| 1295 |
Centers for Disease Control and Prevention |
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Leap Into Fall! | CDC Features |
Autumn is a great time to engage in physical activities outdoors. |
| County Health Department | 0.516431 |
| great time | 0.522934 |
| street design improvements | 0.501063 |
| community health programs | 0.604224 |
| safe places | 0.521385 |
| Building Healthy Places | 0.515042 |
| active living | 0.467907 |
| Disease Control | 0.46397 |
| exercise equipment | 0.464534 |
| joint use agreements | 0.571264 |
| school districts | 0.517762 |
| Broward County | 0.517652 |
| overall health | 0.466758 |
| Community members | 0.472809 |
| healthy living | 0.51434 |
| common hurdle | 0.466564 |
| beautiful outdoors | 0.466069 |
| web sites | 0.499824 |
| open spaces | 0.471364 |
| local recreational buildings | 0.515481 |
| community design | 0.473119 |
| following web sites | 0.497862 |
| physically active lifestyle | 0.503294 |
| recreational facilities | 0.514976 |
|
| physical activity opportunities | 0.558404 |
| community centers | 0.470917 |
| fresh air | 0.466268 |
| outdoor activity | 0.482987 |
| joint-use agreements | 0.46445 |
| chronic health conditions | 0.541036 |
| public spaces | 0.468418 |
| physical activity rates | 0.541421 |
| heart disease | 0.468463 |
| afterschool programs | 0.46535 |
| weight management classes | 0.509523 |
| chronic diseases | 0.631263 |
| healthier community planning | 0.514422 |
| better street lighting | 0.505708 |
| outdoor activities | 0.467477 |
| fun activities | 0.464219 |
| athletic facilities | 0.462919 |
| people | 0.474316 |
| physical activity | 0.934049 |
| simple solutions | 0.463302 |
| community settings | 0.470581 |
| physical activities outdoors | 0.62841 |
| early child care | 0.517852 |
| recreational environments | 0.462611 |
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| 4488 |
Centers for Disease Control and Prevention |
Html |
en |
CDC A-Z Index - S |
CDC A-Z Index |
| Salmonella Infection | 0.863076 |
| HPV Infection | 0.792193 |
| Staphylococcus aureus Infection | 0.877451 |
| Strategic National Stockpile | 0.687682 |
| Virus Infection | 0.839224 |
| Shiga toxin-producing E. | 0.688844 |
| Salmonella typhi infection | 0.866702 |
| Treponema pallidum Infection | 0.92822 |
| Fever Group Rickettsia | 0.708568 |
| Disease Surveillance Reports | 0.7256 |
| Sudden Infant Death | 0.679175 |
| Transmitted Disease Surveillance | 0.738217 |
| Simplex Virus Infection | 0.83372 |
| Southern Tick-Associated Rash | 0.670841 |
| Sore Mouth Infection | 0.82494 |
| Strongyloides Infection | 0.779899 |
| Surgical Site Infection | 0.912818 |
| infection | 0.990233 |
| [Schistosoma Infection] | 0.85757 |
| Local Integrated Telephone | 0.686852 |
| [Trichomonas Infection] | 0.839079 |
| Search Form Controls | 0.71663 |
| Sappinia Infection | 0.832684 |
| Social Vulnerability Index | 0.693108 |
|
| Skin Cancer | 0.631053 |
| Statistical Analysis Battery | 0.685513 |
| Streptococcus pneumoniae Infection | 0.812028 |
| A-Z Index | 0.865889 |
| Territorial Support Gateway | 0.745952 |
| CDC Speakers Bureau | 0.662461 |
| Strep Infection | 0.942851 |
| Sporothrix schenckii infection | 0.837085 |
| School Health Index | 0.717489 |
| toxin-producing E. coli | 0.686371 |
| State Injury Surveillance | 0.641947 |
| Sexually Transmitted Disease | 0.766457 |
| Human Papillomavirus Infection | 0.838167 |
| Search The CDC | 0.652456 |
| Acute Respiratory Syndrome | 0.693031 |
| Sinus Infection | 0.793157 |
| Surveillance Data Platform | 0.715812 |
| self-management education | 0.821671 |
| Tick-Associated Rash Illness | 0.667286 |
| Sexually Transmitted Diseases | 0.710375 |
| Infant Death Syndrome | 0.748956 |
| Integrated Telephone Survey | 0.683598 |
| Shigella Infection | 0.821612 |
| CDC A-Z Index | 0.763191 |
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| 7588 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom - CDC and FDA Joint Telebriefing on Investigation of Meningitis Outbreak |
CDC Telebriefing on West Nile Virus Update |
| Policy | 0.337772 |
| FDA | 0.410349 |
| CDC | 0.424524 |
| Non-Media | 0.389147 |
| Chief | 0.337169 |
| updates | 0.342248 |
| briefing | 0.349361 |
| Public Health | 0.893382 |
| Prevention | 0.338471 |
| Multistate Meningitis Outbreak | 0.975185 |
| DIAL-IN | 0.370365 |
| Healthcare Quality Promotion | 0.744766 |
| Deborah M. Autor | 0.798463 |
| multistate investigation | 0.663954 |
| U.S. DEPARTMENT | 0.526299 |
| MD | 0.372525 |
| PASSCODE | 0.386121 |
| Division | 0.338372 |
| Important Instructions | 0.533405 |
| dial | 0.3481 |
| Health Care Safety | 0.74903 |
| Madeleine Biondolillo | 0.55417 |
|
| Response Branch | 0.542846 |
| question | 0.425553 |
| Incident Manager | 0.551318 |
| patients | 0.342079 |
| Director | 0.337412 |
| spine | 0.349489 |
| medication | 0.347832 |
| epidural steroid injection | 0.853361 |
| touchtone phone | 0.553632 |
| joint injections | 0.589066 |
| Deputy Commissioner | 0.569106 |
| Thursday | 0.345125 |
| Massachusetts Department | 0.761317 |
| J. Todd Weber | 0.761796 |
| Global Regulatory Operations | 0.740508 |
| HUMAN SERVICES | 0.517046 |
| JD | 0.348786 |
| telephone-only media availability | 0.788643 |
| 15 minutes | 0.336703 |
| time | 0.336377 |
| press conference | 0.71371 |
|
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| 10588 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Database - Case file: The Spazzzoids -BAM! |
null |
| tetanus bacteria | 0.648091 |
| great risk | 0.278564 |
| tetanus immunization | 0.568705 |
| severe muscle spasms | 0.36714 |
| dirty places | 0.280638 |
| triple-protector vaccine | 0.339173 |
| tetanus | 0.987259 |
| heartless attacker | 0.294993 |
| intense stiffness | 0.286938 |
| U.S. soldiers | 0.277606 |
| earliest tetanus vaccine | 0.696775 |
| CRIMINAL RECORD | 0.280602 |
| huge door | 0.280384 |
| tetanus bacteria substance | 0.648073 |
| basic health care | 0.336932 |
| country’s soldiers | 0.277435 |
| rusty nail | 0.293897 |
| dead toxin | 0.287966 |
| extra special care | 0.338576 |
| bare foot steps | 0.368574 |
| real lowlife | 0.301946 |
| vaccine’s protection | 0.33328 |
| common way | 0.279615 |
| Tetanus attacks | 0.588198 |
| animal bite | 0.283439 |
|
| open cut | 0.276762 |
| biggest known successes | 0.339859 |
| vaccine protection | 0.334558 |
| skin injuries | 0.332008 |
| assaults tetanus | 0.605195 |
| favorite filth worldwide | 0.337657 |
| infected people | 0.305242 |
| enemy tetanus | 0.558643 |
| tetanus vaccine | 0.812353 |
| damp places | 0.277142 |
| diseases— diphtheria | 0.28335 |
| World War | 0.278805 |
| proper vaccine dosage | 0.404222 |
| big doorway | 0.278406 |
| soapy water | 0.283175 |
| unvaccinated people | 0.289433 |
| muscle spasms | 0.377618 |
| dirty glass | 0.284343 |
| people | 0.418358 |
| immunized people | 0.30345 |
| clean freak | 0.28223 |
| rusty metal | 0.278029 |
| vaccine hero | 0.33117 |
| raw skin | 0.287563 |
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| 11210 |
Centers for Disease Control and Prevention |
Html |
es |
Salud pública y sequías: retos para el siglo veintiuno |
La sequía es un fenómeno natural en el cual, por un período prolongado, la cantidad de lluvia que cae es menor al promedio, lo que causa escasez de agua. |
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| 11331 |
Centers for Disease Control and Prevention |
Html |
en |
Does the material always explain what the numbers mean? |
The Clear Communication Index (Index) provides a set of research-based criteria to develop and assess public communication products. |
| skin cancer | 0.637483 |
| common type | 0.626902 |
| epidemiologic information | 0.67377 |
| CDC | 0.450282 |
| different things | 0.689444 |
| ounces | 0.458787 |
| numbers | 0.740972 |
| qualitative descriptors | 0.975771 |
| poisonous gas | 0.658785 |
| unexpected place | 0.656138 |
| number | 0.666039 |
| understanding | 0.454207 |
| action | 0.447233 |
| case | 0.500024 |
| health professionals | 0.673967 |
| audience | 0.449733 |
| population health | 0.653201 |
| radon level | 0.731989 |
| high number | 0.639017 |
| difficulty | 0.450002 |
| condition | 0.448089 |
| rare infectious disease | 0.879368 |
| women | 0.520097 |
| radon | 0.758014 |
| main message | 0.702293 |
|
| particular disease | 0.659092 |
| radon problem | 0.742836 |
| reasons | 0.450292 |
| United States | 0.649629 |
| line | 0.450306 |
| description | 0.447813 |
| example | 0.489999 |
| immediate public health | 0.872931 |
| health outcome | 0.670606 |
| health issue | 0.669329 |
| common infectious disease | 0.866765 |
| different people | 0.681835 |
| radon levels | 0.738867 |
| cases | 0.498854 |
| different diseases | 0.66451 |
| words | 0.453906 |
| breast cancer | 0.811022 |
| large group | 0.652357 |
| people | 0.68895 |
| home | 0.566346 |
| material | 0.454338 |
| flu season | 0.659153 |
| particular definition | 0.652423 |
| time | 0.498 |
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| 11759 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Joint Influence of IndividualChoices, Parenting Practices, and Physician Advice on AdolescentObesity, Nebraska, 2008 - CDC |
Reducing childhood obesity remains a public health priority given its high prevalence and its association with increased risk of adult obesity and chronic diseases. The objective of this study was to examine the joint influence of multiple risk factors on adolescent overweight status. |
| Non-Hispanic white youths | 0.290543 |
| adolescent obesity | 0.327457 |
| sports team | 0.298537 |
| latent class analysis | 0.320257 |
| child physical activity | 0.284551 |
| Participant overweight status | 0.28698 |
| Youth Risk Behavior | 0.280057 |
| random-digit-dialed telephone survey | 0.279156 |
| multiple risk | 0.319385 |
| Childhood obesity interventions | 0.283441 |
| obesity prevention | 0.280477 |
| logistic regression | 0.323607 |
| group | 0.393724 |
| unhealthiest dietary behavior | 0.276082 |
| risk factors | 0.480409 |
| adolescents | 0.323108 |
| body mass index | 0.338354 |
| permissive parenting practices | 0.675561 |
| unhealthier dietary behavior | 0.276473 |
| dietary behavior | 0.549823 |
| unhealthy dietary behavior | 0.342889 |
| non-college educated parents | 0.276759 |
| overweight status | 0.43064 |
| physical activity behavior | 0.341858 |
| healthy-weight youths | 0.271183 |
|
| video games | 0.302522 |
| Nebraska Medical Center | 0.361894 |
| study | 0.281603 |
| Group I. Adolescents | 0.27795 |
| youths | 0.439393 |
| Group II youths | 0.301091 |
| healthy dietary behavior | 0.451792 |
| multiple risk factors | 0.31799 |
| adolescent overweight status | 0.333241 |
| modifiable obesity risk | 0.28519 |
| sedentary behavior | 0.271774 |
| public health | 0.276534 |
| different obesity risk | 0.29378 |
| routine physical examination | 0.311659 |
| physical activity yields | 0.283588 |
| physician advice | 0.726583 |
| physical activity | 0.942828 |
| obesity risk factors | 0.468187 |
| latent class | 0.324245 |
| parenting practices | 0.765919 |
| unhealthy eating behaviors | 0.284685 |
| reference group | 0.274087 |
| physical activity patterns | 0.277397 |
| childhood obesity | 0.353678 |
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Centers for Disease Control and Prevention |
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Personal Protective Equipment (PPE) Training | EbolaHemorrhagic Fever |
null |
| health care worker | 0.56245 |
| Printed transcript | 0.417364 |
| role | 0.238541 |
| Donning | 0.497317 |
| Trained Observer | 0.939151 |
| live demonstration | 0.430858 |
| Viewers | 0.254222 |
| particular PPE combination | 0.874491 |
| patient care | 0.407956 |
|
| type | 0.235328 |
| body | 0.235073 |
| Multi-segment training course | 0.671431 |
| subsequent video segments | 0.636114 |
| New York City | 0.561029 |
| Javatis Center | 0.396954 |
| N95/PAPR | 0.235182 |
| respirator | 0.287951 |
| Gown | 0.271907 |
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| 12359 |
Centers for Disease Control and Prevention |
Image |
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Food and Water Safety (300W x 856H) |
null |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
en |
Injuries from Methamphetamine-Related Chemical Incidents -Five States, 2001-2012 |
Natalia Melnikova, MD, PhD1; Maureen F. Orr, MS1; Jennifer Wu, MS1, Bryan Christensen, PhD2. |
| meth cooks | 0.531362 |
| general public | 0.47234 |
| skin irritation injuries | 0.496498 |
| meth producers | 0.566877 |
| fewer meth laboratories | 0.611579 |
| residential meth laboratories | 0.54923 |
| law enforcement officials | 0.8317 |
| children | 0.471443 |
| eye irritation | 0.512321 |
| state health departments | 0.469853 |
| meth-related chemical incidents.* | 0.493039 |
| commonly reported injuries | 0.526619 |
| proper PPE selection | 0.468342 |
| meth incidents | 0.600233 |
| meth laboratories.** | 0.521579 |
| highly addictive drug | 0.472767 |
| persons | 0.468449 |
| precursor drugs | 0.469029 |
| law enforcement official | 0.485547 |
| meth-related chemical incident | 0.527039 |
| public health impact | 0.478929 |
| injured law enforcement | 0.503064 |
| meth laboratory seizures | 0.55381 |
| law enforcement personnel | 0.51209 |
|
| illegal meth production | 0.587896 |
| meth precursors | 0.528177 |
| meth production | 0.742422 |
| states | 0.483884 |
| meth-related incidents | 0.477264 |
| Natalia Melnikova | 0.468126 |
| meth laboratory | 0.565194 |
| meth laboratories | 0.668642 |
| Drug Endangered Children | 0.468049 |
| respiratory irritation | 0.557529 |
| enforcement personnel injuries | 0.472688 |
| meth-related chemical incidents | 0.999387 |
| public health | 0.486054 |
| Public health outreach | 0.469222 |
| law enforcement agencies | 0.478326 |
| meth cook | 0.536054 |
| meth contamination | 0.534646 |
| common meth precursor | 0.571714 |
| chemical incident data | 0.520813 |
| presumed meth production | 0.577977 |
| National Drug Control | 0.513228 |
| Drug Enforcement Agency | 0.473048 |
| dangerous meth situations | 0.550455 |
| fewer meth-related chemical | 0.486871 |
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