| 7148 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Sri Lanka |
null |
| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
|
| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
|
CLICK HERE |
| 7697 |
Centers for Disease Control and Prevention |
Html |
null |
eCards - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
|
|
CLICK HERE |
| 8165 |
Centers for Disease Control and Prevention |
Html |
en |
DHDSP - Heart Disease Educational Materials |
null |
| list Skip | 0.758912 |
| set | 0.204925 |
| Stroke Prevention | 0.384531 |
| page options Skip | 0.906223 |
|
| Public Health Professionals | 0.593144 |
| educational materials | 0.361813 |
| Healthcare Professionals | 0.360143 |
| navigation Skip | 0.77607 |
|
CLICK HERE |
| 8977 |
Centers for Disease Control and Prevention |
Html |
en |
May 2013 Edition - Public Health Law News |
null |
| daily alcohol consumption | 0.589391 |
| Health Aquatic Symposium | 0.586606 |
| binge drinking | 0.637833 |
| public health departments | 0.589178 |
| blood alcohol test | 0.69183 |
| new alcohol licenses | 0.590511 |
| public health surveillance | 0.619033 |
| mutual aid law | 0.623236 |
| Alcohol Use Prevention | 0.590412 |
| evidence-based strategies | 0.588514 |
| health law issue | 0.587203 |
| public health tools | 0.584269 |
| public health emergencies | 0.601765 |
| alcohol epidemiology | 0.615266 |
| alcohol policy environment | 0.589508 |
| public health practice | 0.60499 |
| Alcohol Program | 0.626418 |
| National Environmental Health | 0.610266 |
| Alcohol Policy Consultations | 0.618552 |
| state public health | 0.591732 |
| Public Health Future,which | 0.591216 |
| public health governance | 0.590399 |
| public health impact | 0.58707 |
| important public health | 0.605717 |
| Alcohol Syndrome Prevention | 0.597185 |
|
| alcohol epidemiology projects | 0.587342 |
| alcohol consumption | 0.617791 |
| Alcohol-Related Disease Impact | 0.593047 |
| excessive alcohol | 0.871279 |
| CDC Public Health | 0.594414 |
| health law | 0.705479 |
| excessive drinking | 0.691607 |
| public health professionals | 0.612608 |
| public health | 0.983686 |
| public health law | 0.685458 |
| Health Law Program | 0.610986 |
| global health law | 0.642055 |
| alcohol outlet density | 0.618855 |
| Annual Health Law | 0.608376 |
| Alcohol Program Leader | 0.608117 |
| local public health | 0.63766 |
| public health capacity | 0.628588 |
| Health Law Professors | 0.605953 |
| excessive alcohol use. | 0.624641 |
| Model Aquatic Health | 0.588711 |
| high per-occasion alcohol | 0.590599 |
| ASLME Health Law | 0.590395 |
| Aquatic Health Code | 0.588709 |
| Community Guide | 0.608838 |
|
CLICK HERE |
| 10814 |
Centers for Disease Control and Prevention |
Html |
en |
Two Multistate Outbreaks of Shiga Toxin--Producing Escherichia coli Infections Linked to Beef from a Single Slaughter Facility --- United States, 2008 |
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. |
| logistic regression model | 0.397109 |
| County Health Dept | 0.407549 |
| nonintact beef products | 0.436204 |
| retail grocery chain | 0.407475 |
| raw ground beef | 0.497475 |
| beef testing procedures | 0.439597 |
| STEC O157 isolation | 0.424352 |
| beef slaughtering | 0.412977 |
| beef products | 0.545437 |
| conditional logistic regression | 0.396568 |
| raw beef | 0.4287 |
| state health departments | 0.408766 |
| additional intact beef | 0.449506 |
| PFGE pattern | 0.492876 |
| ground beef products.††| 0.458315 |
| tandem repeat analysis | 0.398685 |
| Escherichia coli O157 | 0.416348 |
| single slaughter facility | 0.395053 |
| pulsed-field gel electrophoresis | 0.404221 |
| STEC O157 contamination | 0.498102 |
| slaughter facility | 0.677764 |
| distinct STEC O157 | 0.453921 |
| indistinguishable PFGE pattern | 0.421303 |
| beef testing | 0.440585 |
| beef slaughter facility | 0.605536 |
|
| ground beef | 0.857502 |
| hemolytic uremic syndrome | 0.406704 |
| public health community | 0.412388 |
| STEC O157 outbreaks | 0.500038 |
| single beef slaughter | 0.491987 |
| illness onset dates | 0.461823 |
| small sample size | 0.397854 |
| cooking ground beef | 0.447169 |
| STEC O157 infections | 0.442031 |
| public health | 0.446404 |
| STEC O157 cluster | 0.444568 |
| consuming ground beef | 0.511826 |
| New York | 0.405353 |
| chain | 0.414632 |
| ground beef consumption | 0.458509 |
| multiple-locus variable-number tandem | 0.399866 |
| undercooked ground beef | 0.46481 |
| large beef slaughter | 0.465837 |
| New Jersey | 0.405378 |
| food safety | 0.408301 |
| intact beef cuts | 0.470523 |
| variable-number tandem repeat | 0.399584 |
| contaminated beef | 0.416509 |
| STEC O157 | 0.930724 |
|
CLICK HERE |
| 10821 |
Centers for Disease Control and Prevention |
Html |
en |
CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| airborne isolation precautions | 0.52192 |
| CDC | 0.574908 |
| CDC’s National | 0.506395 |
| sustained spread | 0.467553 |
| Respiratory Syndrome Coronavirus | 0.534648 |
| health officials | 0.675065 |
| dramatic increase | 0.46595 |
| Dr. Anne Schuchat | 0.526078 |
| healthcare worker | 0.479133 |
| family members | 0.468522 |
| unwashed hands | 0.464997 |
| CDC Director Tom | 0.571578 |
| specific treatment | 0.465269 |
| Florida health officials | 0.548645 |
| assistant surgeon general | 0.525076 |
| emergency department | 0.471329 |
| public health investigations | 0.536595 |
| MERS cases | 0.646407 |
| Respiratory Diseases | 0.486864 |
| U.S. imported case | 0.558731 |
| East Respiratory Syndrome | 0.669266 |
| late night | 0.476993 |
| Arabian Peninsula | 0.712772 |
| United States | 0.547025 |
| respiratory illness | 0.521116 |
|
| MERS Coronavirus | 0.588518 |
| slight cough | 0.482023 |
| global ability | 0.471021 |
| Saudi Arabia | 0.937632 |
| U.S. travelers | 0.46662 |
| additional imported cases | 0.540657 |
| subsequent flights | 0.467533 |
| severe acute respiratory | 0.531147 |
| CDC’s recommendations | 0.493741 |
| patient | 0.583467 |
| health security | 0.482217 |
| close contact | 0.73679 |
| Florida Department | 0.470435 |
| health care | 0.482481 |
| travel history | 0.471018 |
| Middle East Respiratory | 0.669298 |
| local health officials | 0.546613 |
| respiratory illnesses | 0.478176 |
| MERS-CoV infection | 0.532054 |
| U.S. general public | 0.646696 |
| healthcare provider | 0.469447 |
| healthcare workers | 0.47638 |
| healthcare setting | 0.465804 |
| MERS | 0.769288 |
|
CLICK HERE |
| 12303 |
Centers for Disease Control and Prevention |
Html |
en |
HIV Transmission - HIV/AIDS Basics |
Some questions and answers on how HIV is transmitted. |
| HIV-infected person | 0.270822 |
| certain body fluids—blood | 0.29036 |
| possible HIV transmission | 0.327151 |
| right way | 0.246434 |
| CDC’s HIV | 0.610202 |
| highest-risk sexual activity | 0.247003 |
| viral load | 0.293734 |
| HIV-infected blood | 0.234344 |
| anal sex | 0.329083 |
| needs | 0.272485 |
| personal protective equipment | 0.245747 |
| blood transfusions | 0.232913 |
| oral sex | 0.316297 |
| HIV Risk Reduction | 0.78153 |
| abuse treatment center | 0.25526 |
| HIV-positive partner | 0.2494 |
| HIV treatment | 0.352763 |
| HIV medicines | 0.327934 |
| sexually transmitted diseases | 0.25552 |
| HIV treatment medicines | 0.334258 |
| undetectable viral load | 0.2684 |
| person | 0.282928 |
| substance abuse treatment | 0.25442 |
| unprotected sex | 0.235286 |
|
| needles | 0.239825 |
| United States | 0.27714 |
| sexual behaviors | 0.24529 |
| Risk Reduction Tool | 0.685113 |
| receptive anal sex | 0.260448 |
| occupational exposure | 0.233742 |
| mucous membranes | 0.275283 |
| health care workers | 0.318097 |
| hiv transmission | 0.357978 |
| open sores | 0.246692 |
| HIV superinfection | 0.323454 |
| No. HIV | 0.318337 |
| sex | 0.361936 |
| vaginal sex | 0.275038 |
| blood | 0.293919 |
| people | 0.256223 |
| BETA | 0.272462 |
| mouth | 0.236781 |
| HIV | 0.97851 |
| information | 0.309818 |
| sharp object | 0.232931 |
| Occupational HIV Transmission | 0.338846 |
| vaginal fluids | 0.247477 |
| insertive anal sex | 0.24228 |
|
CLICK HERE |
| 15778 |
Centers for Disease Control and Prevention |
Html |
en |
About Antimicrobial Resistance |
null |
| drug-resistant organisms | 0.301262 |
| general public | 0.274599 |
| wound infections | 0.342322 |
| bacteria | 0.9554 |
| antibiotic-resistant infections | 0.571482 |
| new resistance | 0.327654 |
| toxic alternatives | 0.287266 |
| major factor | 0.277752 |
| infections | 0.582424 |
| disease-causing microbes. | 0.287607 |
| time antibiotics | 0.40348 |
| infected farm workers | 0.399362 |
| aggressive action | 0.297836 |
| industrial food animal | 0.393631 |
| acceptance speech | 0.270353 |
| germs | 0.299907 |
| greater risk | 0.296662 |
| food animals | 0.40788 |
| resistant bacteria | 0.627846 |
| Alexander Fleming. | 0.274811 |
| food animals. | 0.281088 |
| disease-causing microbes | 0.372013 |
| veterinary oversight | 0.281036 |
| third-choice drugs | 0.278085 |
|
| Allied Forces. | 0.268583 |
| antibiotic-resistant bacteria | 0.472013 |
| incorrect dosing | 0.28527 |
| commonly known antimicrobials | 0.443827 |
| resistant infections | 0.395912 |
| page | 0.399089 |
| antibiotics | 0.602226 |
| alternative drugs | 0.286433 |
| commercialized antibiotic | 0.361489 |
| antibiotic resistance | 0.515802 |
| food-producing animals | 0.399227 |
| bacteria Salmonella | 0.477953 |
| bacteria. Other forms | 0.275895 |
| World War | 0.274363 |
| commonly prescribed drugs | 0.447164 |
| medical expenses | 0.271457 |
| non-human sources | 0.284305 |
| people | 0.305658 |
| microbes | 0.423411 |
| growth | 0.32513 |
| Antimicrobial resistance | 0.334309 |
| resistant organisms | 0.380903 |
| humans | 0.294665 |
| resistant strains | 0.346403 |
|
CLICK HERE |
| 16231 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Schools Tools & Resources |
null |
| Microsoft PowerPoint file | 0.487111 |
| ePub file | 0.427545 |
| Youth Obesity Maps | 0.483087 |
| School Health Guidelines | 0.635612 |
| Microsoft Word file | 0.490791 |
| Effective Health Education | 0.532904 |
| navigation Skip | 0.428791 |
| Clifton Road Atlanta | 0.44516 |
| Childhood Obesity Facts | 0.481388 |
| National Health Education | 0.648938 |
| Microsoft Excel file | 0.485472 |
| Education Curriculum Analysis | 0.975528 |
| Body Mass Index | 0.47823 |
| Tweet Share Compartir | 0.465462 |
| Quality Physical Education | 0.520904 |
| list Skip | 0.435605 |
| School Nutrition Childhood | 0.515039 |
| page options Skip | 0.532778 |
| Chronic Disease Management | 0.465336 |
| different file formats | 0.488905 |
| Curriculum Analysis Tool | 0.98593 |
| Apple Quicktime file | 0.481731 |
| Local School Wellness | 0.499279 |
| Health Education Standards | 0.649756 |
| School Physical Activity | 0.543823 |
|
| CDC A-Z | 0.437226 |
| School Health Services | 0.564199 |
| Training Professional Development | 0.476745 |
| Adobe PDF file | 0.48311 |
| Chronic Conditions Asthma | 0.459645 |
| Healthy School Resources | 0.594564 |
| Healthy Youth | 0.494326 |
| email address | 0.578817 |
| Physical Education | 0.66832 |
| Search Form Controls | 0.655851 |
| Physical Activity | 0.689668 |
| Physical Education Curriculum | 0.639971 |
| School Health Index | 0.745563 |
| Childhood Obesity Prevention | 0.481481 |
| Professional Development | 0.51176 |
| Search Controls | 0.500616 |
| Youth Physical Activity | 0.517412 |
| Health Education Curriculum | 0.870821 |
| Physical Activity Physical | 0.542881 |
| Chronic Disease Prevention | 0.449018 |
| Healthy Schools | 0.782376 |
| Email Updates | 0.480214 |
| Education Standards Standard | 0.512876 |
| Oral Health | 0.446174 |
|
CLICK HERE |
| 16445 |
Centers for Disease Control and Prevention |
Html |
en |
Comparative Analysis of Five Observational Audit Tools toAssess the Physical Environment of Parks for Physical Activity,2016 |
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. |
| community members | 0.416058 |
| audit tools | 0.787421 |
| PARA | 0.345823 |
| data collectors | 0.327932 |
| Active Living Research | 0.236024 |
| public health practitioners | 0.549205 |
| inter-rater reliability estimates | 0.331718 |
| Environment Audit Tool | 0.20809 |
| Physical Activity Resource | 0.210425 |
| features | 0.317259 |
| assessment | 0.247682 |
| parks | 0.240193 |
| measures | 0.393884 |
| Open Space Tool | 0.25072 |
| BRAT-DO | 0.275964 |
| Community Park Audit | 0.263329 |
| physical environment | 0.236088 |
| presence | 0.379887 |
| Living Research website | 0.239271 |
|
| park | 0.412472 |
| EAPRS | 0.391657 |
| good-to-high inter-rater reliability | 0.20001 |
| Park Audit Tool | 0.282494 |
| park audit tools | 0.257104 |
| prominent audit tools | 0.253545 |
| researchers | 0.206494 |
| inter-rater reliability | 0.671982 |
| park-based physical activity | 0.347913 |
| data collection method | 0.261294 |
| physical activity | 0.91074 |
| Public Open Space | 0.235685 |
| observational audit tools | 0.420606 |
| environmental audit tools | 0.209513 |
| validity | 0.201156 |
| items | 0.3963 |
| inter-rater agreement | 0.203361 |
| CPAT | 0.520677 |
| physical activity studies | 0.213328 |
|
CLICK HERE |