| 7535 |
Centers for Disease Control and Prevention |
Html |
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Arthritis - Interventions - Self-Management |
These physical activity programs are all approved evidence-based programs that are proven to improve the quality of life of people with arthritis. |
| trained leaders | 0.210187 |
| Arthritis Foundation Self-Help | 0.441628 |
| Spanish-speaking people | 0.2177 |
| Choices Better Health | 0.221743 |
| State health departments | 0.213611 |
| individualized self-management program | 0.461468 |
| 6-week interactive workshop | 0.242679 |
| Arthritis intervention | 0.280271 |
| Leadership Council website | 0.374406 |
| CDSMP program | 0.242363 |
| CDC-Arthritis Program funding | 0.233976 |
| Arthritis Toolkit | 0.370076 |
| health departments | 0.23033 |
| chronic disease management | 0.226075 |
| weekly 2-hour sessions | 0.223068 |
| self-management education program | 0.576465 |
| health care providers | 0.224764 |
| CDC Arthritis Program | 0.518152 |
| health care | 0.277123 |
| Self-Management Resource Center | 0.523715 |
| health professionals | 0.321226 |
| appropriate exercises | 0.244846 |
| Stanford University | 0.329258 |
| culturally appropriate manner | 0.25193 |
|
| Disease Self-Management Program | 0.62965 |
| arthritis management skills | 0.371913 |
| Arthritis Self-Help book | 0.358938 |
| chronic diseases | 0.353854 |
| new treatments | 0.322516 |
| Dr. Kate Lorig | 0.217752 |
| non-health professionals | 0.210161 |
| robust science base | 0.205082 |
| community setting | 0.204322 |
| self-management education | 0.57917 |
| self-management education intervention | 0.396585 |
| chronic health problems | 0.441493 |
| self-management education programs | 0.41162 |
| Arthritis website | 0.287394 |
| appropriate exercise | 0.269514 |
| Program funding | 0.249312 |
| su Salud | 0.228704 |
| Arthritis Self-Management Program | 0.901821 |
| Evidence-Based Leadership Council | 0.378084 |
| internationally recognized Chronic | 0.211186 |
| Chronic Disease Self-Management | 0.637599 |
| effective self-management education | 0.575801 |
| Better Choices Better | 0.307044 |
|
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| 8296 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Promoting Fruit and VegetableConsumption Among Members of Black Churches, Michigan and NorthCarolina, 2008-2010 - CDC |
Evidence-based health promotion programs that are disseminated in community settings can improve population health. However, little is known about how effective such programs are when they are implemented in communities. We examined community implementation of an evidence-based program, Body and Soul, to promote consumption of fruits and vegetables. |
| North Carolina | 0.766292 |
| vegetable consumption | 0.920552 |
| Prev Chronic Dis | 0.499776 |
| program | 0.710629 |
| 2-item measure | 0.520496 |
| body | 0.573592 |
| Soul program | 0.535753 |
| church environmental changes | 0.502299 |
| research staff | 0.497127 |
| colorectal cancer screening | 0.514143 |
| church-based health promotion | 0.547153 |
| churches | 0.819447 |
| eligible church members | 0.510589 |
| health promotion interventions | 0.530555 |
| Soul nutrition program | 0.523493 |
| intervention | 0.553856 |
| intervention churches | 0.520667 |
| Community Networks Program | 0.503211 |
| Black Churches United | 0.512256 |
| black church members | 0.52882 |
| study | 0.511692 |
| Evidence-based health promotion | 0.513409 |
| program components | 0.585229 |
| program implementation | 0.501202 |
| soul | 0.576138 |
|
| fruit | 0.546922 |
| health promotion | 0.714722 |
| Soul churches | 0.538405 |
| church members | 0.581431 |
| peer counselors | 0.523624 |
| African American churches | 0.504029 |
| technical assistance | 0.599348 |
| volunteer church members | 0.511495 |
| public health | 0.61476 |
| health promotion programs | 0.62484 |
| RE-AIM framework | 0.514427 |
| church events | 0.55287 |
| independent church implementation | 0.51446 |
| colon cancer | 0.503721 |
| implementation | 0.606592 |
| vegetable intake | 0.52316 |
| physical activity | 0.588925 |
| Campbell MK | 0.5458 |
| black churches | 0.617999 |
| evidence-based program | 0.524503 |
| educational activities | 0.512726 |
| Research-Tested Intervention Programs | 0.499286 |
| et al | 0.61109 |
| church coordinators | 0.631827 |
|
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| 8817 |
Centers for Disease Control and Prevention |
Html |
en |
Value of Pharmacy-Based Influenza Surveillance - Ontario,Canada, 2009 |
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. |
| local health authority | 0.853296 |
| symptom onset | 0.680109 |
| antiviral dispensing data | 0.536284 |
| absolute prescription counts | 0.494188 |
| Public Health Agency | 0.54506 |
| dispensed prescription medications | 0.50384 |
| influenza laboratory confirmations | 0.562868 |
| public health authority | 0.495424 |
| Public Health Ontario | 0.493638 |
| public health authorities | 0.683908 |
| positive influenza laboratory | 0.607926 |
| weekly influenza | 0.57487 |
| pandemic influenza | 0.542484 |
| real-time prescription data | 0.497789 |
| antiviral prescription | 0.691621 |
| Ontario influenza | 0.537596 |
| dispensed prescriptions | 0.505479 |
| case onset trend | 0.591475 |
| influenza laboratory reports | 0.556198 |
| public health surveillance | 0.520624 |
| illness onset date | 0.528546 |
| prescription dispensing dates | 0.499782 |
| public health | 0.79595 |
| onset dates | 0.584602 |
|
| pharmacy prescription data | 0.514164 |
| real-time pharmacy-based surveillance | 0.4957 |
| influenza pandemic | 0.515294 |
| antiviral prescriptions | 0.648425 |
| Weekly antiviral prescriptions | 0.549286 |
| date laboratory results | 0.498165 |
| health authority level | 0.857474 |
| individual-level prescription data | 0.508704 |
| onset date | 0.553689 |
| Prescription medication data | 0.506373 |
| influenza surveillance strategy | 0.565483 |
| symptom onset dates | 0.532815 |
| local influenza activity | 0.57937 |
| influenza laboratory results | 0.568419 |
| influenza surveillance | 0.681666 |
| pharmacy-based surveillance | 0.597406 |
| laboratory reports | 0.55711 |
| prescription data | 0.529687 |
| case onset date | 0.531456 |
| antiviral prescription proportions | 0.553963 |
| onset trend line | 0.591464 |
| antiviral medications | 0.506941 |
| antiviral prescription trend | 0.608992 |
|
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| 9180 |
Centers for Disease Control and Prevention |
Html |
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Colorectal Cancer Rates by Race and Ethnicity |
The rate of people getting colorectal cancer or dying from colorectal cancer by race and ethnicity. |
| Asian/Pacific Islander women | 0.59339 |
| numbers | 0.222115 |
| invasive cancer sites | 0.39441 |
| NVSS | 0.222716 |
| cancer excludes basal | 0.398486 |
| genital organs | 0.297321 |
| number | 0.262811 |
| shows | 0.241936 |
| ethnic populations | 0.394719 |
| Asian/Pacific Islander men | 0.425614 |
| registry-specific data quality | 0.378913 |
| colorectal cancer | 0.88111 |
| highest rate | 0.413226 |
| Hispanic origin | 0.403405 |
| National Vital Statistics | 0.368259 |
| Behavior recode | 0.304765 |
| National Program | 0.298554 |
| incidence rate | 0.431524 |
| age groups | 0.396249 |
| graph | 0.241976 |
| Census P25–1130 | 0.397378 |
| population coverage | 0.393657 |
| data quality | 0.386018 |
| persons | 0.284746 |
| situ cancers | 0.299054 |
|
| death rates | 0.452488 |
| black women | 0.374528 |
| U.S. standard population | 0.548568 |
| ethnicity | 0.28109 |
| 100,000 | 0.262637 |
| skin | 0.232496 |
| USCS technical notes | 0.888789 |
| data quality criteria | 0.378013 |
| cancer registries | 0.399538 |
| potential differences | 0.390802 |
| Asian/Pacific Islander | 0.698137 |
| †Race categories | 0.394267 |
| *Rates | 0.237456 |
| National Cancer Institute | 0.401745 |
| caution | 0.313503 |
| colorectal cancer incidence | 0.493428 |
| disease | 0.220833 |
| black men | 0.376275 |
| urinary bladder | 0.298023 |
| End Results program | 0.388377 |
| squamous cell carcinomas | 0.389848 |
| U.S. population | 0.386244 |
| people | 0.278596 |
| American Indian/Alaska Native | 0.912903 |
|
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| 9200 |
Centers for Disease Control and Prevention |
Html |
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Fatal West Nile Virus Infection After ProbableTransfusion-Associated Transmission - Colorado, 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. |
| red blood cells | 0.397459 |
| ID-NAT reactive donation | 0.359753 |
| blood products | 0.772486 |
| WNV IgM antibodies | 0.613895 |
| WNV neurologic disease | 0.360778 |
| hospital blood bank | 0.364621 |
| WNV RNA concentration | 0.367103 |
| Nile Virus Test | 0.407958 |
| mosquito-borne WNV transmission | 0.383653 |
| Ingrid B. Rabe | 0.358416 |
| TaqScreen West Nile | 0.459703 |
| initial screening | 0.37273 |
| U.S. blood supply | 0.367205 |
| WNV nucleic acid | 0.387879 |
| plaque reduction neutralization | 0.375498 |
| infected blood donor | 0.352589 |
| detectable WNV-specific IgM | 0.416439 |
| probable transfusion-associated transmission | 0.396087 |
| blood collection agencies | 0.507745 |
| transfusion-associated WNV infection | 0.378422 |
| red blood cells/mm3 | 0.350039 |
| Procleix WNV NAT | 0.451141 |
| natural WNV infection | 0.369625 |
| high WNV activity | 0.361518 |
| WNV antibodies | 0.361124 |
|
| constituent donations | 0.406647 |
| WNV RNA-positive plasma | 0.362518 |
| west nile virus | 0.90899 |
| transfusion-associated WNV infections | 0.364012 |
| fresh frozen plasma | 0.436821 |
| WNV NAT screening | 0.374657 |
| WNV serologic testing | 0.391167 |
| WNV | 0.76854 |
| blood transfusion | 0.383274 |
| WNV NAT | 0.456622 |
| public health investigation | 0.367407 |
| WNV RNA | 0.516921 |
| WNV disease | 0.506763 |
| WNV infection | 0.586213 |
| immunosuppressed patient | 0.349328 |
| fatal WNV encephalitis | 0.387887 |
| transfusion-associated WNV disease | 0.372648 |
| blood supply | 0.434941 |
| blood testing agency | 0.35698 |
| enzyme-linked immunosorbent assay | 0.381912 |
| nucleic acid testing | 0.385764 |
| et al | 0.355862 |
| Cobas TaqScreen West | 0.452058 |
| Nile virus infection | 0.406176 |
|
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| 10275 |
Centers for Disease Control and Prevention |
Html |
en |
Prevention Guide to Promote Personal Health and Safety (Part 3)'Extreme Heat |
Information on extreme heat. Provided by the Centers for Disease Control and Prevention (CDC). |
| extreme heat | 0.96177 |
| website | 0.290702 |
| fact | 0.293042 |
| Heat-related deaths | 0.894531 |
| United States | 0.668598 |
|
| illnesses | 0.377883 |
| resources | 0.288987 |
| information | 0.28963 |
| helpful tips | 0.712284 |
|
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| 11774 |
Centers for Disease Control and Prevention |
Html |
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Norovirus | NoroSTAT References and Resources | CDC |
References, resources and scientific articles related to NoroSTAT. |
| Barclay | 0.245452 |
| Lopman BA | 0.343687 |
| Roger I Glass | 0.24393 |
| Cole D. Surveillance | 0.284681 |
| disease prevention guidelines | 0.279141 |
| GII.4 noroviruses | 0.24683 |
| Acute gastroenteritis surveillance | 0.316034 |
| Disease Control | 0.272867 |
| Zheng DP | 0.246405 |
| emergent norovirus variant | 0.292247 |
| Emerg Infect Dis. | 0.911673 |
| MMWR Surveillance Summaries. | 0.341909 |
| epidemiologic trends | 0.245964 |
| Shirley SH | 0.247326 |
| norovirus gastroenteritis outbreaks | 0.319541 |
| J. Novel GII.12 | 0.284141 |
| J. Novel surveillance | 0.29661 |
| norovirus outbreak management | 0.293459 |
| Parashar UD | 0.41762 |
| Genotype GI.6 norovirus | 0.305225 |
| Clin Infect Dis. | 0.347694 |
| Foodborne Illness Complaint | 0.291186 |
| Gastañaduy PA | 0.243276 |
| Vinjé J. Genotypic | 0.294948 |
| Norovirus disease | 0.256503 |
|
| Lehman Etingüe | 0.25397 |
| Hall AJ | 0.541916 |
| Vega | 0.243376 |
| norovirus outbreaks | 0.270195 |
| United States | 0.775447 |
| Eisenbart VG | 0.25569 |
| Payne DC | 0.242765 |
| Cebelinski EA | 0.247383 |
| Molecular epidemiology | 0.244094 |
| Gould LH | 0.307376 |
| Patel MM | 0.243903 |
| Vinjé J. Novel | 0.359786 |
| Norovirus Surveillance | 0.271188 |
| norovirus outbreak activity | 0.299594 |
| contact— United States | 0.298453 |
| clinical significance | 0.246248 |
| Widdowson MA | 0.247655 |
| National Outbreak Reporting | 0.299064 |
| Clin Microbiol. | 0.302212 |
| foodborne disease | 0.249166 |
| et al | 0.294591 |
| Saupe AA | 0.24979 |
| GII.4 Sydney norovirus | 0.300398 |
| Vinjé J. | 0.366011 |
|
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Centers for Disease Control and Prevention |
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Hepatitis Risk Assessment | Division of Viral Hepatitis |CDC |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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CLICK HERE |
| 13577 |
Centers for Disease Control and Prevention |
Video |
null |
Cote de Pablo para la campaña Conozca Su Cuerpo (:60) versión B |
La actriz Cote de Pablo habla sobre el susto que pasó con el cáncer de cuello uterino y comparte consejos para otras mujeres.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/wcms/videos/low-res/NCCDPHP/2015/cote_video_spanish_60alt_925756.mp4 |
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CLICK HERE |
| 15357 |
Centers for Disease Control and Prevention |
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Next Steps: Eliminating Disparities in Diabetes and Obesity |
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. |
| key practices | 0.455271 |
| diabetes prevention | 0.665938 |
| root causes | 0.478876 |
| Kidney Diseases | 0.45546 |
| multiple social constructs | 0.45465 |
| Prev Chronic Dis | 0.952267 |
| longitudinal study | 0.504825 |
| National Longitudinal Study | 0.501984 |
| Diabetes Mellitus Interagency | 0.545834 |
| Washington University | 0.49031 |
| differential effects | 0.472838 |
| diabetes development | 0.53502 |
| obesity prevention | 0.45831 |
| Adapting Diabetes Prevention | 0.560571 |
| Hipp JA | 0.456591 |
| obesity | 0.482325 |
| workplace wellness efforts | 0.48776 |
| county-level diabetes prevalence | 0.603918 |
| risk factors | 0.532069 |
| indian young adults | 0.497752 |
| Washington University Institute | 0.455681 |
| structural risk factors | 0.496821 |
| health literate designs | 0.504382 |
| Affordable Care Act | 0.493622 |
| health care costs | 0.475964 |
|
| St Louis | 0.543944 |
| specific dietary behaviors | 0.494867 |
| real world settings | 0.505967 |
| low-wage workers | 0.496479 |
| diabetes translation research | 0.613238 |
| diabetes mobile applications | 0.597853 |
| health communication science | 0.511133 |
| diabetes prevention programs | 0.599072 |
| contextual risk factors | 0.491106 |
| translational diabetes research | 0.579668 |
| Public Health | 0.464365 |
| Washington University Center | 0.45926 |
| life course exposure | 0.455376 |
| Diabetes Topics Associated | 0.556258 |
| diabetes cases | 0.552199 |
| diabetes disparities | 0.609922 |
| poor living environments | 0.502046 |
| National Institute | 0.457509 |
| neighborhood risk factors | 0.454968 |
| diabetes interventions | 0.537264 |
| et al | 0.484606 |
| evidence-based interventions | 0.490502 |
| diabetes outcomes | 0.532815 |
| diabetes | 0.768512 |
|
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