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Notes from the Field: Atypical Pneumonia in Three Members ofan Extended Family — South Carolina and North Carolina, July?August2013 |
Sarah K. Rhea, DVM1,2, Stephanie W. Cox, DVM3, Zack S. |
| North Carolina | 0.834522 |
| North Carolina Department | 0.663572 |
| bilateral pulmonary infiltrates | 0.654003 |
| symptom onset | 0.653801 |
| Human Services | 0.657756 |
| diffuse bilateral opacities | 0.65591 |
| Mycoplasma pneumoniae | 0.648179 |
| atypical pneumonia | 0.682687 |
| progressive respiratory failure | 0.773586 |
| upper respiratory symptoms | 0.748277 |
| Jonas M. Winchell | 0.668184 |
| respiratory distress syndrome | 0.757753 |
| North Carolina residents | 0.669585 |
| similar symptoms | 0.651132 |
| 2North Carolina Department | 0.654233 |
| Chlamydophila pneumoniae | 0.652295 |
| respiratory specimens | 0.92627 |
| diffuse bilateral infiltrates | 0.683841 |
| Chest radiographs | 0.728885 |
| Alvaro J. Benitez | 0.645812 |
| bacterial respiratory pathogens | 0.769098 |
| Respiratory Diseases | 0.69177 |
| M. pneumoniae | 0.989152 |
| illness onset | 0.793631 |
|
| progressive respiratory distress | 0.763805 |
| respiratory syncytial virus | 0.770437 |
| respiratory distress | 0.765144 |
| Sarah K. Rhea | 0.641671 |
| South Carolina Department | 0.874861 |
| respiratory illness cluster | 0.831607 |
| mechanical ventilation | 0.877731 |
| respiratory illness | 0.855403 |
| bacterial cultures | 0.714862 |
| M. pneumoniae disease | 0.722155 |
| respiratory symptoms | 0.838237 |
| acute respiratory failure | 0.799047 |
| Environmental Control | 0.701424 |
| Legionella urinary antigen | 0.916989 |
| index patient | 0.936649 |
| North Carolina Division | 0.68486 |
| public health | 0.712997 |
| 3South Carolina Department | 0.654107 |
| public health investigation | 0.644111 |
| community-acquired pneumonia | 0.652504 |
| M. pneumoniae strain | 0.7235 |
| severe respiratory illness | 0.775308 |
| urinary antigen assay | 0.650015 |
| respiratory failure | 0.934748 |
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CDC - 2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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MMWR News Summary: October 6, 2011 |
MMWR News Summary: October 6, 2011 |
| tobacco screening | 0.620723 |
| commercial health plans | 0.755818 |
| certain recommendations | 0.621872 |
| emergency department visits | 0.784614 |
| playground activities | 0.648438 |
| private residences | 0.633485 |
| pool chemical exposures | 0.774294 |
| sports fields | 0.644529 |
| illness surveillance | 0.636027 |
| colorectal cancer screening | 0.733273 |
| life-long impairment | 0.648112 |
| greater risk | 0.643894 |
| personal protective equipment | 0.974749 |
| minimum baseline standards | 0.734278 |
| eye injuries | 0.639153 |
| Appropriate diagnosis | 0.6409 |
| Affordable Care Act | 0.726343 |
| CDC Division | 0.794706 |
| Health care professionals | 0.784871 |
| better chemical handling | 0.742213 |
| HUMAN SERVICES | 0.637545 |
| untrained persons | 0.649316 |
| recreation-related traumatic brain | 0.800171 |
| Patient Protection | 0.626309 |
| incompatible products | 0.895216 |
|
| state-based injury | 0.657939 |
| skin injuries | 0.639033 |
| Electronic Media | 0.788781 |
| application equipment | 0.634322 |
| hospital emergency rooms | 0.748922 |
| respiratory symptoms | 0.63499 |
| pool disinfectants | 0.652538 |
| engineering controls | 0.629653 |
| TBI symptoms | 0.724246 |
| U.S. DEPARTMENT | 0.629457 |
| nationally representative sample | 0.738466 |
| Colorado Department | 0.630186 |
| label redesign | 0.628265 |
| public health | 0.751598 |
| pool chemical container | 0.745102 |
| S. Preventive Services | 0.740376 |
| common activities | 0.653121 |
| obesity screening | 0.62549 |
| young athletes | 0.780328 |
| Mark Salley | 0.642282 |
| key role | 0.640195 |
| experience longer recovery | 0.760139 |
| individual’s memory | 0.642517 |
| TBI recover | 0.71615 |
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Salmonella | Outbreak of Salmonella Heidelberg Infections Linked to Tyson Brand Chicken | Jan, 2014 |
Outbreak of Salmonella Heidelberg Infections Linked to Tyson Brand Mechanically Separated Chicken at a Correctional Facility |
| foodborne infections | 0.254002 |
| Antimicrobial Resistance Monitoring | 0.290542 |
| Public health investigators | 0.28758 |
| human isolates | 0.275216 |
| single correctional facility | 0.335865 |
| outbreak | 0.448857 |
| ill persons | 0.920364 |
| Tyson Foods | 0.372255 |
| Farms brand chicken | 0.293441 |
| Tennessee correctional facility | 0.691626 |
| median age | 0.27647 |
| Salmonella Web Page | 0.323294 |
| antibiotic resistance pattern | 0.297941 |
| antibiotic classes | 0.255832 |
| Tennessee’s investigation | 0.25094 |
| public health officials | 0.285043 |
| National Antimicrobial Resistance | 0.288112 |
| Salmonella Heidelberg | 0.745418 |
| public health laboratories | 0.326287 |
| pulsed-field gel electrophoresis | 0.295601 |
| national subtyping network | 0.294327 |
| Salmonella bacteria | 0.281822 |
| multistate outbreak | 0.269631 |
| United States | 0.306776 |
|
| antibiotic resistance testing | 0.334296 |
| multidrug-resistant Salmonella Heidelberg | 0.322069 |
| additional persons | 0.269745 |
| important cause | 0.250824 |
| paste-like chicken product | 0.250587 |
| antibiotic resistance | 0.352453 |
| Salmonella infections | 0.282455 |
| illness onset dates | 0.522442 |
| public health | 0.420572 |
| outbreak strain | 0.387514 |
| food regulatory laboratories | 0.287784 |
| mechanically separated chicken | 0.676198 |
| separated chicken products | 0.387202 |
| CDC Salmonella Web | 0.326135 |
| clinical isolates | 0.256108 |
| local public health | 0.328962 |
| Salmonella Heidelberg infections | 0.604264 |
| correctional facility | 0.724101 |
| United States Department | 0.2904 |
| additional ill persons | 0.274409 |
| information | 0.252631 |
| CDC NARMS laboratory | 0.261086 |
| multidrug-resistant isolates | 0.255768 |
| Foster Farms brand | 0.286538 |
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Announcements: National Latino AIDS Awareness Day - October15, 2014 |
National Latino AIDS Awareness Day is observed each year on October 15 to focus on the continuing and disproportionate effects of human immunodeficiency virus (HIV) infection and acquired immune deficiency syndrome (AIDS) on the Hispanic or Latino population in the United States. Two of the three goals of the National HIV/AIDS Strategy are to reduce HIV incidence and to reduce HIV-related disparities (1). |
| National HIV/AIDS Strategy | 0.566814 |
| endorsement | 0.434647 |
| male-to-male sexual contact | 0.551917 |
| Human Services | 0.5295 |
| MMWR HTML versions | 0.536664 |
| U.S. Department | 0.529653 |
| Latino AIDS Awareness | 0.910839 |
| electronic PDF version | 0.530782 |
| HIV-related disparities | 0.501137 |
| Hispanic | 0.435403 |
| goals | 0.414254 |
| Additional information | 0.476906 |
| Contact GPO | 0.489808 |
| Latino males | 0.567307 |
| commercial sources | 0.476072 |
| Latino white men | 0.632409 |
| immune deficiency syndrome | 0.562779 |
| current prices | 0.472947 |
| original paper copy | 0.527664 |
| human immunodeficiency virus | 0.566695 |
| HIV prevention activities | 0.589381 |
| Latinos | 0.499054 |
| new infections | 0.624255 |
| United States | 0.488756 |
|
| original MMWR paper | 0.533856 |
| U.S. Government Printing | 0.530583 |
| MMWR readers | 0.478515 |
| character translation | 0.472112 |
| Latino men | 0.566691 |
| CDC resources | 0.509268 |
| Latino whites | 0.566662 |
| National Latino AIDS | 0.903631 |
| high-risk heterosexual contact | 0.556479 |
| format errors | 0.472598 |
| Latino population | 0.57989 |
| HIV incidence | 0.612575 |
| Health | 0.421872 |
| typeset documents | 0.47603 |
| trade names | 0.476126 |
| official text | 0.471184 |
| National HIV Behavioral | 0.596705 |
| disproportionate effects | 0.499578 |
| non-CDC sites | 0.474953 |
| HIV testing | 0.523437 |
| electronic conversions | 0.470733 |
| HIV infection | 0.523529 |
| Latino females | 0.565523 |
| Hispanics | 0.499479 |
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HIV-Related Risk Behaviors Among Male High School StudentsWho Had Sexual Contact with Males - 17 Large Urban SchoolDistricts, United States, 2009-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Hispanic male students | 0.639677 |
| white students | 0.474792 |
| lower prevalence | 0.532775 |
| higher prevalence | 0.49085 |
| young black males | 0.553365 |
| HIV risk assessment | 0.510971 |
| black male students | 0.663423 |
| sexually active students | 0.481597 |
| Risk Behavior Survey | 0.473515 |
| undiagnosed HIV infection | 0.507043 |
| new HIV | 0.588675 |
| urban school districts | 0.573067 |
| sexual contact | 0.947359 |
| Youth Risk Behavior | 0.5886 |
| black students | 0.504919 |
| high school dropouts | 0.468698 |
| urban school districts* | 0.476977 |
| TB Prevention | 0.471096 |
| young black male | 0.510585 |
| male students | 0.855114 |
| public school†students | 0.489805 |
| sexual intercourse | 0.504662 |
| young black MSM | 0.797877 |
| males | 0.617478 |
| Viral Hepatitis | 0.469612 |
|
| significantly lower prevalence | 0.512372 |
| significantly higher prevalence | 0.47275 |
| public health practice | 0.473798 |
| high school program | 0.468646 |
| HIV prevention strategies | 0.516841 |
| human immunodeficiency virus | 0.532377 |
| white MSM | 0.550252 |
| largest number | 0.4716 |
| large urban school | 0.700938 |
| sexual behaviors | 0.472102 |
| Hispanic students | 0.475515 |
| urban school district–level | 0.475587 |
| HIV diagnoses | 0.490977 |
| HIV transmission | 0.504677 |
| School response rates | 0.474138 |
| high school students | 0.541248 |
| new human immunodeficiency | 0.475839 |
| sexual contacts | 0.476369 |
| male high school | 0.488974 |
| HIV viral load | 0.500302 |
| school enrollment size | 0.472736 |
| HIV testing | 0.473659 |
| young MSM | 0.56961 |
| HIV-related risk behaviors | 0.931402 |
|
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Time to RE-AIM: Why Community Weight Loss Programs Should Be Included in Academic Obesity Research |
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. |
| Weight Watchers | 0.665228 |
| weight loss treatment | 0.386209 |
| weight loss program | 0.543447 |
| new weight loss | 0.395094 |
| Weight Watchers studies | 0.396382 |
| goal weight loss | 0.400368 |
| Jenny Craig counselor | 0.3714 |
| Weight Watchers offer | 0.395183 |
| mean weight change | 0.389304 |
| National Diabetes Prevention | 0.433152 |
| multifaceted commercial weight | 0.370391 |
| TOPS | 0.404317 |
| average weight loss | 0.394429 |
| actual body weight | 0.373787 |
| weight loss | 0.927583 |
| community-based weight loss | 0.424169 |
| daily calorie allowance | 0.369302 |
| national commercial weight | 0.418531 |
| Weight Watchers program | 0.417582 |
| intensive lifestyle intervention | 0.372053 |
| weight loss maintenance | 0.421345 |
| existing weight loss | 0.406445 |
| One-year mean weight | 0.370408 |
| Prevention Recognition Program | 0.410213 |
| sustained weight loss | 0.384595 |
|
| Jenny Craig | 0.740345 |
| goal weight | 0.449994 |
| United States | 0.385486 |
| population-level impact | 0.39585 |
| weight loss intervention | 0.409394 |
| low-resource settings | 0.369652 |
| efficacy-based weight loss | 0.453522 |
| Technical Assistance Center | 0.36929 |
| nonprofit weight loss | 0.45053 |
| weight loss programs | 0.62212 |
| weight loss phase | 0.435144 |
| RCT-based weight loss | 0.42219 |
| efficacious weight loss | 0.425455 |
| participants | 0.375766 |
| weight maintenance | 0.370746 |
| weight loss interventions | 0.602649 |
| program fidelity | 0.375326 |
| significant weight loss | 0.394177 |
| nonacademic weight loss | 0.391028 |
| randomized controlled trial | 0.381001 |
| obesity epidemic | 0.419881 |
| Diabetes Prevention Program | 0.507549 |
| commercial weight loss | 0.488022 |
| Diabetes Prevention Recognition | 0.394606 |
|
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CDC Flu Email Updates |
Submit your organization's information to become a flu prevention partner. |
| Influenza Diagnostic Testing | 0.572121 |
| Flu Illness | 0.645534 |
| Flu Email Updates | 0.746802 |
| Flu Viruses | 0.672144 |
| Flu Vaccines | 0.769895 |
| Prevent Flu | 0.67829 |
| Influenza Testing Results | 0.594622 |
| Flu Good Health | 0.672851 |
| Influenza Viruses | 0.593039 |
| Seasonal Influenza Vaccine | 0.750057 |
| Quadrivalent Influenza Vaccine | 0.661294 |
| CDC’s Flu | 0.644359 |
| Flu Adults | 0.652076 |
| Flu Activity | 0.645745 |
| Influenza Pandemic Virus | 0.580129 |
| Flu Vaccine | 0.85565 |
| (Flu) | 0.793941 |
| Influenza Types | 0.569347 |
| ) Vaccination | 0.708397 |
| Influenza Vaccines | 0.613512 |
| United States Flu | 0.662624 |
| Vaccine Safety Vaccine | 0.635318 |
| Influenza Viruses Types | 0.590967 |
| CDC Flu Email | 0.747442 |
| Flublok Seasonal Influenza | 0.590439 |
|
| Vaccination Flu Vaccination | 0.706164 |
| High-Dose Seasonal Influenza | 0.591397 |
| Weekly U.S. Influenza | 0.573461 |
| Control Influenza Transmission | 0.561414 |
| Flu Antiviral Drugs | 0.770983 |
| CDC International Flu | 0.670572 |
| Prevent Flu Preventive | 0.665273 |
| Influenza Surveillance | 0.557967 |
| Seasonal Flu | 0.667537 |
| Flu Vaccine Recommendation | 0.735484 |
| Flu Treatment | 0.655805 |
| Influenza Vaccination Clinic | 0.590465 |
| Flu News | 0.621528 |
| Flu Complications | 0.636341 |
| Flu Season Flu | 0.909878 |
| Diagnosis Flu Symptoms | 0.66701 |
| Flu Vaccine Safety | 0.778352 |
| Cell-Based Flu Vaccines | 0.693133 |
| Flu Season Current | 0.679139 |
| Vaccine Effectiveness | 0.554693 |
| Flu Vaccines Work | 0.700497 |
| Influenza Vaccine Doses | 0.658689 |
| Past Flu Seasons | 0.667428 |
| Influenza 2015-2016 Season | 0.587429 |
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Using Nicotine Replacement Therapy |
Medications can help you handle withdrawal, lessen cravings, and double your chances of quitting for good. |
| NRT products | 0.859007 |
| different ways | 0.525165 |
| Vet | 0.449372 |
| commonly used family | 0.643542 |
| quit methods | 0.557053 |
| smoking strategy | 0.533582 |
| program | 0.442703 |
| medical experts | 0.529864 |
| body | 0.424396 |
| urge | 0.474392 |
| good | 0.428456 |
| research | 0.426164 |
| NRT | 0.961664 |
| certain NRT products | 0.832637 |
| cigarette cravings | 0.560385 |
| variety | 0.424404 |
|
| helpful tools smokers | 0.636828 |
| best chance | 0.510548 |
| text | 0.442731 |
| strategies | 0.42364 |
| Nicotine replacement therapy | 0.674382 |
| Mom | 0.450701 |
| people | 0.484671 |
| Doctors | 0.423874 |
| quit smoking medications | 0.715967 |
| effects | 0.426308 |
| withdrawal feelings | 0.696466 |
| chances | 0.469669 |
| dangerous chemicals | 0.532355 |
| cigarettes | 0.427284 |
| main addictive substance | 0.61447 |
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Staphylococcal Food Poisoning |
Staphylococcal food poisoning is a gastrointestinal illness. It can be transmitted by food workers and is also found in unpasteurized milk and cheese products. Some examples of foods that have caused staphylococcal food poisoning are sliced meat, puddings, pastries and sandwiches. |
| toxin-producing bacteria | 0.209678 |
| Staph toxin | 0.431897 |
| food safety tips | 0.310987 |
| foods | 0.259334 |
| gastrointestinal illness | 0.27717 |
| sandwiches. Food | 0.233679 |
| brief illness | 0.249733 |
| staphylococcal enterotoxin | 0.271272 |
| staphylococcal food poisoning | 0.906012 |
| biological agent | 0.211147 |
| salt tolerant | 0.221746 |
| Staph toxins | 0.571653 |
| illness | 0.386671 |
| stomach cramps | 0.224693 |
| individual patients | 0.21188 |
| shallow container | 0.206068 |
| cheese products | 0.221825 |
|
| Staph bacteria | 0.411919 |
| patients | 0.221681 |
| unpasteurized milk | 0.228875 |
| hot foods | 0.201325 |
| salty foods | 0.224743 |
| healthy people | 0.318514 |
| High doses | 0.216264 |
| intravenous fluids | 0.214137 |
| Staphylococcal toxins | 0.367821 |
| highest risk | 0.219127 |
| cold foods | 0.201139 |
| bacterium Staphylococcus aureus | 0.351081 |
| hours. Patients | 0.215633 |
| difficulty breathing | 0.207864 |
| severe illness | 0.357415 |
| low doses | 0.215965 |
| important treatment | 0.214572 |
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