| 1208 |
Centers for Disease Control and Prevention |
Html |
en |
Helping Children with Congenital CMV | CDC Features |
Help children with congenital CMV infection develop to their full potential. |
| congenital CMV develop | 0.431485 |
| health problems | 0.240817 |
| congenital CMV | 0.94481 |
| congenital CMV infection | 0.765381 |
|
| CMV infection develop | 0.328942 |
| congenital cytomegalovirus | 0.242751 |
| congenital CMV disease | 0.471341 |
|
CLICK HERE |
| 7415 |
Centers for Disease Control and Prevention |
Html |
en |
Emergency and Environmental Health Services: Improving the Practice of Environmental Health |
NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| cruise ship industry | 0.582846 |
| Health Services advances | 0.641406 |
| Technical expertise | 0.446088 |
| Surveillance data | 0.439076 |
| sanitation inspections | 0.470169 |
| chemical warfare agents | 0.997802 |
| environmental health programs | 0.604549 |
| Monitors gastrointestinal illnesses | 0.569315 |
| highest risk children | 0.552676 |
| Safe Water | 0.442415 |
| foodborne illnesses | 0.455429 |
| National Center | 0.461629 |
| cruise ship | 0.604093 |
| construction inspections | 0.436695 |
| Vessel Sanitation Program | 0.588778 |
| U.S. disposal facility | 0.573039 |
| emergency preparedness | 0.461868 |
| chemical weapons elimination | 0.853621 |
| safe disposal | 0.459915 |
| Blue Grass | 0.43691 |
| response efforts | 0.453888 |
| practice-based research | 0.447491 |
| limited resources | 0.439847 |
| lead exposure | 0.448234 |
| Poisoning Prevention Program | 0.614092 |
|
| highly hazardous chemicals | 0.559811 |
| environmental public health | 0.680933 |
| Control Communicable Diseases | 0.541855 |
| Environmental Health/Division | 0.486092 |
| United States | 0.461337 |
| prevents childhood | 0.459838 |
| program’s resources | 0.460408 |
| Weapons Elimination team | 0.58017 |
| health departments | 0.473101 |
| funded program | 0.477027 |
| U.S. Army | 0.445945 |
| public health | 0.796779 |
| Lead surveillance | 0.464119 |
| recreational water | 0.437027 |
| cruise ships | 0.465012 |
| nonstockpile chemical warfare | 0.614546 |
| environmental health practitioners | 0.602843 |
| Healthy community design | 0.582912 |
| public health practices | 0.588732 |
| Public Health Service | 0.583703 |
| childhood lead poisoning | 0.86423 |
| independent oversight | 0.446432 |
| lead poisoning prevention | 0.852702 |
| technical guidance | 0.458386 |
|
CLICK HERE |
| 10187 |
Centers for Disease Control and Prevention |
Html |
en |
Radiation Emergencies | Resource Library - Countermeasures |
Resource Library materials for the Radiation Studies Branch. Focused on information around medical treatments or countermeasures related to radiation emergencies. Provided by the Centers for Disease Control and Prevention (CDC). |
| better understanding | 0.354902 |
| CDC | 0.282394 |
| link | 0.230471 |
| Strategic National Stockpile | 0.520002 |
| description | 0.229343 |
| Click | 0.2318 |
| type | 0.232727 |
| radiation exposure | 0.730169 |
| internal contamination | 0.468483 |
| American public | 0.358196 |
| Image file | 0.35336 |
| radioactive material | 0.390494 |
| Neupogen® | 0.232293 |
| large quantities | 0.369813 |
| training module | 0.34852 |
| prussian blue | 0.498203 |
|
| Blue Works | 0.352778 |
| clinicians | 0.234509 |
| public health emergency | 0.480259 |
| protective actions | 0.350643 |
| treatment Filgrastim | 0.376331 |
| KI | 0.278111 |
| potassium iodide | 0.809918 |
| PDF file | 0.354528 |
| medical treatments | 0.483621 |
| medical countermeasures | 0.606822 |
| medical supplies | 0.361204 |
| radiation emergency | 0.427781 |
| possible side effects | 0.358375 |
| Cutaneous Radiation Injury | 0.90281 |
| possible health effects | 0.458426 |
| information | 0.357505 |
|
CLICK HERE |
| 10627 |
Centers for Disease Control and Prevention |
Html |
en |
Creating the MAHC: Technical Committees | Model Aquatic Health Code |
null |
| chemical storage areas | 0.580136 |
| contamination burden | 0.707957 |
| appropriate air quality | 0.575593 |
| regular communication | 0.56784 |
| supplemental disinfection processes | 0.595133 |
| Water Quality Committee | 0.679925 |
| Facilities Technical Committee | 0.628416 |
| scientific information gaps | 0.570748 |
| pool water temperature | 0.577107 |
| Filtration Technical Committee | 0.619032 |
| Supervision Technical Committee | 0.618747 |
| applicable technical committees | 0.606088 |
| Water Quality Technical | 0.627478 |
| Burden Technical Committee | 0.713781 |
| disinfection methodologies | 0.632555 |
| various disinfection methodologies | 0.596409 |
| water quality recommendations | 0.595258 |
| water quality | 0.752722 |
| Steering Committee Liaisons | 0.601223 |
| MAHC Steering Committee | 0.595849 |
| Air Quality Technical | 0.603273 |
| Testing Technical Committee | 0.62319 |
| operator training | 0.580433 |
| Quality Technical Committee | 0.67592 |
| operator certification requirements | 0.572927 |
|
| water quality testing | 0.600361 |
| technical committee | 0.956848 |
| chemical feed systems | 0.57408 |
| lead Technical Committee | 0.632898 |
| water quality issues | 0.591136 |
| removal rate requirements | 0.570754 |
| indoor environmental requirements | 0.569463 |
| respective committees | 0.568852 |
| Contamination Burden Technical | 0.697696 |
| microbial quality | 0.572054 |
| Construction Technical Committee | 0.626634 |
| water clarity | 0.574054 |
| MAHC Development page | 0.569015 |
| overlap areas | 0.574337 |
| technical committees | 0.763299 |
| Training Technical Committee | 0.62359 |
| requirements | 0.573999 |
| Technical Committee activities | 0.634756 |
| Operation Technical Committee | 0.624807 |
| Technical Committee scope | 0.628591 |
| Steering Committee | 0.622729 |
| Aquatic Health Code | 0.570402 |
| Administration Technical Committee | 0.615269 |
| MAHC technical committees | 0.615843 |
|
CLICK HERE |
| 10640 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Resources' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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 |
| 11762 |
Centers for Disease Control and Prevention |
Html |
en |
2014 Ebola Outbreak in West Africa - Outbreak Distribution Map |
null |
| World Health Organization | 0.386427 |
| Ebola virus transmission | 0.551441 |
| Sierra Leone | 0.215804 |
| countries | 0.250096 |
| large proportion | 0.203997 |
| public health authorities | 0.71591 |
| Ebola cases | 0.275819 |
|
| country classification | 0.532038 |
| widespread transmission | 0.983761 |
| incubation periods | 0.204118 |
| international air travel | 0.358638 |
| control measures | 0.865347 |
| new cases | 0.205876 |
| active surveillance | 0.216651 |
|
CLICK HERE |
| 12748 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: New Vital Signs Report - Secondhand smoke exposure kills |
CDC is releasing the first national estimates of doctor visits and healthcare costs associated with keratitis |
| media availability | 0.807264 |
| half | 0.503494 |
| Non-Media | 0.577019 |
| Tom Frieden | 0.947676 |
| M.D. | 0.486713 |
| briefing | 0.507735 |
| blacks | 0.5242 |
| Noon ET | 0.914315 |
| transcript | 0.599629 |
| children | 0.493107 |
| PASSCODE | 0.563604 |
| M.P.H | 0.5486 |
| Tuesday | 0.496104 |
| poverty | 0.512061 |
| secondhand smoke | 0.965252 |
|
| Important Instructions | 0.874893 |
| SHS | 0.741088 |
| dial | 0.505908 |
| CDC Media | 0.878349 |
| question | 0.696431 |
| Declines | 0.552196 |
| start | 0.486382 |
| touchtone phone | 0.896021 |
| people | 0.494832 |
| exposure | 0.803199 |
| nonsmokers | 0.559478 |
| time | 0.483088 |
| press conference | 0.81309 |
| rental housing | 0.906711 |
|
CLICK HERE |
| 13263 |
Centers for Disease Control and Prevention |
Html |
en |
The Immunization Baby Book (4:16) |
For parents there's no greater joy then watching your child grow up happy and healthy. That's why most parents choose the safe, proven protection of vaccines. |
| National Center | 0.51992 |
| baby book | 0.522184 |
| Immunization | 0.441879 |
| vaccines babies | 0.579397 |
| greater joy | 0.547986 |
| childhood diseases | 0.517617 |
| protection | 0.345664 |
| visit https://www.cdc.gov/vaccines/parents | 0.524881 |
| feedback | 0.342894 |
| preparedness topics | 0.794775 |
| variety | 0.394424 |
|
| children | 0.392653 |
| safety | 0.394208 |
| Respiratory Diseases | 0.51405 |
| safe | 0.345741 |
| different audiences | 0.779248 |
| public health professionals | 0.976221 |
| CDC-TV videos | 0.679996 |
| comment | 0.34489 |
| information | 0.342774 |
| power | 0.343494 |
| age | 0.343218 |
|
CLICK HERE |
| 13628 |
Centers for Disease Control and Prevention |
Html |
en |
Gynecologic Cancer Awareness Feature |
Learn about the five main kinds of gynecologic cancer: cervical, ovarian, uterine, vaginal, and vulvar. When gynecologic cancers are found and treated early, treatment works best. |
| 12-year-old girls | 0.41536 |
| sexually transmitted infection | 0.506216 |
| vulvar cancer | 0.454852 |
| gynecologic cancer | 0.787341 |
| HPV types | 0.459032 |
| Knowledge | 0.344525 |
| gynecologic cancers | 0.962089 |
| vaginal bleeding | 0.444612 |
| talk | 0.341547 |
| Pap test | 0.814244 |
| Gynecologic Cancer campaign | 0.635017 |
| ovarian cancer | 0.551332 |
| HPV test | 0.453488 |
| Pap test screens | 0.548104 |
| general U.S. population | 0.491109 |
| cervical cancer | 0.770923 |
| PSAs | 0.328967 |
| public service announcements | 0.514634 |
| BRCA gene mutation | 0.490564 |
| human papillomavirus | 0.420143 |
| BRCA genes | 0.479808 |
| women | 0.509547 |
| woman | 0.323025 |
| print materials | 0.418003 |
| United States | 0.419924 |
|
| HPV vaccine | 0.465478 |
| survivor stories | 0.415775 |
| HPV | 0.479775 |
| genetic counseling | 0.40505 |
| risk increases | 0.429198 |
| screen women | 0.409739 |
| ovarian cancer risk | 0.543195 |
| treatment works | 0.407454 |
| main types | 0.527991 |
| cervix | 0.323855 |
| unexplained signs | 0.417191 |
| person’s risk | 0.398816 |
| young men | 0.411347 |
| HPV tests | 0.448296 |
| unclear Pap test | 0.54395 |
| Facts | 0.321401 |
| doctor | 0.367926 |
| HPV infection | 0.450086 |
| screening test | 0.408257 |
| family history | 0.406101 |
| vulvar cancers | 0.603768 |
| cell changes | 0.405384 |
| breast | 0.333332 |
| reproductive organs | 0.423452 |
|
CLICK HERE |
| 15857 |
Centers for Disease Control and Prevention |
Html |
en |
Association Between User-Generated Commuting Data andPopulation-Representative Active Commuting Surveillance Data - FourCities, 2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| transportation officials | 0.494218 |
| active transportation programs | 0.560702 |
| U.S. cities | 0.523482 |
| higher block group | 0.497114 |
| GPS-based commuting data | 0.495315 |
| rank block groups | 0.496131 |
| number | 0.487534 |
| population density | 0.593834 |
| GPS-tracked data sources | 0.50622 |
| active transportation data | 0.667143 |
| non-work active transportation | 0.499146 |
| active transportation | 0.953258 |
| public health surveillance | 0.572828 |
| ACS samples | 0.500699 |
| block group estimates | 0.500222 |
| User-generated GPS data | 0.504512 |
| block group level | 0.504577 |
| user-generated active transportation | 0.65995 |
| block groups | 0.795709 |
| population-representative active transportation | 0.513961 |
| general U.S. population | 0.482884 |
| census block groups | 0.517093 |
| population-representative commuting data | 0.495192 |
| public health practice | 0.479923 |
| ACS active commuters | 0.800198 |
|
| ACS commuter variables | 0.502229 |
| application users | 0.509091 |
| GPS-tracked active commuters | 0.547925 |
| traditional active transportation | 0.559652 |
| active transportation surveillance | 0.640386 |
| GPS-tracked commuters | 0.628709 |
| GPS-tracked commuting data | 0.497135 |
| ACS cycles | 0.495666 |
| GPS-tracked active transportation | 0.52346 |
| general population | 0.493775 |
| higher population density | 0.476658 |
| block group | 0.770412 |
| user-generated data | 0.482316 |
| public health | 0.609312 |
| block group population | 0.548516 |
| data collection | 0.506339 |
| in-person data collection | 0.480745 |
| physical activity | 0.51674 |
| Census block group | 0.508739 |
| San Francisco | 0.579883 |
| user-generated GPS-tracked | 0.502146 |
| ACS respondents | 0.484546 |
| transportation surveillance systems | 0.500767 |
| public health priority | 0.477993 |
|
CLICK HERE |