| 6794 |
Centers for Disease Control and Prevention |
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en |
MMWR - Recommendations and Reports / Surveillance Summaries -Instructions for Contributors |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
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| Excel | 0.558441 |
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| tabular form | 0.681676 |
| Public Health Actions | 0.829614 |
| .jpeg | 0.581191 |
| journals list | 0.67048 |
| .eps file | 0.717394 |
| Surveillance Summaries | 0.676215 |
| Reference numbers | 0.798144 |
| Headings | 0.536825 |
| Biomedical Journals | 0.657753 |
| .tif | 0.546578 |
| Manuscripts Submitted | 0.698515 |
| Abbreviate names | 0.665208 |
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| Reporting Period | 0.682989 |
| MMWRÂ publications | 0.683311 |
| authors | 0.553872 |
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| line graphs | 0.677696 |
| vector format files | 0.82088 |
| point | 0.557624 |
| Art work | 0.670468 |
| dpi | 0.590375 |
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| Photographs | 0.579176 |
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| 6862 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Severe Hand, Foot, and Mouth Disease Associated with Coxsackievirus A6 - Alabama, Connecticut, California, and Nevada, November 2011-February 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. |
| mmwrq@cdc.gov. | 0.69314 |
| CDC | 0.737575 |
| Maria L. Salas | 0.731847 |
| extensive rash | 0.739789 |
| Human Services | 0.725798 |
| common viral illness | 0.761775 |
| MMWR HTML versions | 0.733795 |
| U.S. Department | 0.725385 |
| international outbreaks | 0.759569 |
| mouth disease | 0.69501 |
| electronic PDF version | 0.734239 |
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| Zoonotic Infectious Diseases | 0.730834 |
| National Center | 0.723419 |
| CVA6 strains | 0.734328 |
| patients | 0.741468 |
| serotype coxsackievirus | 0.697759 |
| mild febrile illness | 0.749574 |
| typical HFMD | 0.721529 |
| Marie Louise Landry | 0.724876 |
| HFMD | 0.837631 |
| Mary G. McIntyre | 0.733123 |
| original paper copy | 0.728053 |
| Washoe County Health | 0.74921 |
|
| Julie A. Kulhanjian | 0.730351 |
| transcriptase–polymerase chain reaction | 0.744949 |
| Tara L. Greenhow | 0.733443 |
| California Department | 0.689728 |
| Pediatrics Medical Group | 0.7318 |
| Public Health | 0.758508 |
| CVA6-associated HFMD | 0.716431 |
| United States | 0.974984 |
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| New Haven Hospital | 0.734589 |
| child care facility | 0.762118 |
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| child care | 0.807487 |
| Lauren J. Stockman | 0.837532 |
| U.S. cases | 0.735184 |
| CVA6 HFMD | 0.730929 |
| child care settings | 0.746811 |
| San Francisco | 0.727051 |
| atypical rash | 0.749676 |
| Coxsackievirus A6 | 0.696841 |
| rash variables | 0.740366 |
| initial symptom onset | 0.746639 |
| Dianna M. Blau | 0.733949 |
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| 7207 |
Centers for Disease Control and Prevention |
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en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0243 |
One-third of the US population is obese, and childhood obesity has tripled since the late 1970s. Childhood obesity is a significant health issue requiring interventions on individual, interpersonal, community, organizational, and policy levels. |
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| community | 0.714787 |
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| Washington State | 0.382469 |
| Washington State University | 0.273704 |
| Yakima County community | 0.420341 |
| community agencies | 0.29567 |
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|
| community leaders | 0.274974 |
| Yakima County | 0.924567 |
| lower Yakima Valley | 0.397389 |
| Yakima averages | 0.285705 |
| Yakima Health District | 0.465462 |
| health care workers | 0.300621 |
| Yakima Valley Farm | 0.461287 |
| public health | 0.451652 |
| health care | 0.343045 |
| community inventory | 0.340791 |
| Yakima Valley | 0.493085 |
| adult obesity | 0.341076 |
| Yakima Greenway Foundation | 0.307251 |
| obesity problem | 0.293667 |
| community partners | 0.391122 |
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| significant health issue | 0.317097 |
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| Healthy Youth Survey | 0.30652 |
| Community coalitions | 0.273384 |
| physical activity | 0.404304 |
| Yakima Pediatrics Associates | 0.314044 |
| Yakima Valley Memorial | 0.32127 |
| obesity prevention effort | 0.306143 |
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| 7573 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Poliomyelitis Eradication - Afghanistan and Pakistan, January 2011-August 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. |
| sewage samples | 0.60021 |
| areas | 0.631626 |
| Polio Eradication Dept | 0.585949 |
| national non-polio AFP | 0.583578 |
| AFP cases | 0.658823 |
| Administered Tribal Areas | 0.599676 |
| OPV doses | 0.592801 |
| positive sewage sample | 0.619303 |
| polio eradication activities | 0.636394 |
| latest positive sewage | 0.618269 |
| children | 0.671737 |
| vaccination teams | 0.611939 |
| Global Polio Eradication | 0.636587 |
| Global Immunization Div | 0.589955 |
| national emergency action | 0.738984 |
| WPV1 cases | 0.650573 |
| Pakistan Polio Eradication | 0.623916 |
| emergency action plans | 0.646951 |
| Polio Eradication Initiative | 0.634524 |
| South Region | 0.638368 |
| high-risk districts | 0.660236 |
| polio cases | 0.60824 |
| recent confirmed cases | 0.582394 |
| indigenous wild poliovirus | 0.597403 |
| WPV transmission areas | 0.6014 |
|
| Federally Administered Tribal | 0.593349 |
| conflict-affected areas | 0.589461 |
| WPV cases | 0.982919 |
| AFP surveillance | 0.655855 |
| emergency action plan | 0.662958 |
| target age group | 0.587522 |
| Afghanistan | 0.770225 |
| polio eradication | 0.816692 |
| FATA | 0.595533 |
| wild poliovirus | 0.602386 |
| WPV3 cases | 0.592201 |
| Pakistan | 0.819957 |
| non-polio AFP | 0.689999 |
| latest confirmed case | 0.622298 |
| endemic polio transmission | 0.58449 |
| non-polio AFP cases | 0.644943 |
| Afghanistan National Polio | 0.628814 |
| Khyber Agency | 0.623191 |
| targeted children | 0.596129 |
| WPV type | 0.592988 |
| World Health Assembly | 0.600334 |
| oral polio vaccine | 0.635438 |
| Global Polio Laboratory | 0.582097 |
| WPV transmission | 0.665007 |
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| 8105 |
Centers for Disease Control and Prevention |
Html |
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 |
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| 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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| 8480 |
Centers for Disease Control and Prevention |
Html |
en |
James' Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of James, a former smoker who successfully quit smoking and is featured in CDC's Tips from Former Smokers campaign. |
| CDC | 0.351865 |
| James | 0.8044 |
| decision | 0.340435 |
| relapse | 0.373027 |
| cardio exercise | 0.910748 |
| father | 0.363311 |
| healthier lifestyle | 0.973894 |
| sort | 0.362738 |
| video | 0.322371 |
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| moment | 0.356017 |
|
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| miles | 0.33284 |
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| important changes | 0.877061 |
| roommate | 0.387716 |
| smoking | 0.39354 |
| avid cyclist | 0.9584 |
| campaign | 0.321841 |
| cigarettes | 0.353822 |
| choice | 0.337326 |
| age | 0.349648 |
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| 8503 |
Centers for Disease Control and Prevention |
Html |
en |
MDRO Guideline:Glossary - HICPAC |
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CLICK HERE |
| 9621 |
Centers for Disease Control and Prevention |
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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 |
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| )|| | 0.411351 |
| Child Table L2 | 0.46845 |
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| 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 |
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| National Asthma Control | 0.356115 |
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CLICK HERE |
| 10612 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Supports APHA National Public Health Week | Digital Press Kit | CDC Online Newsroom |
CDC Supports APHA National Public Health Week |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 11277 |
Centers for Disease Control and Prevention |
Html |
en |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Numbers of Employed Youth FTEs (Ages 16-24) by year, United States, 2000-2011 |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Numbers of employed Youth FTEs (Ages 16-24) by year, United States, 2000-2011 |
| United States | 0.65705 |
| youth ages | 0.276126 |
| Employed Youth FTEs | 0.899446 |
| public microdata files | 0.496466 |
| time period | 0.290462 |
| Young Worker Employment | 0.919955 |
|
| Current Population Survey | 0.451564 |
| Illnesses | 0.224547 |
| Young Worker Safety | 0.612496 |
| full-time equivalents | 0.333702 |
| NIOSH analyses | 0.333149 |
| Labor Statistics | 0.288526 |
|
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