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FluVaxView: Pregnant Women and Flu Shots 2012 |
CDC Centers for Disease Control and Prevention Influenza Flu - findings from the Internet Panel Survey of pregnant women flu vaccination in the United States for the 2010-11, 2011-12, and 2012-13 flu seasons. |
| seasonal flu vaccination | 0.441483 |
| following responses | 0.30291 |
| 2012-13 influenza season | 0.269092 |
| vaccination campaigns | 0.313909 |
| medical professional recommendation | 0.263657 |
| vaccination status questions | 0.353189 |
| flu vaccine costs | 0.334342 |
| season flu vaccination | 0.413299 |
| medical insurance | 0.281901 |
| recommendation | 0.280353 |
| panel survey estimates | 0.268639 |
| Page | 0.304457 |
| common main reason | 0.289595 |
| internet panel survey | 0.439464 |
| vaccination coverage | 0.704544 |
| pregnant women | 0.954609 |
| 2011-12 influenza season | 0.26866 |
| flu vaccination | 0.886162 |
| tangible barrier | 0.277898 |
| racial/ethnic groups | 0.259169 |
| high-risk conditions | 0.281908 |
| Younger pregnant women | 0.364675 |
| Concern vaccination | 0.308251 |
| safety risk | 0.268993 |
| supply flu vaccine | 0.333897 |
|
| current vaccination efforts | 0.323188 |
| CDC Flu | 0.304262 |
| national flu vaccination | 0.404142 |
| early season | 0.312472 |
| prior early season | 0.261338 |
| United States | 0.260621 |
| higher vaccination coverage | 0.341409 |
| flu vaccine | 0.427823 |
| flu season coverage | 0.364522 |
| flu vaccination coverage | 0.694591 |
| early season estimates | 0.308652 |
| Influenza vaccination coverage | 0.338214 |
| unvaccinated pregnant women | 0.334278 |
| flu shots | 0.354322 |
| National Influenza Vaccination | 0.352791 |
| Healthy People | 0.259882 |
| influenza season | 0.32808 |
| safety concern | 0.295688 |
| influenza vaccination | 0.388498 |
| vaccination results | 0.298357 |
| college degree | 0.38774 |
| flu shot | 0.372302 |
| flu vaccine/severity | 0.30854 |
| flu vaccination levels | 0.443333 |
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Using metrics to improve population health |
null |
| Robert M. Pestronk | 0.4407 |
| Quality improvement culture | 0.441611 |
| disease conditions | 0.394077 |
| right metrics | 0.58928 |
| clinical health | 0.4748 |
| logic model framework | 0.461168 |
| population health goals | 0.547437 |
| quality improvement | 0.446461 |
| economic underpinnings | 0.404873 |
| economic class | 0.398708 |
| improved population health | 0.541995 |
| composite metrics | 0.696953 |
| Mobilizing Action | 0.475996 |
| population health | 0.947093 |
| population’s health | 0.515648 |
| health care services | 0.500582 |
| reasonable incentives | 0.416687 |
| City Health Officials | 0.485872 |
| universal childhood vaccination | 0.436559 |
| group’s health | 0.447517 |
| economic incentives | 0.419943 |
| metrics | 0.925953 |
| individual metrics | 0.649873 |
| political grounding | 0.401378 |
| improved health | 0.451304 |
|
| large sample sizes | 0.449659 |
| economic constructs | 0.395587 |
| measurable clinical outcomes | 0.465777 |
| aggregate metric thought | 0.450734 |
| performance improvement process | 0.441611 |
| incentives | 0.466041 |
| ideal metrics | 0.63372 |
| population-based health incentive | 0.511288 |
| Community Health | 0.505302 |
| population health improvement | 0.567853 |
| continuous quality improvement | 0.43431 |
| Wood Johnson Foundation | 0.441767 |
| better health | 0.442402 |
| change | 0.41869 |
| logic model | 0.47735 |
| population level | 0.461954 |
| potential incentives | 0.423298 |
| new metrics | 0.590013 |
| single body controls | 0.459885 |
| present metrics | 0.58916 |
| Measurable health outcomes | 0.519752 |
| economic environments shape | 0.457468 |
| 17th St NW | 0.435418 |
| large population effect | 0.495641 |
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Overview of a Pandemic - 2009 H1N1 Accomplishments (Part 1 of 3) |
null |
| CDC | 0.84279 |
| mass quantities | 0.472632 |
| current technological limitations | 0.472443 |
| A/California/7/2009 virus | 0.517721 |
| complete gene sequences | 0.492987 |
| vaccine supplies | 0.56245 |
| rRT-PCR Flu Panel | 0.51174 |
| medical products | 0.496858 |
| Deaths Reporting Activity | 0.512672 |
| CDC laboratory experts | 0.648559 |
| candidate vaccine virus | 0.931856 |
| Section 508-accessible version | 0.520978 |
| influenza virus strain | 0.741067 |
| egg-based manufacturing process | 0.473756 |
| CDC’s laboratories | 0.535511 |
| stand-alone Web document | 0.518452 |
| international public health | 0.498311 |
| H1N1 strain | 0.482327 |
| CDC test kits | 0.645587 |
| vaccine strain | 0.590826 |
| H1N1 vaccine | 0.786788 |
| publicly-accessible international influenza | 0.547959 |
| HI test kits | 0.49497 |
| H1N1 cases | 0.459192 |
| rRT-PCR Swine Flu | 0.518877 |
|
| H1N1 outbreak | 0.465652 |
| new surveillance systems | 0.679625 |
| CDC’s Influenza | 0.633739 |
| important laboratory activities | 0.488821 |
| chicken eggs | 0.470087 |
| H1N1 flu | 0.487676 |
| public health emergency | 0.500343 |
| public health | 0.611165 |
| Panel diagnostic test | 0.486492 |
| child care programs | 0.501162 |
| previously manufactured tests | 0.485511 |
| initial laboratory tests | 0.509048 |
| h1n1 virus | 0.951124 |
| syndromic flu-related hospitalizations | 0.552019 |
| H1N1 diagnostic tests | 0.546149 |
| swine flu | 0.537219 |
| seasonal flu vaccine | 0.662141 |
| important medical products | 0.488728 |
| new virus | 0.558337 |
| vaccine candidate virus | 0.774583 |
| influenza viruses | 0.518664 |
| vaccine candidate strain | 0.676299 |
| safe flu vaccines | 0.504369 |
| RT-PCR test kits | 0.499553 |
|
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Science Clips - Monday, August 09, 2010 |
null |
| Pediatr Infect Dis | 0.671468 |
| systolic blood pressure | 0.660883 |
| Risk factors | 0.664274 |
| nevirapine resistance postpartum | 0.660076 |
| unscreened adult population | 0.664129 |
| Disease Control | 0.671223 |
| Human papillomavirus vaccination | 0.659895 |
| CDC Knowledge | 0.704724 |
| Program sample subset | 0.660908 |
| Action Science Clips | 0.900438 |
| Work Environ Health. | 0.66342 |
| new weekly digest | 0.669679 |
| newly diagnosed type | 0.660813 |
| ovarian cancer | 0.673276 |
| Chief Science Officer | 0.677433 |
| nationwide measles-rubella immunization | 0.664934 |
| Infect Dis. | 0.674652 |
| Emerg Themes Epidemiol. | 0.667755 |
| human papillomavirus | 0.666333 |
| Non-Hodgkin lymphoma survival | 0.664825 |
| Stephen B. Thacker | 0.733467 |
| puffer fish intoxication | 0.66446 |
| East African lakes | 0.667329 |
| risk factor surveillance | 0.662415 |
| Center Longitudinal Study | 0.66534 |
|
| implausible gestational ages | 0.660968 |
| internally displaced persons | 0.665829 |
| childhood pneumococcal immunization | 0.673265 |
| Feikin DR | 0.697398 |
| United States | 0.667045 |
| Proc Natl Acad | 0.660623 |
| invasive pneumococcal disease | 0.683248 |
| measles case fatality | 0.664493 |
| staphylococcus aureus coinfection | 0.666807 |
| coronary artery risk | 0.662756 |
| care unit patients | 0.661163 |
| prospective cohort study | 0.660942 |
| blood culture yield | 0.662712 |
| Papanicolaou testing vs | 0.663027 |
| public health literature | 0.664288 |
| B. Thacker CDC | 0.759853 |
| H5N1 influenza virus | 0.659896 |
| pneumococcal bacteremia incidence | 0.66489 |
| unfounded vaccine safety | 0.663584 |
| Respiratory syncytial virus | 0.666019 |
| et al | 0.733674 |
| Japanese encephalitis virus | 0.670071 |
| Health Serv Res. | 0.664673 |
| Plasmodium falciparum malaria | 0.660724 |
|
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Fragile X Findings |
null |
| reports data | 0.259164 |
| beneficial programs | 0.267162 |
| CDC | 0.237071 |
| genetic disorders | 0.260363 |
| findings | 0.224635 |
| fragile X premutation | 0.561077 |
| Wisconsin-Madison’s Waisman | 0.264273 |
| individuals | 0.212499 |
| important step | 0.263874 |
| FMR1 gene | 0.472555 |
| Disease Control | 0.260428 |
| fragile x syndrome | 0.739026 |
| genetic disorder | 0.259559 |
| premutation | 0.613195 |
| health care providers | 0.319439 |
| results | 0.221322 |
| potential | 0.212845 |
| family members | 0.254748 |
| dizziness | 0.211994 |
| new study | 0.257751 |
| lives | 0.212836 |
| researchers | 0.220871 |
| article | 0.211756 |
| symptoms | 0.237292 |
| relatively small number | 0.295126 |
|
| scientists | 0.212544 |
| menstrual cycle | 0.25775 |
| earlier age | 0.256559 |
| conditions | 0.252016 |
| women | 0.273731 |
| DNA test | 0.25065 |
| FMR1 premutation | 0.377483 |
| study | 0.318825 |
| genetic counselor | 0.252665 |
| United States | 0.439444 |
| changes | 0.238085 |
| previous research | 0.25647 |
| numbness | 0.213967 |
| normal brain development | 0.310996 |
| fragile X-associated disorders | 0.973612 |
| blood test | 0.25271 |
| fainting | 0.21284 |
| services | 0.212505 |
| abstract | 0.211762 |
| families | 0.212494 |
| people | 0.390884 |
| higher number | 0.254577 |
| new research study | 0.316816 |
| older adults | 0.311202 |
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Centers for Disease Control and Prevention |
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Criterios de medición ambiental para mejorar la salud de la comunidad |
null |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Factors Associated With the Adoption of a Patient Education Intervention Among First Responders, King County, Washington, 2010"2011 - CDC |
This study investigated facilitators and barriers to adoption of an at-scene patient education program by firefighter emergency medical technicians (EMTs) in King County, Washington. |
| EMS patient encounters | 0.40046 |
| patient education materials | 0.524378 |
| survey respondents | 0.376956 |
| diffusion theory | 0.483505 |
| junior firefighter EMTs | 0.40102 |
| medical incident report | 0.393611 |
| overall response rate | 0.377175 |
| patient education intervention | 0.591743 |
| patient education project | 0.393312 |
| EMS training officers | 0.375723 |
| patient important health | 0.3764 |
| EMS providers | 0.610935 |
| emergency medical technicians | 0.432881 |
| EMT advisory board | 0.392575 |
| patients | 0.408437 |
| basic life support | 0.387761 |
| EMS response | 0.400106 |
| relative advantage | 0.427031 |
| behavioral norms | 0.467186 |
| patient care | 0.38571 |
| certified firefighter EMTs | 0.410943 |
| patient education | 0.808667 |
| chronic disease | 0.463831 |
| survey | 0.395975 |
| patient education programs | 0.385119 |
|
| chronic disease prevention | 0.394364 |
| emergency patient encounter | 0.378682 |
| volunteer EMS providers | 0.383999 |
| EMTs hand | 0.378198 |
| blood glucose | 0.398629 |
| EMS patient education | 0.45194 |
| firefighter EMTs | 0.562151 |
| at-scene patient education | 0.60132 |
| emergency medical services | 0.482204 |
| adoption | 0.409552 |
| EMS-based patient education | 0.393804 |
| departments | 0.383905 |
| health care | 0.377863 |
| patient education program | 0.503588 |
| MIRF backer | 0.925489 |
| patient education pamphlet | 0.482311 |
| training officers | 0.382195 |
| patient education interventions | 0.427518 |
| New patient education | 0.385131 |
| high-risk EMS patients | 0.384863 |
| high blood pressure | 0.489803 |
| acute patient care | 0.381051 |
| EMT-delivered patient education | 0.394849 |
| King County | 0.649482 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Perceived Benefits and Challenges of Coordinated Approaches to Chronic Disease Prevention in State Health Departments - CDC |
Chronic disease prevention efforts have historically been funded categorically according to disease or risk factor. Federal agencies are now progressively starting to fund combined programs to address common risk. The purpose of this study was to inform transitions to coordinated chronic disease prevention by learning views on perceived benefits and challenges of a coordinated approach to funding. |
| Prev Chronic Dis | 0.469192 |
| multiple chronic conditions | 0.426761 |
| chronic disease practice | 0.427653 |
| Chronic Disease Program | 0.408834 |
| disease prevention directors | 0.389363 |
| disease prevention practices | 0.385697 |
| state health departments | 0.535255 |
| disease prevention coordination | 0.383699 |
| health department staff | 0.394612 |
| health department chronic | 0.496494 |
| Chronic disease epidemiology | 0.399414 |
| chronic disease strategy | 0.401923 |
| disease prevention planning | 0.381419 |
| department chronic disease | 0.489721 |
| chronic disease | 0.972362 |
| chronic disease grants | 0.402305 |
| higher chronic disease | 0.420207 |
| chronic disease practitioners | 0.434847 |
| chronic disease burden | 0.42564 |
| chronic disease plan | 0.406707 |
| chronic lung diseases | 0.385295 |
| chronic disease prevention | 0.897659 |
| common risk factors | 0.563334 |
| disease prevention programs | 0.410705 |
| integrated chronic disease | 0.399918 |
|
| common perceived challenges | 0.383632 |
| challenges | 0.400946 |
| United States | 0.39258 |
| chronic disease committee | 0.415408 |
| core public health | 0.381915 |
| chronic disease directors | 0.485986 |
| state health department | 0.760601 |
| technical assistance | 0.42637 |
| State chronic disease | 0.429518 |
| Introduction
Chronic disease | 0.426811 |
| early coordinated chronic | 0.408492 |
| St. Louis | 0.419619 |
| public health | 0.682216 |
| American Public Health | 0.388117 |
| Public Health Association | 0.425775 |
| Chronic disease funding | 0.422498 |
| chronic diseases | 0.402193 |
| oregon public health | 0.404259 |
| chronic disease programs | 0.432875 |
| evidence-based public health | 0.406682 |
| Public Health Division | 0.390598 |
| chronic disease approaches | 0.47928 |
| health department employees | 0.41869 |
| disease prevention funding | 0.386958 |
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Cancer Research |
Scientists in CDC's Division of Cancer Prevention and Control author or co-author many articles that are published in scientific journals each year. You can be notified of new CDC cancer research in several ways. |
| Citation Search Tool | 0.709686 |
| Collection Timeline page | 0.672466 |
| DCPC programs | 0.541506 |
| code | 0.332362 |
| behavioral science | 0.536374 |
| favorite RSS reader | 0.711547 |
| Subscribe | 0.35605 |
| Control Research Network | 0.721319 |
| different areas | 0.541277 |
| expertise | 0.338557 |
| title | 0.334775 |
| cancer research | 0.917343 |
| comprehensive cancer control | 0.784468 |
| burden | 0.42213 |
| cancer research tweet | 0.740529 |
| epidemiology | 0.343323 |
| national network | 0.51219 |
| health disparities | 0.586078 |
| CDC’s e-mail | 0.628467 |
| health services | 0.55592 |
| publication | 0.334658 |
| studies | 0.339324 |
| Division | 0.339514 |
|
| Questions | 0.335186 |
| RSS. | 0.333546 |
| health care providers | 0.754028 |
| scientific journals | 0.522186 |
| visit Twitter | 0.50665 |
| DCPC scientists author | 0.712049 |
| CDC cancer research | 0.886769 |
| co-author many articles | 0.542397 |
| community partners | 0.50999 |
| Cancer Research RSS | 0.776995 |
| CPCRN | 0.334216 |
| medicine | 0.338368 |
| people | 0.338052 |
| CDC’s Cancer | 0.802434 |
| economics | 0.338478 |
| Web page | 0.634402 |
| collaboration | 0.334771 |
| sound science | 0.542992 |
| e-mails | 0.341745 |
| Cancer Prevention | 0.733175 |
| conducts | 0.335006 |
| technical information | 0.500337 |
| public health research | 0.782637 |
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Notes from the Field: Typhoid Fever Outbreak Associated withan Asymptomatic Carrier at a Restaurant - Weld County, Colorado,2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| current restaurant employees | 0.487799 |
| credit card statement | 0.477974 |
| original MMWR paper | 0.469866 |
| symptom onset | 0.506899 |
| typhoid fever | 0.756684 |
| food service staff | 0.485701 |
| food service work | 0.483006 |
| chronic S. Typhi | 0.646753 |
| public health authorities | 0.495789 |
| infected restaurant worker | 0.478884 |
| PFGE outbreak patterns | 0.497104 |
| credit card receipts | 0.62237 |
| S. Typhi infection | 0.821962 |
| clinically compatible illness | 0.472557 |
| common exposure sources | 0.476714 |
| S. Typhi carrier | 0.597899 |
| S. Typhi | 0.941909 |
| Salmonella Typhi infection | 0.617758 |
| ill persons | 0.480297 |
| CDPHE | 0.473432 |
| food service | 0.517239 |
| endemic typhoid fever | 0.511816 |
| social media | 0.477955 |
| public health | 0.698585 |
|
| rectal swab specimens | 0.536904 |
| Weld County Department | 0.482514 |
| indistinguishable PFGE patterns | 0.485188 |
| state health laboratory | 0.483836 |
| discernible epidemiologic connection | 0.48426 |
| international travel | 0.522423 |
| Weld Country resident | 0.472518 |
| patients | 0.48131 |
| health alert notification | 0.486107 |
| grocery stores | 0.476278 |
| local public health | 0.548455 |
| shopper card records | 0.47845 |
| fresh produce purchases | 0.470451 |
| 3Weld County Department | 0.470489 |
| state public health | 0.485194 |
| Salmonella National Hypothesis | 0.48164 |
| chronic carrier stools | 0.469459 |
| common restaurant exposures | 0.490113 |
| food handling issues | 0.482087 |
| PFGE outbreak definition | 0.49021 |
| public health laboratories | 0.482126 |
| pulsed-field gel electrophoresis | 0.475071 |
| S. Typhi carriers | 0.576139 |
|
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