| 4484 |
Centers for Disease Control and Prevention |
Html |
en |
CDC A-Z Index - W |
CDC A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 4879 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease: January 2011: 09_0192 |
null |
| Risk Factor Surveillance | 0.4661 |
| blood pressure management | 0.463107 |
| systolic blood pressure | 0.469405 |
| alcohol consumption | 0.496137 |
| diastolic blood pressure | 0.469391 |
| Oklahoma’s adult | 0.4452 |
| alcohol intake | 0.483589 |
| salt intake | 0.497498 |
| BRFSS survey | 0.474099 |
| blood pressure | 0.920083 |
| hypertensive adults | 0.500251 |
| patients | 0.490198 |
| hypertension control | 0.469488 |
| weight loss | 0.446672 |
| mm Hg | 0.493124 |
| individual treatment choices | 0.457183 |
| respondents | 0.549333 |
| age-adjusted rates | 0.461547 |
| condition | 0.474181 |
| Behavioral Risk Factor | 0.466142 |
| treatment | 0.635649 |
| kidney disease | 0.460116 |
| commonly advised treatment | 0.477249 |
| lifestyle changes | 0.452294 |
|
| weight control | 0.445436 |
| Introduction
Hypertension | 0.467735 |
| physician | 0.499339 |
| uncontrolled blood pressure | 0.465156 |
| various treatment options | 0.456942 |
| physician’s treatment | 0.448539 |
| treatment advice | 0.533276 |
| random-digit–dialed telephone survey | 0.444373 |
| disease | 0.460293 |
| Oklahoma State Department | 0.470444 |
| adult population | 0.457975 |
| commonly used treatment | 0.454383 |
| available treatment options | 0.452041 |
| health | 0.476985 |
| physician advice | 0.464361 |
| medication | 0.527664 |
| people | 0.469678 |
| physical activity | 0.455715 |
| lifestyle modifications | 0.446238 |
| common treatment | 0.481184 |
| demographic differences | 0.472287 |
| high blood pressure | 0.814963 |
| treatment options | 0.601247 |
| Oklahoma adults | 0.515191 |
|
CLICK HERE |
| 6354 |
Centers for Disease Control and Prevention |
Html |
en |
Basic TB Facts |
Division of Tuberculosis Elimination |
| result | 0.250507 |
| latent TB infection | 0.848757 |
| kidney | 0.256376 |
| Mycobacterium tuberculosis | 0.524648 |
| TB disease | 0.81287 |
|
| TB-related conditions | 0.380616 |
| lungs | 0.270813 |
| spine | 0.25684 |
| body | 0.23607 |
| brain | 0.235579 |
|
CLICK HERE |
| 6481 |
Centers for Disease Control and Prevention |
Html |
null |
Teacher awareness and implementation of food and physical activity policies in Utah elementary schools, 2010 |
Schools are a key venue for childhood obesity prevention policies. The objective of this study was to examine factors associated with elementary school teacher awareness and implementation of their schools’ food and physical activity policies. |
|
|
CLICK HERE |
| 7448 |
Centers for Disease Control and Prevention |
Html |
en |
NCEH/ATSDR Epidemic Intelligence Service - Overivew |
The Epidemic Intelligence Service (EIS) is a unique 2-year postgraduate training program of service and on-the-job learning for health professionals interested in the practice of applied epidemiology. |
| CDC’s National | 0.41581 |
| elk river chemical | 0.785569 |
| Public Health Emergency | 0.536716 |
| river chemical spill | 0.939691 |
| Chlorine Gas Exposure | 0.469406 |
| NCEH Division | 0.43524 |
| Environmental Health Services | 0.550596 |
| H. Environmental Health | 0.507037 |
| Injury-related Epidemic-Assistance Investigations | 0.463456 |
| EIS officers | 0.726948 |
| MMWR Surveillance Summaries. | 0.482655 |
| CDC iPAD application | 0.477953 |
| epidemiological investigations | 0.414301 |
| unregulated drinking water | 0.484871 |
| Potable Water Supply | 0.472043 |
| Acute health effects | 0.505852 |
| Environmental Health | 0.583595 |
| Public Health Reviews | 0.516211 |
| Asthma-Related School Absenteeism | 0.47022 |
| Severe Illness Associated | 0.60236 |
| Asthma-Related emergency room | 0.481982 |
| Briss P. Environmental | 0.461521 |
| health effects | 0.587268 |
| spill — West | 0.440937 |
| Active transportation surveillance | 0.469318 |
|
| United States | 0.467802 |
| Intelligence Service officers | 0.477664 |
| Metal Recycling Facility | 0.453271 |
| recovery needs | 0.567497 |
| Social Vulnerability Index | 0.472736 |
| National Poison Data | 0.792666 |
| West Virginia | 0.633116 |
| adverse health effects | 0.521693 |
| prenatal exposure | 0.413256 |
| Disaster Response | 0.468143 |
| hand sanitizer exposure | 0.505517 |
| Poison Centers | 0.410274 |
| public health | 0.728554 |
| Public Health Prep. | 0.525457 |
| Recent projects | 0.403821 |
| synthetic marijuana | 0.474872 |
| Howley M. Examples | 0.469921 |
| supplement-induced liver injury | 0.47384 |
| large national datasets | 0.510998 |
| surveillance evaluation | 0.410341 |
| et al | 0.472306 |
| Disease Detective Hunting | 0.451198 |
| Disease Registry | 0.406968 |
| Duncan MA | 0.476173 |
|
CLICK HERE |
| 10866 |
Centers for Disease Control and Prevention |
Html |
en |
Drop in cigarette consumption offset by increases in other forms of smoked tobacco - CDC Online Newsroom - Press Release |
West Nile virus disease cases up this year |
| dramatic increases | 0.238113 |
| Mortality Weekly Report | 0.332925 |
| States. The health | 0.228578 |
| Combustible Tobacco—United States | 0.319044 |
| past March shows | 0.220097 |
| Sharp increases | 0.246459 |
| direct health care | 0.317441 |
| possible causes | 0.238258 |
| tax structure | 0.237345 |
| long decline | 0.249378 |
| Disease Control | 0.24076 |
| tobacco manufacturers | 0.472744 |
| tobacco smoke | 0.417142 |
| total consumption | 0.359368 |
| evidence-based tobacco control | 0.518762 |
| hard-hitting mass media | 0.30997 |
| adverse reproductive effects | 0.297193 |
| u.s. department | 0.294233 |
| roll-your-own tobacco | 0.614152 |
| consumption data | 0.33855 |
| total adult consumption | 0.49865 |
| small cigars | 0.314152 |
| young adults | 0.327945 |
| total cigarette consumption | 0.70901 |
| percent decline | 0.32063 |
|
| cigar smoking | 0.234915 |
| health threats | 0.228317 |
| chronic health conditions | 0.314769 |
| young people | 0.223457 |
| non-cigarette smoked tobacco | 0.835073 |
| percent | 0.357004 |
| tobacco products | 0.962389 |
| federal excise tax | 0.315968 |
| large cigars | 0.385631 |
| 11-year downward trend | 0.346776 |
| U.S. health protection | 0.324087 |
| consumption estimates | 0.337072 |
| largest increases | 0.239997 |
| overall decline | 0.237168 |
| CDC’s Office | 0.23968 |
| Treasury Department data | 0.316226 |
| roll-your-own cigarettes | 0.469283 |
| cigarette-like cigars | 0.331354 |
| overall consumption | 0.354103 |
| Surgeon General | 0.327673 |
| Mental Health Administration | 0.325069 |
| tobacco epidemic | 0.452973 |
| pipe tobacco | 0.809196 |
| new report | 0.25432 |
|
CLICK HERE |
| 11684 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Promotion and Provision ofColorectal Cancer Screening: A Comparison of Colorectal CancerControl Program Grantees and Nongrantees, 2011-2012 - CDC |
Since 2009, the Centers for Disease Control and Prevention (CDC) has awarded nearly $95 million to 29 states and tribes through the Colorectal Cancer Control Program (CRCCP) to fund 2 program components: 1) providing colorectal cancer (CRC) screening to uninsured and underinsured low-income adults and 2) promoting population-wide CRC screening through evidence-based interventions identified in the Guide to Community Preventive Services (Community Guide). CRCCP is a new model for disseminating and promoting use of evidence-based interventions. If the program proves successful, CDC may adopt the model for future cancer control programs. The objective of our study was to compare the colorectal cancer screening practices of recipients of CRCCP funding (grantees) with those of nonrecipients (nongrantees). |
| CRC screening programs | 0.414642 |
| higher CRC screening | 0.411961 |
| Control Research Network | 0.32155 |
| Comprehensive Cancer Control | 0.306608 |
| provider reminders | 0.359214 |
| CRCCP funding | 0.467956 |
| Guide-recommended evidence-based interventions | 0.418531 |
| structural barriers | 0.304321 |
| National Comprehensive Cancer | 0.303406 |
| population-wide CRC screening | 0.515206 |
| colorectal cancer screening | 0.398971 |
| health care providers | 0.376731 |
| cancer control programs | 0.357325 |
| CRCCP grantees | 0.810525 |
| patient navigation | 0.376885 |
| Cancer Early Detection | 0.481592 |
| colorectal cancer | 0.421599 |
| client reminders | 0.32236 |
| CRC screening | 0.92081 |
| cervical cancer screening | 0.373099 |
| mass media | 0.355343 |
| Cancer Control Program | 0.401933 |
| CRC screening promotion | 0.452688 |
| Community Guide-recommended interventions | 0.374369 |
| fecal occult blood | 0.351565 |
|
| screening services | 0.323277 |
| CRCCP grantee states | 0.307998 |
| CRC screening methods | 0.409838 |
| CRC screening tests | 0.402176 |
| primary screening test | 0.407435 |
| Colorectal Cancer Control | 0.324345 |
| comprehensive cancer | 0.31019 |
| small media | 0.352158 |
| future cancer control | 0.316148 |
| National Breast | 0.343352 |
| CRCCP funding model | 0.3162 |
| commonly used interventions | 0.305697 |
| Early Detection Program | 0.478613 |
| fecal immunochemical testing | 0.320158 |
| CRC screening guidelines | 0.429723 |
| occult blood testing | 0.314106 |
| provider-oriented interventions | 0.307045 |
| CRC screening rates | 0.476752 |
| nongrantees | 0.355042 |
| provider assessment | 0.327688 |
| high-quality screening | 0.31797 |
| evidence-based interventions | 0.756664 |
| primary screening tests | 0.346166 |
| Cervical Cancer Early | 0.479005 |
|
CLICK HERE |
| 12919 |
Centers for Disease Control and Prevention |
Video |
en |
Concussion Videos - Molly's Story |
null |
| Shares Her Concussion | 0.971574 |
|
|
CLICK HERE |
| 14189 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreak of Foodborne Botulism Associated with ImproperlyJarred Pesto - Ohio and California, 2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Health Department Food | 0.574797 |
| neurologic intensive care | 0.528112 |
| jars | 0.539788 |
| pesto manufacturer | 0.598442 |
| foodborne botulism | 0.732706 |
| type B toxin | 0.548705 |
| food samples | 0.531451 |
| health care facility | 0.672188 |
| Cincinnati Health Department | 0.760225 |
| Clostridium spp. | 0.575486 |
| Health Outbreak Response | 0.559246 |
| botulism outbreak | 0.612411 |
| low-acid canned foods | 0.527593 |
| botulinum antitoxin | 0.571786 |
| public health officials | 0.567783 |
| unopened glass jar | 0.528039 |
| low-acid canned vegetables | 0.538835 |
| type B botulism | 0.596068 |
| public health practice | 0.583055 |
| ready-to-eat food increases | 0.536823 |
| botulism antitoxin | 0.583765 |
| botulism | 0.82864 |
| possible botulism cases | 0.654552 |
| California Department | 0.535895 |
| pesto | 0.771129 |
|
| acute care facility | 0.60133 |
| pesto jar | 0.611923 |
| farm stand | 0.639629 |
| improperly canned foods | 0.637897 |
| State health departments | 0.533759 |
| local health department | 0.586847 |
| physician suspected botulism | 0.665661 |
| state health department | 0.56132 |
| Ohio Department | 0.52789 |
| public health emergency | 0.588715 |
| public health | 0.809783 |
| Pine Nut Basil | 0.605379 |
| botulinum toxin type | 0.977349 |
| public health investigation | 0.570338 |
| home-canned pesto | 0.595027 |
| throat pain | 0.524852 |
| Clostridium botulinum testing | 0.577245 |
| company A pesto | 0.66571 |
| long-term acute care | 0.59418 |
| Health Department epidemiologists | 0.574303 |
| food safety regulations | 0.539596 |
| different health care | 0.56082 |
| Health Laboratory | 0.541928 |
| pressurization practices | 0.525569 |
|
CLICK HERE |
| 16329 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Unmarried Childbearing |
null |
| Sexual Behavior | 0.69642 |
| race | 0.460605 |
| United States | 0.983314 |
| Hispanic origin | 0.778632 |
| Final Data | 0.725222 |
| Births | 0.502538 |
| mother | 0.567929 |
|
| Childbearing | 0.508788 |
| PDF | 0.497469 |
| unmarried women | 0.808842 |
| MB | 0.492354 |
| KB | 0.494018 |
| Attitudes About Marriage | 0.733355 |
| Trends | 0.471274 |
|
CLICK HERE |