| 928 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | “Everyone Should Be Able to Choose How They Get Around�: How Topeka, Kansas, Passed a Complete Streets Resolution - CDC |
Regular physical activity can help prevent chronic diseases, yet only half of US adults meet national physical activity guidelines. One barrier to physical activity is a lack of safe places to be active, such as bike paths and sidewalks. Complete Streets, streets designed to enable safe access for all users, can help provide safe places for activity. |
| city streets | 0.588686 |
| robust public health | 0.53135 |
| public health practitioners | 0.531314 |
| key informants | 0.557832 |
| Washington University | 0.534312 |
| active living | 0.530233 |
| safe places | 0.526704 |
| city council members | 0.598426 |
| Prev Med | 0.53651 |
| Safe Streets Act | 0.597829 |
| Disease Control | 0.535355 |
| Topeka Chamber | 0.53346 |
| Complete Streets movement | 0.653478 |
| Phys Act Health | 0.527782 |
| safe walking spaces | 0.527458 |
| local Complete Streets | 0.627648 |
| Topeka City Council | 0.606453 |
| Complete Streets Task | 0.615153 |
| community | 0.550426 |
| St Louis | 0.529499 |
| physical activity promotion | 0.526975 |
| highly functional community | 0.528873 |
| community members | 0.539416 |
| 2-way streets | 0.588107 |
|
| Topeka residents | 0.537438 |
| community case study | 0.538979 |
| Complete Streets resolution | 0.835515 |
| safe access | 0.526403 |
| HHN members | 0.547359 |
| Complete Streets | 0.943838 |
| Public Health Practice | 0.531391 |
| City Council member | 0.528514 |
| Complete Streets presentation | 0.613152 |
| St. Louis | 0.542553 |
| public health | 0.571802 |
| diverse HHN organization | 0.531827 |
| Topeka leaders | 0.535531 |
| Regular physical activity | 0.533339 |
| Heartland Healthy Neighborhoods | 0.541966 |
| Complete Streets program | 0.617553 |
| people | 0.533178 |
| physical activity | 0.638284 |
| national physical activity | 0.53455 |
| Complete Streets policy | 0.625778 |
| Key informant interviews | 0.52975 |
| diverse community leaders | 0.530872 |
| National Complete Streets | 0.625311 |
| Topeka participants | 0.537306 |
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| 6366 |
Centers for Disease Control and Prevention |
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2007 Isolation Precautions:Part 4 - HICPAC |
null |
| healthcare personnel | 0.823077 |
| n/a | 0.71902 |
| Patient transport n/a | 0.704025 |
| Standard Precautions | 0.668005 |
| long-term care | 0.685803 |
| place patients | 0.657175 |
| protective equipment n/a | 0.638873 |
| infection control | 0.906983 |
| Airborne Precautions | 0.667137 |
| effectiveness IB | 0.639658 |
| ) IB | 0.635538 |
| infection control activities | 0.638725 |
| patient | 0.742626 |
| Protective Environment | 0.662015 |
| infection control program | 0.643286 |
| IB | 0.929076 |
| infectious agents | 0.690218 |
| control IB | 0.66053 |
| air IB | 0.641548 |
| personal protective equipment | 0.683401 |
| full-time personnel IB | 0.686735 |
| room IB | 0.65084 |
| patients | 0.850926 |
|
| patient placement | 0.716516 |
| Patient placement n/a | 0.706897 |
| Contact Precautions | 0.74023 |
| transmission-based precautions | 0.693142 |
| infection control personnel | 0.67692 |
| patient care unit | 0.639537 |
| body fluids | 0.650866 |
| patient care | 0.724994 |
| Unresolved issue | 0.663008 |
| available IB | 0.669896 |
| institution IB | 0.648555 |
| patient care equipment | 0.661075 |
| positive pressure IB | 0.647686 |
| patient care areas | 0.645889 |
| Respiratory Hygiene/Cough Etiquette | 0.718859 |
| Involve infection control | 0.640876 |
| Appendix A. IB | 0.735316 |
| hand hygiene | 0.732063 |
| acute care hospitals | 0.79221 |
| Droplet Precautions | 0.69348 |
| noncritical patient-care equipment | 0.64562 |
| patient-care equipment | 0.676256 |
| waiting areas IB | 0.663892 |
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| 8490 |
Centers for Disease Control and Prevention |
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For Specific Groups - Tips From Former Smokers - Smoking & Tobacco Use |
Smoking-related statistics, information, and quitting resources for specific groups. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| disease | 0.281989 |
| smoking-related statistics | 0.674362 |
| exposure | 0.318382 |
| death | 0.282282 |
| United States | 0.635349 |
|
| Americans | 0.320972 |
| specific groups | 0.582253 |
| information | 0.270374 |
| secondhand smoke | 0.767866 |
| deaths | 0.33331 |
|
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| 8511 |
Centers for Disease Control and Prevention |
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Blood Lead Levels in Children Aged 1-5 Years - UnitedStates, 1999-2010 |
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. |
| childhood lead exposure | 0.348692 |
| CDC | 0.378505 |
| Medicaid enrollment status | 0.448719 |
| United States | 0.568218 |
| age group | 0.475816 |
| lead paint hazards | 0.347985 |
| Environmental Health Svcs | 0.345873 |
| BLL limit | 0.397772 |
| U.S. civilian population | 0.338478 |
| reference interval value | 0.62547 |
| high BLLs | 0.368639 |
| 97.5th percentile | 0.348889 |
| Elevated blood lead | 0.356353 |
| U.S. Census Bureau | 0.347574 |
| adverse health effects | 0.460044 |
| Advisory Committee | 0.337893 |
| Childhood Lead Poisoning | 0.455773 |
| long-standing disparities | 0.341406 |
| upper reference | 0.424626 |
| Lead Poisoning Prevention | 0.368137 |
| children | 0.837084 |
| U.S. children | 0.478539 |
| Mary Jean Brown | 0.421912 |
|
| small numbers | 0.337987 |
| BLLs т‰Ѕ5 ТЕg/dL | 0.419597 |
| Mexican American children | 0.366997 |
| geometric mean BLLs | 0.36422 |
| Nutrition Examination Survey | 0.349519 |
| ТЕg/dL | 0.538078 |
| mean BLLs | 0.507434 |
| elevated BLLs | 0.424699 |
| BLLs | 0.725495 |
| NHANES cycles | 0.343895 |
| National Health | 0.40309 |
| income groups | 0.450069 |
| high BLL | 0.407633 |
| blood lead testing | 0.352281 |
| BLLs т‰Ѕ10 ТЕg/dL | 0.409605 |
| public health problem | 0.36201 |
| behavioral deficits | 0.339509 |
| non-Hispanic black children | 0.646426 |
| NHANES | 0.478843 |
| non-Hispanic white children | 0.439018 |
| NHANES participants | 0.345103 |
| GM BLL | 0.927217 |
| lead exposure | 0.495933 |
|
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| 9540 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Training the Workforce in Evidence-Based Public Health: An Evaluation of Impact Among US and International Practitioners - CDC |
The Prevention Research Center in St. Louis developed a course on evidence-based public health in 1997 to train the public health workforce in implementation of evidence-based public health. The objective of this study was to assess use and benefits of the course and identify barriers to using evidence-based public health skills as well as ways to improve the course. |
| course content | 0.475719 |
| survey respondents | 0.408701 |
| public health practitioners | 0.581231 |
| Vorarlberg Public Health | 0.389519 |
| EBPH course | 0.542273 |
| 5-point Likert scale | 0.44342 |
| EBPH course content | 0.425254 |
| state health departments | 0.446867 |
| EBPH training | 0.514851 |
| international course participants | 0.443704 |
| World Health Organization | 0.405691 |
| course participants | 0.461521 |
| public health skills | 0.412125 |
| Public Health Accreditation | 0.399972 |
| respondents | 0.632585 |
| public health practice | 0.438058 |
| public health training | 0.450087 |
| county health department | 0.404673 |
| continued EBPH training | 0.395802 |
| public health workforce | 0.548445 |
| health department workers | 0.431868 |
| core public health | 0.400747 |
| public health consultant | 0.389173 |
| Prevention Research Center | 0.49975 |
| local health department | 0.424714 |
|
| evidence-based practice | 0.424115 |
| EBPH course materials | 0.393771 |
| state health department | 0.46263 |
| course | 0.599546 |
| health departments | 0.464158 |
| public health professionals | 0.431219 |
| Fewer respondents | 0.396455 |
| St. Louis | 0.530039 |
| state health | 0.474448 |
| public health | 0.967966 |
| evidence-based practices | 0.412871 |
| international respondents | 0.46788 |
| evidence-based decision making | 0.661673 |
| frequent theme | 0.39672 |
| health department | 0.473904 |
| public health workers | 0.408664 |
| public health programs | 0.391488 |
| evidence-based public health | 0.598838 |
| local public health | 0.403434 |
| EBPH training guidelines | 0.390175 |
| barriers | 0.451371 |
| public health master | 0.395828 |
| EBPH | 0.552411 |
| evidence-based programs | 0.390501 |
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| 13496 |
Centers for Disease Control and Prevention |
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Reports & Updates |
Following laboratory safety incidents at CDC involving select agents, CDC conducted comprehensive internal reviews of each incident. An inspection of each involved laboratory was also conducted by US |
| findings | 0.250465 |
| CDC concurs | 0.823411 |
| Agricultural Select Agent | 0.738409 |
| USDA’s Animal | 0.506321 |
| Laboratory Specimen | 0.462041 |
| assessment | 0.247567 |
| implementation progress | 0.47641 |
| Influenza Virus H5N1 | 0.744662 |
| APHIS | 0.281353 |
| laboratory safety incidents | 0.776108 |
| Plant Health Inspection | 0.749156 |
| Inadvertent Cross-Contamination | 0.53034 |
| future events | 0.485646 |
| comprehensive internal reviews | 0.750825 |
| agency | 0.246348 |
| Inspection Report Anthrax | 0.739525 |
|
| incident. | 0.248338 |
| Potential Exposure | 0.70544 |
| Entity Inspection Report | 0.967308 |
| safety improvement recommendations | 0.725814 |
| Shipment | 0.253205 |
| Service | 0.247891 |
| USDA-APHIS | 0.26891 |
| risk mitigation practices | 0.747846 |
| Services. | 0.247716 |
| laboratory safety | 0.884225 |
| likelihood | 0.269046 |
| Ebola Virus | 0.48086 |
| culture | 0.246497 |
| select agents | 0.495552 |
| additional actions | 0.463191 |
|
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| 13865 |
Centers for Disease Control and Prevention |
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Announcements: Get Smart About Antibiotics Week - November16-22, 2015 |
Every year, more than 2 million persons in the United States are infected with antibiotic-resistant bacteria and approximately 23,000 persons die as a result of these infections (1). The rise of antibiotic resistance continues to represent a serious threat to human and animal health, national security, and economies worldwide. November 16–22, 2015, is Get Smart About Antibiotics Week, an annual observance to raise awareness of the threat of antibiotic resistance and the importance of appropriate antibiotic prescribing and use. |
| annual observance | 0.360146 |
| endorsement | 0.266533 |
| Human Services | 0.447594 |
| MMWR HTML versions | 0.464036 |
| U.S. Department | 0.447882 |
| state-based programs | 0.367422 |
| electronic PDF version | 0.451492 |
| stewardship activities | 0.402754 |
| World Health Organization | 0.495275 |
| issue | 0.245815 |
| Contact GPO | 0.371217 |
| Smart About Antibiotics | 0.712997 |
| commercial sources | 0.345222 |
| measurable progress | 0.351693 |
| antibiotic-resistant bacteria | 0.575549 |
| current prices | 0.340252 |
| persons | 0.247902 |
| health care facilities | 0.495028 |
| White House Forum | 0.483714 |
| original paper copy | 0.446003 |
| nursing homes | 0.350065 |
| United States | 0.371293 |
| original MMWR paper | 0.4588 |
| U.S. Government Printing | 0.451112 |
|
| public health threat | 0.518117 |
| roadmap | 0.229849 |
| for-profit partners | 0.355771 |
| MMWR readers | 0.351441 |
| character translation | 0.337915 |
| result | 0.230434 |
| stewardship programs | 0.404979 |
| key component | 0.350642 |
| antibiotic resistance | 0.912953 |
| antibiotic resistance observances | 0.733082 |
| format errors | 0.339416 |
| national security | 0.369035 |
| typeset documents | 0.346181 |
| trade names | 0.345323 |
| antibiotic stewardship | 0.727048 |
| official text | 0.336197 |
| appropriate antibiotic prescribing | 0.701848 |
| non-CDC sites | 0.343724 |
| animal health | 0.390196 |
| important factor | 0.354618 |
| electronic conversions | 0.335643 |
| National Action Plan | 0.486595 |
| Combat Antibiotic-Resistant Bacteria | 0.528492 |
| printable versions | 0.331854 |
|
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| 14356 |
Centers for Disease Control and Prevention |
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Multistate Outbreak of Salmonella Montevideo Infections Linked to Wonderful Pistachios | March 2016 | Salmonella |
Multistate Outbreak of Salmonella Montevideo and Salmonella Senftenberg Infections Linked to Wonderful Pistachios |
| WGS | 0.302453 |
| PulseNet | 0.288993 |
| Salmonella Infection | 0.281165 |
| outbreak strains | 0.412003 |
| long shelf life | 0.27049 |
| Public health investigators | 0.334606 |
| national database | 0.280322 |
| likely source | 0.278974 |
| limited number | 0.273126 |
| possible outbreaks | 0.284674 |
| DNA fingerprinting | 0.278351 |
| U.S. Food | 0.281565 |
| Salmonella Senftenberg | 0.531106 |
| median age | 0.278401 |
| CDC PulseNet | 0.275164 |
| close genetic relationship | 0.340037 |
| public health officials | 0.408469 |
| Trader Joe | 0.277453 |
| healthy people | 0.274978 |
| raw pistachios | 0.439781 |
| Wonderful brand pistachios | 0.450939 |
| pistachios | 0.561428 |
| Count Map page | 0.345385 |
| pulsed-field gel electrophoresis | 0.351676 |
| national subtyping network | 0.350151 |
|
| ill people | 0.909737 |
| Salmonella bacteria | 0.328983 |
| multistate outbreak | 0.310251 |
| regulatory agency laboratories | 0.347929 |
| Drug Administration | 0.286028 |
| food regulatory agency | 0.345451 |
| Salmonella Montevideo infections | 0.40614 |
| Recent laboratory testing | 0.336236 |
| Salmonella Montevideo | 0.75442 |
| wonderful pistachios | 0.509367 |
| brand names | 0.272444 |
| epi curve | 0.277984 |
| epidemic curve | 0.276942 |
| public health | 0.604727 |
| additional ill people | 0.311988 |
| outbreak strain | 0.295207 |
| Lost Hills | 0.279733 |
| Case Count Map | 0.345397 |
| DNA fingerprint | 0.271118 |
| shelled pistachios | 0.347526 |
| local public health | 0.327021 |
| Paramount Farms | 0.514564 |
| DNA fingerprints | 0.278543 |
| available information | 0.270854 |
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| 14458 |
Centers for Disease Control and Prevention |
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Malaria - Diagnosis & Treatment (United States) - Diagnosis (U.S.) - Rapid Diagnositc Test |
Education and information regarding diagnosis of malaria in the United States using a Rapid Diagnositc Test (RDT). |
| red blood cells | 0.470775 |
| clinical setting | 0.407344 |
| specific bands | 0.407022 |
| endemic area | 0.402263 |
| P. malariae | 0.396609 |
| currently approved RDT | 0.489308 |
| Binax | 0.335826 |
| High-quality malaria microscopy | 0.737251 |
| Plasmodium falciparum | 0.590199 |
| P. falciparum | 0.551057 |
| insufficient data | 0.404563 |
| test card window | 0.50398 |
| Medical Journal | 0.397864 |
| malaria infection | 0.627477 |
| patients | 0.357561 |
| diagnosis | 0.339952 |
| rapid diagnostic test | 0.671358 |
| malaria microscopy | 0.820747 |
| different malaria antigens | 0.65464 |
| person | 0.337522 |
| human malaria | 0.601624 |
| P. ovale | 0.396674 |
| Howden BP | 0.41219 |
| human species | 0.39179 |
| malaria parasites | 0.576414 |
|
| test procedure | 0.399515 |
| specific malaria antigens | 0.734239 |
| common species | 0.396783 |
| United States | 0.616999 |
| individual clinicians | 0.396617 |
| blood samples | 0.472672 |
| malaria | 0.969578 |
| medical attention | 0.402056 |
| patient | 0.355073 |
| important prognostic indicator | 0.476944 |
| Chronic falciparum malaria | 0.729931 |
| health-care settings | 0.405829 |
| lower numbers | 0.396128 |
| malaria RDT | 0.598094 |
| positive test | 0.407017 |
| results interpretation | 0.392452 |
| positive control | 0.40559 |
| reference laboratories | 0.405642 |
| positive RDTs | 0.392933 |
| sample pad | 0.414567 |
| certain reagents | 0.412357 |
| alternate way | 0.415904 |
| long delays | 0.408112 |
| healthcare settings | 0.404402 |
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Centers for Disease Control and Prevention |
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Find Programs for Your Patients | Diabetes |
National Diabetes Prevention Program |
| MPEG | 0.325588 |
| PDF | 0.280577 |
| in-person programs | 0.713729 |
| PPT | 0.361459 |
| patients | 0.373527 |
| email address | 0.910304 |
|
| DOC | 0.320066 |
| different file formats | 0.949192 |
| page | 0.375368 |
| hundreds | 0.317494 |
| online program | 0.585572 |
|
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