| 5209 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, March 21, 2011 |
null |
| HIV information | 0.759493 |
| BED HIV-1 incidence | 0.792765 |
| Vaccinia virus infections | 0.794365 |
| regional workshop series | 0.792677 |
| observational case-cohort study | 0.788979 |
| federal dietary guidance | 0.778713 |
| HIV-infected persons | 0.760788 |
| small farm exemption | 0.78519 |
| CDC Science Clips | 0.953414 |
| Emerg Infect Dis. | 0.892384 |
| Nutrition Examination Survey | 0.783473 |
| Daum RS | 0.762367 |
| real patient harms | 0.7961 |
| Chief Science Officer | 0.812698 |
| organ transplant recipients | 0.779675 |
| Khoury MJ | 0.792609 |
| Student vaccination requirements | 0.785051 |
| Clin Infect Dis. | 0.831119 |
| van Duijn CM | 0.789544 |
| National Health | 0.761251 |
| U.S. high school | 0.791691 |
| national action plan | 0.790453 |
| Castro KG | 0.795426 |
| martial arts gym | 0.793576 |
| prospective psychosocial studies | 0.784356 |
|
| Infect Dis. | 0.921842 |
| H1N1 influenza vaccination | 0.797757 |
| HIV services | 0.75946 |
| young adults | 0.762196 |
| public domain | 0.767098 |
| human immunodeficiency virus | 0.880874 |
| Stephen B. Thacker | 0.897827 |
| disease-related risk behaviors | 0.789732 |
| HIV prevention programming | 0.807713 |
| invasive meningococcal disease | 0.798982 |
| United States | 0.850922 |
| HIV outpatient study | 0.815751 |
| public health | 0.853701 |
| public health vulnerability | 0.812732 |
| health professional schools | 0.797614 |
| HIV incidence | 0.768177 |
| bacterial protein toxins | 0.77799 |
| parent-based HIV prevention | 0.807603 |
| public health literature | 0.808125 |
| Quantitative mass spectrometry | 0.780979 |
| B. Thacker CDC | 0.943392 |
| original sources | 0.765619 |
| Legionella nagasakiensis sp. | 0.786411 |
| public health preparedness | 0.814217 |
|
CLICK HERE |
| 5553 |
Centers for Disease Control and Prevention |
Html |
en |
Dibutyl phosphate - 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 |
| 6200 |
Centers for Disease Control and Prevention |
Html |
en |
PCD's first annual Student Research Contest: Lui and Wallace examine hospitalization rates for at-risk populations. |
null |
| at-risk population | 0.431523 |
| common conditions | 0.41533 |
| public health research | 0.584961 |
| Common Denominator | 0.428879 |
| student papers | 0.435867 |
| outstanding work | 0.420681 |
| chronic health conditions | 0.556429 |
| California Office | 0.423188 |
| ambulatory care–sensitive conditions | 0.720753 |
| annual Preventing Chronic | 0.542594 |
| Preventing Chronic Disease | 0.508116 |
| annual PCD Student | 0.718888 |
| Health Promotion | 0.436989 |
| congestive heart failure | 0.69082 |
| geographic variability | 0.441201 |
| health care services | 0.534578 |
| editorial board members | 0.503219 |
| young public health | 0.571586 |
| health care resource | 0.543098 |
| ranked quintile | 0.427227 |
| Student Research Contest | 0.989926 |
| health care spending | 0.532037 |
| Chronic Disease | 0.581802 |
| geographic distribution | 0.434933 |
| effective outpatient treatment | 0.49524 |
|
| Statewide Health Planning | 0.535695 |
| public health workforce | 0.553301 |
| fourth-year doctoral student | 0.537159 |
| Dr Lynne Wilcox | 0.504062 |
| general population | 0.430225 |
| California Health Interview | 0.553166 |
| Ms Lui | 0.810284 |
| Los Angeles | 0.421052 |
| Dr Steven Wallace | 0.537723 |
| age/disease prevalence rates | 0.530722 |
| Community Health Sciences | 0.566457 |
| Steven P. Wallace | 0.53669 |
| public health | 0.673697 |
| health care | 0.580678 |
| PCD Student Research | 0.720007 |
| total population | 0.433958 |
| Camillia K. Lui | 0.611027 |
| hospital patient discharge | 0.49588 |
| public health programs | 0.535213 |
| Dr Wallace | 0.430135 |
| Chronic Disease Prevention | 0.51174 |
| Samuel F. Posner | 0.483567 |
| hospitalization rates | 0.739827 |
| Disease Control | 0.477317 |
|
CLICK HERE |
| 6976 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Democratic Republic of Congo |
The Centers for Disease Control and Prevention (CDC) established an office in the Democratic Republic of Congo (DRC) in 2002. |
| rabies surveillance | 0.669897 |
| CDC | 0.909224 |
| endorsement | 0.387426 |
| polio eradication | 0.663429 |
| adults | 0.343853 |
| areas | 0.348648 |
| office | 0.353104 |
| immunization program strengthening | 0.905315 |
| antiretroviral treatment | 0.704369 |
| malaria control | 0.684665 |
| Content source | 0.581968 |
| AIDS Relief | 0.60923 |
| HHS | 0.394948 |
| transmission | 0.347783 |
| President’s Emergency | 0.636707 |
| Notice | 0.358728 |
| variety | 0.348717 |
| studies | 0.347071 |
| monkey pox epidemiologic | 0.960881 |
|
| HIV/AIDS prevention | 0.62136 |
| infants | 0.36298 |
| Health | 0.348923 |
| Democratic Republic | 0.653734 |
| MOH | 0.419569 |
| HIV-positive pregnant women | 0.897182 |
| President’s Malaria | 0.712548 |
| PEPFAR | 0.347963 |
| Plan | 0.348168 |
| PMI | 0.385395 |
| Initiative | 0.352317 |
| Congo | 0.381661 |
| influenza surveillance | 0.662143 |
| non-federal site | 0.636533 |
| partner | 0.35151 |
| provision | 0.449649 |
| DRC Ministry | 0.746101 |
| antiretroviral drugs | 0.729316 |
|
CLICK HERE |
| 7229 |
Centers for Disease Control and Prevention |
Html |
en |
Errata: Vol. 61, No. 26 |
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. |
| mmwrq@cdc.gov. | 0.517615 |
| endorsement | 0.4047 |
| Human Services | 0.675165 |
| assistive technology | 0.531521 |
| motor vehicle traffic | 0.933377 |
| U.S. Department | 0.662619 |
| MMWR HTML versions | 0.639712 |
| unintentional motor vehicle | 0.986533 |
| identification | 0.332327 |
| QuickStats | 0.334456 |
| electronic PDF version | 0.628412 |
| e-mail | 0.371876 |
| Contact GPO | 0.525496 |
| commercial sources | 0.496186 |
| current prices | 0.482579 |
| persons | 0.370796 |
| original paper copy | 0.621634 |
| rate changes | 0.53835 |
| page | 0.334243 |
| Internet | 0.331901 |
| programs | 0.331703 |
| United States | 0.507978 |
| U.S. Government Printing | 0.63091 |
| death rate | 0.532189 |
|
| Superintendent | 0.336624 |
| assistance | 0.33703 |
| title | 0.334802 |
| content | 0.331655 |
| MMWR readers | 0.496731 |
| character translation | 0.483865 |
| file | 0.337294 |
| MMWR paper copy | 0.631536 |
| Age Group | 0.508153 |
| format errors | 0.486981 |
| subject line | 0.5106 |
| Health | 0.363995 |
| typeset documents | 0.494057 |
| trade names | 0.496358 |
| official text | 0.480703 |
| total U.S. population | 0.758005 |
| non-CDC sites | 0.490829 |
| vehicle traffic deaths | 0.952271 |
| References | 0.331957 |
| report | 0.334772 |
| organizations | 0.331731 |
| information | 0.337325 |
| Accommodation | 0.334831 |
| electronic conversions | 0.48071 |
|
CLICK HERE |
| 9730 |
Centers for Disease Control and Prevention |
Html |
es |
El humo de segunda mano y el asma - Enfermedades & afecciones - Consejos de exfumadores |
El humo del tabaco, incluido el de segunda mano, no es saludable para las personas con asma. Esta página incluye información sobre las relaciones entre el humo de segunda mano y el asma. |
| Archivo Apple Quicktime | 0.475016 |
| largo plazo | 0.446815 |
| Archivo Zip Comprimido | 0.473879 |
| frecuente restaurantes | 0.452718 |
| vÃas respiratorias | 0.990108 |
|
| Archivo Microsoft PowerPoint | 0.480364 |
| Archivo Adobe PDF | 0.474451 |
| Archivo Microsoft Excel | 0.473529 |
| Archivo Microsoft | 0.614028 |
| familiar sufre | 0.455627 |
|
CLICK HERE |
| 11845 |
Centers for Disease Control and Prevention |
Html |
en |
Pertussis | Whooping Cough | Ourtbreaks | Lab | Resources | CDC |
Pertussis Laboratory Information |
| CDC | 0.510619 |
| Diseases Branch epidemiologists | 0.442589 |
| diphtheria diagnostics | 0.499554 |
| B. pertussis | 0.831972 |
| pertussis | 0.976473 |
| Problematic testing | 0.384718 |
| Vaccine Preventable Diseases | 0.578218 |
| pertussis outbreaks | 0.598113 |
| surveillance activities | 0.389301 |
| outbreak management | 0.40683 |
| real burden | 0.38032 |
| pertussis cases | 0.61617 |
| laboratory procedures | 0.398734 |
| widespread childhood vaccination | 0.449515 |
| hospital personnel | 0.388081 |
| Elek assay | 0.375488 |
| validated laboratory assays | 0.472762 |
| prevention programs | 0.381236 |
| outbreak support | 0.479922 |
| direct public health | 0.449127 |
| Corynebacterium species | 0.384213 |
| agents causing pertussis | 0.699306 |
| new laboratory methods | 0.469473 |
| Preventable Diseases Branch | 0.572576 |
| molecular sub-typing methods | 0.439349 |
|
| States health departments | 0.481808 |
| international capacity building | 0.441035 |
| Diphtheria Laboratory | 0.721214 |
| vaccine effectiveness studies | 0.455723 |
| United States | 0.469027 |
| local health department | 0.446595 |
| extensive culture collections | 0.434524 |
| contact CDC | 0.431354 |
| pertussis outbreak | 0.608529 |
| reference activities | 0.376416 |
| diphtheria case | 0.485618 |
| international researchers | 0.389638 |
| clinical validation study | 0.557557 |
| health departments | 0.596178 |
| local health departments | 0.585025 |
| public health concerns | 0.44333 |
| pertussis disease | 0.612728 |
| laboratory testing capabilities | 0.471832 |
| bacterial agents | 0.374614 |
| diphtheria toxin | 0.49555 |
| international collaborative research | 0.438501 |
| vaccine-preventable diseases | 0.438443 |
| laboratory support | 0.417219 |
| C. ulcerans | 0.381196 |
|
CLICK HERE |
| 12753 |
Centers for Disease Control and Prevention |
Html |
en |
Transcript for CDC Telebriefing: Measles in the United States, 2015 |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Disneyland | 0.403055 |
| questions | 0.379482 |
| MMR vaccination | 0.386662 |
| measles elimination | 0.45519 |
| operator | 0.39594 |
| number | 0.480253 |
| U.S. measles outbreak | 0.52616 |
| fully vaccinated people | 0.400514 |
| pregnant women | 0.389777 |
| measles exposures | 0.454621 |
| children | 0.452006 |
| best protection | 0.37174 |
| press star | 0.373227 |
| typical outbreak | 0.375942 |
| recent measles case | 0.454498 |
| vulnerable people | 0.370448 |
| extremely large outbreak | 0.382285 |
| mike stobbe | 0.371267 |
| theme parks | 0.372338 |
| little bit | 0.40096 |
| recent measles outbreak | 0.491898 |
| anna edney | 0.370384 |
| anne schuchat | 0.888702 |
| reported measles cases | 0.468843 |
| United States | 0.45245 |
|
| vaccines | 0.376093 |
| infection control | 0.368632 |
| states | 0.480848 |
| measles cases | 0.569321 |
| world | 0.372734 |
| Disneyland related outbreak | 0.375673 |
| measles symptoms | 0.455035 |
| measles vaccine | 0.631553 |
| hospital. Measles | 0.456335 |
| Dr. Schuchat | 0.397154 |
| local health departments | 0.434221 |
| travel history | 0.460711 |
| cases | 0.613064 |
| question | 0.542951 |
| Disneyland outbreak | 0.372817 |
| measles spreads | 0.463784 |
| unvaccinated people | 0.410906 |
| people | 0.814723 |
| super bowl | 0.423562 |
| time MMR vaccination | 0.375064 |
| time | 0.396342 |
| measles | 0.996106 |
| large multistate outbreak | 0.423769 |
| MMR vaccine | 0.508938 |
|
CLICK HERE |
| 14049 |
Centers for Disease Control and Prevention |
Image |
null |
E-cigarette Ads and Youth Infographics |
null |
|
|
CLICK HERE |
| 15627 |
Centers for Disease Control and Prevention |
Html |
en |
Associations Between Cardiovascular Health andHealth-Related Quality of Life, Behavioral Risk Factor SurveillanceSystem, 2013 |
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. |
| mental health status | 0.378713 |
| ideal cardiovascular health | 0.745637 |
| prevalence ratio | 0.381579 |
| mental health | 0.383246 |
| fruit | 0.374726 |
| adults | 0.384943 |
| self-reported general health | 0.379092 |
| lower prevalence | 0.564007 |
| cardiovascular risk factors | 0.414985 |
| individuals | 0.3846 |
| cardiovascular health | 0.929404 |
| Ideal physical activity | 0.3693 |
| HRQOL measures | 0.375716 |
| high cholesterol | 0.379158 |
| heart disease | 0.38117 |
| smoking status | 0.375333 |
| CVH composite score | 0.397831 |
| cardiovascular health metrics | 0.54576 |
| general health status | 0.539228 |
| health-related quality | 0.408437 |
| adults meeting | 0.382928 |
| cardiovascular disease | 0.398809 |
| blood pressure | 0.394658 |
|
| poor general health | 0.434143 |
| aPR | 0.397131 |
| cardiovascular disease incidence | 0.374582 |
| body mass index | 0.424732 |
| vegetable intake | 0.581118 |
| CVHM | 0.438303 |
| cardiovascular illness | 0.374269 |
| fair/poor health | 0.423901 |
| physical activity | 0.472338 |
| American Heart Association | 0.412246 |
| dark green vegetables | 0.369711 |
| fair/poor health status | 0.375538 |
| state-based telephone survey | 0.381245 |
| high blood pressure | 0.373408 |
| lower health care | 0.371575 |
| behavioral risk factor | 0.415461 |
| high school diploma | 0.400217 |
| HRQOL | 0.394435 |
| logistic regression models | 0.4169 |
| health status measures | 0.372663 |
| risk factor surveillance | 0.41394 |
| cardiovascular health recommendations | 0.403588 |
| CVD risk factors | 0.377946 |
|
CLICK HERE |