| 1290 |
Centers for Disease Control and Prevention |
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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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| 5769 |
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Tungsten (soluble compounds, as W) - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 8378 |
Centers for Disease Control and Prevention |
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Two Measles Outbreaks After Importation - Utah, March-June2011 |
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. |
| developed measles | 0.634771 |
| measles importations | 0.690841 |
| County Health Dept | 0.504089 |
| Lake Valley Health | 0.520532 |
| Lake County outbreak | 0.570526 |
| 2010 Council of State and Territorial Epidemiologists measles case | 0.755307 |
| unvaccinated persons | 0.508909 |
| measles outbreaks | 0.746359 |
| measles IgG antibody | 0.649129 |
| measles IgM results | 0.651037 |
| Measles Virus Laboratory | 0.635808 |
| genotype d4 sequences | 0.570744 |
| voluntary home quarantine | 0.498519 |
| measles infections | 0.651115 |
| Salt Lake Valley | 0.504679 |
| predominant sequence variants | 0.491202 |
| Bear River Health | 0.506919 |
| measles immunoglobulin doses | 0.654109 |
| measles vaccination | 0.683009 |
| public health officials | 0.605506 |
| public health response | 0.498483 |
| febrile rash illness | 0.578521 |
| False-positive measles | 0.646152 |
| measles transmission | 0.642937 |
| measles infection | 0.625329 |
|
| continued measles elimination | 0.62912 |
| measles tests | 0.614992 |
| United States | 0.670677 |
| health-care providers | 0.568034 |
| measles cases | 0.766699 |
| measles immunity.* Contacts | 0.655114 |
| state health department | 0.525694 |
| River Health Department | 0.50848 |
| measles vaccine | 0.67774 |
| local health departments | 0.521459 |
| public health | 0.669652 |
| unvaccinated U.S. resident | 0.507312 |
| unvaccinated Salt Lake | 0.502458 |
| international travel | 0.528856 |
| health department | 0.548173 |
| Health Dept | 0.514316 |
| measles testing | 0.644371 |
| measles IgM | 0.717189 |
| varicella zoster virus | 0.491094 |
| measles IgM testing | 0.671236 |
| rash onset | 0.505293 |
| measles | 0.938686 |
| Salt Lake County | 0.762769 |
| measles patient | 0.668734 |
|
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| 9450 |
Centers for Disease Control and Prevention |
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es |
Creación de asociaciones multisectoriales al servicio de la salud poblacional y la equidad en el ámbito de la salud. |
null |
| Fawcett S | 0.600467 |
| Fox M | 0.576746 |
| Schultz J | 0.593295 |
| múltiples niveles | 0.566871 |
|
| salud pública | 0.967354 |
| Bremby R | 0.58877 |
| presente artÃculo | 0.572699 |
| Chronic Dis | 0.616446 |
|
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| 10331 |
Centers for Disease Control and Prevention |
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en |
HAN Archive - 00320'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| near-real-time air monitoring | 0.604798 |
| federal guidance | 0.44502 |
| international organizations | 0.453525 |
| American people | 0.452776 |
| Disease Control | 0.454873 |
| EDT | 0.393359 |
| U.S. EPA | 0.52224 |
| low levels | 0.62344 |
| federal government | 0.450345 |
| local governments | 0.444849 |
| Fukushima nuclear plant | 0.631862 |
| potassium iodide | 0.465916 |
| breastfeeding women | 0.466459 |
| healthy living | 0.447873 |
| Japan | 0.426356 |
| radiation monitors | 0.718519 |
| liter | 0.383401 |
| environmental monitors | 0.469641 |
| rainwater | 0.421236 |
| recent reports | 0.450575 |
| background levels | 0.49337 |
| Radiation air monitoring | 0.694879 |
| nuclear reactors | 0.473874 |
| CDC Health Alert | 0.669385 |
| bottled water | 0.454329 |
|
| United States | 0.61863 |
| short-term elevations | 0.467341 |
| potential exposure routes | 0.590175 |
| surface waters | 0.608941 |
| enhances health decisions | 0.58753 |
| critical health issues | 0.591179 |
| nationwide sampling results | 0.582009 |
| credible information | 0.456249 |
| elevated levels | 0.771865 |
| radioactive material | 0.950467 |
| public health concern | 0.627165 |
| testing results | 0.448261 |
| drinking water | 0.457033 |
| short period | 0.463506 |
| public health concerns | 0.602634 |
| date information | 0.454158 |
| appropriate federal authorities | 0.568472 |
| sole source | 0.464857 |
| recent precipitation events | 0.622389 |
| strong partnerships | 0.443949 |
| radiation | 0.776024 |
| curie | 0.376641 |
| EPA | 0.556486 |
| Pennsylvania range | 0.46559 |
|
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| 11195 |
Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Chagas Disease - General Information - Vector Information |
Chagas Disease general information. |
| South America | 0.367359 |
| Central America | 0.368207 |
| blood suckers | 0.376218 |
| bite wound | 0.365208 |
| bug species | 0.432395 |
| blood host | 0.368929 |
| health care provider | 0.406387 |
| Larger Picture | 0.372189 |
| Long lasting insecticide | 0.416151 |
| primary care physician | 0.407849 |
| Synthetic pyrethroid sprays | 0.414356 |
| indoor structures | 0.364298 |
| Latin America | 0.424838 |
| life stages | 0.367209 |
| severe allergic reaction | 0.445958 |
| bug feces | 0.467562 |
| parasite inoculation | 0.39931 |
| human Chagas disease | 0.500911 |
| bugs nest | 0.462083 |
| environmental settings | 0.36526 |
| Various triatomine bugs | 0.688815 |
| leaf-footed bug | 0.41845 |
| smaller nymphs | 0.366772 |
| non-triatomine reduviid bugs | 0.609927 |
|
| wide range | 0.365745 |
| important public health | 0.419214 |
| United States | 0.566527 |
| Chagas disease | 0.884453 |
| human blood | 0.365363 |
| cone-nosed bugs | 0.481236 |
| U.S. state | 0.36628 |
| mucous membranes | 0.364637 |
| acute Chagas disease | 0.47169 |
| licensed pest control | 0.413695 |
| wheel bug | 0.412619 |
| triatomine bugs | 0.987514 |
| similar traits | 0.367944 |
| triatomine bite | 0.488312 |
| southern United States | 0.424619 |
| mucous membrane | 0.367369 |
| allergic reaction | 0.642993 |
| house infestation | 0.366136 |
| house infestations | 0.364801 |
| plastered walls | 0.366448 |
| parasite Trypanosoma cruzi | 0.588438 |
| outdoor settings | 0.369914 |
| plant-feeding bugs | 0.45966 |
| anaphylactic shock | 0.412295 |
|
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| 14143 |
Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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