425 |
| sores | 0.21111 |
| healthcare | 0.278409 |
| infected person coughs | 0.29664 |
| sneezing | 0.211392 |
| sore throat | 0.655256 |
| strep throat—may | 0.348343 |
| illness | 0.220781 |
| nose | 0.223243 |
| Strep throat symptoms | 0.502682 |
| throat culture | 0.415042 |
| group A strep | 0.384703 |
| droplets | 0.228434 |
| strep throat | 0.939575 |
| chronic postnasal drip | 0.298182 |
| environmental irritants | 0.25731 |
| Healthcare professionals | 0.254867 |
| sick person | 0.24914 |
| sneezes | 0.21017 |
| common symptoms | 0.246655 |
| allergens | 0.211548 |
| Streptococcus bacteria | 0.265059 |
| rash | 0.210778 |
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Announcements: National Stroke Awareness Month - May2014 |
May is National Stroke Awareness Month. Stroke is the fourth leading cause of death in the United States (1). National Stroke Awareness Month aims to save lives by increasing awareness and educating the public about cardiovascular health. |
| National Stroke Awareness | 0.937262 |
| Stroke risk | 0.48398 |
| healthy diet | 0.239465 |
| sudden numbness | 0.312313 |
| United States | 0.392682 |
| U.S. Government Printing | 0.34339 |
| original MMWR paper | 0.33591 |
| Human Services | 0.357254 |
| cardiovascular health | 0.384007 |
| health-care team | 0.23909 |
| U.S. Department | 0.35297 |
| MMWR HTML versions | 0.339629 |
| MMWR readers | 0.236714 |
| character translation | 0.227138 |
| sudden trouble | 0.389838 |
| healthy choices | 0.237208 |
| high cholesterol | 0.25767 |
| sudden confusion | 0.298147 |
| stroke increase | 0.500921 |
| heart disease | 0.330979 |
| electronic PDF version | 0.330745 |
| health conditions | 0.247071 |
| non-Hispanic whites | 0.254553 |
| format errors | 0.225532 |
|
| blood pressure | 0.377354 |
| American Indians/Alaska Natives | 0.367465 |
| Stroke Prevention | 0.472481 |
| greater chance | 0.23986 |
| Contact GPO | 0.252473 |
| typeset documents | 0.231937 |
| trade names | 0.232472 |
| healthy weight | 0.239283 |
| commercial sources | 0.232396 |
| official text | 0.225887 |
| brain damage | 0.236229 |
| physical activity | 0.236387 |
| current prices | 0.229591 |
| certain risk factors | 0.360127 |
| non-CDC sites | 0.230648 |
| Fast treatment | 0.242557 |
| high blood pressure | 0.370798 |
| original paper copy | 0.335555 |
| stroke-related death | 0.260993 |
| family history | 0.246669 |
| medical conditions | 0.23465 |
| emergency care | 0.23836 |
| electronic conversions | 0.223462 |
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Antibiotic Resistance - Health Communication |
Antibiotic Resistance Nursing Homes and Day Care Centers - Gateway to Health Communication - CDC |
| U. S. | 0.484421 |
| drug-resistant outbreaks | 0.532943 |
| oral antibiotic | 0.533556 |
| drug-resistant strains | 0.530165 |
| bloodstream infection | 0.499717 |
| high fevers | 0.474688 |
| bacterium Streptococcus pneumoniae | 0.572891 |
| ear infection | 0.61874 |
| nursing home residents | 0.651504 |
| pneumococcus infections | 0.934568 |
| multi-drug resistant strains | 0.560275 |
| nursing home outbreaks | 0.556055 |
| 16-month-old Melissa | 0.474855 |
| large research study | 0.541651 |
| greatest risk | 0.478351 |
| high number | 0.479361 |
| treatment options diminish | 0.556639 |
| repeated vaccination | 0.479838 |
| elderly populations | 0.481037 |
| antibiotic drugs | 0.546127 |
| drug-resistant strain | 0.526738 |
| antibiotic failures | 0.539153 |
| new cases | 0.47972 |
| antibiotics | 0.478368 |
| nursing homes | 0.737338 |
|
| Personal contact | 0.492804 |
| hospital emergency room | 0.534001 |
| common infections | 0.545563 |
| care center | 0.477527 |
| bacterial infections | 0.626491 |
| elderly nursing home | 0.535044 |
| state health department | 0.531816 |
| antibiotic-resistant pneumococcus infections | 0.752526 |
| bacterial meningitis | 0.489807 |
| pneumococcal bacteria | 0.47715 |
| otitis media | 0.566396 |
| similar cases | 0.476233 |
| bacterial ear infection | 0.569574 |
| licensed vaccine | 0.483514 |
| bacterial infection | 0.524024 |
| people | 0.485334 |
| American Indian populations | 0.544033 |
| care centers | 0.655344 |
| public health problem | 0.534332 |
| Drug-resistant pneumococcal infections | 0.645402 |
| drug-resistant pneumococcus | 0.672217 |
| ear infections | 0.549256 |
| antibiotic medications | 0.544337 |
| past decade | 0.481919 |
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Centers for Disease Control and Prevention |
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Pertussis: Letter of Guidance for Parents and Clinicians during Outbreaks |
This draft letter can be adapted during pertussis outbreaks in schools or other closed or contained settings to guide parents and clinicians during outbreaks. |
| pertussis booster shot | 0.756187 |
| insert location | 0.582502 |
| cough | 0.644337 |
| pertussis | 0.997422 |
| pertussis outbreaks | 0.748989 |
| pregnant women | 0.613984 |
| Disease Control | 0.555179 |
| school | 0.598744 |
| pertussis cases | 0.730906 |
| immune systems | 0.567484 |
| pregnant woman | 0.556756 |
| CDC website | 0.554227 |
| laboratory results | 0.55255 |
| antibiotic prophylaxis | 0.683624 |
| appropriate antibiotics | 0.564856 |
| antibiotic treatment | 0.556867 |
| patients | 0.588781 |
| following exception | 0.551757 |
| Older children | 0.551714 |
| child home | 0.618182 |
| play groups | 0.554723 |
| postexposure prophylaxis | 0.582835 |
| Word file | 0.566787 |
| draft letter | 0.563209 |
| cough onset | 0.581549 |
|
| Collect nasopharyngeal swabs | 0.601102 |
| page | 0.565068 |
| insert health department | 0.631598 |
| antibiotics | 0.594477 |
| Family members | 0.557464 |
| child | 0.839237 |
| severe cough | 0.589739 |
| following people | 0.553999 |
| childhood vaccine | 0.553965 |
| vulnerable individuals | 0.555795 |
| following guidelines | 0.551484 |
| clinical decisions | 0.550964 |
| public health entity | 0.597582 |
| Dear Parent | 0.563276 |
| vaccine provider | 0.55311 |
| insert contact | 0.700276 |
| alternative diagnosis | 0.554535 |
| insert date | 0.582672 |
| doctor | 0.635812 |
| whooping cough | 0.593456 |
| School officials | 0.557874 |
| pertussis PCR | 0.699517 |
| healthcare provider | 0.562242 |
| detailed guidance | 0.562629 |
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Cancer Prevention in the Workplace Feature |
Your job can have a big influence on your health. Learn how employers can help their employees lower their cancer risk. |
| skin cancer | 0.290337 |
| people’s cigarettes | 0.267874 |
| tobacco-free workplace policies | 0.492435 |
| part-time workers | 0.288886 |
| Temporary contract workers | 0.412065 |
| healthy choices | 0.258087 |
| health topics | 0.283696 |
| outdoor employees | 0.269979 |
| Unhealthy behaviors | 0.3344 |
| preventive screenings | 0.254411 |
| cessation programs | 0.275911 |
| secondhand smoke | 0.412383 |
| government assistance | 0.252617 |
| local fitness clubs | 0.373984 |
| healthy eating | 0.256171 |
| fewer benefits | 0.251996 |
| workplace health promotion | 0.475685 |
| healthful behaviors | 0.315899 |
| Outdoor workers | 0.307728 |
| Harmful exposures | 0.287372 |
| Certain behaviors | 0.317657 |
| weight management programs | 0.399978 |
| certain types | 0.415125 |
| medium-sized employers | 0.273922 |
| cancer health disparities | 0.430284 |
|
| health benefits | 0.271851 |
| healthy behaviors | 0.298551 |
| alcohol consumption | 0.253928 |
| long periods | 0.263099 |
| harmful substances | 0.280927 |
| Workplace wellness programs | 0.71179 |
| health protection programs | 0.417976 |
| health-related products | 0.258194 |
| workplace settings | 0.463921 |
| diesel exhaust | 0.263914 |
| protective gear | 0.260375 |
| workers | 0.439944 |
| health-related behaviors | 0.308263 |
| increases cancer risk | 0.459171 |
| big influence | 0.279764 |
| person’s risk | 0.282794 |
| community organizations | 0.252024 |
| night-shift work | 0.256758 |
| seasonal workers | 0.284259 |
| chronic conditions | 0.532803 |
| physical activity | 0.263381 |
| lower their cancer | 0.303112 |
| cancer risk | 0.905357 |
| poor eating habits | 0.384593 |
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CDC Progress on Laboratory Safety |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| APHIS summary | 0.277203 |
| CDC Director | 0.561739 |
| CDC | 0.852416 |
| Biosafety Working Group | 0.35675 |
| CDC labs | 0.420761 |
| findings | 0.209684 |
| laboratory protocols | 0.294108 |
| flu lab investigation | 0.226896 |
| laboratory science work | 0.233157 |
| Agricultural Select Agent | 0.239278 |
| HPAI H5N1 virus | 0.300464 |
| laboratory team-specific protocol | 0.254714 |
| laboratory safety protocols | 0.265235 |
| APHIS H5N1 flu | 0.571851 |
| advance CDC | 0.327557 |
| pathogenic avian influenza | 0.380081 |
| APHIS example protocols | 0.285948 |
| internal Biosafety Working | 0.223721 |
| Additional actions | 0.219691 |
| Plant Health Inspection | 0.232752 |
|
| practice lab procedures | 0.215133 |
| Influenza Division laboratories | 0.206605 |
| Select Agents | 0.208871 |
| CDC response | 0.367767 |
| CDC Director Tom | 0.512301 |
| best laboratory protocols | 0.259988 |
| critical laboratory science | 0.433386 |
| CDC investigations | 0.404275 |
| u.s. department | 0.227875 |
| laboratory safety | 0.42857 |
| Select Agent | 0.339006 |
| laboratory | 0.437069 |
| flu lab incident | 0.724837 |
| internal CDC investigation | 0.51393 |
| H5N1 incident | 0.329434 |
| H5N1 flu lab | 0.976182 |
| CDC report | 0.371801 |
| external high-containment laboratory | 0.252217 |
| anthrax incident | 0.33986 |
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Frequently Asked Questions | Chi Nav | CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| various CHI approaches | 0.381135 |
| Health Needs Assessments | 0.532213 |
| CHI planning efforts | 0.405997 |
| Page | 0.55602 |
| Health Improvement Navigator | 0.428127 |
| health outcomes | 0.420519 |
| County Health Rankings | 0.455184 |
| CHI Navigator site | 0.410173 |
| optimal health outcomes | 0.394545 |
| Successful CHI Efforts | 0.911376 |
| Navigator Database Sources | 0.38926 |
| CHI Efforts section | 0.495021 |
| risk factors | 0.451513 |
| health systems | 0.396513 |
| population health | 0.387841 |
| Navigator database focus | 0.384604 |
| Additional Tools | 0.412294 |
| community health | 0.618217 |
| Community Health Needs | 0.539419 |
| collaborative CHI work | 0.397747 |
| CHI Navigator Database | 0.533716 |
| five-step CHI process | 0.446726 |
| collaborative community health | 0.404784 |
| CHI key concepts | 0.40246 |
|
| tools | 0.561837 |
| Internal Revenue Service | 0.483765 |
| key concepts | 0.730298 |
| CHI efforts.Visit Additional | 0.38112 |
| CHI Navigator Tools | 0.468908 |
| public health | 0.443038 |
| triennial Community Health | 0.412861 |
| health care | 0.392093 |
| different CHI approaches | 0.380971 |
| complex health issues | 0.380078 |
| community partners | 0.383692 |
| health | 0.762173 |
| CHI process | 0.517564 |
| community health assessments | 0.403123 |
| CHI Navigator | 0.920269 |
| comprehensive CHI tools | 0.406248 |
| collaborative chi | 0.41072 |
| community health centers | 0.39407 |
| social support—increase health | 0.380736 |
| final rule | 0.384297 |
| interventions | 0.460921 |
| Navigator database links | 0.384535 |
| evidence-based interventions | 0.392093 |
| public health science | 0.390576 |
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Improving Health and Quality of Life After Cancer |
At least one-third of the more than 14 million survivors in the United States face physical, mental, social, job, or financial problems related to their cancer experience. Learn what can be done. |
| Li C. Current | 0.500521 |
| adult cancer survivors | 0.661382 |
| cancer treatment | 0.53651 |
| emotional distress | 0.455112 |
| treatment ends | 0.459412 |
| work-related concerns | 0.468573 |
| money problems | 0.457264 |
| National Health Interview | 0.519108 |
| Forsythe LP | 0.459501 |
| employee assistance programs | 0.499683 |
| Guy GP Jr | 0.492771 |
| Unhealthy behaviors | 0.462791 |
| mental health screening | 0.538417 |
| Recent research | 0.457944 |
| Genetic factors | 0.459125 |
| health care providers | 0.591751 |
| mental health problems | 0.547019 |
| family members | 0.465196 |
| ovarian cancer | 0.500482 |
| social workers | 0.457146 |
| poorer quality | 0.460776 |
| mental health concerns | 0.782519 |
| cancer survivors | 0.997365 |
| Cancer Epidemiology | 0.527802 |
| physical concerns | 0.485197 |
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| Behavioral Risk Factor | 0.493499 |
| hereditary breast | 0.456429 |
| unused paid time | 0.49668 |
| financial problems | 0.468619 |
| United States | 0.465419 |
| cancer experience | 0.541972 |
| non-traditional work schedule | 0.503166 |
| physical health problems.3 | 0.526796 |
| social support services | 0.503533 |
| physical health-related quality | 0.503047 |
| cancer screenings | 0.499076 |
| Yabroff KR | 0.508714 |
| patient navigators | 0.455935 |
| Rowland JH | 0.455201 |
| professional counseling | 0.457145 |
| Lynch syndrome | 0.458795 |
| healthy weight | 0.458558 |
| support groups | 0.456926 |
| medical care | 0.459909 |
| physical activity | 0.464793 |
| survivor Sharon McKenna | 0.492892 |
| follow-up care—routine checkups | 0.514245 |
| new cancer | 0.508809 |
| cancer history | 0.493022 |
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Controlled Substance Prescribing Patterns - Prescription Behavior Surveillance System, Eight States, 2013 |
Leonard J. Paulozzi, MD1. |
| high rates | 0.407303 |
| data | 0.598506 |
| long-acting opioid prescriptions | 0.533467 |
| prescription drug misuse | 0.496586 |
| drug overdose | 0.372217 |
| commonly prescribed opioids | 0.385933 |
| SA opioid prescriptions | 0.503916 |
| groups opioid analgesics | 0.43545 |
| prescription drug abuse | 0.400842 |
| prescription drugs | 0.51951 |
| public health surveillance | 0.406859 |
| state | 0.649004 |
| opioid analgesic tramadol | 0.426461 |
| stimulants | 0.420942 |
| Prescription Behavior Surveillance | 0.452291 |
| benzodiazepines | 0.39633 |
| daily dosage | 0.418105 |
| Delaware | 0.417105 |
| Unintentional Injury Prevention | 0.41288 |
| LA/ER opioids | 0.409062 |
| prescription drug monitoring | 0.64559 |
| substance abuse treatment | 0.385443 |
| lowest opioid | 0.384464 |
| opioid prescribing rates | 0.787535 |
|
| PDMPs | 0.431112 |
| opioid overdose deaths | 0.408005 |
| Injury Prevention | 0.413096 |
| higher prescribing rates | 0.451144 |
| daily opioid dosage | 0.503542 |
| United States | 0.418177 |
| age group | 0.409231 |
| state Prescription Drug | 0.3946 |
| states | 0.831173 |
| West Virginia | 0.696388 |
| Monitoring Program Center | 0.427906 |
| multiple prescribers | 0.55273 |
| public health | 0.525196 |
| opioid prescriptions | 0.962322 |
| prescription drug | 0.65772 |
| state residents | 0.385825 |
| LA/ER prescriptions | 0.398166 |
| opioid analgesic category | 0.4209 |
| opioid analgesics | 0.748659 |
| LA prescriptions | 0.380878 |
| Drug Monitoring Program | 0.445186 |
| drug monitoring programs | 0.422844 |
| PBSS | 0.519419 |
| opioid prescribing occurs | 0.465381 |
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Prenatal Diagnosis of Microcephaly |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
|
| Prenatal Diagnosis | 0.832183 |
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