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Salmonella and Chicken: What You Should Know and What You Can Do | CDC Features |
Autumn is a popular season for sporting events, and whether you are tailgating or channel surfing, chances are that barbeque chicken and spicy wings will make an appearance. Learn how to protect yourself from Salmonella. |
| Salmonella | 0.424863 |
| CDC | 0.420319 |
| foods | 0.465625 |
| food thermometer | 0.496046 |
| tips | 0.420156 |
| raw juices | 0.508733 |
| pregnant women | 0.49677 |
| children | 0.418278 |
| immune systems | 0.496846 |
| loved ones | 0.502272 |
| shopping cart | 0.497254 |
| beverages | 0.420623 |
| surface | 0.418587 |
| Americans | 0.42097 |
| leftover chicken | 0.674136 |
| raw chicken | 0.980314 |
| microwavable meals | 0.494447 |
| foodborne illness | 0.50728 |
| following signs | 0.493149 |
| special care | 0.506205 |
| utensils | 0.447939 |
| refrigerator | 0.422233 |
| countertops | 0.447085 |
| Clostridium | 0.425776 |
| nutritious choice | 0.51681 |
|
| chicken | 0.996648 |
| harmful germs | 0.510953 |
| warm soapy water | 0.597621 |
| chicken juices | 0.690618 |
| separate cutting board | 0.57088 |
| safe internal temperature | 0.570357 |
| Wash hands | 0.506615 |
| Campylobacter bacteria | 0.520062 |
| cooking | 0.466337 |
| kitchen | 0.418961 |
| food poisoning | 0.782916 |
| Wash cutting boards | 0.576661 |
| poultry | 0.418851 |
| fresh produce | 0.494148 |
| restaurant | 0.418347 |
| soapy water | 0.618516 |
| health | 0.43623 |
| dishes | 0.41953 |
| menu | 0.420176 |
| people | 0.439989 |
| Place chicken | 0.685525 |
| meat | 0.420787 |
| disposable bag | 0.502338 |
| undercooked chicken | 0.712649 |
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B Virus | Risk for Infection | Herpes B | CDC |
Persons at greatest risk for B virus infection are veterinarians, laboratory workers, and others who have close contact with Old World macaques or monkey cell cultures. |
| infection | 0.713804 |
| Clinical Infectious Diseases | 0.617056 |
| CDC | 0.243617 |
| laboratory workers | 0.479231 |
| latent state | 0.485843 |
| scratches | 0.271072 |
| reactivation | 0.279047 |
| tissue | 0.24332 |
| latent infection | 0.652278 |
| primate center | 0.466717 |
| Prevention section | 0.433039 |
| virus | 0.76889 |
| eyes | 0.24293 |
| newer antiviral agents | 0.637954 |
| example | 0.238379 |
| veterinarians | 0.249109 |
| evaluation | 0.238104 |
| updates previous recommendations | 0.63423 |
| mucosal surfaces | 0.510991 |
| indirect contact | 0.47379 |
| Persons | 0.246038 |
| Old World macaques | 0.975241 |
|
| close contact | 0.476801 |
| needlestick injury | 0.453955 |
| animals | 0.239708 |
| biologic material | 0.459298 |
| monkey cell cultures | 0.727792 |
| post-exposure prophylaxis | 0.48386 |
| secretions | 0.27889 |
| case | 0.238351 |
| group | 0.274786 |
| nose | 0.251791 |
| tissues | 0.256572 |
| greatest risk | 0.47298 |
| animal bites | 0.47989 |
| adulthood | 0.26068 |
| Human infection | 0.621959 |
| mouth | 0.250125 |
| infected body fluid | 0.703838 |
| response | 0.238398 |
| Cercopithecine Herpesvirus | 0.454309 |
| Transmission section | 0.420404 |
| active viral shedding | 0.677697 |
| time | 0.24104 |
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Importation and Containment of Ebola Virus Disease -Senegal, August-September 2014 |
On September 30, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Institut Pasteur Dakar | 0.709004 |
| Ebola treatment unit | 0.78238 |
| University Hospital Fann | 0.966933 |
| recent travel | 0.555176 |
| West African country | 0.540712 |
| Red Cross Society | 0.544325 |
| MMWR Early Release | 0.568591 |
| anticipated imported cases | 0.56065 |
| tertiary care hospital | 0.574832 |
| health screening | 0.551531 |
| Health Organization | 0.618787 |
| World Health Organization | 0.590969 |
| Papa Amadou Diack | 0.567493 |
| Global Health | 0.559718 |
| Kelsey Mirkovic | 0.562232 |
| health care staff | 0.623068 |
| Ebola patients | 0.699575 |
| unrelated suspected cases | 0.548973 |
| Ebola | 0.954485 |
| resistant health care | 0.610298 |
| transcriptase–polymerase chain reaction | 0.550047 |
| Ebola virus disease | 0.804443 |
| Household member contacts | 0.562986 |
| Ebola health care | 0.810547 |
| in-person temperature monitoring | 0.550634 |
|
| public health staff | 0.629363 |
| infection control | 0.550864 |
| Sierra Leone | 0.550145 |
| Ebola cases | 0.757646 |
| Ebola importation | 0.751276 |
| health personnel | 0.636201 |
| possible Ebola importation | 0.743791 |
| neighborhood health post | 0.606103 |
| health care workers | 0.621495 |
| incident command structure | 0.661558 |
| health care | 0.863147 |
| Red Cross volunteers | 0.791635 |
| care worker contacts | 0.788054 |
| health care worker | 0.808426 |
| rapid Ebola identification | 0.722241 |
| 8World Health Organization | 0.58915 |
| 7World Health Organization | 0.589315 |
| current Ebola epidemic | 0.736005 |
| Ebola patient | 0.710356 |
| public health personnel | 0.6349 |
| Senegal Ministry | 0.723245 |
| West Africa | 0.597108 |
| 21-day monitoring period | 0.569991 |
| laboratory testing | 0.55345 |
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CDC update on first Ebola case diagnosed in the United States: 10-04-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Synaptic Digital/Tom Harkin | 0.682142 |
| CDC | 0.670672 |
| Non-Media | 0.356399 |
| Tom Frieden | 0.53504 |
| telebriefing | 0.36277 |
| DL Freq | 0.514219 |
| Press Room | 0.505629 |
| Saturday | 0.372072 |
| Clifton Road NE | 0.656544 |
| Disease Control | 0.693904 |
| EDT | 0.350626 |
| Global Communications Center | 0.861493 |
| RSVP | 0.382887 |
| Important Instructions | 0.482907 |
| CDC Media | 0.604182 |
| touchtone phone | 0.487931 |
| ET | 0.367961 |
| Texas Department | 0.496579 |
| HUMAN SERVICES | 0.471015 |
| press conference | 0.483002 |
| media briefing | 0.525263 |
| David Lakey | 0.542932 |
| Clay Lewis Jenkins | 0.6604 |
| KU-Band | 0.352218 |
|
| Centers | 0.365562 |
| 720p | 0.352421 |
| Dallas County | 0.500318 |
| United States | 0.514274 |
| State Health Services | 0.663648 |
| Satellite feed service | 0.619002 |
| Prevention | 0.365449 |
| Ebola case | 0.550051 |
| transcript | 0.411512 |
| press office | 0.500749 |
| contact CDC | 0.613504 |
| U.S. DEPARTMENT | 0.471342 |
| PASSCODE | 0.352634 |
| M.P.H | 0.354079 |
| Tom Harkin Global | 0.698361 |
| question | 0.395732 |
| FEC | 0.348639 |
| Harkin Global Communications | 0.911088 |
| Commissioner | 0.335895 |
| Reporters | 0.369322 |
| Ebola Virus | 0.502992 |
| visit http://www.cdc.gov/museum/visitor.htm | 0.480329 |
| investigation | 0.334877 |
| time | 0.359263 |
|
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Notice to Readers: Updated 'N' Indicators for the NationalNotifiable Diseases Surveillance System for 2014-2015 |
CDC's National Notifiable Diseases Surveillance System (NNDSS) maintains and annually updates information about which Nationally Notifiable Infectious Conditions (NNICs) are considered "reportable" (i.e., by health care providers, hospitals, laboratories, or other public health reporters) in each of the different reporting jurisdictions. |
| Mortality Tables | 0.423855 |
| weekly provisional tables | 0.448128 |
| different reporting jurisdictions | 0.437874 |
| provisional MMWR Notifiable | 0.627138 |
| United States | 0.414975 |
| original MMWR paper | 0.392037 |
| U.S. Government Printing | 0.361947 |
| Human Services | 0.394316 |
| Resources tab | 0.253012 |
| National Notifiable Diseases | 0.617026 |
| MMWR HTML versions | 0.398598 |
| U.S. Department | 0.389561 |
| MMWR readers | 0.282471 |
| character translation | 0.244605 |
| public health reporters | 0.43677 |
| Assessment results | 0.256916 |
| electronic PDF version | 0.362608 |
| Notifiable Diseases | 0.958997 |
| reportable disease status | 0.527297 |
|
| health care providers | 0.442792 |
| format errors | 0.246316 |
| dash symbol | 0.277158 |
| Contact GPO | 0.278762 |
| typeset documents | 0.253251 |
| Notifiable Infectious Conditions | 0.596047 |
| Health Informatics | 0.271468 |
| trade names | 0.253201 |
| commercial sources | 0.253092 |
| provisional NNDSS data | 0.473488 |
| official text | 0.242634 |
| NNDSS staff | 0.281224 |
| current prices | 0.246175 |
| non-CDC sites | 0.250972 |
| MMWR Notifiable Diseases | 0.819676 |
| original paper copy | 0.35675 |
| weekly MMWR Notifiable | 0.59631 |
| annual MMWR Summary | 0.436579 |
| electronic conversions | 0.242296 |
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Using Concept Mapping to Develop a Strategy for Self-Management Support for Underserved Populations Living With Chronic Conditions, British Columbia, August 2013–June 2014 |
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. |
| health care provider | 0.528278 |
| SMS initiatives | 0.44962 |
| health equity | 0.508147 |
| chronic condition inequities | 0.449997 |
| shift government policy | 0.471735 |
| research team | 0.439009 |
| public health approaches | 0.456033 |
| strategic directions | 0.542847 |
| Health Authority | 0.463247 |
| chronic condition management | 0.556782 |
| concept mapping software | 0.55192 |
| chronic condition | 0.587328 |
| British Columbia | 0.92994 |
| ideas | 0.847203 |
| underserved populations | 0.474142 |
| incorporate client support | 0.479137 |
| public health dialogue | 0.514161 |
| SMS strategy | 0.558825 |
| SMS | 0.699712 |
| health care organizations | 0.445532 |
| populations | 0.691562 |
| health authorities | 0.526295 |
| enhance health care | 0.466626 |
| tailor SMS programs | 0.441084 |
| public health strategy | 0.478272 |
|
| client support systems | 0.486868 |
| self-management support | 0.656406 |
| Vancouver Native Health | 0.491215 |
| Providence Health Care | 0.438292 |
| health care | 0.778785 |
| public health | 0.620994 |
| clusters | 0.472339 |
| participants | 0.680448 |
| care provider training | 0.48556 |
| worse health care | 0.459178 |
| health care systems | 0.507789 |
| chronically ill populations | 0.475804 |
| medical practices | 0.451654 |
| concept mapping | 0.772259 |
| feasibility rating data | 0.46195 |
| Native Health Society | 0.492353 |
| Concept Systems | 0.507863 |
| point cluster map | 0.438029 |
| chronic conditions | 0.794337 |
| online survey | 0.475145 |
| Aboriginal populations | 0.452077 |
| numerous cluster maps | 0.444766 |
| cluster names | 0.543403 |
| nongovernment organizations | 0.489267 |
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What Every Young Woman Needs to Know About Hereditary Breast and Ovarian Cancer |
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Prevalence of Cholesterol Treatment Eligibility andMedication Use Among Adults - United States, 2005-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| medication bottles | 0.412854 |
| major risk factor | 0.376371 |
| eligibility criteria | 0.371258 |
| low-density lipoprotein cholesterol | 0.443804 |
| fasting laboratory | 0.370869 |
| myocardial infarction | 0.37005 |
| public health practitioners | 0.427002 |
| Ariadne K. DeSimone | 0.372328 |
| significant differences | 0.41761 |
| atherosclerotic cardiovascular disease | 0.378738 |
| total cholesterol | 0.398005 |
| high cholesterol foods | 0.426998 |
| ASCVD risk | 0.398038 |
| high blood level | 0.373019 |
| prescription medication interview.†| 0.442759 |
| high cholesterol | 0.435687 |
| prescription medication questionnaire | 0.426598 |
| high-density lipoprotein cholesterol | 0.428076 |
| lower your cholesterol | 0.398742 |
| Current cholesterol-lowering medication | 0.55065 |
| complete cholesterol management | 0.445212 |
| prescription medication file | 0.428544 |
| public health | 0.449643 |
| cardiovascular disease | 0.392831 |
|
| racial/ethnic groups | 0.384039 |
| Million Hearts initiative | 0.396719 |
| Carla Mercado | 0.371719 |
| current eligibility guidelines | 0.377828 |
| cholesterol treatment guidelines | 0.472198 |
| U.S. adults | 0.438782 |
| cholesterol treatment | 0.696699 |
| electronic health records | 0.369529 |
| NHANES cycles | 0.392613 |
| recent national guidelines | 0.384168 |
| lifestyle modifications | 0.735736 |
| blood cholesterol | 0.387632 |
| 10-year ASCVD risk | 0.37529 |
| persons | 0.405351 |
| racial/ethnic disparities | 0.37874 |
| disease management programs | 0.426435 |
| cholesterol-lowering medication | 0.964343 |
| lifestyle modification questions | 0.374348 |
| cholesterol-lowering medications | 0.514272 |
| coronary heart disease | 0.422767 |
| ACC/AHA guidelines | 0.605959 |
| LDL cholesterol | 0.409054 |
| prescription medication | 0.470646 |
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PRAMS and Influenza Vaccination Data Tables |
Influenza Vaccination Among Women with a Recent Live Birth, Pregnancy Risk Assessment Monitoring Systems (PRAMS), 2009-10 Influenza Season - CDC |
| recent pregnancy | 0.525928 |
| half | 0.497793 |
| Prevalence | 0.432719 |
| Page | 0.444373 |
| Infants | 0.426453 |
| complex survey design | 0.866214 |
| states | 0.421822 |
| Pregnancy Risk Assessment | 0.641579 |
| socio-demographic characteristics | 0.564379 |
| nurse | 0.422388 |
| Children | 0.421156 |
| recent live birth-Pregnancy | 0.681203 |
| coverage | 0.425003 |
| influenza season | 0.75225 |
| health care worker | 0.638607 |
|
| Table | 0.449205 |
| Program | 0.421241 |
| question | 0.420929 |
| State-specific influenza vaccination | 0.856037 |
| Special Supplemental Nutrition | 0.649271 |
| New York city | 0.648881 |
| seasonal flu | 0.533966 |
| WIC | 0.439041 |
| *Vaccination | 0.42335 |
| Participant | 0.430349 |
| confidence interval | 0.947758 |
| Risk Assessment Monitoring | 0.903242 |
| confidence intervals | 0.779479 |
| sample sizes | 0.663583 |
| recent live birth | 0.646922 |
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A Novel Strategy to Increase Identification of African-BornPeople With Chronic Hepatitis B Virus Infection in the ChicagoMetropolitan Area, 2012-2014 |
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. |
| African-born people | 0.681264 |
| HBV testing program | 0.517054 |
| United States | 0.781809 |
| hepatitis B virus | 0.503761 |
| Heartland Health Centers | 0.49268 |
| Asian Health Coalition | 0.491527 |
| African-born community members | 0.485435 |
| institutional review board | 0.470093 |
| health insurance status | 0.508474 |
| African-born participants | 0.508458 |
| at-risk African-born people | 0.494846 |
| Chicago metropolitan area | 0.526904 |
| HBV testing | 0.558415 |
| health care clinics | 0.47681 |
| equally high prevalence | 0.482349 |
| HBV infection immigrate | 0.554789 |
| health care | 0.539331 |
| public health | 0.504285 |
| past infection | 0.50115 |
| participants | 0.52699 |
| health care organization | 0.476778 |
| health promotion programs | 0.501228 |
| bilingual community health | 0.478724 |
|
| health care services | 0.473105 |
| nonclinical settings | 0.531397 |
| health clinic | 0.48227 |
| health care practices | 0.47806 |
| community-based health clinics | 0.473297 |
| African immigrants | 0.528581 |
| comprehensive health assessment | 0.470773 |
| Public health reports | 0.472322 |
| hepatitis | 0.516728 |
| natural social networks | 0.47427 |
| HBV screening | 0.520236 |
| chronic HBV infection | 0.777784 |
| hard-to-reach participants | 0.479314 |
| hepatitis B surface | 0.477755 |
| HBV infection status | 0.580168 |
| HBV testing protocol | 0.512754 |
| local health care | 0.475327 |
| HBV infection | 0.917298 |
| community health workers | 0.661635 |
| clinical settings | 0.471919 |
| chain referral | 0.59287 |
| community health center | 0.471177 |
| public health management | 0.471566 |
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