| 919 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza-Associated Intensive-Care Unit Admissions andDeaths - California, September 29, 2013-January 18, 2014 |
Patrick Ayscue, DVM, PhD1,2, Erin Murray, PhD2, Timothy Uyeki, MD3, Jennifer Zipprich, PhD2, Kathleen Harriman, PhD2, Catheryn Salibay, MPH2, Monica Kang2, Annie Luu2, Rose Glenn-Finer2, James Watt, MD2, Carol Glaser, DVM, MD2, Janice Louie, MD2 (Author affiliations at end of text). |
| fatal cases | 0.594895 |
| fatal influenza cases | 0.527657 |
| symptom onset | 0.497733 |
| severe influenza infections | 0.342729 |
| severe influenza | 0.757052 |
| previous recent influenza | 0.316891 |
| Pediatric influenza deaths | 0.305007 |
| positive influenza test | 0.353153 |
| local health jurisdictions | 0.267401 |
| influenza A virus | 0.308581 |
| severe influenza illness | 0.40232 |
| influenza activity | 0.29404 |
| severe influenza cases | 0.376743 |
| patients | 0.347476 |
| predominant circulating influenza | 0.350269 |
| influenza vaccination status | 0.338064 |
| severe cases | 0.546232 |
| medical conditions | 0.261297 |
| severe influenza complications | 0.355234 |
| 2009 pandemic | 0.325054 |
| fatal illness | 0.328384 |
| severe influenza illnesses | 0.391622 |
| ICU admission | 0.250458 |
| influenza | 0.910715 |
|
| influenza diagnostic test | 0.302544 |
| influenza diagnostic tests§ | 0.326814 |
| influenza virus infection | 0.446389 |
| previous influenza seasons | 0.32951 |
| novel influenza strain | 0.303446 |
| seasonal influenza vaccine | 0.459794 |
| CDPH influenza data | 0.349224 |
| pH1N1 virus | 0.267117 |
| laboratory-confirmed influenza | 0.32099 |
| influenza season | 0.575296 |
| cases | 0.596826 |
| influenza vaccination | 0.404441 |
| influenza complications | 0.434563 |
| influenza seasons | 0.404621 |
| antiviral treatment | 0.356836 |
| influenza infections | 0.347755 |
| influenza viruses | 0.325036 |
| influenza B virus | 0.308486 |
| (http://www.cdc.gov/flu/professionals/antivirals/summary-clinicians.htm). | 0.287093 |
| 2009 influenza pandemic | 0.361172 |
| rapid influenza | 0.405921 |
| severe influenza reporting | 0.34464 |
| ICU cases | 0.593948 |
| influenza diagnostic tests | 0.383333 |
|
CLICK HERE |
| 5063 |
Centers for Disease Control and Prevention |
Html |
en |
Down Syndrome Cases at Birth Increased | CDC Features |
Down Syndrome Cases at Birth Increased. The total number of cases at birth in the US increased by 24.2% from 1979-1983 to 1999-2003 in 10 regions. |
| Pediatrics | 0.426335 |
| younger mothers | 0.527813 |
| regions | 0.54621 |
| Hispanic individuals | 0.509903 |
| United States | 0.738436 |
| lowest prevalence | 0.64395 |
| age group | 0.642483 |
| highest prevalence | 0.633857 |
| 16-19 year olds | 0.537088 |
| percent | 0.43068 |
| Arkansas | 0.428966 |
| Utah | 0.42891 |
| DS | 0.790812 |
| prevalence | 0.917744 |
| 0-3 year olds | 0.538221 |
| times | 0.427214 |
| children | 0.514388 |
| syndrome | 0.457531 |
| birth prevalence | 0.663634 |
| olds | 0.541276 |
|
| total number | 0.535789 |
| race/ethnic groups | 0.525216 |
| female children | 0.505338 |
| cases | 0.429551 |
| disease | 0.429527 |
| infants | 0.427257 |
| adolescents | 0.533122 |
| Non-Hispanic white individuals | 0.637702 |
| Non-Hispanic black individuals | 0.640235 |
| Ages | 0.503689 |
| specific time | 0.543129 |
| major congenital heart | 0.810195 |
| population | 0.427187 |
| older mothers | 0.526429 |
| live births | 0.54773 |
| Congenital Heart Defects | 0.59783 |
| major CHDs | 0.533906 |
| Data Source | 0.519173 |
| Infant Gender | 0.511824 |
|
CLICK HERE |
| 5634 |
Centers for Disease Control and Prevention |
Html |
en |
Diphenylamine - 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 |
|
CLICK HERE |
| 8897 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Community-Generated Recommendations Regarding the Urban Nutrition and Tobacco Environments: A Photo-Elicitation Study in Philadelphia - CDC |
Overweight, obesity, and tobacco use are major preventable causes of disability, disease, and death. In 2010, 25% of Philadelphia adults smoked, and 66% were overweight or obese. To address these health threats, the Philadelphia Department of Public Health launched Get Healthy Philly... |
| different potential interventions | 0.340037 |
| potential interventions | 0.359028 |
| tobacco use interventions | 0.366515 |
| major health concerns | 0.326493 |
| Philadelphia Department | 0.333827 |
| multilevel interventions | 0.336734 |
| tobacco | 0.698629 |
| early participants | 0.40525 |
| youth participant | 0.340343 |
| Healthy Philly | 0.406021 |
| individual participants | 0.40059 |
| white male youth | 0.360333 |
| related health concerns | 0.324804 |
| Public health researchers | 0.318448 |
| Terry E. Johnson | 0.3507 |
| nutrition | 0.429311 |
| prevention strategies | 0.328283 |
| Lorraine T. Dean | 0.347722 |
| Recent tobacco control | 0.337886 |
| tobacco sales | 0.337461 |
| health threats | 0.345847 |
| adults | 0.319345 |
| negative health effects | 0.397649 |
| illegal tobacco sales | 0.334794 |
|
| African American men | 0.338247 |
| public health community | 0.329058 |
| lay epidemiologic perspectives | 0.335688 |
| tobacco environments | 0.515345 |
| Healthy Philly interventions | 0.355783 |
| health behavior | 0.325008 |
| public health professionals | 0.322656 |
| ecological model | 0.740754 |
| public health | 0.493581 |
| participants | 0.99402 |
| Elizabeth A. FitzGerald | 0.34725 |
| youth participants | 0.475757 |
| public health concerns | 0.34378 |
| health concerns | 0.416093 |
| health | 0.581219 |
| physical activity | 0.800237 |
| Carolyn C. Cannuscio | 0.353787 |
| tobacco interventions | 0.366209 |
| interventions | 0.526626 |
| Multiple participants | 0.398622 |
| Health Belief Model | 0.334398 |
| Public Health Service | 0.321066 |
| adult participants | 0.534014 |
| healthful foods | 0.346177 |
|
CLICK HERE |
| 9101 |
Centers for Disease Control and Prevention |
Html |
en |
Remembering SARS - 10 Years Later |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| South America | 0.365194 |
| CDC | 0.854082 |
| travel alert | 0.430352 |
| global alert | 0.410501 |
| SARS case definition | 0.569373 |
| atypical pneumonia | 0.433679 |
| new coronavirus | 0.363665 |
| Health Alert Notice | 0.465171 |
| North America | 0.365216 |
| sars outbreak | 0.607499 |
| probable SARS infections | 0.576028 |
| National Select Agent | 0.398837 |
| severe form | 0.366497 |
| initial case reports | 0.400775 |
| World Health Organization | 0.42159 |
| probable SARS cases | 0.596578 |
| SARS patient | 0.538136 |
| Severe Acute Respiratory | 0.528533 |
| dozen countries | 0.363904 |
| sars | 0.940654 |
| aerosol-generating procedures | 0.360288 |
| interim laboratory biosafety | 0.414007 |
| global SARS | 0.54124 |
| southern China | 0.372313 |
|
| key activities | 0.365681 |
| Hong Kong | 0.521981 |
| United States | 0.731539 |
| CDC issues | 0.832446 |
| SARS incubation periods | 0.576742 |
| infection control precautions | 0.407253 |
| community outreach team | 0.404402 |
| suspect cases | 0.417634 |
| probable SARS | 0.617586 |
| local health departments | 0.416444 |
| U.S. cases | 0.359908 |
| health alert cards | 0.459888 |
| public health | 0.360653 |
| hosts media telebriefing | 0.412108 |
| new probable cases | 0.423181 |
| interim domestic guidelines | 0.411589 |
| CDC laboratory analysis | 0.560597 |
| travel advisory | 0.411798 |
| Acute Respiratory Syndrome | 0.528002 |
| select agent | 0.431837 |
| CDC quarantine staff | 0.553108 |
| guangdong province | 0.428329 |
| mainland China | 0.410584 |
| Canadian health officials | 0.405251 |
|
CLICK HERE |
| 9758 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Newsroom Image Library Leaders and Scientists | CDC Media Relations |
Free public health images, medical images, high-resolution, public domain images. |
| scientist Scott Smith | 0.201633 |
| Centers | 0.233275 |
| James Gathany | 0.547169 |
| Description | 0.206695 |
| Prevention | 0.221042 |
| PHIL ID number | 0.209681 |
| CDC scientist Thomas | 0.233029 |
|
| Disease Control | 0.740275 |
| CDC scientist Zach | 0.22919 |
| PHIL ID | 0.695039 |
| CDC scientist | 0.320894 |
| Photo Credit | 0.593835 |
| CDC scientist Scott | 0.231836 |
| scientist Thomas Stevens | 0.200709 |
|
CLICK HERE |
| 12321 |
Centers for Disease Control and Prevention |
Html |
en |
Comprehensive Clinic Assessment Software Application - Vaccines |
COCASA Home Page (Comprehensive Clinical Assessment Software Application) for Immunizations |
| adolescent coverage | 0.350135 |
| coverage assessment purposes | 0.608227 |
| provider clinic | 0.373891 |
| IIS data | 0.371083 |
| CoCASA | 0.221129 |
| individual immunization provider | 0.85471 |
| diagnostic childhood report | 0.618051 |
| AFIX | 0.312662 |
|
| invalid dose | 0.474611 |
| import capabilities | 0.347237 |
| data analysis capabilities | 0.606231 |
| Software Application | 0.389939 |
| different reports | 0.325369 |
| immunization coverage | 0.697279 |
| Comprehensive Clinic Assessment | 0.716628 |
|
CLICK HERE |
| 12609 |
Centers for Disease Control and Prevention |
Video |
en |
Video: CDC Responds to Nodding Disease in Uganda |
A team of CDC experts joined the Ministry of Health and of government, nonprofit, and health officials in Uganda to conduct a multifaceted investigation in Kitgum District, northern Uganda. Listen as Epidemic Intelligence Service Officer, Dr. Jennifer Foltz, tells the story about Nodding Disease, a neurologic syndrome which is devastating to afflicted children.
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/globalhealth/video/nodding/nodding.htm |
| Nodding Disease | 0.833329 |
| CDC Responds | 0.971575 |
|
|
CLICK HERE |
| 13242 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Hepatitis C Virus Infection Related toInjection Drug Use Among Persons Aged 30 Years or Younger - Kentucky,Tennessee, Virginia, and West Virginia, 2006-2012 |
Jon E. Zibbell, PhD1, Kashif Iqbal, MPH1, Rajiv C. Patel, MPH1, Anil Suryaprasad, MD1, Kathy J. |
| acute case reports | 0.427491 |
| opioid dependency | 0.402952 |
| Public Health | 0.433385 |
| prescription opioid abuse | 0.464941 |
| acute HCV infection* | 0.450267 |
| treatment admissions data | 0.411607 |
| HCV infection | 0.943196 |
| United States | 0.42077 |
| opioid injection | 0.38146 |
| acute cases | 0.374488 |
| nonurban areas | 0.405961 |
| West Virginia | 0.620008 |
| prescription opioid admissions | 0.52381 |
| abuse treatment admissions | 0.39618 |
| Infectious Disease Branch | 0.386152 |
| heroin admissions | 0.397896 |
| Treatment Episode Data | 0.380118 |
| current infection | 0.377832 |
| prescription opioids | 0.392884 |
| treatment admissions | 0.599329 |
| Kentucky Department | 0.399247 |
| IDU | 0.39371 |
| central Appalachia | 0.433451 |
| abuse treatment settings | 0.379103 |
|
| opioid abuse accounting | 0.404171 |
| integrated health services | 0.381514 |
| primary risk factor | 0.410476 |
| nonopioid injection | 0.382691 |
| Infectious Disease Epidemiology | 0.431845 |
| common blood-borne infection | 0.408389 |
| Prevention Services | 0.390321 |
| increase | 0.392273 |
| risk factor | 0.416111 |
| multiple treatment admissions | 0.387485 |
| West Virginia Department | 0.497063 |
| prescription opioid admission | 0.413455 |
| persons | 0.495992 |
| acute HCV cases | 0.449578 |
| young persons | 0.402212 |
| prescription opioid misuse | 0.403404 |
| acute infection | 0.390148 |
| individual treatment admissions | 0.388667 |
| substance abuse admissions | 0.413906 |
| acute HCV infection | 0.86759 |
| substance abuse treatment | 0.447294 |
| abuse treatment facilities | 0.379515 |
| acute HCV infections | 0.437688 |
|
CLICK HERE |
| 16188 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Disparities in Tobacco-Related Cancer Incidenceand Mortality - United States, 2004-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| tobacco-related cancers | 0.841514 |
| tobacco-related health care | 0.534832 |
| Human Services | 0.495294 |
| invasive cancer sites | 0.507909 |
| lung cancer | 0.5748 |
| U.S. population.* Cancer | 0.497858 |
| National Comprehensive Cancer | 0.493473 |
| tobacco-related cancer incidence | 0.75582 |
| States Cancer Statistics | 0.531734 |
| National Vital Statistics | 0.509524 |
| evidence-based tobacco control | 0.498789 |
| cancer incidence data | 0.530234 |
| tobacco-related cancer cases | 0.616127 |
| United States Cancer | 0.534559 |
| incidence rates | 0.492317 |
| tobacco-related disparities | 0.511788 |
| Cancer Health Disparities | 0.500726 |
| death rates | 0.785303 |
| U.S. standard population | 0.561943 |
| preventable tobacco-related cancer | 0.574448 |
| cancer mortality data | 0.508077 |
| cancer prevention | 0.5315 |
| United States | 0.714269 |
| Cancer Statistics dataset | 0.501621 |
| cancer incidence rate | 0.51162 |
|
| tobacco-related cancer death | 0.703459 |
| cancer registries | 0.53629 |
| federal cancer statistics | 0.500713 |
| comprehensive cancer control | 0.562516 |
| cigarette smoking | 0.631747 |
| acute myeloid leukemia | 0.579078 |
| Tobacco-related cancer mortality | 0.583371 |
| tobacco-related cancer deaths | 0.712736 |
| National Cancer Institute | 0.59945 |
| tobacco-related disease | 0.5178 |
| age-adjusted tobacco-related cancer | 0.583799 |
| cancer control efforts | 0.526818 |
| urinary bladder | 0.526773 |
| tobacco-related cancer | 0.960813 |
| Tobacco-related invasive cancer | 0.578563 |
| cancer site | 0.52191 |
| lung cancer deaths | 0.51937 |
| smokeless tobacco | 0.494057 |
| annual percentage change | 0.507748 |
| tobacco-related cancer disparities | 0.576812 |
| oral cavity | 0.534678 |
| renal pelvis | 0.501512 |
| cancer death rates | 0.69637 |
| tobacco control | 0.517261 |
|
CLICK HERE |