| 1214 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Farmers™ Perceptions of Local Food Procurement, Mississippi, 2013 - CDC |
We sought to understand the experiences and perceptions of food producers regarding food procurement programs for local institutions. A total of 72 (45%) Mississippi fruit and vegetable growers completed a mailed survey, and of those that reported selling to local businesses and institutions (54%), few were selling to schools (13%). The primary motivations to sell to institutions were to increase profits (67%) and to improve nutrition within their communities (57%), while the most commonly reported barrier was a lack of knowledge about how to sell to institutions (39%). Farm to institution programs must develop evidence-based practices designed to address barriers to producers’ participation in local institutional food procurement programs. |
| F2I programs | 0.630291 |
| additional perceived barriers | 0.630257 |
| Mississippi growers | 0.702862 |
| noninstitutional local purchasers | 0.654712 |
| local institutional food | 0.97678 |
| vegetable growers | 0.904202 |
| Disease Control | 0.711309 |
| school | 0.657504 |
| Harvest (http://www.localharvest.org). | 0.656093 |
| MBK Institutional Review | 0.618745 |
| food procurement expand | 0.680233 |
| contact information | 0.65975 |
| commonly reported barrier | 0.632489 |
| Delta Directions | 0.610936 |
| food safety certification | 0.648709 |
| local schools | 0.656816 |
| cross-sectional survey design | 0.635011 |
| local growers | 0.681629 |
| farm-to-school programs | 0.620824 |
| personal contact information | 0.612908 |
| Mississippi Food Policy | 0.677303 |
| F2S programs | 0.627987 |
| food procurement experts | 0.671466 |
| Good Agricultural Practices | 0.61191 |
|
| local food products | 0.691137 |
| local food | 0.7447 |
| Green Mountain Farm | 0.633732 |
| United States | 0.615045 |
| agricultural practices | 0.612603 |
| disease prevention interventions | 0.617374 |
| local businesses | 0.663243 |
| local community | 0.614741 |
| Brother’s Keeper | 0.642809 |
| Mississippi fruit | 0.83462 |
| school food services | 0.653503 |
| local food producers | 0.717454 |
| food producers | 0.757312 |
| Good Handling Practices | 0.611643 |
| local farmers markets | 0.673285 |
| local farmers | 0.673888 |
| institutional food procurement | 0.969135 |
| local institutions | 0.809485 |
| academic school | 0.627011 |
| statewide F2I program | 0.611009 |
| school field trip | 0.628033 |
| Agric Human Values | 0.682134 |
| food procurement programs | 0.978125 |
| local food procurement | 0.70912 |
|
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| 4736 |
Centers for Disease Control and Prevention |
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Eastern Equine Encephalitis - Arboviral Diagnostic Testing |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| arbovirus activity increases | 0.755158 |
| initial results | 0.475105 |
| fatal cases | 0.479542 |
| CDC | 0.320276 |
| histopathology | 0.268133 |
| Microsphere-Based Immunoassay | 0.466658 |
| confirmatory testing | 0.443563 |
| virus-specific IgM | 0.598843 |
| APPROPRIATE STATE HEALTH | 0.644131 |
| final results | 0.447749 |
| state health department | 0.94534 |
| patient | 0.280121 |
| specimen receipt | 0.511579 |
| CSF | 0.299929 |
| Initial serological testing | 0.710934 |
| Laboratory diagnosis | 0.477449 |
| antibodies | 0.257283 |
| nucleic acid amplification | 0.723214 |
| immunohistochemistry | 0.268758 |
| area | 0.24686 |
| arboviral infections | 0.538003 |
|
| test results | 0.651322 |
| MIA | 0.251833 |
| epidemiologic history | 0.522521 |
| dates | 0.247121 |
| Instructions | 0.241315 |
| virus culture | 0.462514 |
| autopsy tissues | 0.502588 |
| DVBID Arbovirus Diagnostic | 0.798779 |
| hard copy | 0.441693 |
| Preliminary diagnosis | 0.501719 |
| places | 0.247164 |
| IgM capture ELISA | 0.78432 |
| diagnostic specimens | 0.457961 |
| activities | 0.246795 |
| location | 0.246642 |
| IgG ELISA | 0.530671 |
| state laboratories | 0.471293 |
| serum | 0.27277 |
| travel | 0.247077 |
| non-endemic country | 0.490728 |
|
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| 4823 |
Centers for Disease Control and Prevention |
Html |
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Upstream ecological risks for overweight and obesity among African American youth in a rural town in the Deep South, 2007 |
null |
| high school | 0.671122 |
| school board member | 0.570448 |
| ecological theory | 0.560775 |
| multiple ecological levels | 0.557328 |
| local high school | 0.517367 |
| in-depth interviews | 0.530755 |
| issues | 0.524764 |
| recreational center | 0.522832 |
| complex community contexts | 0.556882 |
| youth resource center | 0.52676 |
| African American student | 0.545668 |
| rural community settings | 0.53977 |
| community coalition members | 0.536659 |
| right social connections | 0.543378 |
| African American families | 0.537743 |
| white community members | 0.605576 |
| community | 0.831912 |
| upstream ecological factors | 0.568684 |
| embodiment theory | 0.584683 |
| African American teachers | 0.548252 |
| specific rural communities | 0.524595 |
| specific community contexts | 0.673013 |
| qualitative community health | 0.557917 |
| African American students | 0.546638 |
| rural town | 0.548008 |
|
| African American children | 0.534995 |
| African American pastor | 0.542716 |
| African American members | 0.555722 |
| Georgia Southern University | 0.612882 |
| white American populations | 0.534485 |
| local health department | 0.517281 |
| African American community | 0.731071 |
| larger community health | 0.550864 |
| American community members | 0.648857 |
| participants | 0.674353 |
| African American women | 0.534257 |
| rural youth | 0.522121 |
| African American representative | 0.546315 |
| rural communities | 0.540218 |
| race | 0.5435 |
| community organizations | 0.535061 |
| Deep South | 0.64514 |
| rural community | 0.572343 |
| African American youth | 0.984297 |
| physical activity | 0.541702 |
| community health assessment | 0.623387 |
| illegal drug activity | 0.551447 |
| upstream levels | 0.530593 |
| healthful food options | 0.556908 |
|
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| 5070 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 09, 2009 |
null |
| Centers | 0.316662 |
| endorsement | 0.396275 |
| Pan_Pox | 0.317357 |
| current awareness | 0.398845 |
| Articles | 0.317148 |
| methods | 0.316549 |
| findings | 0.339957 |
| poxviruses detection | 0.401167 |
| Prevention | 0.316624 |
| G+C content | 0.398288 |
| inclusion | 0.319444 |
| Disease Control | 0.396855 |
| responsibility | 0.317408 |
| CDC Knowledge | 0.595157 |
| Action Science Clips | 0.915001 |
| factual accuracy | 0.401171 |
| omission | 0.325679 |
| views | 0.332321 |
| informational purposes | 0.391174 |
| Chief Science Officer | 0.501227 |
|
| conclusions | 0.319787 |
| public health literature | 0.477276 |
| permission | 0.321753 |
| B. Thacker CDC | 0.814108 |
| original authors | 0.388267 |
| article | 0.329399 |
| DHHS | 0.464409 |
| opinion | 0.331281 |
| non-CDC Websites | 0.392995 |
| universal PCR | 0.403454 |
| original sources | 0.396644 |
| DISCLAIMER | 0.325488 |
| selection | 0.316054 |
| service | 0.319393 |
| References | 0.316044 |
| public domain | 0.401592 |
| news sources | 0.390144 |
| Stephen B. Thacker | 0.698037 |
| items | 0.349743 |
|
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| 8275 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Recruitment and Retention ofPregnant Women for a Behavioral Intervention: Lessons from theMaternal Adiposity, Metabolism, and Stress MAMAS Study -CDC |
Recruiting participants for research studies can be challenging. Many studies fall short of their target or must prolong recruitment to reach it. We examined recruitment and retention strategies and report lessons learned in a behavioral intervention developmental trial to encourage healthy pregnancy weight gain and stress reduction in low-income overweight pregnant women. |
| francisco bay area | 0.679178 |
| study participants | 0.651465 |
| healthy pregnancy weight | 0.646725 |
| prenatal behavioral intervention | 0.627398 |
| child care costs | 0.624855 |
| pregnancy weight gain | 0.649335 |
| low-income study participants | 0.649307 |
| hospital-based prenatal clinics | 0.870349 |
| pregnant women | 0.948162 |
| recruitment | 0.717647 |
| clinic staff | 0.678502 |
| recruit low-income women | 0.640665 |
| gestational age | 0.711307 |
| social service providers | 0.623704 |
| San Francisco Bay | 0.67946 |
| 8-week behavioral intervention | 0.621619 |
| behavioral intervention | 0.676379 |
| low-income women | 0.688738 |
| stage pregnant women | 0.663755 |
| intervention participants | 0.651081 |
| California Pacific Medical | 0.618365 |
| intervention | 0.71233 |
| obese women | 0.631784 |
| study | 0.738022 |
| Phase | 0.662909 |
|
| Introduction
Recruiting participants | 0.630155 |
| weight gain | 0.679954 |
| intervention developmental trial | 0.621679 |
| gestational weight gain | 0.62321 |
| child care | 0.714388 |
| 8-week intervention | 0.618669 |
| social services agencies | 0.651552 |
| focus groups | 0.683691 |
| overall study retention | 0.614736 |
| eligible women | 0.855719 |
| intervention development trial | 0.6232 |
| eligible participants | 0.636194 |
| federal poverty guidelines | 0.674974 |
| prenatal care providers | 0.720656 |
| social services providers | 0.620009 |
| low-income minority women | 0.620264 |
| annual household income | 0.668159 |
| group intervention | 0.619645 |
| focus group participants | 0.740486 |
| inflexible work schedules | 0.613027 |
| San Francisco | 0.727267 |
| overweight pregnant women | 0.718981 |
| obese pregnant women | 0.868419 |
| retention rates | 0.65285 |
|
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| 8764 |
Centers for Disease Control and Prevention |
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Prevention and Control of Influenza with Vaccines: InterimRecommendations of the Advisory Committee on Immunization PracticesACIP, 2013 |
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. |
| ACIP influenza | 0.872596 |
| currently available influenza | 0.481444 |
| influenza vaccination recommendation | 0.516999 |
| trivalent influenza vaccine | 0.570866 |
| Influenza Div | 0.356053 |
| Routine annual influenza | 0.493014 |
| inactivated influenza vaccines | 0.555669 |
| ACIP influenza recommendation | 0.677909 |
| Immunization Practices | 0.331406 |
| cell culture-based vaccine | 0.305035 |
| newly licensed influenza | 0.463795 |
| Influenza Vaccine Abbreviations | 0.575174 |
| advisory committee | 0.383121 |
| recommendation statement | 0.212496 |
| influenza vaccine | 0.782048 |
|
| trivalent inactivated influenza | 0.458233 |
| Vaccine Recommendations | 0.285925 |
| influenza season | 0.497059 |
| influenza vaccines | 0.931059 |
| ACIP influenza vaccination | 0.813065 |
| influenza vaccination statement | 0.493736 |
| ACIP influenza recommendations | 0.714686 |
| hemagglutinin influenza vaccine | 0.562011 |
| vaccine categories | 0.210027 |
| ACIP recommendations | 0.314726 |
| inactivated influenza vaccine | 0.572555 |
| U.S. vaccine abbreviations | 0.307242 |
| attenuated influenza vaccine | 0.56412 |
| influenza virus | 0.356037 |
|
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| 9135 |
Centers for Disease Control and Prevention |
Html |
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Asthma - State Contacts and Programs |
State Contacts and Programs |
| Microsoft PowerPoint file | 0.471254 |
| State Contacts | 0.506092 |
| Current Asthma | 0.597021 |
| Microsoft Word file | 0.472866 |
| Health Care Coverage | 0.482473 |
| Data Table 1-1 | 0.960899 |
| Uncontrolled Asthma | 0.561314 |
| Asthma-related Missed School | 0.466799 |
| America Breathing Easier | 0.51386 |
| Health care providers | 0.51237 |
| Data Collection Choices | 0.479204 |
| Microsoft Excel file | 0.470845 |
| Asthma Call-back Survey | 0.592378 |
| Nonfunded Asthma Contacts | 0.571053 |
| page options Skip | 0.478664 |
| Asthma Action Plan | 0.708058 |
| asthma | 0.772578 |
| live healthier lives | 0.518099 |
| different file formats | 0.468842 |
| Asthma Data | 0.586091 |
| Apple Quicktime file | 0.470541 |
| Asthma Resources | 0.550934 |
| long-term control medication | 0.466952 |
| Management Asthma Action | 0.595043 |
| Control Asthma Brochures | 0.598798 |
|
| NCHS Asthma FastStats | 0.581582 |
| Asthma Severity | 0.580056 |
| AsthmaStats Asthma | 0.562846 |
| National Asthma Control | 0.633724 |
| Inner City Asthma | 0.571566 |
| Adobe PDF file | 0.468258 |
| CDC National Asthma | 0.580275 |
| Recent Asthma State | 0.600066 |
| active asthma | 0.579329 |
| Mixed Age Groups | 0.554219 |
| Medical clinics/physicians | 0.528532 |
| hospital emergency departments | 0.507309 |
| Search Form Controls | 0.54622 |
| Quick Links | 0.467024 |
| ASL Asthma Film | 0.626418 |
| Work-related Asthma | 0.556977 |
| Asthma Care Training | 0.578243 |
| health care | 0.518671 |
| Asthma Clinical Guidelines | 0.629482 |
| Publications Asthma Surveillance | 0.577173 |
| State Data Profiles | 0.489359 |
| Health Care Provider | 0.482751 |
| Search Controls | 0.472881 |
| NHIS Prevalence Data | 0.490843 |
|
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| 11299 |
Centers for Disease Control and Prevention |
Html |
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What U.S. Hospitals Need to Know to Prepare for Ebola Virus Disease - Conference Call August 5, 2014 | Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| impacted countries | 0.485042 |
| United States | 0.444016 |
| patients | 0.326601 |
| Ebola hemorrhagic fever | 0.809932 |
| U.S. hospitals | 0.457057 |
| updates | 0.323667 |
| steps | 0.331951 |
| American citizens | 0.454404 |
| COCA | 0.348577 |
|
| guidance | 0.329852 |
| recent Ebola virus | 0.821637 |
| West Africa | 0.551427 |
| U.S. healthcare facilities | 0.549834 |
| outbreak | 0.402273 |
| clinicians | 0.339802 |
| U.S. hospital | 0.433922 |
| possibility | 0.387737 |
|
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| 13230 |
Centers for Disease Control and Prevention |
Html |
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Decrease in Rate of Opioid Analgesic Overdose Deaths -Staten Island, New York City, 2011-2013 |
Denise Paone, EdD1, Ellenie Tuazon, MPH1, Jessica Kattan, MD1, Michelle L. Nolan, MPH1, Daniella Bradley O'Brien1, Deborah Dowell, MD2, Thomas A. Farley, MD3, Hillary V. |
| Staten Island prescribers | 0.469775 |
| overdose rates | 0.393587 |
| public health interventions | 0.509204 |
| analgesic–involved overdose mortality | 0.494321 |
| Prescription Monitoring Program | 0.383121 |
| state prescription monitoring | 0.433457 |
| Staten Island–specific | 0.382075 |
| heroin-involved overdose mortality | 0.401298 |
| New York City | 0.413413 |
| analgesic high-dose prescribing | 0.377967 |
| Staten Island rates | 0.425924 |
| Staten Island | 0.907289 |
| analgesic prescribing patterns | 0.376389 |
| overdose mortality rates | 0.537077 |
| opioid analgesic–involved mortality | 0.464188 |
| heroin-involved overdose deaths | 0.414935 |
| opioid analgesic mortality | 0.488139 |
| high-dose opioid | 0.443528 |
| high dose prescriptions | 0.382334 |
| overdose death rate | 0.414324 |
| opioid analgesic–involved overdose | 0.700631 |
| Island local news | 0.366255 |
| unintentional drug poisoning | 0.390769 |
| Staten Island physicians | 0.430353 |
|
| NYC boroughs | 0.428123 |
| opioid analgesic prescriptions | 0.677705 |
| Methadone-involved overdose deaths | 0.395821 |
| opioid analgesics | 0.515867 |
| short-acting opioid analgesic | 0.479745 |
| Staten Island stakeholders | 0.442052 |
| office educational visits | 0.426119 |
| Staten Island mortality | 0.467856 |
| judicious opioid prescribing | 0.461141 |
| opioid use disorders | 0.42855 |
| Staten Island–targeted efforts | 0.418692 |
| overdose mortality | 0.610933 |
| new york state | 0.387518 |
| opioid prescribing guidelines | 0.505838 |
| Staten Island town | 0.442758 |
| public service announcements | 0.388843 |
| analgesic prescribing data | 0.386709 |
| Staten Island campaign | 0.442581 |
| analgesic–involved overdose deaths | 0.434923 |
| Staten Island area | 0.414583 |
| overdose mortality trends | 0.412818 |
| Staten Island residents | 0.536873 |
| drug-involved overdose deaths | 0.391229 |
|
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| 14154 |
Centers for Disease Control and Prevention |
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Food Security Status and Barriers to Fruit and Vegetable Consumption in Two Economically Deprived Communities of Oakland, California, 2013-2014 |
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. |
| preparation time | 0.386846 |
| Food environment | 0.266099 |
| short-form food security | 0.293921 |
| vegetable consumption | 0.964856 |
| food security status | 0.819188 |
| healthy food intake | 0.304678 |
| daily servings | 0.443193 |
| adequate food | 0.265184 |
| food-insecure populations | 0.349639 |
| healthy food consumption | 0.804421 |
| economically deprived neighborhoods | 0.288628 |
| lower consumption | 0.30183 |
| food insecurity | 0.343423 |
| food choice | 0.263559 |
| food-insecure respondents | 0.565066 |
| food cost | 0.289784 |
| taste preferences | 0.290055 |
| food secure | 0.285195 |
| total consumption | 0.293753 |
| healthy food taste | 0.352374 |
| consumption rates | 0.349536 |
| taste × food | 0.277289 |
| Average monthly consumption | 0.322755 |
| healthy foods | 0.636358 |
|
| healthy food access | 0.305503 |
| study | 0.304999 |
| fruit | 0.402795 |
| food quality | 0.27463 |
| independent variables | 0.269603 |
| minimally sufficient set | 0.290922 |
| 26-item dietary screener | 0.350496 |
| vegetables | 0.337694 |
| in-home food preparation | 0.276138 |
| daily consumption | 0.2992 |
| food preparation time | 0.367139 |
| food-secure respondents | 0.473593 |
| food decisions | 0.29874 |
| fruits | 0.289037 |
| food-insecure households | 0.274192 |
| public health | 0.263941 |
| cost | 0.365557 |
| average daily servings | 0.303876 |
| annual household income | 0.289409 |
| vegetable consumption control | 0.344681 |
| healthy food preparation | 0.30611 |
| food-secure populations | 0.290818 |
| barriers | 0.290411 |
| college degree | 0.287736 |
|
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