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Outbreak of Salmonellosis Associated with Consumption ofPulled Pork at a Church Festival - Hamilton County, Ohio,2010 |
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. |
| church staff members | 0.450287 |
| Craig S. Davidson | 0.469641 |
| Salmonella Typhimurium | 0.623785 |
| stool specimens | 0.472132 |
| food vendors | 0.522453 |
| U.S. Department | 0.444427 |
| Foodborne Outbreak Online | 0.515716 |
| case-control study | 0.474532 |
| ill persons | 0.470628 |
| food service | 0.682155 |
| frequently reported symptoms | 0.449865 |
| public health regulation | 0.505452 |
| County Public Health | 0.627369 |
| Health Outbreak Response | 0.499954 |
| public health inspection | 0.469373 |
| unregulated food service | 0.479291 |
| outbreak case definition | 0.740968 |
| Hamilton County | 0.61383 |
| church festival coordinator | 0.490397 |
| prevention measures | 0.442277 |
| relevant public health | 0.543817 |
| foodborne illness | 0.614169 |
| public health regulations | 0.542141 |
| Typhimurium variant Copenhagen | 0.589777 |
| pulsed-field gel electrophoresis | 0.490347 |
|
| illness onset | 0.450576 |
| foodborne outbreaks | 0.510114 |
| primary public health | 0.469306 |
| food service licensure | 0.522887 |
| Fifty-one food items | 0.446157 |
| church festivals | 0.568874 |
| food service licensing | 0.444806 |
| gastrointestinal illness | 0.642849 |
| Ohio Revised Code | 0.592317 |
| pork | 0.497065 |
| common Salmonella serotype | 0.454037 |
| festival organizers | 0.476036 |
| local health department | 0.463909 |
| public health implications | 0.465623 |
| public health | 0.887092 |
| food safety practices | 0.637021 |
| case-patients | 0.491023 |
| outbreak pathogen | 0.484235 |
| foodborne outbreak | 0.537364 |
| food service operations | 0.519526 |
| Salmonella enterica serotype | 0.487421 |
| private home | 0.477144 |
| church festival | 0.993073 |
| food safety regulations | 0.444781 |
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Diseases & Conditions A-Z Index - F |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.993422 |
| Field Epidemiology Training | 0.901605 |
| Microsoft PowerPoint file | 0.623596 |
| ePub file | 0.557035 |
| Microsoft Word file | 0.627263 |
| Histoplasma capsulatum Infection | 0.925165 |
| Francisella tularensis Infection | 0.781283 |
| Disease Control | 0.577682 |
| Program (FETP) | 0.596986 |
| Rollover Protective Structures | 0.5798 |
| Microsoft Excel file | 0.621643 |
| Fasciolopsis Infection | 0.788752 |
| Contact CDC | 0.618856 |
| Candida Infection | 0.702269 |
| page options Skip | 0.63916 |
| Form Controls TOPIC | 0.605412 |
| different file formats | 0.625197 |
| Fasciola Infection | 0.788687 |
| Apple Quicktime file | 0.617522 |
| CDC A-Z | 0.753217 |
| Adobe PDF file | 0.619009 |
| Flavorings-Related Lung Disease | 0.590011 |
| processing SSI file | 0.983647 |
| Epidemiology Training Program | 0.901518 |
|
| Search Form Controls | 0.795556 |
| Ovarian Cancer | 0.577029 |
| C. gattii cryptococcosis | 0.59657 |
| Fungal diseases | 0.554391 |
| A-Z Index | 0.984997 |
| Conditions A-Z Index | 0.870944 |
| Strep Infection | 0.712784 |
| Flu Vaccination | 0.587229 |
| Alcohol Spectrum Disorder | 0.569261 |
| Seasonal Flu | 0.577847 |
| Hot Tub Rash | 0.579676 |
| Fragile X Syndrome | 0.598914 |
| CDC Topics | 0.709324 |
| Search The CDC | 0.664122 |
| Clifton Road Atlanta | 0.563668 |
| [Dermatophyte Infection] | 0.777972 |
| Fungal Eye Infections | 0.746391 |
| [Meningococcal Disease] | 0.597945 |
| Aspergillus Infection | 0.703646 |
| Family Health History | 0.841023 |
| Foodborne Illness | 0.574403 |
| Pandemic Flu | 0.592235 |
| RIS file | 0.5554 |
| Shigella Infection | 0.709009 |
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Centers for Disease Control and Prevention |
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Triphenylamine - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 8350 |
Centers for Disease Control and Prevention |
Html |
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Deep Vein Thrombosis - Health Communication |
Deep Vein Thrombosis - Gateway to Health Communication - CDC |
| medical illnesses | 0.634589 |
| DVT | 0.910686 |
| blood clot forms | 0.69467 |
| lung disease | 0.636659 |
| limited movement | 0.574253 |
| unexplained pain | 0.579063 |
| women’s room | 0.565567 |
| precise number | 0.57475 |
| medical condition | 0.582902 |
| central vein | 0.593014 |
| recent swelling | 0.595734 |
| winter vacation | 0.563424 |
| risk factors | 0.569021 |
| sound waves | 0.567766 |
| crew button | 0.563332 |
| birth control pills | 0.757527 |
| blood thinners | 0.577601 |
| inflammatory bowel disease | 0.755189 |
| severe muscle injury | 0.632923 |
| life-threatening complication | 0.580082 |
| slow blood flow | 0.750064 |
| hormone replacement therapy | 0.752509 |
| prevention strategies | 0.566482 |
| lung perfusion | 0.577894 |
| Compression stockings | 0.569546 |
|
| major surgery | 0.57441 |
| medical treatment | 0.566672 |
| Deep Vein Thrombosis | 0.674128 |
| United States | 0.575589 |
| plane checks | 0.564445 |
| Doppler ultrasound | 0.567453 |
| long-term complications | 0.570422 |
| Airport paramedics | 0.56755 |
| recent paralysis | 0.572899 |
| heart disease | 0.634811 |
| lower leg | 0.578338 |
| long time | 0.574185 |
| computerized tomography | 0.567649 |
| pulmonary embolism | 0.653791 |
| weak blood pressure | 0.63184 |
| chronic medical illnesses | 0.630943 |
| emergency detour | 0.568569 |
| local hospital | 0.565758 |
| special type | 0.569025 |
| healthy weight | 0.634169 |
| sedentary lifestyle | 0.643585 |
| common symptoms | 0.581981 |
| certain factors | 0.56424 |
| PE | 0.631211 |
|
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Centers for Disease Control and Prevention |
Html |
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Preventive Health Care - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Preventive Health Care |
| healthy food choices | 0.540114 |
| well-baby check-ups | 0.475914 |
| stable workforce | 0.464155 |
| Medicare Improvement | 0.476016 |
| Providers Act | 0.468283 |
| unintentional injuries | 0.467232 |
| appropriate screenings | 0.483268 |
| three-part standard | 0.470399 |
| Getting Care | 0.471605 |
| premature deaths | 0.467599 |
| environmental disadvantages | 0.465828 |
| preventable chronic diseases | 0.533175 |
| Americans | 0.526479 |
| beneficiary co-insurance | 0.47114 |
| Affordable Care Act | 0.536332 |
| America’s health | 0.47728 |
| health status | 0.481617 |
| employment opportunities | 0.464229 |
| preventive health services | 0.651329 |
| cholesterol screenings | 0.474736 |
| health spending | 0.489298 |
| financial barriers | 0.470949 |
| deductible liability | 0.475733 |
| National Prevention Strategy | 0.521471 |
| Medicare coverage | 0.479162 |
|
| new requirement | 0.47175 |
| unsafe environments | 0.466822 |
| close partnership | 0.467786 |
| cancer screenings | 0.545944 |
| cost-free preventive care | 0.626566 |
| major drain | 0.466424 |
| preventive care | 0.727078 |
| heart disease | 0.58537 |
| term health care | 0.535699 |
| healthy development | 0.485515 |
| domestic violence screening | 0.523233 |
| prevention impact | 0.468633 |
| health problems impact | 0.53365 |
| certain recommended preventive | 0.622727 |
| certain private health | 0.547318 |
| healthcare team | 0.474473 |
| chronic diseases | 0.613068 |
| Health Insurance Rate | 0.538104 |
| certain preventive services | 0.617647 |
| health costs | 0.475184 |
| preventive visits | 0.563849 |
| cost sharing | 0.539686 |
| well-woman visits | 0.470629 |
| preventive services | 0.900657 |
|
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Frequently Asked Questions' Lightning |
CDC provides information about lightning strikes including safety tips for people indoors and outdoors, first aid recommendations, and lightning strike victim data. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
|
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Questions and Answers about Ebola and Food Safety in theUnited States | Ebola Hemorrhagic Fever | CDC |
null |
| best course | 0.242242 |
| infected  blood | 0.245688 |
| United States consumers | 0.28701 |
| evidence | 0.236116 |
| foods | 0.235191 |
| Ebola outbreak investigations | 0.558758 |
| wild animals | 0.293712 |
| Ebola virus | 0.782737 |
| Ebola outbreak | 0.660462 |
| direct contact | 0.278438 |
| area | 0.23078 |
| smuggling bushmeat | 0.305121 |
| NIOSH Fact Sheet | 0.276125 |
| personal protective equipment | 0.272593 |
| bushmeat | 0.387469 |
| animal products | 0.244143 |
| body fluids | 0.385955 |
| past Ebola outbreaks | 0.477834 |
| Airport Retail | 0.241612 |
| United States ports | 0.290814 |
| sick food workers | 0.289973 |
| Food Service Workers | 0.282148 |
| African bushmeat | 0.304883 |
| possible exception | 0.250602 |
|
| Ebola | 0.908146 |
| human consumption | 0.240587 |
| food worker | 0.383907 |
| contaminated bushmeat | 0.318056 |
| ill food worker | 0.289304 |
| United States | 0.737882 |
| Ebola virus infection | 0.4873 |
| food item | 0.249899 |
| Ebola Questions | 0.412331 |
| African countries | 0.290918 |
| previous Ebola outbreak | 0.558802 |
| infected food worker | 0.360664 |
| health department | 0.377359 |
| live animals | 0.242447 |
| breast milk | 0.239399 |
| people | 0.235706 |
| food | 0.434338 |
| livestock population | 0.241417 |
| possibly contaminated surface | 0.284072 |
| food safety | 0.289889 |
| illness symptoms | 0.24039 |
| United States Department | 0.288039 |
| USDA regulations | 0.241037 |
| risk | 0.248562 |
|
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Centers for Disease Control and Prevention |
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A Killer in Indian Country | CDC |
The sad reality is that American Indian and Alaska Natives use seat belts and child safety seats less often and are involved in more alcohol-related crashes than any other group in the US. The video features the CDC Director, a crash survivor and Indian Health Service expert speaking about how to stay safe on the road by wearing seat belts whenever you’re in the car, making sure that young children are in a car safety seat that’s the right size for their age and weight and choosing never to drink and drive.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/cdctv/KillerIndian/index.html |
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Cigarette Smoking Among Urban American Indian Adults -Hennepin and Ramsey Counties, Minnesota, 2011 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| smoking rates | 0.582055 |
| Minnesota Adult Tobacco | 0.669441 |
| general Minnesota population | 0.569944 |
| Risk Factor Surveillance | 0.576724 |
| current smokers | 0.645059 |
| data collection methods | 0.608374 |
| smoking status | 0.61354 |
| Twin Cities | 0.589839 |
| tobacco addiction | 0.573257 |
| Comprehensive tobacco prevention | 0.570244 |
| Cities American Indians | 0.595645 |
| Indian Adult Tobacco | 0.628702 |
| various smoking cessation | 0.649752 |
| ceremonial tobacco | 0.610152 |
| American Indian residents | 0.585213 |
| American Indians | 0.968292 |
| Minnesota Institutional Review | 0.564658 |
| public health practice | 0.570581 |
| Minnesota population estimate | 0.568401 |
| respondent-driven sampling methods | 0.588515 |
| ramsey counties | 0.649054 |
| self-reported smoking status | 0.598342 |
| Behavioral Risk Factor | 0.577899 |
| culturally inappropriate data | 0.609633 |
| smoking prevalence | 0.808136 |
|
| inappropriate data collection | 0.606142 |
| current smoking prevalence | 0.638743 |
| Hennepin County residents | 0.600786 |
| nonceremonial tobacco | 0.705237 |
| smoking cessation aids | 0.650377 |
| general population | 0.598644 |
| American Indian Adult | 0.622326 |
| prevalence estimates | 0.565738 |
| cigarette smoking | 0.769607 |
| Minnesota American Indian | 0.587516 |
| small sample size | 0.602913 |
| Adult Tobacco Survey | 0.777464 |
| public health | 0.619413 |
| participants | 0.583458 |
| smoking cessation aid | 0.604862 |
| American Indian interviewers | 0.581435 |
| eligible participants | 0.564864 |
| secondhand smoke exposure | 0.811798 |
| American Indian health | 0.586548 |
| adult smoking | 0.579876 |
| cigarette smoking prevalence | 0.732665 |
| Indian Health Service | 0.568154 |
| public health problem | 0.566959 |
| various quit smoking | 0.608882 |
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Vital Signs: Deficiencies in Environmental ControlIdentified in Outbreaks of Legionnaires' Disease - North America,2000-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.537329 |
| maintenance deficiencies | 0.520859 |
| equipment failures | 0.596352 |
| land-based outbreaks | 0.527537 |
| median outbreak case | 0.5482 |
| potable water outbreaks | 0.665363 |
| disease outbreak investigations | 0.612751 |
| potable water–associated outbreaks | 0.56166 |
| frequent outbreak settings | 0.523398 |
| water | 0.941164 |
| travel-associated outbreaks | 0.588943 |
| cruise ship outbreaks | 0.531666 |
| unmanaged external changes | 0.735296 |
| building water | 0.597011 |
| case fatality rate | 0.575454 |
| Legionella growth | 0.707374 |
| building water systems | 0.579424 |
| outbreaks | 0.951805 |
| hot tubs | 0.559317 |
| process failures | 0.594035 |
| United States | 0.593411 |
| CDC Legionnaires | 0.53134 |
| Legionnaires | 0.826401 |
| chronic lung disease | 0.528025 |
| Legionella | 0.736027 |
|
| disease outbreaks | 0.639174 |
| legionellosis outbreaks | 0.53532 |
| water disinfectant levels | 0.516008 |
| potable water | 0.706331 |
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| manmade water systems | 0.539639 |
| future outbreaks | 0.520818 |
| disease | 0.783691 |
| cases | 0.678332 |
| long-term care facilities | 0.670043 |
| bacterium Legionella | 0.519154 |
| cruise ships | 0.514413 |
| water management programs | 0.848276 |
| potable water quality | 0.53549 |
| Legionella water management | 0.538371 |
| health care–associated outbreaks | 0.543297 |
| complex water systems | 0.578928 |
| unrecognized outbreaks | 0.523799 |
| water systems | 0.843032 |
| tower outbreaks | 0.540374 |
| disease cases | 0.526132 |
| current outbreaks | 0.521471 |
| outbreak case fatality | 0.602411 |
| human errors | 0.602168 |
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