| 900 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - MMWRs - 2014 - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| Tobacco Use Screening | 0.459754 |
| Increases | 0.236466 |
| Exposures | 0.235747 |
| United States | 0.971551 |
| Smokefree Home Rules | 0.565858 |
| Care Survey | 0.394287 |
| Current Cigarette Smoking | 0.840918 |
| Physician Office Visits | 0.555031 |
| Cessation Assistance | 0.437278 |
| Field | 0.229393 |
| Sales | 0.236037 |
| Smoking Cessation Interventions | 0.646954 |
| Electronic Nicotine Delivery | 0.60488 |
| Tobacco Tax Increase | 0.594384 |
| Persons | 0.231945 |
| Adults—United States | 0.583819 |
| Years—National Ambulatory Medical | 0.56211 |
| Poison Centers | 0.377417 |
| Practice Feedback | 0.392712 |
| School Students—United States | 0.606346 |
| Cigarette Prices | 0.415977 |
|
| Minors | 0.242246 |
| Notes | 0.229426 |
| High | 0.23315 |
| SS-4 | 0.232339 |
| State Medicaid Coverage | 0.52043 |
| Tobacco Cessation Treatments | 0.623811 |
| No. | 0.647399 |
| Smoking Prevalence | 0.434808 |
| Systems | 0.235914 |
| Middle | 0.233173 |
| Women—United States | 0.410025 |
| Youths—Argentina | 0.232827 |
| Electronic Cigarettes | 0.380177 |
| Lung Cancer Incidence | 0.528725 |
| Vol. | 0.676247 |
| Turkey | 0.229825 |
| Tobacco Product | 0.455177 |
| Barriers | 0.229394 |
| Records—New York City | 0.563529 |
| State Laws | 0.417195 |
| Community Health Centers | 0.560362 |
|
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| 4795 |
Centers for Disease Control and Prevention |
Html |
en |
November 5, 2010: Outbreak of Human E. coli O157 Infections Associated with Cheese Map | E. coli CDC |
FDA, CDC, and Costco warn consumers to avoid Bravo Farms Dutch Style Gouda cheese |
| CDC | 0.430861 |
| Human E. coli | 0.831861 |
| Dates | 0.42029 |
| hemolytic uremic syndrome | 0.641481 |
| content | 0.42283 |
| states | 0.421461 |
| number | 0.421139 |
| Thirty-eight persons | 0.541284 |
| illness onset range | 0.621314 |
| site navigation | 0.533217 |
| ill persons | 0.521013 |
| search box | 0.532699 |
| Cheese Map | 0.554288 |
|
| E. coli | 0.942396 |
| outbreak strain | 0.770683 |
| deaths | 0.425941 |
| CA | 0.420835 |
| Outbreak Investigations | 0.628965 |
| median age | 0.52393 |
| HUS | 0.431468 |
| O157 Infections Associated | 0.682254 |
| Skip | 0.430375 |
| AZ | 0.423839 |
| H7 Infections Associated | 0.74774 |
| Multistate Outbreak | 0.644953 |
| hospitalizations | 0.439372 |
|
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| 7252 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Tuberculosis Cluster Associated with Homelessness - Duval County, Florida, 2004-2012 |
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. |
| latent TB infection | 0.599373 |
| mental health facility | 0.279808 |
| immunodeficiency virus infection | 0.25182 |
| County Health Department | 0.4259 |
| County Health Dept | 0.399204 |
| TB Prevention.Emma Johns | 0.565818 |
| recent TB transmission | 0.605305 |
| Max Salfinger | 0.243012 |
| different homeless shelters | 0.289988 |
| TB evaluations | 0.522351 |
| electronic PDF version | 0.244203 |
| local jail | 0.257642 |
| active TB disease | 0.59416 |
| hard-to-reach populations | 0.269835 |
| Duval County Health | 0.744975 |
| TB screening | 0.613873 |
| County public health | 0.296118 |
| Viral Hepatitis | 0.24342 |
| TB patients | 0.745631 |
| County homeless services | 0.316011 |
| TB incidence | 0.516456 |
| CDC Experience Fellow | 0.260287 |
| social network analysis | 0.249495 |
| Long-term control measures | 0.242822 |
|
| common social risk | 0.254465 |
| original MMWR paper | 0.244681 |
| sputum smear-positive TB | 0.596602 |
| Duval County | 0.909471 |
| homeless shelters | 0.359149 |
| TB transmission | 0.799536 |
| epidemiologic links | 0.320325 |
| available electronic data | 0.255275 |
| potential ongoing TB | 0.620437 |
| matching genotype results | 0.304195 |
| Florida Department | 0.273279 |
| substance abuse | 0.259288 |
| infection control programs | 0.257885 |
| TB infection | 0.607909 |
| tb elimination | 0.686287 |
| ongoing TB transmission | 0.764964 |
| TB cases | 0.673663 |
| likely transmission sites | 0.26071 |
| genotyped cases | 0.257321 |
| TB | 0.95855 |
| TB education | 0.524113 |
| systematic TB screening | 0.592796 |
| control measures | 0.249336 |
| TB diagnosis | 0.638964 |
|
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| 7373 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Awareness and Treatment of Uncontrolled Hypertension Among Adults - United States, 2003-2010 |
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. |
| average diastolic blood | 0.385237 |
| uncontrolled hypertension | 0.905432 |
| health insurance | 0.442954 |
| health-care systems | 0.330019 |
| chi-square test | 0.308786 |
| mmHg | 0.292147 |
| systolic blood pressure | 0.381893 |
| Health Insurance Program | 0.258438 |
| diastolic blood pressure | 0.381847 |
| Unweighted sample size | 0.257794 |
| following racial/ethnic groups | 0.276292 |
| Nutrition Examination Survey | 0.268554 |
| hypertension awareness | 0.38738 |
| health insurance coverage | 0.282799 |
| blood pressure | 0.596723 |
| racial/ethnic groups | 0.292848 |
| average diastolic BP | 0.259968 |
| hypertension control | 0.579911 |
| hypertension prevalence | 0.363321 |
| income ratio | 0.25723 |
| usual source | 0.33427 |
| greater hypertension control | 0.374196 |
| SBP т‰Ѕ160 mmHg | 0.273154 |
| overall prevalence | 0.265709 |
|
| United States | 0.270409 |
| hospital emergency room | 0.259655 |
| health-care providers | 0.31534 |
| health information technology | 0.267552 |
| increased hypertension identification | 0.36459 |
| Current Population Survey | 0.286458 |
| awareness/treatment status | 0.273613 |
| Adequate hypertension treatment | 0.389848 |
| health care | 0.338463 |
| participants | 0.27753 |
| cardiovascular disease | 0.268605 |
| age-related hypertension | 0.348842 |
| Hypertension control rates | 0.371603 |
| U.S. adults | 0.367302 |
| high blood pressure/hypertension | 0.296521 |
| Indian Health Service | 0.269691 |
| single service plan | 0.256503 |
| average systolic blood | 0.385284 |
| appropriate hypertension diagnosis | 0.36531 |
| insurance status groups | 0.262497 |
| average systolic BP | 0.259985 |
| high blood pressure | 0.32985 |
| hypertension initiative | 0.348662 |
| hypertension medication | 0.36956 |
|
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| 7416 |
Centers for Disease Control and Prevention |
Html |
en |
FEMA-Provided Travel Trailer Study - Community Involvement |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 7451 |
Centers for Disease Control and Prevention |
Html |
en |
NCEH A to Z Index - # |
Resources for the National Center for Environmental Health |
| Microsoft PowerPoint file | 0.569111 |
| ePub file | 0.486584 |
| Audio/Video file | 0.471195 |
| Laboratory Sciences | 0.417681 |
| Email CDC-INFO | 0.418872 |
| Fact Sheets | 0.526684 |
| NCEH Budget Information | 0.672501 |
| Microsoft Word file | 0.572012 |
| Human Services | 0.421972 |
| Data Resources | 0.419107 |
| Environmental Health Services | 0.763919 |
| Clifton Road Atlanta | 0.507185 |
| Strategic Plan | 0.424824 |
| State Fact Sheets | 0.519839 |
| Microsoft Excel file | 0.566069 |
| National Center | 0.616654 |
| Tweet Share Compartir | 0.576323 |
| Environmental Health | 0.91549 |
| list Skip | 0.498277 |
| page options Skip | 0.623196 |
| Program Overviews | 0.421407 |
| different file formats | 0.569413 |
| Environmental Health Laboratory | 0.621252 |
| Apple Quicktime file | 0.559817 |
| Safe Water Programs | 0.517669 |
|
| Health Initiative | 0.46996 |
| CDC A-Z | 0.640121 |
| National Asthma Control | 0.531397 |
| RealPlayer file | 0.473942 |
| Adobe PDF file | 0.562475 |
| Health Effects | 0.470125 |
| Emergency Response | 0.421497 |
| Poisoning Prevention Program | 0.523782 |
| Environmental Public Health | 0.620354 |
| Environmental Health A-Z | 0.697738 |
| Search Form Controls | 0.79147 |
| Books/Booklets Healthy Housing | 0.511667 |
| Environmental Hazards | 0.455194 |
| A-Z Index | 0.728452 |
| National Report | 0.44158 |
| New York | 0.419452 |
| Human Exposure | 0.420656 |
| Search Controls | 0.57869 |
| Healthy Housing Inspection | 0.511251 |
| Environmental Chemicals | 0.468163 |
| Tracking Network | 0.417217 |
| Text file | 0.47495 |
| NCEH Press Room | 0.663582 |
| RIS file | 0.484074 |
|
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| 9163 |
Centers for Disease Control and Prevention |
Html |
en |
Key Findings: Prevalence of Down syndrome in the United States |
null |
| CDC | 0.467074 |
| Birth Defects | 0.474927 |
| findings | 0.436532 |
| Human Services | 0.470333 |
| actual number | 0.473347 |
| research | 0.429914 |
| health outcomes | 0.472579 |
| Disease Control | 0.474394 |
| children | 0.426514 |
| birth prevalence | 0.518329 |
| estimate | 0.513201 |
| shorter life expectancy | 0.551714 |
| Rasmussen SA | 0.476197 |
| McCabe ERB | 0.480348 |
| National Center | 0.477604 |
| new study | 0.489829 |
| researchers | 0.467236 |
| reliable estimate | 0.50351 |
| article | 0.435222 |
| life expectancy | 0.636704 |
| racial/ethnic disparities | 0.478239 |
| Previous studies | 0.479121 |
| improved estimate | 0.506864 |
| general US population | 0.476958 |
| death records | 0.488945 |
|
| Developmental Disabilities | 0.475901 |
| disease tracking | 0.470108 |
| United States | 0.982922 |
| policies | 0.434141 |
| occurrence | 0.427125 |
| death information | 0.475607 |
| prevalence | 0.596305 |
| Jensen KM | 0.47589 |
| syndrome impacts | 0.487918 |
| syndrome | 0.843504 |
| health services | 0.468695 |
| epub | 0.418655 |
| following webpages | 0.47176 |
| Devine OJ | 0.481005 |
| syndrome population prevalence | 0.581135 |
| Partyka | 0.419568 |
| families | 0.455569 |
| people | 0.691893 |
| Presson AP | 0.480661 |
| non-federal site | 0.477709 |
| important clues | 0.473545 |
| partners | 0.426525 |
| information | 0.543016 |
| time | 0.430909 |
|
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| 11196 |
Centers for Disease Control and Prevention |
Html |
en |
Escherichia coli O157:H7 Infections Linked to Ground Beef |May 2014 | E. coli |
null |
| outbreak strains | 0.451761 |
| Public health investigators | 0.453061 |
| School Lunch Program | 0.452992 |
| U.S. Department | 0.434644 |
| likely source | 0.37976 |
| E. coli,or STEC | 0.407555 |
| toxin-producing Escherichia coli | 0.472001 |
| STEC bacteria | 0.37138 |
| STEC serogroup | 0.373607 |
| ill persons | 0.931286 |
| traceback investigations | 0.467951 |
| Wolverine Packing Company | 0.760406 |
| diagnostic testing | 0.391371 |
| median age | 0.431602 |
| Packing Nos | 0.383481 |
| multiple traceback investigations | 0.444548 |
| Food Safety | 0.387207 |
| public health partners | 0.374308 |
| public health officials | 0.449254 |
| Escherichia coli O157 | 0.469709 |
| Fifty-eight percent | 0.388211 |
| pulsed-field gel electrophoresis | 0.463837 |
| National School Lunch | 0.449157 |
| national subtyping network | 0.463129 |
| catalog/internet sales | 0.385353 |
|
| multistate outbreak | 0.41001 |
| regulatory agency laboratories | 0.458286 |
| ground beef | 0.792051 |
| food regulatory agency | 0.455898 |
| hemolytic uremic syndrome | 0.469044 |
| production date code | 0.453087 |
| establishment number | 0.429287 |
| public health | 0.73266 |
| E. coli | 0.594773 |
| MM DD | 0.385361 |
| H7 infections | 0.413076 |
| additional ill person | 0.433942 |
| CDC E. coli | 0.394944 |
| Michigan firm | 0.381359 |
| H7 | 0.470865 |
| USDA mark | 0.383801 |
| available information | 0.496636 |
| STEC O157 | 0.660149 |
| federal public health | 0.443879 |
| additional ill persons | 0.440116 |
| EST. 2574B | 0.391386 |
| regulatory agencies | 0.381629 |
| food recall effectiveness | 0.374869 |
| Shiga toxin-producing Escherichia | 0.466379 |
|
CLICK HERE |
| 11224 |
Centers for Disease Control and Prevention |
Html |
es |
¿Qué es el cáncer de próstata? |
El cáncer es una enfermedad en la cual las células del cuerpo comienzan a multiplicarse sin control. Cuando el cáncer se origina en la próstata, se denomina cáncer de próstata. |
| Archivo Apple Quicktime | 0.700956 |
| aparato reproductor masculino | 0.716344 |
| Archivo Zip Comprimido | 0.69659 |
| hiperplasia prostática benigna | 0.723906 |
|
| Archivo Microsoft PowerPoint | 0.717141 |
| Archivo Microsoft Excel | 0.704798 |
| Archivo Adobe PDF | 0.68781 |
| Archivo Microsoft | 0.966261 |
|
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| 14014 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Drug and Opioid Overdose Deaths - UnitedStates, 2000-2014 |
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. |
| opioid drug overdose | 0.358829 |
| opioid abuse | 0.264725 |
| illicit opioids | 0.282198 |
| synthetic opioids | 0.37103 |
| prescription opioids | 0.278677 |
| age-adjusted rate | 0.262338 |
| semisynthetic opioids | 0.314143 |
| opioid pain relievers | 0.398988 |
| semisynthetic opioid pain | 0.28153 |
| age-specific death rates | 0.236916 |
| prescription opioid pain | 0.277191 |
| age-adjusted drug overdose | 0.300406 |
| synthetic opioid deaths | 0.355149 |
| fentanyl-related deaths | 0.262962 |
| persons | 0.243876 |
| death certificate | 0.241739 |
| prescription fentanyl | 0.24058 |
| opioid overdose deaths | 0.452207 |
| illicit fentanyl seizures | 0.255038 |
| illicitly manufactured fentanyl | 0.250714 |
| United States | 0.338553 |
| heroin overdose deaths | 0.34719 |
| drug overdoses | 0.252164 |
| prescription synthetic opioids | 0.273576 |
| opioid overdose epidemic | 0.365637 |
|
| pain reliever deaths | 0.2886 |
| overdose death rates | 0.343782 |
| prescription pain relievers | 0.237449 |
| opioid overdoses | 0.293896 |
| drug seizure data | 0.237143 |
| non-Hispanic blacks | 0.236523 |
| illicit opioid overdose | 0.339348 |
| heroin initiation | 0.237745 |
| heroin deaths | 0.302786 |
| non-Hispanic whites | 0.236009 |
| drug overdose deaths | 0.917415 |
| Heroin overdose death | 0.314876 |
| drug overdose death | 0.363809 |
| illicit opioid overdoses | 0.281243 |
| illicit fentanyl | 0.324276 |
| increase | 0.247958 |
| opioid use disorders | 0.26507 |
| illicit fentanyl-associated deaths | 0.284746 |
| specific drugs | 0.250327 |
| multiple cause-of-death mortality | 0.262018 |
| opioid type | 0.259901 |
| opioid pain reliever | 0.303136 |
| drug overdose deaths.* | 0.302126 |
| Age-adjusted death rates | 0.23736 |
|
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