| 739 |
Centers for Disease Control and Prevention |
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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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| 1172 |
Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Ebola Viral Disease Outbreak — West Africa, 2014 |
On June 24, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Retrospective case investigation | 0.537715 |
| neighboring Sierra Leone | 0.563654 |
| experience hemorrhagic symptoms | 0.553289 |
| virus transmission | 0.683375 |
| Ebola virus transmission | 0.657441 |
| Government Hospital Viral | 0.652965 |
| Ebola virus | 0.997894 |
| European Mobile Laboratory | 0.650776 |
| MMWR Early Release | 0.550699 |
| EVD outbreak | 0.714951 |
| Zoonotic Infectious Diseases | 0.615879 |
| high case-fatality rate | 0.579452 |
| largest previous outbreak | 0.656231 |
| World Health Organization | 0.742903 |
| Hemorrhagic Fever Laboratory | 0.672297 |
| interrupt virus transmission | 0.578823 |
| Global Outbreak Alert | 0.744564 |
| patient care | 0.593799 |
| capital city | 0.549443 |
| Ebola viral disease | 0.614407 |
| Meredith G. Dixon | 0.665703 |
| Hospital Viral Hemorrhagic | 0.663049 |
| Institut Pasteur | 0.635034 |
| species ZaУÐ?re ebolavirus | 0.678607 |
| MУЉdecins Sans FrontiУЈres | 0.647937 |
|
| Kenema Government Hospital | 0.660906 |
| probable case | 0.555849 |
| Guinea | 0.568185 |
| new reported cases | 0.621389 |
| Sierra Leone | 0.924827 |
| Special Pathogens Branch | 0.616685 |
| largest EVD outbreak | 0.679843 |
| TaУÐ? Forest virus | 0.591549 |
| Ilana J. Schafer | 0.549484 |
| Liberia Institute | 0.585049 |
| Ebola virus RNA | 0.638952 |
| CDC response teams | 0.554285 |
| incubation period | 0.543496 |
| total EVD case | 0.563199 |
| current outbreak | 0.592354 |
| polymerase chain reaction | 0.544815 |
| Ebola treatment centers | 0.586568 |
| Viral Hemorrhagic Fever | 0.674676 |
| West Africa Ebola | 0.578578 |
| case-fatality rate | 0.978837 |
| EVD outbreaks | 0.554897 |
| Ebola virus antibodies | 0.638989 |
| highest case-fatality rate | 0.557389 |
| international response teams | 0.537314 |
|
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| 7792 |
Centers for Disease Control and Prevention |
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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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| 11058 |
Centers for Disease Control and Prevention |
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Cholera | Illness & Symptoms |
Cholera is an acute, diarrheal illness caused by infection of the intestine with the bacterium Vibrio cholerae and is spread by ingestion of contaminated food or water. |
| intestine | 0.356073 |
| long term consequences | 0.605096 |
| death | 0.332649 |
| Vibrio cholerae | 0.784017 |
| early stages | 0.487883 |
| additional infections | 0.480421 |
| diarrheal illness | 0.53668 |
| acute renal failure | 0.655336 |
| human waste | 0.629969 |
| large amounts | 0.487737 |
| cholera | 0.93231 |
| bacterium Vibrio cholerae | 0.783186 |
| life threatening | 0.500633 |
| shock | 0.337389 |
|
| cholera patients | 0.820661 |
| carriers | 0.332677 |
| water | 0.369003 |
| coma | 0.345371 |
| spread | 0.33746 |
| symptoms | 0.334335 |
| Vibrio cholerae bacteria | 0.718733 |
| severe electrolyte imbalances | 0.751525 |
| contaminated food | 0.542099 |
| Profuse diarrhea | 0.512794 |
| severe dehydration | 0.579547 |
| infected persons | 0.500299 |
| ingestion | 0.357156 |
|
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| 11137 |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 5.2 |
null |
| LOD | 0.247074 |
| µg/g creatinine | 0.21284 |
| greater uncertainty | 0.319359 |
| percentiles | 0.299146 |
| Mexican Americans | 0.287141 |
| Table | 0.320105 |
| non-hispanic whites | 0.277044 |
| Page Table | 0.293702 |
| non-hispanic blacks | 0.281948 |
| urine concentrations | 0.428478 |
| Males | 0.308892 |
|
| Search Form Controls | 0.204212 |
| Urinary daidzein | 0.908646 |
| National Health | 0.423729 |
| conf. interval | 0.728424 |
| creatinine | 0.237579 |
| Geometric mean | 0.72236 |
| small cell size | 0.460287 |
| uncorrected urine value | 0.250255 |
| u.s. population | 0.456741 |
| Nutrition Examination Survey | 0.663344 |
|
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| 13031 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Lack of Healthy Food Options on Children's Menus of Restaurants in the Health-Disparate Dan River Region of Virginia and North Carolina, 2013 - CDC |
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. |
| North Carolina | 0.545007 |
| healthy entrée ratio | 0.560796 |
| Children’s menus | 0.874412 |
| predominantly black block | 0.694833 |
| local food options | 0.53521 |
| Prev Med | 0.683162 |
| CMA tool | 0.52713 |
| overall CMA score | 0.568105 |
| rural areas | 0.566203 |
| CMA classifies items | 0.533804 |
| mean CMA scores | 0.571116 |
| race block groups | 0.556259 |
| block group level | 0.641965 |
| Dan River Partnership | 0.530256 |
| block groups | 0.876498 |
| healthy options | 0.535099 |
| healthy-food availability scores | 0.545547 |
| mixed-race block groups | 0.642648 |
| mean CMA score | 0.537457 |
| healthy menu options | 0.658245 |
| restaurants | 0.70361 |
| CrossRef | 0.53709 |
| white block groups | 0.552164 |
| mixed race block | 0.542124 |
| high interrater reliability | 0.564814 |
|
| study | 0.557065 |
| fast food | 0.564454 |
| average CMA scores | 0.533592 |
| healthy entrée | 0.633767 |
| block group race | 0.603074 |
| Dan River Region | 0.916212 |
| restaurant type | 0.542728 |
| community-based participatory research | 0.662609 |
| public health | 0.539357 |
| mixed block groups | 0.549199 |
| food environment | 0.603535 |
| restaurant | 0.557492 |
| CMA calibration study | 0.542732 |
| CMA mean score | 0.537144 |
| urban areas | 0.540167 |
| black block groups | 0.736302 |
| food | 0.717776 |
| physical activity | 0.538259 |
| health-disparate region | 0.527775 |
| menu assessment | 0.528597 |
| overall cma scores | 0.703676 |
| children’s menu | 0.88086 |
| healthy food options | 0.699841 |
| childhood obesity | 0.575889 |
|
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Use of Tobacco Tax Stamps to Prevent and Reduce IllicitTobacco Trade - United States, 2014 |
Jamie Chriqui, PhD1; Hillary DeLong, JD2; Camille Gourdet, JD2; Frank Chaloupka, PhD3; Sarah Matthes Edwards, MSPH4; Xin Xu, PhD4; Gabbi Promoff, MA4 (Author affiliations at end of text). |
| tribal tobacco sales | 0.737563 |
| effective tobacco prevention | 0.557298 |
| tribal sales research | 0.492425 |
| Native American tribes | 0.537896 |
| illicit trade | 0.986255 |
| comprehensive approach | 0.508029 |
| Illicit tobacco trade | 0.633993 |
| little cigars | 0.618214 |
| tobacco users | 0.522575 |
| cigarette tax stamps | 0.611178 |
| Health Research | 0.500448 |
| case law | 0.529614 |
| low-tech stamps | 0.52954 |
| combat illicit trade | 0.549599 |
| tobacco excise taxes | 0.536542 |
| tobacco stamping | 0.528661 |
| illicit purchases | 0.524945 |
| tobacco products | 0.830038 |
| roll-your-own tobacco | 0.515498 |
| state laws | 0.505054 |
| tobacco on-reservation | 0.50304 |
| tobacco control efforts | 0.5342 |
| cigarettes | 0.502784 |
| high-tech stamps | 0.636563 |
| explicitly required stamps | 0.582341 |
|
| tax agreements | 0.524774 |
| tobacco tax | 0.584887 |
| Sarah Matthes Edwards | 0.537917 |
| United States | 0.693653 |
| low-tech cigarette tax | 0.501668 |
| specific tax agreements | 0.4986 |
| counterfeit stamps | 0.494437 |
| tribal sales | 0.49767 |
| high tobacco prices | 0.55749 |
| Attorneys General opinions | 0.585205 |
| primary legal research | 0.530873 |
| National Cancer Institute | 0.527888 |
| federal reservation land | 0.677421 |
| tobacco use prevention | 0.511914 |
| conventional stamps | 0.494148 |
| comprehensive tobacco tax | 0.576597 |
| tobacco sales laws | 0.538905 |
| high-tech tax stamps | 0.545527 |
| effective high-tech stamps | 0.544983 |
| comprehensive tax | 0.493935 |
| tax stamps | 0.779963 |
| State Tobacco Activities | 0.557146 |
| Community Tobacco Control | 0.545518 |
| tribal tax rates | 0.492281 |
|
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| 15413 |
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Community Engagement in Health-Related Research: A CaseStudy of a Community-Linked Research Infrastructure, JeffersonCounty, Arkansas, 2011&ndash2013 |
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. |
| connectors | 0.512831 |
| Research Connector Program | 0.518629 |
| institutional research infrastructure | 0.516363 |
| health practice community | 0.515616 |
| health research | 0.508815 |
| community health clinic | 0.502207 |
| Tri-County Rural Health | 0.509789 |
| research | 0.771548 |
| health promotion research | 0.496773 |
| health disparities | 0.539081 |
| Jefferson County | 0.528532 |
| community engagement infrastructure | 0.512091 |
| health registry | 0.524965 |
| health research center | 0.502151 |
| connector program | 0.656485 |
| Community-Engaged Research Grants | 0.531219 |
| community research partnerships | 0.515172 |
| W. Boozman College | 0.504912 |
| community engagement | 0.595739 |
| community advisory board | 0.99346 |
| research opportunities | 0.542497 |
| community health workers | 0.854008 |
| original Community Connector | 0.505364 |
| implementation team | 0.623252 |
| Rural Health Network | 0.531046 |
|
| community members | 0.518214 |
| South Central | 0.514448 |
| community health worker | 0.577479 |
| community-linked research infrastructure | 0.575294 |
| resource directory | 0.507083 |
| Community Health Partnersh | 0.500074 |
| community-based participatory research | 0.640585 |
| public health | 0.543001 |
| health care | 0.525955 |
| Fay W. Boozman | 0.504902 |
| community-engaged research | 0.546617 |
| intentional structural supports | 0.515813 |
| community organizations | 0.504964 |
| research collaborative | 0.557775 |
| community partners | 0.551979 |
| local community health | 0.54258 |
| community residents | 0.626695 |
| infrastructure community partners | 0.503324 |
| white community residents | 0.513681 |
| Community Connector Program | 0.563772 |
| community advisory boards | 0.516133 |
| Shiloh Baptist Church | 0.514033 |
| research participation | 0.509975 |
| New Community-Engaged Research | 0.535467 |
|
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| 16375 |
Centers for Disease Control and Prevention |
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Zika -- B version |
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CLICK HERE |