| 542 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | An Effective Community"Academic Partnership to Extend the Reach of Screenings for Fall Risk - CDC |
Older adults should be screened for fall risk annually. Community providers (people without formal medical training who work with older adults in senior centers or aging services) may be a viable group to expand the reach of screenings. |
| North Carolina | 0.550946 |
| screening algorithm administration | 0.414417 |
| risk screening event | 0.427067 |
| fall prevention | 0.472759 |
| community sites | 0.417029 |
| Western Carolina University | 0.383592 |
| risk screening algorithm | 0.505921 |
| fall risk screenings | 0.454147 |
| health care providers | 0.480409 |
| evidence-based fall risk | 0.447837 |
| screening events | 0.432632 |
| fall prevention coalition | 0.462952 |
| host screening events | 0.424008 |
| community providers | 0.988806 |
| standardized screening questions | 0.40623 |
| fall risk | 0.885566 |
| training workshops | 0.457426 |
| Western North Carolina | 0.415197 |
| community screenings | 0.39216 |
| high fall risk | 0.384378 |
| performance-based screening skills | 0.412615 |
| regional fall prevention | 0.390483 |
| Carolina Falls Prevention | 0.390008 |
| Falls Prevention Awareness | 0.387145 |
| older adult population | 0.388264 |
|
| fall prevention services | 0.386517 |
| community service providers | 0.428598 |
| standardized screening process | 0.4125 |
| low fall risk | 0.384475 |
| fall risk category | 0.388092 |
| National Falls Prevention | 0.387148 |
| North Carolina Fall | 0.417702 |
| Falls Prevention Coalition | 0.393014 |
| Carolina Fall Prevention | 0.417698 |
| screening confidence | 0.392113 |
| Evidence-based screening tools | 0.413352 |
| health care | 0.515036 |
| risk screening events | 0.426835 |
| effective fall risk | 0.397324 |
| North Carolina Falls | 0.390011 |
| older adult | 0.404123 |
| future fall risk | 0.39019 |
| balance screening | 0.386978 |
| fall risk screen | 0.39601 |
| additional community providers | 0.398931 |
| older adults | 0.783282 |
| fall risk screening | 0.761188 |
| annual fall risk | 0.399286 |
| community-based fall risk | 0.396833 |
|
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| 5289 |
Centers for Disease Control and Prevention |
Html |
en |
Chemical Emergencies Overview |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| everyday items | 0.59938 |
| CDC | 0.440287 |
| contaminated clothing | 0.591537 |
| Chemical releases | 0.669688 |
| public health practitioners | 0.751708 |
| ammonia | 0.441785 |
| hazardous chemicals | 0.970368 |
| sarin | 0.454858 |
| phosgene | 0.434964 |
| chemical warfare agents | 0.847971 |
| chemical emergency information | 0.979064 |
| Disease Control | 0.596923 |
| following websites | 0.585239 |
| industrial accident | 0.609584 |
| toxicology FAQs | 0.587716 |
| Responders page | 0.618714 |
| potential | 0.436191 |
| case definitions | 0.586316 |
| household cleaners | 0.597865 |
| nerve agents | 0.618397 |
| Basic chemical emergency | 0.801597 |
| toxicological profiles | 0.602603 |
| Web site | 0.728474 |
| chemical emergencies | 0.64068 |
| Examples | 0.435175 |
|
| medical management guidelines | 0.754521 |
| terrorist attack | 0.617028 |
| general information | 0.598717 |
| VX | 0.452093 |
| military organizations | 0.616004 |
| terrorists | 0.444983 |
| emergency response cards | 0.765827 |
| Laboratory Information page | 0.763954 |
| example | 0.471683 |
| Chemical Agents | 0.64388 |
| chemical-specific fact sheets | 0.73694 |
| event | 0.438882 |
| evacuation | 0.43637 |
| nature | 0.434374 |
| nitrogen mustards | 0.688254 |
| toxic syndrome descriptions | 0.752927 |
| people | 0.633302 |
| hazardous chemical | 0.742697 |
| benzene | 0.447879 |
| chlorine | 0.439902 |
| key role | 0.635631 |
| A–Z List | 0.593942 |
| sulfur mustards | 0.692522 |
| poisonous plants | 0.609709 |
|
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| 5464 |
Centers for Disease Control and Prevention |
Html |
en |
Acetic anhydride - 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 |
|
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| 5570 |
Centers for Disease Control and Prevention |
Html |
en |
1,1,2,2-Tetrachloroethane - 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 |
|
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| 9873 |
Centers for Disease Control and Prevention |
Html |
en |
Prescription Painkiller Overdoses in the US infographic |
CDC Vital Signs - Prescription Painkiller Overdoses in the US |
| North Carolina | 0.407087 |
| prescription painkiller | 0.864254 |
| Utah | 0.249089 |
| States | 0.482707 |
| treatment admissions | 0.558311 |
| treatment admission | 0.321535 |
| prescription painkiller sales | 0.787408 |
| Kentucky | 0.249408 |
| California | 0.248964 |
| Florida | 0.249375 |
| Delaware | 0.249144 |
| Pennsylvania | 0.248907 |
| Mississippi | 0.248785 |
| prescription painkiller treatment | 0.521055 |
| Maryland | 0.249111 |
| Idaho | 0.249384 |
| Oregon | 0.249888 |
| Vermont | 0.249198 |
| United States | 0.342423 |
| Maine | 0.249728 |
| Oklahoma | 0.24952 |
| Tennessee | 0.248927 |
| lowest amounts | 0.323369 |
| Alabama | 0.248901 |
| Arkansas | 0.249026 |
|
| South Carolina | 0.406891 |
| Washington | 0.301268 |
| West Virginia | 0.427392 |
| overdose death rates | 0.861198 |
| prescription painkiller deaths | 0.59326 |
| Alaska | 0.249154 |
| kilograms | 0.50554 |
| North Dakota | 0.406968 |
| Wisconsin | 0.248852 |
| Nevada | 0.249579 |
| drug overdose deaths | 0.485294 |
| Rhode Island | 0.431363 |
| New York | 0.411718 |
| drug overdose death | 0.868908 |
| South Dakota | 0.406798 |
| people | 0.758054 |
| lowest rates | 0.313086 |
| New Jersey | 0.41391 |
| Michigan | 0.249317 |
| prescription painkillers | 0.979987 |
| highest amounts | 0.323432 |
| highest drug overdose | 0.430619 |
| New Mexico | 0.415836 |
| New Hampshire | 0.416152 |
|
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| 10732 |
Centers for Disease Control and Prevention |
Html |
en |
Ionizing Radiation and Diagnostic Exams - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Radiation: Ionizing Radiation and Diagnostic Exams |
| abdominal pains | 0.303353 |
| large number | 0.303387 |
| diagnostic exams | 0.612018 |
| PET scans | 0.299379 |
| radiation experts | 0.439376 |
| diagnostic examinations | 0.313324 |
| Medical Imaging | 0.38357 |
| mental retardation | 0.311805 |
| diagnostic scan uses | 0.381939 |
| children | 0.257902 |
| medical condition | 0.298832 |
| large amounts | 0.308633 |
| diagnostic tests | 0.310735 |
| Lauren | 0.263485 |
| benefit | 0.233585 |
| fluoroscopy exams | 0.333829 |
| tests | 0.321831 |
| older age | 0.301614 |
| skin burns | 0.301312 |
| ionizing radiation | 0.720967 |
| medical tests | 0.304098 |
| fetus | 0.243534 |
| CT scans | 0.316144 |
| parents | 0.252245 |
| benefits | 0.233872 |
|
| radiation increases | 0.457743 |
| harm | 0.243207 |
| medically necessary imaging | 0.371699 |
| high levels | 0.302893 |
| possible concussion | 0.309191 |
| radiation exposure | 0.470887 |
| CT/CAT scans | 0.299438 |
| correct diagnosis | 0.295349 |
| medical x-rays | 0.324829 |
| old football player | 0.379248 |
| adverse health effects | 0.399046 |
| small increase | 0.29807 |
| diagnostic ionizing radiation | 0.620639 |
| recent football game | 0.37844 |
| CT scan | 0.388284 |
| James | 0.306685 |
| beneficial uses | 0.316143 |
| younger age | 0.303734 |
| greater opportunity | 0.30391 |
| exposures | 0.249511 |
| medical test | 0.301558 |
| radiation | 0.917366 |
| higher lifetime risk | 0.390118 |
| future pregnancies | 0.3028 |
|
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| 11047 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Botulism From Drinking Prison-Made Illicit Alcohol — Arizona, 2012 |
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. |
| Human Services | 0.656727 |
| U.S. Department | 0.655019 |
| MMWR HTML versions | 0.65186 |
| Seema Yasmin | 0.663481 |
| electronic PDF version | 0.651863 |
| heptavalent botulinum antitoxin | 0.710439 |
| prison authorities | 0.694087 |
| botulinum toxin | 0.733606 |
| bacterium Clostridium botulinum | 0.73748 |
| Vista Medical Center | 0.646182 |
| prison staff education | 0.762612 |
| prison A inmate | 0.736391 |
| different inmates | 0.651659 |
| prison store | 0.695339 |
| cranial nerve palsies | 0.671718 |
| maximum security prison | 0.944039 |
| previous outbreak | 0.641713 |
| original paper copy | 0.6456 |
| botulism | 0.934795 |
| Pinal County Dept | 0.659207 |
| Jamae F. Morris | 0.643687 |
| outbreak source | 0.729094 |
| percutaneous endoscopic gastrostomies | 0.664484 |
| Clarisse A. Tsang | 0.659749 |
|
| Health Services | 0.690405 |
| Tara C. Anderson | 0.647132 |
| botulism outbreaks | 0.825646 |
| original MMWR paper | 0.658238 |
| U.S. Government Printing | 0.652567 |
| type A. Pruno | 0.699633 |
| pruno-related botulism | 0.770414 |
| Laura E. Adams | 0.638892 |
| male inmates | 0.752536 |
| Utah maximum security | 0.656396 |
| commonly used ingredients | 0.6559 |
| prison kitchen | 0.696475 |
| Agam K. Rao | 0.658716 |
| drinking pruno | 0.768381 |
| future outbreaks | 0.697287 |
| Clostridium botulinum bacteria | 0.717592 |
| Pinal County Health | 0.694039 |
| Janet K. Dykes | 0.649099 |
| pruno production | 0.690468 |
| recent outbreak | 0.640236 |
| respiratory muscle paralysis | 0.654119 |
| Rajal K. Mody | 0.662453 |
| positive clinical specimen | 0.671215 |
| California prison | 0.773883 |
|
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| 11320 |
Centers for Disease Control and Prevention |
Html |
en |
Organization Assessment Tools |
This page provides tools and resources for researching and evaluating health literacy practice. |
| Public Health | 0.508141 |
| usable health information | 0.560751 |
| develop materials | 0.513186 |
| Literacy Universal Precautions | 0.703116 |
| HHS Office | 0.468457 |
| Index Score Sheet | 0.505015 |
| Group Health Research | 0.547014 |
| Health Literate Organizations | 0.558089 |
| Health Information Technology | 0.560749 |
| HHS AHRQ National | 0.539696 |
| Achieving Organizational Change | 0.50407 |
| health care research | 0.548172 |
| health literacy skills | 0.642049 |
| Universal Precautions Toolkit | 0.610984 |
| Health Centers | 0.510955 |
| Federal Plain Language | 0.516394 |
| Minority Health | 0.498427 |
| Federal usability information | 0.512931 |
| AHRQ Health Literacy | 0.753337 |
| Disease Control | 0.507141 |
| multiple stakeholders | 0.462881 |
| Health Technology Assessment | 0.551646 |
| address its health | 0.52245 |
| Unity Point Health | 0.553031 |
|
| Healthcare Facility Literacy-Friendly | 0.518192 |
| current situation | 0.463838 |
| Healthcare Research | 0.624138 |
| NIH National Library | 0.570253 |
| General Assessment Tools | 0.527238 |
| Medicine Evidence-based Practice | 0.499767 |
| health literacy issues | 0.732673 |
| Health Literacy Environment | 0.655657 |
| Mass Media News | 0.497318 |
| honest assessment | 0.477976 |
| Emergency Risk Communication | 0.501291 |
| Develop Materials section | 0.511261 |
| Health Literacy Universal | 0.729734 |
| Plain Language Action | 0.51623 |
| health literacy | 0.939868 |
| plain language | 0.550249 |
| Emergency Risk Messaging | 0.496698 |
| Limited Literacy | 0.541553 |
| Linguistically Appropriate Services | 0.506534 |
| National Culturally | 0.461563 |
| training opportunities | 0.460365 |
| Information Network | 0.476231 |
| Health Literacy Assessment | 0.671265 |
|
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| 15285 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage among Children Aged 6-23 Months - United States, 2008-09 Influenza Season |
Number of children between the ages of 6 months through 23 months that were vaccinated against flu during 2008-2009. |
| influenza | 0.973354 |
| Immunization Practices recommendation | 0.368451 |
| influenza vaccination-coverage measures | 0.483591 |
| doses | 0.532404 |
| vaccine naïve children | 0.527911 |
| children’s vaccination | 0.416564 |
| influenza vaccination coverage | 0.694449 |
| Los Angeles County | 0.369549 |
| emergency department visits | 0.373456 |
| Later-season vaccination | 0.390819 |
| influenza dose | 0.495247 |
| 2010-11 seasonal influenza | 0.526727 |
| seasonal influenza vaccination | 0.580422 |
| vaccination algorithm | 0.395197 |
| Immunization Practices | 0.379976 |
| Advisory Committee | 0.379496 |
| children | 0.846065 |
| percentage | 0.383533 |
| seasonal influenza vaccine. | 0.471142 |
| seasonal influenza vaccine | 0.526978 |
| National Immunization Survey | 0.433267 |
| influenza vaccine | 0.968173 |
| single annual doses | 0.401434 |
| influenza season | 0.848059 |
|
| provider-reported immunization records | 0.370507 |
| 2007-08 influenza season | 0.485523 |
| influenza vaccinations | 0.474802 |
| seasonal influenza vaccinations | 0.470229 |
| provider-reported influenza vaccination | 0.576957 |
| vaccination coverage data | 0.42457 |
| vaccination efforts | 0.394258 |
| 2009 NIS interviews | 0.374845 |
| influenza vaccination | 0.913736 |
| previous influenza season | 0.598117 |
| routine vaccination | 0.399106 |
| Provider-reported vaccination records | 0.41736 |
| dose | 0.580744 |
| local areas | 0.416833 |
| vaccination providers | 0.410488 |
| vaccination period | 0.392465 |
| 2009 monovalent vaccine should receive | 0.426551 |
| vaccination data | 0.393493 |
| monovalent vaccine history | 0.388401 |
| NIS | 0.38195 |
| El Paso County | 0.36818 |
| time | 0.367642 |
| interview | 0.385185 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field: Acute Mercury Poisoning After HomeGold and Silver Smelting - Iowa, 2014 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| heavy metal testing | 0.573583 |
| 1Epidemic Intelligence Service | 0.550324 |
| acute care facility | 0.59871 |
| blood mercury level | 0.916876 |
| mask filter cartridge | 0.564159 |
| negative pressure fan | 0.552341 |
| mercury exposure depend | 0.825866 |
| military gas mask | 0.577213 |
| mercury | 0.983796 |
| poison control centers | 0.550361 |
| testing commercial laboratory | 0.571438 |
| chelation therapy | 0.576699 |
| Adverse health effects | 0.576671 |
| smelting chemicals | 0.56878 |
| precious metals recovery | 0.554508 |
| elevated blood mercury | 0.761114 |
| cable television | 0.57195 |
| precious metals | 0.594148 |
| elemental mercury exposure | 0.954831 |
| regional poison control | 0.548603 |
| Samir Koirala | 0.601954 |
| acute respiratory failure | 0.61291 |
| exposure information | 0.576135 |
| long-term–care facility | 0.572987 |
|
| heavy metal exposure | 0.637292 |
| intensive care unit | 0.568667 |
| Health care providers | 0.581478 |
| Internet retailers | 0.5827 |
| cable television documentaries | 0.545689 |
| residual mercury contamination | 0.750406 |
| acute respiratory distress | 0.615428 |
| acute elemental mercury | 0.76947 |
| Home Gold | 0.529885 |
| Silver Smelting | 0.612159 |
| local emergency department | 0.608398 |
| Iowa Department | 0.556955 |
| public health officials | 0.824061 |
| smelting activities | 0.58328 |
| inorganic mercury compounds | 0.735901 |
| acute mercury exposure | 0.844097 |
| Acute Mercury Poisoning | 0.844566 |
| portable mercury vapor | 0.752042 |
| state public health | 0.586825 |
| gold mining processes | 0.56785 |
| air mercury level | 0.75698 |
| liquid mercury | 0.66957 |
| different smelting techniques | 0.694365 |
|
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