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NCIRD | Vaccines Purchased with 317 Funds | Grants and Funding |
NCIRD grants, ncird funding |
| Office | 0.342776 |
| Vaccine Purchased | 0.542066 |
| vaccines | 0.44873 |
| Prevent Disease | 0.514345 |
| new resources | 0.508797 |
| questions | 0.336004 |
| CDC awards | 0.682198 |
| Press Release | 0.517586 |
| Prevention’s Section | 0.504767 |
| VFC | 0.335512 |
| Public Health Fund | 0.737561 |
| Disease Control | 0.507113 |
| NIH Grants | 0.607619 |
| immunization program | 0.550725 |
| majority | 0.342009 |
| cdc budget | 0.901081 |
| underinsured children | 0.553915 |
| Funding Opportunities | 0.542418 |
| U.S. territories | 0.512901 |
| Immunization Grant Program | 0.742655 |
| federal purchase | 0.521241 |
|
| business opportunities | 0.545863 |
| National Institutes | 0.544308 |
| 50 states | 0.507866 |
| summary | 0.360219 |
| needs | 0.335627 |
| congressional justifications | 0.587018 |
| Answers | 0.336037 |
| adolescents | 0.340185 |
| contract actions | 0.558388 |
| Obama Administration | 0.525783 |
| American Recovery | 0.516319 |
| Discover | 0.340269 |
| large cities | 0.507666 |
| recovery act funds | 0.954897 |
| Reinvestment Act | 0.548367 |
| uninsured adults | 0.538604 |
| Working | 0.33845 |
| information | 0.339305 |
| Biden Announces Recovery | 0.735609 |
| acquisitions | 0.344555 |
| ARRA | 0.362846 |
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Centers for Disease Control and Prevention |
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TB/HIV Care Association |
null |
| TB/HIV integration | 0.481021 |
| CDC | 0.338286 |
| endorsement | 0.320364 |
| comprehensive HIV | 0.580722 |
| Cape Town | 0.394824 |
| HIV issues | 0.523301 |
| Tambo districts | 0.400819 |
| West Coast | 0.392337 |
| visit www.tbhivcare.org | 0.389152 |
| Eastern Cape | 0.471594 |
| TB Care program | 0.630698 |
| HIV prevention programs | 0.585122 |
| PEPFAR grant | 0.396435 |
| TB management | 0.569362 |
| Project Integrate | 0.401063 |
| structural interventions | 0.418879 |
| South Africans | 0.407282 |
| work | 0.33111 |
| KwaZulu-Natal province | 0.406568 |
| TB rates | 0.522859 |
| TB prevention | 0.518595 |
| zeros | 0.321246 |
| community-based adherence support | 0.520472 |
| Western Cape | 0.39462 |
| Alfred Nzo | 0.390701 |
|
| biomedical interventions | 0.417039 |
| treatment | 0.332479 |
| challenges | 0.335543 |
| five-year cooperative agreement | 0.481136 |
| overall decrease | 0.402254 |
| HHS | 0.321981 |
| sexually transmitted infections | 0.500416 |
| African National Strategic | 0.471919 |
| HIV diagnosis | 0.544218 |
| morbidity | 0.322419 |
| rural district | 0.392707 |
| Provincial Departments | 0.389893 |
| TB/HIV Care Association | 0.923132 |
| reproductive age group | 0.462649 |
| behavioral interventions | 0.417001 |
| HIV clients | 0.522047 |
| non-profit organization | 0.412544 |
| clinical response | 0.400563 |
| HIV counseling | 0.497892 |
| non-federal site | 0.398102 |
| untreated TB | 0.570617 |
| highest HIV | 0.502522 |
| South African provinces | 0.469745 |
| information | 0.326776 |
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Centers for Disease Control and Prevention |
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Diagnosing | Autism Case Training | Learn the Signs. Act Early. | NCBDDD |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| TCEOnline CE activities | 0.866579 |
| different times | 0.603603 |
| www.cdc.gov/TCEOnline | 0.353247 |
| certificate | 0.354961 |
| questions | 0.350164 |
| developmental screening | 0.652031 |
| Click | 0.351133 |
| case studies | 0.892427 |
| ABP | 0.615313 |
| points | 0.40016 |
| caregivers | 0.360867 |
| assessment | 0.354899 |
| number | 0.350807 |
| ASD | 0.495895 |
| accurate American Board | 0.830405 |
| children | 0.360085 |
| credits | 0.350856 |
| Dr. Jennifer Zubler | 0.837403 |
| course | 0.353162 |
|
| autism spectrum disorder | 0.933572 |
| completion | 0.529256 |
| process | 0.3501 |
| module | 0.530288 |
| American Board | 0.866885 |
| Pediatrics portfolios | 0.625665 |
| diagnosis | 0.355353 |
| Maintenance | 0.35064 |
| basis | 0.352315 |
| education hours. | 0.597152 |
| modules | 0.45813 |
| Certification | 0.350598 |
| difficult conversation | 0.658851 |
| careful observation | 0.655163 |
| standardized tools | 0.638379 |
| ongoing transcript | 0.607549 |
| Primary care physicians | 0.937433 |
| detailed information | 0.62408 |
| family | 0.358828 |
|
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Centers for Disease Control and Prevention |
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Work Schedules: Shift Work and Long Work Hours - NIOSH Workplace Safety and Health Topic |
Work schedules which include shift work and/or long hours are associated with health and safety risks. This page provides links to NIOSH publications and additional resources that address demanding work schedules including evening shift, night shift, rotating shifts, irregular schedules, and long work hours. |
| Work Long | 0.543543 |
| emergency operations | 0.52153 |
| adults | 0.423496 |
| Occupational Safety | 0.614316 |
| U.S. National Health | 0.647189 |
| safety risks | 0.559472 |
| evening shift | 0.650799 |
| Reduce Risks | 0.554836 |
| long work | 0.740639 |
| real nurses | 0.551751 |
| work schedules | 0.543718 |
| irregular schedules | 0.541212 |
| shifts | 0.43046 |
| employer | 0.425488 |
| Training Provides Nurses | 0.646101 |
| links | 0.422629 |
| Labor Statistics | 0.541391 |
| workers | 0.425951 |
| National Institute | 0.610545 |
| disaster site | 0.522333 |
|
| New Training Helps | 0.629388 |
| night shift | 0.65096 |
| shift work | 0.910868 |
| Deprivation | 0.434397 |
| comments | 0.425812 |
| Daylight Savings | 0.555241 |
| strategies | 0.437466 |
| Americans | 0.422407 |
| online training | 0.518804 |
| resources | 0.422575 |
| NIOSH Science Blog | 0.782359 |
| Suggestions | 0.423681 |
| free online course | 0.619564 |
| NIOSH publications | 0.624429 |
| emergency responders | 0.628097 |
| time change | 0.547441 |
| page | 0.422647 |
| Interview data | 0.534225 |
| managers | 0.43853 |
|
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QuickStats: Age-Adjusted Death Rates,* by State - United States, 2011 |
* Rates per 100,000 population were calculated based on postcensal populations as of July 1, 2011. |
| endorsement | 0.346381 |
| Alternate Text | 0.401764 |
| Human Services | 0.470989 |
| age-adjusted death rates | 0.498038 |
| MMWR HTML versions | 0.469634 |
| U.S. Department | 0.463657 |
| overall age-adjusted death | 0.684163 |
| identification | 0.316593 |
| electronic PDF version | 0.46545 |
| lowest death rate | 0.721718 |
| Contact GPO | 0.411919 |
| commercial sources | 0.398968 |
| California | 0.335517 |
| population | 0.337189 |
| current prices | 0.392353 |
| Mississippi | 0.337108 |
| Columbia | 0.335072 |
| original paper copy | 0.461265 |
| Connecticut | 0.335405 |
| Internet | 0.316389 |
| programs | 0.316287 |
| overall U.S. rate | 0.707882 |
| District | 0.335092 |
| age-adjusted death rate | 0.722772 |
|
| United States | 0.599588 |
| U.S. Government Printing | 0.468546 |
| original MMWR paper | 0.465734 |
| 100,000 | 0.33737 |
| Oklahoma | 0.336855 |
| death rate | 0.921882 |
| Superintendent | 0.318337 |
| Alabama | 0.336918 |
| MMWR readers | 0.39811 |
| character translation | 0.393195 |
| West Virginia | 0.511694 |
| bar chart | 0.405244 |
| format errors | 0.3936 |
| Health | 0.329888 |
| typeset documents | 0.397099 |
| Hawaii | 0.335639 |
| trade names | 0.399056 |
| Minnesota | 0.335466 |
| official text | 0.390051 |
| highest death rate | 0.727524 |
| non-CDC sites | 0.395872 |
| References | 0.316419 |
| organizations | 0.316302 |
| electronic conversions | 0.390901 |
|
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Preventing Chronic Disease | Relationship Between SocialSupport and Body Mass Index Among Overweight and Obese AfricanAmerican Women in the Rural Deep South, 2011-2013 - CDC |
African American women in the Deep South of the United States are disproportionately obese, a condition strongly influenced by their social environment. The objective of this study was to characterize the prevalence of social support from family and friends for healthy eating and exercise in rural communities. |
| high school | 0.283968 |
| obesity prevention behaviors | 0.325835 |
| high BMI levels | 0.282696 |
| significant differences | 0.321339 |
| support composite score | 0.279735 |
| Alabama Black Belt | 0.329739 |
| social support promotes | 0.316204 |
| greater support | 0.285342 |
| Eating Habits Survey | 0.341503 |
| social support scores | 0.322614 |
| social support variables | 0.325454 |
| social environment | 0.289385 |
| obesity | 0.359044 |
| social support | 0.997236 |
| family members | 0.294861 |
| body mass index | 0.346336 |
| weight loss | 0.674152 |
| social support environment | 0.334073 |
| healthy eating | 0.93314 |
| friends | 0.44547 |
| family social support | 0.317477 |
| American rural residents | 0.343087 |
| complete case analysis | 0.283307 |
| minimal social support | 0.31526 |
|
| Exercise Survey | 0.294763 |
| social support networks | 0.292692 |
| study | 0.345025 |
| United States | 0.301352 |
| exercise | 0.436299 |
| weight loss intervention | 0.324138 |
| friend social support | 0.32437 |
| eating habits | 0.351565 |
| healthy eating habits | 0.3107 |
| rural Deep South | 0.349451 |
| African American women | 0.78363 |
| BMI | 0.407832 |
| participants | 0.313068 |
| frequently reported support | 0.299496 |
| rural communities | 0.560735 |
| Deep South Network | 0.320802 |
| older rural women | 0.321967 |
| Deep South | 0.531063 |
| support composite scores | 0.316539 |
| South rural communities | 0.306651 |
| physical activity | 0.341142 |
| obesity status | 0.322581 |
| social support factors | 0.335619 |
| family | 0.462241 |
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| 12379 |
Centers for Disease Control and Prevention |
Image |
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Motor Vehicle Crash Injuries (1175W x 347H) |
null |
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Centers for Disease Control and Prevention |
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Physical Activity for Everyone: Measuring Intensity: Perceived Exertion | DNPAO | CDC |
The Borg Rating of Perceived Exertion (RPE) is a way of measuring physical activity intensity level. Learn more... |
| preferred method | 0.217141 |
| actual physical load | 0.304812 |
| physical sensations | 0.239082 |
| physical stress | 0.212229 |
| extremely strenuous exercise | 0.324053 |
| physical condition | 0.218159 |
| person experiences | 0.253531 |
| total feeling | 0.222449 |
| exertion rating | 0.608953 |
| actual heart rate | 0.800894 |
| Borg Rating | 0.396405 |
| rating scale | 0.207522 |
| exertion ratings | 0.453765 |
| muscle fatigue | 0.355592 |
| Perceived Exertion | 0.597168 |
| exertion rating times | 0.530243 |
| maximal exertion | 0.418881 |
| heart rate | 0.903571 |
|
| physical activity intensity | 0.388766 |
| moderate-intensity range | 0.211372 |
| leg pain | 0.211583 |
| breathing rate | 0.266236 |
| Borg Scale level | 0.391134 |
| subjective measure | 0.2342 |
| exertion | 0.866029 |
| Gunnar Borg | 0.28642 |
| moderate-intensity activity | 0.219452 |
| good idea | 0.204357 |
| physical activity | 0.632543 |
| fairly good estimate | 0.553499 |
| intensity | 0.395454 |
| *A high correlation | 0.319618 |
| Borg Scale | 0.689157 |
| person | 0.385252 |
| intensity level | 0.353269 |
| healthy person | 0.321784 |
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Fatal Bacterial Meningitis Possibly Associated withSubstandard Ceftriaxone - Uganda, 2013 |
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. |
| Jason W. Nickerson | 0.790972 |
| ceftriaxone sodium BP | 0.660856 |
| sub-Saharan African countries | 0.638416 |
| otogenic bacterial meningitis | 0.703506 |
| elevated intracranial pressure | 0.640848 |
| Substandard medicines | 0.713991 |
| National Referral Hospital | 0.798281 |
| Mulago National Referral | 0.799952 |
| falsified meningitis vaccines | 0.703014 |
| intensive care unit | 0.638864 |
| John L. Holmes | 0.634521 |
| single antibiotic therapy | 0.677118 |
| posterior cranial fossa | 0.644151 |
| incorrect antimicrobial therapy | 0.638586 |
| atypical disease progression | 0.636895 |
| World Health Organization | 0.635582 |
| poor quality medicines | 0.662448 |
| British Columbia | 0.723924 |
| falsified medicines | 0.725856 |
| ceftriaxone product | 0.669793 |
| multiple small abscesses | 0.659063 |
| ceftriaxone | 0.701413 |
| injectable ceftriaxone sodium | 0.669354 |
| middle ear infection | 0.651348 |
| global public health | 0.63878 |
|
| drug resistance | 0.66777 |
| antibiotic therapy | 0.767223 |
| Current treatment guidelines | 0.708734 |
| active ingredient | 0.646844 |
| lumbar puncture testing | 0.656109 |
| initial treatment failure | 0.691506 |
| Brian D. Westerberg | 0.664382 |
| acute respiratory failure | 0.650112 |
| treatment failure | 0.867641 |
| antibiotic resistance | 0.6739 |
| similar quality concerns | 0.638187 |
| patient | 0.782456 |
| Africa.* Substandard medicines | 0.703579 |
| bacterial meningitis | 0.94029 |
| global problem | 0.651302 |
| public health | 0.650532 |
| right ear canal | 0.639524 |
| Mass Spectrometry Facility | 0.636037 |
| lumbar puncture | 0.660425 |
| intravenous ceftriaxone | 0.687626 |
| antimalarial drug quality | 0.657064 |
| low-income countries | 0.809632 |
| British Columbia Children | 0.639627 |
| ceftriaxone disodium salt | 0.662581 |
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Centers for Disease Control and Prevention |
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2011-2012 Flu Season Draws to a Close |
2011-2012 Flu Season Draws to a Close - CDC |
| influenza | 0.938766 |
| flu outbreaks | 0.507958 |
| CDC’s Bresee | 0.505793 |
| vaccine receipt | 0.518308 |
| United States | 0.701989 |
| influenza vaccination coverage | 0.590596 |
| interactive web application | 0.491456 |
| U.S. Influenza Activity | 0.623884 |
| ILI | 0.622139 |
| key flu indicators | 0.547894 |
| high percentages | 0.494153 |
| flu vaccine | 0.709175 |
| influenza outbreaks | 0.55309 |
| different flu viruses | 0.56825 |
| ILI Weekly National | 0.557225 |
| percent positive tests | 0.501988 |
| Dr. Bresee | 0.495034 |
| CDC’s Influenza | 0.580051 |
| H1N1 pandemic season | 0.528707 |
| percent positive specimens | 0.504046 |
| influenza surveillance report | 0.620295 |
| high flu activity | 0.554354 |
| flu-related pediatric deaths | 0.512396 |
|
| season | 0.836891 |
| influenza illness | 0.570992 |
| respiratory specimens | 0.54586 |
| laboratory-confirmed influenza | 0.540814 |
| influenza vaccine | 0.688961 |
| influenza season | 0.564773 |
| influenza activity | 0.640799 |
| vaccine match | 0.525485 |
| seasonal flu vaccine | 0.609307 |
| host factors | 0.491172 |
| flu viruses | 0.571361 |
| Bresee | 0.556632 |
| vaccine effects | 0.525123 |
| influenza vaccination | 0.637539 |
| Dr. Joseph Bresee | 0.540476 |
| vaccine | 0.725241 |
| influenza vaccine effectiveness | 0.644269 |
| influenza viruses | 0.658074 |
| annual influenza vaccination | 0.579575 |
| pediatric deaths | 0.637387 |
| influenza virus | 0.546234 |
| flu season | 0.60578 |
| 2011-2012 season | 0.684327 |
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