| 1332 |
Centers for Disease Control and Prevention |
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NER - Peer-Reviewed Biomonitoring Articles |
Xia Y, Bernert JT, Jain RB, Ashley DL, Pirkle JL. Tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) in smokers in the united states: NHANES 2007–2008. Biomarkers. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5336 |
Centers for Disease Control and Prevention |
Html |
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Emergency Food Supplies |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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| 6592 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - January 13, 2012 |
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. |
| provisional 4-week totals | 0.796315 |
| Mortality Tables | 0.47685 |
| equine encephalitis virus | 0.622523 |
| Mortality Weekly Report | 0.478357 |
| Viral hemorrhagic fever¶¶¶ | 0.460646 |
| provisional cases | 0.760634 |
| Hantavirus pulmonary syndrome§ | 0.463384 |
| Staphylococcus aureus§ | 0.461163 |
| acute hepatitis | 0.499574 |
| 2011-12 influenza season | 0.478351 |
| noncholera Vibrio species | 0.459822 |
| influenza A virus | 0.486376 |
| National Center | 0.583662 |
| CDC Home CDC | 0.488096 |
| Hemolytic uremic syndrome | 0.465353 |
| California serogroup virus | 0.510073 |
| meningococcal disease | 0.544357 |
| historical data | 0.54314 |
| Influenza Division | 0.459455 |
| Ñ?ЛП
Notifiable Diseases | 0.55373 |
| Cumulative year-to-date counts | 0.457211 |
| 2009 pandemic | 0.513496 |
| NN | 0.452465 |
| United States | 0.95501 |
|
| Vancomycin-resistant Staphylococcus aureus§ | 0.457142 |
| novel influenza | 0.551894 |
| I. Provisional cases | 0.542612 |
| 5-year weekly average†| 0.48572 |
| notifiable diseases | 0.855922 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.456368 |
| Eastern equine encephalitis | 0.477491 |
| pandemic influenza | 0.524002 |
| measles cases | 0.460761 |
| Influenza-associated pediatric mortality§ | 0.456873 |
| current 4-week period | 0.499491 |
| table | 0.48218 |
| New York | 0.459605 |
| Table II Â Â Provisional | 0.452737 |
| Western equine encephalitis | 0.476805 |
| Polio virus Infection | 0.470122 |
| notifiable disease reports | 0.768555 |
| current 4-week total | 0.498832 |
| Vector-Borne Infectious Diseases | 0.465101 |
| TABLE I. | 0.481501 |
| dengue hemorrhagic fever | 0.452984 |
| subsequent 4-week periods | 0.48141 |
| West Nile virus | 0.465569 |
| Table IV Â Â Provisional | 0.452396 |
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| 7283 |
Centers for Disease Control and Prevention |
Html |
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CDC Telebriefing: Influenza A (H3N2) Variant Virus - Friday, August 3, 2012 |
CDC Weight of the Nation Press Briefing
November 10, 2011, Noon E.T. |
| pandemic H1N1 virus | 0.497181 |
| swine virus | 0.572893 |
| numbers. Dr. Bresee | 0.490483 |
| H1N1 pandemic virus | 0.492983 |
| pigs | 0.511395 |
| novel influenza viruses | 0.505433 |
| CNN Medical News | 0.477202 |
| H3N2v virus | 0.502639 |
| joe bresee | 0.938128 |
| close contact | 0.501015 |
| influenza A virus | 0.514282 |
| seasonal influenza virus | 0.536778 |
| LISA FERGUSON | 0.610433 |
| H3N2 variant viruses | 0.486865 |
| mike stobbe | 0.49912 |
| seasonal flu | 0.483026 |
| early pandemic virus | 0.501625 |
| variant virus infections | 0.51805 |
| variant virus vaccine | 0.522627 |
| good question. | 0.505707 |
| influenza viruses | 0.645907 |
| b-r-e-s-e-e. Dr. Bresee | 0.499999 |
| human influenza viruses | 0.509845 |
| TOM SKINNER | 0.822115 |
| rob stein | 0.487472 |
|
| H3N2 variant virus | 0.62666 |
| variant virus infection | 0.537254 |
| virus | 0.850889 |
| Dr. Bresee | 0.703581 |
| variant influenza viruses | 0.512678 |
| pandemic H1 virus | 0.501387 |
| Seasonal influenza viruses | 0.497291 |
| variant viruses | 0.495519 |
| public health | 0.478186 |
| purposes animal viruses | 0.47507 |
| virus vaccine candidate | 0.503008 |
| cases | 0.670753 |
| question | 0.616385 |
| miriam falco | 0.563427 |
| flu viruses | 0.482521 |
| timothy martin | 0.520317 |
| human virus | 0.506645 |
| people | 0.4879 |
| Ohio. The virus | 0.492578 |
| Dr. Joseph Bresee | 0.500028 |
| previous swine viruses | 0.508338 |
| H3N2 virus infections | 0.519226 |
| seasonal virus | 0.510095 |
| humans | 0.543112 |
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Centers for Disease Control and Prevention |
Html |
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Fewer Americans having problems paying medical bills | CDC Online Newsroom | Press Release |
Fewer Americans having problems paying medical bills |
| CDC’s National | 0.515445 |
| private coverage | 0.562931 |
| adults | 0.447837 |
| findings | 0.422596 |
| medical bills | 0.953645 |
| percent | 0.689147 |
| 2011-June | 0.44653 |
| children | 0.448216 |
| percentage | 0.529229 |
| U.S. DEPARTMENT | 0.500413 |
| Early Release | 0.513522 |
| Center | 0.425045 |
| period | 0.423248 |
| bills. Medical bills | 0.644639 |
| dentists | 0.424317 |
|
| nursing home | 0.50457 |
| equipment | 0.422899 |
| medication | 0.423018 |
| therapists | 0.422747 |
| families | 0.556389 |
| age groups | 0.49921 |
| people | 0.448678 |
| Estimates | 0.424406 |
| Health Statistics | 0.511625 |
| home care | 0.504467 |
| doctors | 0.421846 |
| Health Interview Survey | 0.594119 |
| report | 0.479131 |
| HUMAN SERVICES | 0.500235 |
| problems | 0.622035 |
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| 9599 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Impact of New York City™s Health Bucks Program on Electronic Benefit Transfer Spending at Farmers Markets, 2006"2009 - CDC |
Increasing the accessibility and affordability of fresh produce is an important strategy for municipalities combatting obesity and related health conditions. |
| EBT data | 0.399407 |
| Supplemental Nutrition | 0.321878 |
| neighborhood poverty level | 0.304303 |
| daily EBT revenues | 0.380487 |
| Health Bucks markets | 0.354253 |
| low-income neighborhoods | 0.320155 |
| York City farmers | 0.339312 |
| financial incentives | 0.312277 |
| New York City | 0.782848 |
| EBT spending | 0.454294 |
| daily mean EBT | 0.356554 |
| electronic benefit transfer | 0.368906 |
| Bucks EBT incentive | 0.459543 |
| records EBT sales | 0.385378 |
| related EBT sales | 0.38071 |
| NYC farmers markets | 0.309787 |
| Human Resources Administration | 0.299893 |
| EBT sales | 0.826206 |
| study period | 0.297857 |
| EBT credits | 0.347406 |
| Two-dollar Health Bucks | 0.338277 |
| health bucks program | 0.553633 |
| Health Bucks coupons | 0.612701 |
| daily EBT revenue | 0.368331 |
|
| mean EBT market | 0.378215 |
| Health Bucks EBT | 0.478818 |
| farmers markets | 0.674985 |
| City farmers markets | 0.364892 |
| Public Health Nutr | 0.319386 |
| mean daily EBT | 0.388721 |
| Bucks coupons introduction | 0.303516 |
| average daily ebt | 0.58814 |
| Health Bucks incentives | 0.32038 |
| EBT terminals | 0.36256 |
| Health Bucks incentive | 0.414807 |
| daily EBT sales | 0.741479 |
| mean EBT sales | 0.430219 |
| per-market EBT sales | 0.379711 |
| EBT wireless terminals | 0.362849 |
| fresh produce | 0.382889 |
| higher daily EBT | 0.38405 |
| York City Department | 0.389447 |
| SNAP recipients | 0.38487 |
| Health Bucks | 0.940348 |
| required EBT terminals | 0.350032 |
| SNAP benefits | 0.368057 |
| EBT sales data | 0.484403 |
| ongoing farmers markets | 0.309461 |
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Centers for Disease Control and Prevention |
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US Food and Drug Administration, socioeconomic factors, smoking, commerce, policy |
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 | 0.517418 |
| black residents | 0.461218 |
| Tobacco Control Act | 0.549533 |
| labeling violations | 0.450802 |
| tobacco retailer compliance | 0.453327 |
| FDA inspections data | 0.457681 |
| self-service display violation | 0.471446 |
| regulated tobacco products | 0.500255 |
| tobacco | 0.69624 |
| recent FDA regulations | 0.445632 |
| neighborhood health disparities | 0.491094 |
| FDA retailer advertising | 0.462116 |
| neighborhoods | 0.497921 |
| mislabeled products | 0.45222 |
| labeling regulations | 0.463557 |
| labeling retailer violations | 0.47207 |
| labeling inspections | 0.568947 |
| violations | 0.536098 |
| particular neighborhood characteristics | 0.443254 |
| neighborhood disparities | 0.569803 |
| poverty line | 0.564623 |
| free samples | 0.487613 |
| tobacco products | 0.612704 |
| Nicotine Tob Res | 0.499458 |
| tobacco retailer regulations | 0.492108 |
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| Latino residents | 0.51205 |
| single-cigarette sales | 0.443168 |
| tobacco sales violation | 0.453899 |
| specific FDA advertising | 0.453595 |
| Family Smoking Prevention | 0.490054 |
| new FDA advertising | 0.443496 |
| point-of-sale tobacco advertising | 0.449011 |
| FDA | 0.527865 |
| United States | 0.472677 |
| retailer compliance | 0.457166 |
| single cigarettes | 0.915179 |
| FDA regulations | 0.454776 |
| neighborhood characteristics | 0.889177 |
| FDA retailer inspections | 0.480264 |
| FDA advertising | 0.501029 |
| self-service displays | 0.655414 |
| Latino residents increases | 0.468935 |
| tobacco retailers | 0.506002 |
| Federal Poverty Line | 0.4938 |
| Tob Control | 0.520468 |
| Tobacco retailer violations | 0.496302 |
| et al | 0.456153 |
| FDA inspections | 0.487577 |
| tobacco industry products | 0.463844 |
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Centers for Disease Control and Prevention |
Html |
en |
2006 Surgeon General's Report - Smoking & Tobacco Use |
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| Silver Telly awards | 0.749411 |
| fact sheets | 0.365893 |
| Tobacco Use Web | 0.374163 |
| recent information | 0.371493 |
| 10-minute video | 0.494245 |
| human face | 0.438607 |
|
| Gold Aurora | 0.392874 |
| regular basis | 0.368237 |
| public places | 0.422397 |
| smoke-free policies | 0.447083 |
| particular Surgeon General | 0.68252 |
| secondhand smoke | 0.907383 |
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| 14299 |
Centers for Disease Control and Prevention |
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en |
CDC Challenge Winners! | CDC Features |
On March 29, 2016 the Centers for Disease Control and Prevention (CDC) recognized 8 public and private healthcare practices and systems across the country as the 2015 HA-VTE Prevention Challenge Champions for their success in helping patients prevent healthcare-associated blood clots. |
| innovative HA-VTE prevention | 0.536348 |
| unique ambulation program | 0.509332 |
| risk assessment | 0.5122 |
| honorable mentions | 0.521888 |
| prevention activities | 0.484087 |
| U.S. federal entities | 0.49982 |
| recent hospitalization | 0.470932 |
| Sheppard Pratt Hospital | 0.508074 |
| Cincinnati Medical Center | 0.501744 |
| exceptional VTE prevention | 0.531209 |
| Rotunda Hospital | 0.467097 |
| care organizations | 0.513276 |
| Healthcare Network | 0.509787 |
| Disease Control | 0.467464 |
| visit HA-VTE Prevention | 0.531059 |
| health care professionals | 0.515109 |
| Challenge Champions range | 0.542054 |
| Medium Reach | 0.509725 |
| patients | 0.475979 |
| innovative prophylaxis-dosing protocol | 0.511554 |
| post-discharge monitoring program | 0.505171 |
| VTE prevention initiatives | 0.536881 |
| hospital networks | 0.518547 |
| Large Single Hospital | 0.516203 |
| public health issue | 0.527039 |
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| Prevention Challenge Champions | 0.745153 |
| Regional Medical Center | 0.504204 |
| United States | 0.460756 |
| appropriate prevention measures | 0.527346 |
| healthcare-associated blood clots | 0.652575 |
| private healthcare practices | 0.533551 |
| major decreases | 0.463881 |
| healthcare treatment | 0.476241 |
| Medical Center | 0.546317 |
| HA-VTE Prevention Challenge | 0.956097 |
| large healthcare systems | 0.52378 |
| Healthcare Research | 0.465094 |
| Large Reach | 0.508709 |
| Michigan Hospital Medicine | 0.510228 |
| VTE prevention strategies | 0.545214 |
| obstetric patients | 0.465667 |
| innovative strategies | 0.465688 |
| hospital trauma units | 0.514983 |
| healthcare organization | 0.460653 |
| Harborview Medical Center | 0.506534 |
| multi-hospital systems | 0.482988 |
| electronic risk assessment | 0.510642 |
| non-cash award recognition | 0.500622 |
| healthcare-associated venous thromboembolism | 0.527824 |
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Centers for Disease Control and Prevention |
Html |
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TB Guidelines by Topic |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| (TB) | 0.638881 |
| Basic TB Facts | 0.573107 |
| National TB Program | 0.510618 |
| United States | 0.20697 |
| TB Risk Factors | 0.56831 |
| TB Cohort Review | 0.531596 |
| Infection Control | 0.236657 |
| latent tb infection | 0.74251 |
| Stop TB | 0.577465 |
| TB Genotyping | 0.503887 |
| Search Form Controls | 0.224129 |
| Tuberculosis Laboratory Aggregate | 0.219952 |
| Community Stop TB | 0.556101 |
| Latent Tuberculosis Infection | 0.303427 |
| Molecular DR Testing | 0.209848 |
| Effective TB Interviewing | 0.531182 |
| TB Terms | 0.558212 |
| Webinars TB | 0.490837 |
| World TB | 0.556117 |
| TB Contact Investigation | 0.535221 |
| Toolkits TB eDOT | 0.532965 |
| U.S. TB Champions | 0.509169 |
| TB | TB | 0.932895 |
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| TB Prevention | 0.564815 |
| Detect Drug-Resistant TB | 0.564712 |
| Specific Populations | 0.218736 |
| TB Incidence | 0.518272 |
| XDR Mycobacterium tuberculosis | 0.223379 |
| Drug-Resistant TB | 0.746806 |
| Health Care Workers | 0.207274 |
| Research TB Epidemiologic | 0.565476 |
| Infectious TB | 0.490688 |
| TB Trials Consortium | 0.556929 |
| Tuberculosis Testing | 0.210639 |
| tb disease | 0.616236 |
| Latent TB Infection-Patient | 0.542123 |
| TB Day Resources | 0.49207 |
| TB Notes | 0.576786 |
| TB Programs | 0.522175 |
| Care Workers TB | 0.51707 |
| Treat Latent TB | 0.582627 |
| TB Treatment | 0.564937 |
| TB Control Programs | 0.52074 |
| Federal TB Task | 0.505824 |
| TB Background | 0.532655 |
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