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Closure of Varicella-Zoster Virus-Containing VaccinesPregnancy Registry - United States, 2013 |
Mona Marin, MD1, English D. Willis, MD2, Ann Marko2, Sonja A. Rasmussen, MD3, Stephanie R. |
| pregnancy outcomes | 0.375319 |
| English D. Willis | 0.373155 |
| Drug Administration | 0.364833 |
| vaccine adverse event | 0.409547 |
| Stephanie R. Bialek | 0.372051 |
| Karen R. Broder | 0.358617 |
| registry enrollments | 0.343216 |
| vzv-containing vaccines | 0.565082 |
| pregnant women | 0.372841 |
| vaccine virus replication | 0.362181 |
| Ann Marko | 0.340659 |
| major birth defects | 0.363313 |
| Zoonotic Infectious Diseases | 0.358314 |
| health care providers | 0.362522 |
| varicella-susceptible women | 0.465714 |
| observed average rate | 0.355684 |
| sustained high coverage | 0.361309 |
| wild-type VZV | 0.431374 |
| small risk | 0.342787 |
| varicella vaccine | 0.397193 |
| National Center | 0.359038 |
| registry | 0.420824 |
| VZV-containing vaccine | 0.342295 |
| vaccine administrations | 0.34148 |
|
| Author affiliations | 0.33848 |
| registry data | 0.352221 |
| pregnancy | 0.494787 |
| Merck/CDC Pregnancy Registry | 0.401884 |
| congenital varicella syndrome | 0.960029 |
| high-risk period | 0.412878 |
| theoretical risk | 0.396419 |
| attenuated VZV | 0.357294 |
| adverse events | 0.35873 |
| New patient enrollment | 0.357673 |
| birth defects | 0.369427 |
| Sonja A. Rasmussen | 0.374062 |
| Immunization Safety Office | 0.360683 |
| varicella-zoster virus | 0.338347 |
| live-born infants | 0.389435 |
| exposure | 0.338361 |
| traditional childbearing ages | 0.363885 |
| Adverse Event Reporting | 0.359504 |
| confidence interval | 0.36206 |
| low birth weight | 0.367482 |
| pregnancy-related vaccine | 0.341156 |
| Varivax | 0.390297 |
| Mona Marin | 0.372237 |
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Larger image of Eschars - Other Spotted Fever |
CDC - Wide Page example description goes here |
| site | 0.443974 |
| patient | 0.442524 |
| tick attachment | 0.967825 |
|
| R. parkeri | 0.717398 |
| Inoculation eschars | 0.92153 |
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Syphilis & MSM (Men Who Have Sex With Men) - CDC Fact Sheet |
Syphilis and MSM Fact Sheet from CDC. Why should MSM be concerned about syphilis? What is the link between syphilis and HIV? And more... |
| eye problems | 0.547967 |
| sexually transmitted infection | 0.613638 |
| severe medical problems | 0.575802 |
| sex partners | 0.544643 |
| United States | 0.6277 |
| swollen lymph nodes | 0.576604 |
| Prevention Information Network | 0.5677 |
| STD Prevention Conference | 0.578278 |
| P. O. Box | 0.565582 |
| STD information | 0.545041 |
| latent stage | 0.54451 |
| painless sores | 0.584265 |
| Transmitted Diseases Treatment | 0.571807 |
| Association (ASHA) | 0.56812 |
| fact sheet | 0.577798 |
| Disease Control | 0.58979 |
| STD Clinics | 0.545664 |
| secondary syphilis | 0.787417 |
| syphilis sores | 0.779091 |
| direct contact | 0.542343 |
| anal sex | 0.553109 |
| American Sexual Health | 0.56719 |
| sexually active man | 0.584651 |
| sexually -active person | 0.600827 |
|
| different signs | 0.584584 |
| sex partner | 0.562784 |
| Sexually Transmitted Disease | 0.589762 |
| oral sex | 0.548377 |
| MSM | 0.553645 |
| syphilis | 0.973773 |
| P&S syphilis cases | 0.797642 |
| vaginal sex | 0.58439 |
| swimming pools | 0.540599 |
| original site | 0.541567 |
| symptoms | 0.547758 |
| skin rash | 0.540632 |
| Sexually Transmitted Diseases | 0.631257 |
| STD Increases | 0.545569 |
| Tertiary syphilis | 0.768469 |
| health problems | 0.613062 |
| healthcare provider | 0.615259 |
| MMWR Recomm Rep | 0.565485 |
| Research Triangle Park | 0.565082 |
| P&S syphilis | 0.803512 |
| risk | 0.549294 |
| hot tubs | 0.541373 |
| HIV infection | 0.562322 |
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Pandemic Resources Tools - FluAid 2.0 |
FluAid is designed to assist state and local level planners in preparing for the next influenza pandemic by providing estimates of potential impact specific to their locality - CDC |
| software | 0.516625 |
| Download Stand-alone FluAid | 0.515788 |
| hospital beds | 0.478608 |
| maximum estimates | 0.497184 |
| sufficient hospital beds | 0.477245 |
| potential economic impact | 0.516629 |
| health outcomes | 0.641615 |
| necessary data specific | 0.480656 |
| outpatient visits | 0.535885 |
| general modeling philosophy | 0.479731 |
| potential impact specific | 0.593907 |
| level public health | 0.508244 |
| high risk condition | 0.485468 |
| state | 0.526028 |
| health care providers | 0.54387 |
| test version | 0.497184 |
| adverse health outcome | 0.49127 |
| influenza pandemic | 0.900051 |
| national level estimates | 0.749851 |
| public health planner | 0.488382 |
| national level model | 0.567344 |
| local level plans | 0.501764 |
| User’s Manual | 0.494661 |
| measurable economic impact | 0.502765 |
|
| national estimates | 0.508931 |
| non-high risk | 0.533774 |
| high risk | 0.557306 |
| after-the-event estimates | 0.498822 |
| gross attack rates | 0.47811 |
| national level impact | 0.519931 |
| Influenza pandemics | 0.514142 |
| influenza pandemic plan | 0.636715 |
| adverse health outcomes | 0.571102 |
| sustained human-to-human transmission | 0.487604 |
| pandemic influenza | 0.682812 |
| health care planner | 0.490443 |
| possible pandemic | 0.538755 |
| local level model | 0.619325 |
| user supply minimum | 0.482595 |
| potential impact | 0.790094 |
| influenza pandemic-related morbidity | 0.55149 |
| health care | 0.548209 |
| public health | 0.531596 |
| economic impact | 0.543038 |
| local level planners | 0.579442 |
| local health care | 0.496578 |
| local level | 0.702179 |
| FluAid | 0.623351 |
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HAN Archive - 00326 - Hantavirus Pulmonary Syndrome Cases Associated with Staying in Yosemite National Park, California |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| non-cardiogenic pulmonary edema | 0.410483 |
| rodent urine | 0.333831 |
| Yosemite National Park | 0.971705 |
| canvas exterior sides | 0.407488 |
| clinically compatible illnesses | 0.407381 |
| Disease Control | 0.440059 |
| deer mice | 0.322578 |
| state health departments | 0.460252 |
| CDC’s Hantavirus | 0.397286 |
| CDC document | 0.363483 |
| ill persons | 0.341538 |
| health care providers | 0.467445 |
| additional information | 0.314082 |
| bilateral interstitial infiltrates | 0.418547 |
| gastrointestinal symptoms | 0.323338 |
| immediate medical attention | 0.405134 |
| solid walls | 0.314987 |
| Additional suspected cases | 0.428131 |
| Chest radiographs | 0.315974 |
| party exhibit symptoms | 0.416857 |
| multiple health jurisdictions | 0.456294 |
| hantavirus pulmonary syndrome | 0.49016 |
| zoonotic viral disease | 0.458433 |
| HPS symptoms | 0.662883 |
| Viral Special Pathogens | 0.41607 |
|
| California Department | 0.335239 |
| Boystown area | 0.321571 |
| CDC Health Alert | 0.548262 |
| small viral particles | 0.439265 |
| Public Health | 0.370714 |
| reportable disease | 0.329488 |
| clinical case definition | 0.402219 |
| HPS | 0.925657 |
| HAN Advisory | 0.326228 |
| enhances health decisions | 0.428261 |
| critical health issues | 0.433227 |
| state health department | 0.430434 |
| incubation period | 0.314923 |
| Notifiable Diseases | 0.316217 |
| Signature Tent Cabins | 0.948904 |
| Laboratory abnormalities | 0.314734 |
| toll-free Hantavirus Hotline | 0.435305 |
| recent exposure | 0.332952 |
| fatality rate | 0.325894 |
| National Park Service | 0.478193 |
| Current Case Definitions | 0.401042 |
| potential rodent exposure | 0.427972 |
| infected rodents | 0.33863 |
| serum LDH | 0.334131 |
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Preventing Chronic Disease | Screening for Cardiovascular Risk in Asymptomatic Users of the Primary Health Care Network in Lebanon, 2012"2013 - CDC |
In 2012, the Ministry of Public Health in Lebanon piloted a service of multifactorial cardiovascular screening in the publicly subsidized Primary Health Care (PHC) Network. We present an epidemiological analysis of data produced during this pilot to justify the inclusion of this service in the package of essential services offered through PHC and to present a preliminary cardiovascular risk profile in an asymptomatic population. |
| high metabolic risk | 0.245396 |
| individual cardiovascular risk | 0.27055 |
| data | 0.226103 |
| pilot project | 0.415821 |
| cardiovascular risk factors | 0.746872 |
| cardiovascular risk profile | 0.369815 |
| systolic blood pressure | 0.289697 |
| comprehensive CVD screening | 0.23246 |
| CVD risk | 0.239337 |
| Random blood glucose | 0.228654 |
| TCVR score | 0.25836 |
| early detection | 0.230794 |
| beneficiaries | 0.294793 |
| cardiovascular events | 0.23991 |
| blood pressure | 0.299346 |
| World Health Organization | 0.300085 |
| cardiovascular risk charts | 0.287019 |
| single risk factor | 0.228407 |
| nonphysician health workers | 0.265389 |
| multifactorial cardiovascular screening | 0.272803 |
| modifiable cardiovascular risk | 0.377317 |
| age groups | 0.228868 |
| mm Hg | 0.228327 |
| CVD | 0.328054 |
| nonfatal cardiovascular event | 0.244576 |
|
| 10-year mean risk | 0.228297 |
| blood glucose level | 0.3851 |
| PHC centers | 0.329717 |
| cardiovascular risk-lowering management | 0.229964 |
| women | 0.311501 |
| blood glucose | 0.640767 |
| 10-year cardiovascular risk | 0.358467 |
| Public Health | 0.306004 |
| multiple cardiovascular risk | 0.262485 |
| health workers | 0.284618 |
| preliminary cardiovascular risk | 0.367809 |
| cardiovascular risk levels | 0.280096 |
| cardiovascular health | 0.249368 |
| screening protocol | 0.239336 |
| men | 0.269382 |
| cardiovascular risk | 0.91112 |
| modifiable risk factors | 0.236798 |
| measurable cardiovascular risk | 0.269443 |
| National Diabetes Program | 0.254439 |
| Lebanon | 0.27397 |
| WHO/ISH charts | 0.280698 |
| cardiovascular risk score | 0.374347 |
| Primary Health Care | 0.372541 |
| blood glucose metabolism | 0.378349 |
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Health Care Personnel and Flu Vaccination, Internet Panel Survey, United States, November 2014 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2014-15 flu seasons CDC |
| early season | 0.642272 |
| national flu vaccination | 0.352069 |
| early flu season | 0.313914 |
| vaccination campaigns | 0.257949 |
| influenza vaccination coverage | 0.357142 |
| season flu vaccination | 0.5596 |
| flu vaccine | 0.255148 |
| non-clinical support staff | 0.209219 |
| flu complications | 0.234039 |
| flu vaccination coverage | 0.903009 |
| percentage points | 0.311976 |
| HCP flu vaccination | 0.554401 |
| flu vaccines | 0.283019 |
| Influenza vaccination levels | 0.271819 |
| Internet panel survey | 0.342875 |
| U.S. HCP | 0.297036 |
| end-of-season flu vaccination | 0.350821 |
| work settings | 0.235716 |
| National Influenza Vaccination | 0.31217 |
| current flu season | 0.26674 |
| health care | 0.309069 |
|
| HCP whose employers | 0.324004 |
| early season online | 0.217806 |
| long-term care facilities | 0.365587 |
| early season coverage | 0.225295 |
| HCP groups | 0.314342 |
| influenza vaccination | 0.414787 |
| HCP influenza vaccine | 0.356092 |
| vaccination results | 0.234392 |
| vaccination history | 0.237709 |
| volunteer HCP | 0.292193 |
| HCP | 0.61831 |
| current vaccination efforts | 0.259862 |
| season online report | 0.207384 |
| Internet panel | 0.383725 |
| et al | 0.22635 |
| season HCP vaccination | 0.513489 |
| flu season | 0.432784 |
| acute care hospitals | 0.236282 |
| unvaccinated HCP | 0.356188 |
| Influenza vaccination performance | 0.275085 |
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Vaccines: Rubella |
Rubella vaccine info for parents, public, and healthcare professionals |
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Centers for Disease Control and Prevention |
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Raw Pet Food | CDC Features |
Pet owners have a variety of food choices to give their pets, even raw food. But some germs have been found in raw pet foods that can make pets and people sick, including Salmonella and Listeria monocytogenes. Learn how to protect your pet and yourself from disease. |
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Flexible Roles for American Indian Elders in Community-BasedParticipatory Research |
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. |
| American Indian community | 0.533045 |
| monthly elders | 0.52053 |
| regular CAB meetings | 0.477265 |
| project | 0.533842 |
| Ment Health Res | 0.468332 |
| research process | 0.496915 |
| american indian elders | 0.962406 |
| American Indian adolescents | 0.517709 |
| American Indian people | 0.485494 |
| academic partners | 0.482645 |
| life narratives | 0.5039 |
| elders members | 0.540384 |
| Indian Center staff | 0.464925 |
| community advisory board | 0.497383 |
| health promotion initiatives | 0.483506 |
| research project outline | 0.473221 |
| American Indian communities | 0.531042 |
| community health | 0.486995 |
| decision making | 0.462917 |
| American Indian worldview | 0.484882 |
| formal agreements | 0.54492 |
| conduct prevention research | 0.462723 |
| CAB meetings | 0.602896 |
| interview guide | 0.482703 |
|
| community health initiative | 0.467369 |
| community members | 0.48725 |
| CAB members | 0.562611 |
| quiet elders | 0.542756 |
| consensus panels | 0.724738 |
| American Indian worldviews | 0.48148 |
| Indian Center board | 0.47441 |
| community-based participatory research | 0.704274 |
| consensus panel participants | 0.470525 |
| public health | 0.565502 |
| outspoken elders | 0.519263 |
| health promotion curriculum | 0.492836 |
| community partners | 0.473686 |
| Native Ment Health | 0.468482 |
| Tucson Indian Center | 0.652601 |
| American Indian cultures | 0.510555 |
| American Indian Resilience | 0.519524 |
| urban american indian | 0.56563 |
| elder project engagement | 0.470415 |
| consensus panel | 0.563258 |
| community health priorities | 0.467539 |
| Enid Zuckerman College | 0.47741 |
| historical trauma | 0.485983 |
| research project | 0.474345 |
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