| 1041 |
Centers for Disease Control and Prevention |
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Progress Toward Measles Preelimination - African Region,2011-2012 |
Balcha G. Masresha, MD1, Reinhard Kaiser, MD2, Messeret Eshetu, MD2, Reggis Katsande, MBA1, Richard Luce, MD3, Amadou Fall, MD4, Annick R.G. |
| supplementary immunization activities | 0.294756 |
| Annual measles cases | 0.378337 |
| national measles epidemiology | 0.358994 |
| MCV coverage | 0.258206 |
| JRF-reported measles cases | 0.368399 |
| Global Measles | 0.356011 |
| AFR member states | 0.279888 |
| regional measles mortality | 0.394756 |
| Integrated Disease Surveillance | 0.257191 |
| well-monitored SIAs | 0.252158 |
| measles case definition | 0.352881 |
| measles elimination | 0.474862 |
| periodic follow-up sias | 0.308612 |
| surveillance performance indicators | 0.28174 |
| United Nations Children | 0.250664 |
| measles cases | 0.569013 |
| measles incidence | 0.411713 |
| measles SIAs | 0.407458 |
| population immunity | 0.267013 |
| children | 0.263796 |
| MCV1 coverage | 0.346523 |
| measles vaccine | 0.379959 |
| post-SIA coverage survey | 0.25573 |
| routine immunization services | 0.340102 |
|
| measles vaccine coverage | 0.370432 |
| Measles Virus | 0.350516 |
| measles elimination target | 0.362354 |
| MCV administrative coverage | 0.257602 |
| Surveillance performance objectives | 0.265714 |
| annual measles incidence | 0.400089 |
| routine immunization schedule | 0.255732 |
| measles supplementary immunization | 0.365112 |
| measles susceptibility | 0.340952 |
| administrative coverage | 0.262431 |
| measles vaccination | 0.34774 |
| measles elimination activities | 0.386803 |
| member states | 0.902562 |
| case-based surveillance data | 0.30899 |
| surveillance performance | 0.292356 |
| incidence target | 0.272026 |
| case-based surveillance performance | 0.270482 |
| laboratory-confirmed measles case | 0.354402 |
| surveillance performance targets | 0.269688 |
| district-level surveillance performance | 0.257212 |
| measles preelimination goal | 0.45932 |
| routine vaccination schedule | 0.251848 |
| measles | 0.72229 |
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| 5557 |
Centers for Disease Control and Prevention |
Html |
en |
Graphite (natural) - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 8105 |
Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | The Chronic Care Model andDiabetes Management in US Primary Care Settings: A SystematicReview - CDC |
The Chronic Care Model (CCM) uses a systematic approach to restructuring medical care to create partnerships between health systems and communities. The objective of this study was to describe how researchers have applied CCM in US primary care settings to provide care for people who have diabetes and to describe outcomes of CCM implementation. |
| CCM implementation | 0.398428 |
| electronic medical records | 0.481979 |
| Certified Diabetes Educators | 0.372741 |
| health care team | 0.3713 |
| diabetes self-care practices | 0.418753 |
| health care delivery | 0.389513 |
| outcomes | 0.427504 |
| diabetes care delivery | 0.496295 |
| CCM components | 0.389218 |
| diabetes self-management | 0.480735 |
| primary care practices | 0.461699 |
| health care providers | 0.373608 |
| diabetes self-management support | 0.399519 |
| improved diabetes knowledge | 0.387259 |
| nurse case manager | 0.416904 |
| blood pressure | 0.580266 |
| patients | 0.442745 |
| diabetes care process | 0.435256 |
| diabetes self-management training | 0.45484 |
| care delivery process | 0.382079 |
| health care teams | 0.367153 |
| primary care settings | 0.95848 |
| evidence-based health care | 0.384939 |
| academic-affiliated primary care | 0.418175 |
|
| clinical information systems | 0.466754 |
| PCP offices | 0.390878 |
| interactive diabetes self-management | 0.394775 |
| chronic care model | 0.556184 |
| patient diabetes care | 0.449166 |
| diabetes self-management education | 0.465305 |
| diabetes care | 0.8169 |
| clinical outcomes | 0.410441 |
| poor diabetes knowledge | 0.371253 |
| community resources | 0.403027 |
| studies | 0.400702 |
| health care | 0.660157 |
| primary care patients | 0.381963 |
| health care systems | 0.539752 |
| primary health care | 0.376919 |
| CCM | 0.583051 |
| diabetes management services | 0.369334 |
| innovative diabetes care | 0.447809 |
| delivery system design | 0.437216 |
| community health centers | 0.404317 |
| diabetes management | 0.449432 |
| link health care | 0.375268 |
| health care leaders | 0.371734 |
| Primary care physicians | 0.377514 |
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| 9021 |
Centers for Disease Control and Prevention |
Video |
en |
SGR History |
On January 11, 1964, Luther L. Terry, MD, Surgeon General of the U.S. Public Health Service, released the first report of the Surgeon General's Advisory Committee on Smoking and Health.
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/tobacco/data_statistics/sgr/history/index.htm |
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| 9621 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Table C7 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory |
BRFSS 2008 - Table C7 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory |
| Microsoft PowerPoint file | 0.363628 |
| CDC | 0.383552 |
| Microsoft Word file | 0.36502 |
| Technical Information | 0.380192 |
| Search Form Controls | 0.589887 |
| Self-Reported Current Asthma | 0.394984 |
| Adult Asthma Data | 0.389653 |
| Child Table | 0.906946 |
| Prevalence Data | 0.376964 |
| file | 0.531965 |
| Clifton Road Atlanta | 0.379975 |
| 668 5.3 1.00 | 0.368517 |
| GA | 0.379849 |
| small sample size | 0.367857 |
| Prevalence Tables | 0.397007 |
| sample size | 0.387599 |
| Microsoft Excel file | 0.363357 |
| Map C1 | 0.360298 |
| Tweet Share Compartir | 0.411535 |
| U.S. Total** | 0.727018 |
| Table L2 | 0.499143 |
| Table | 0.976536 |
| *CI denotes confidence | 0.370338 |
| Asthma Call-back Survey | 0.35862 |
|
| page options Skip | 0.408889 |
| Search Controls | 0.407748 |
| )|| | 0.411351 |
| Child Table L2 | 0.46845 |
| different file formats | 0.367756 |
| Adult Technical Information | 0.356113 |
| Map R1 | 0.366633 |
| Child Table L1 | 0.353929 |
| file formats | 0.372381 |
| Asthma | 0.607295 |
| Table C7 Current | 0.41239 |
| 10.6 | 0.473971 |
| Apple Quicktime file | 0.37099 |
| Current Asthma Prevalence | 0.602722 |
| Child Table C2 | 0.467352 |
| NHIS Prevalence Data | 0.355147 |
| Asthma Prevalence Rate | 0.59905 |
| NCHS Asthma FastStats | 0.360883 |
| Graphs Table L1 | 0.355084 |
| confidence interval | 0.384506 |
| Table C2 | 0.497762 |
| Table C7 | 0.538227 |
| National Asthma Control | 0.356115 |
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| 9706 |
Centers for Disease Control and Prevention |
Html |
es |
Artículos de la campaña para el público general - Recursos de la campaña - Consejos de exfumadores |
Este artículo previamente escrito para la prensa sobre la campaña Consejos de exfumadores puede ser adaptado y utilizado por periodistas, blogueros y otros miembros de los medios de comunicación. |
| Archivo Apple Quicktime | 0.573633 |
| temprana edad | 0.617884 |
| graves problemas | 0.54304 |
| CDC Consejos | 0.573419 |
| Archivo Adobe PDF | 0.572506 |
| Archivo Microsoft | 0.699406 |
| radiografÃa mostró | 0.552008 |
| Archivo Microsoft Word | 0.579008 |
| Archivo Texto | 0.543539 |
| crudos inviernos | 0.555167 |
| doctor tim mcafee | 0.573456 |
| largo plazo | 0.547961 |
| obstructiva crónica | 0.545439 |
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| Archivo Microsoft Excel | 0.573274 |
| tabaco —Consejos | 0.559432 |
| pequeña localidad | 0.546848 |
| Archivo RealPlayer | 0.546549 |
| campaña consejos | 0.97606 |
| alto precio | 0.541958 |
| estrecho contacto | 0.544626 |
| Archivo Microsoft PowerPoint | 0.5798 |
| Estados Unidos | 0.74922 |
| Nuevo México | 0.547141 |
| permanentemente. Estos resultados | 0.55071 |
| mano derecha | 0.54562 |
| Archivo Zip Comprimido | 0.573268 |
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| 10636 |
Centers for Disease Control and Prevention |
Html |
en |
Terrorism Emergencies' 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. |
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| 11145 |
Centers for Disease Control and Prevention |
Html |
en |
B Virus | Cause and Incidence' Herpes B | CDC |
B virus infection is caused by the zoonotic agent Macacine herpesvirus 1, an alphaherpesvirus commonly found among macaque monkeys—the natural host. B virus infection in macaques results in a disease similar to herpes simplex virus infection in humans. |
| zoonotic agent Macacine | 0.603292 |
| mucosal splash exposure | 0.574062 |
| Mortality Weekly Report | 0.540686 |
| scratches | 0.337108 |
| Interim Recommendations | 0.434141 |
| Human Services | 0.426699 |
| serve | 0.324885 |
| Worker Protection | 0.431596 |
| identification | 0.322717 |
| Federal Regulations—42CFR73.3 | 0.428868 |
| alphaherpesvirus | 0.325706 |
| mild disease | 0.446267 |
| potential | 0.321469 |
| U.S. Public Health | 0.534232 |
| Mucocutaneous Exposure | 0.464188 |
|
| macaques—a genus | 0.457174 |
| Fatal Cercopithecine herpesvirus | 0.655294 |
| researcher | 0.324053 |
| cases | 0.322841 |
| infectious materials | 0.436216 |
| simplex virus infection | 0.910479 |
| animal bites | 0.438834 |
| select agent | 0.42851 |
| Morbidity | 0.333696 |
| human infections | 0.449947 |
| natural host | 0.455716 |
| macaques results | 0.507288 |
| threat | 0.324327 |
| Old World | 0.456241 |
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| 15377 |
Centers for Disease Control and Prevention |
Html |
en |
Influence of Home and School Environments on Specific Dietary Behaviors Among Postpartum, High-Risk Teens, 27 States, 2007-2009 |
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. |
| beverage items | 0.448932 |
| negative home environment | 0.406753 |
| regular soda consumption | 0.379909 |
| study | 0.414214 |
| positive school environment | 0.700141 |
| generalized estimating equations | 0.395504 |
| SNAP participation | 0.411812 |
| frequent fruit consumption | 0.395399 |
| negative school environment | 0.406122 |
| weight-loss intervention study | 0.403054 |
| postpartum teens | 0.676553 |
| positive environment | 0.377458 |
| dietary intake | 0.394778 |
| school | 0.739365 |
| positive home environment | 0.965481 |
| healthful items | 0.420053 |
| postpartum status | 0.380802 |
| food environments | 0.679607 |
| school food environment | 0.510838 |
| beverage intakes | 0.381631 |
| positive school food | 0.429728 |
| home food environments | 0.663518 |
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| school food policies | 0.411252 |
| school environments | 0.52046 |
| fruit juice | 0.468721 |
| negative school | 0.464371 |
| GEE | 0.44411 |
| CI | 0.416842 |
| home food environment | 0.534279 |
| fruit consumption | 0.42762 |
| consumption | 0.550934 |
| infrequent consumption | 0.481597 |
| fruit juice consumption | 0.406577 |
| nutrition assistance programs | 0.471131 |
| home environments | 0.489533 |
| healthful dietary behaviors | 0.386625 |
| water consumption | 0.384099 |
| healthful school food | 0.403992 |
| frequent consumption | 0.431298 |
| GEE odds ratio | 0.387421 |
| dietary behaviors | 0.579186 |
| regular soda | 0.386608 |
| school food environments | 0.489141 |
| National School Lunch | 0.379729 |
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| 16212 |
Centers for Disease Control and Prevention |
Html |
en |
Potentially Preventable Deaths Among the Five Leading Causesof Death - United States, 2010 and 2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| North Carolina | 0.438888 |
| cancer deaths | 0.387528 |
| cause-specific average death | 0.354907 |
| age-adjusted death rates | 0.529861 |
| health officials | 0.354403 |
| average age-specific death | 0.389358 |
| https://stacks.cdc.gov/view/cdc/42472); cancer deaths | 0.379995 |
| number | 0.451282 |
| unintentional injuries | 0.590851 |
| possible death rates | 0.354973 |
| final death data | 0.358389 |
| observed deaths | 0.405953 |
| mortality data | 0.375334 |
| age-specific death rates | 0.359086 |
| benchmark death rates | 0.450938 |
| disease-specific death rates | 0.36127 |
| diseases | 0.407189 |
| potentially preventable deaths | 0.981333 |
| National Vital Statistics | 0.397486 |
| cancer-related death rates | 0.360163 |
| age groups | 0.431304 |
| older age groups | 0.383695 |
| population | 0.362711 |
| persons | 0.358874 |
|
| death rates | 0.800767 |
| District | 0.362196 |
| CLRD | 0.385 |
| United States | 0.653733 |
| cause | 0.384977 |
| significant changes | 0.354553 |
| South Carolina | 0.438281 |
| unintentional injury deaths | 0.374158 |
| West Virginia | 0.446848 |
| heart disease | 0.501588 |
| causes | 0.486274 |
| North Dakota | 0.438799 |
| supplemental material | 0.43604 |
| lowest death rates | 0.354342 |
| heart disease deaths | 0.37742 |
| New York | 0.513475 |
| Rhode Island | 0.454705 |
| cause-specific expected death | 0.356316 |
| South Dakota | 0.438193 |
| stroke | 0.356282 |
| New Jersey | 0.513663 |
| Total expected deaths | 0.376788 |
| New Mexico | 0.442431 |
| New Hampshire | 0.442614 |
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