| 4794 |
Centers for Disease Control and Prevention |
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2010 Haiti Cholera Outbreak - Frequently Asked Questions |
CDC - Global Health |
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CLICK HERE |
| 5742 |
Centers for Disease Control and Prevention |
Html |
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Copper fume (as Cu) - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6304 |
Centers for Disease Control and Prevention |
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"Please tell me, is it safe to go home?" After 9/11, science offers comfort |
Please tell me, is it safe to go home? After 9/11, science offers comfort; Rear Admiral Sven Rodenbeck, Sc.D. recalls his involvement in the aftrmath of the attacks on the world trade center. |
| natural fit | 0.479344 |
| big concern | 0.477736 |
| immediate concerns | 0.483189 |
| environmental health | 0.541737 |
| World Trade Center | 0.563778 |
| empathetic ear | 0.483387 |
| fine coat | 0.486073 |
| common light microscope | 0.569216 |
| emotional level | 0.47528 |
| exceptional bridge | 0.480142 |
| Long Island | 0.56795 |
| light microscope | 0.571178 |
| 9/11 | 0.445157 |
| analysis | 0.439845 |
| transmission electron microscope | 0.581779 |
| HEPA vacuum | 0.472827 |
| wet mop methods | 0.529309 |
| kitchen table | 0.643256 |
| community leader | 0.485061 |
| residents | 0.453125 |
| public health assessments | 0.547968 |
| Admiral Sven Rodenbeck | 0.571239 |
| Technical answers | 0.476287 |
| apartments | 0.469735 |
| indoor living conditions | 0.550816 |
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| fiberglass fibers | 0.536459 |
| asbestos | 0.528118 |
| 59th street | 0.476226 |
| asbestos fibers | 0.504192 |
| condominiums | 0.431339 |
| Lower Manhattan | 0.82109 |
| frequent cleaning | 0.469689 |
| hearing community concerns | 0.560738 |
| analytic mind | 0.479689 |
| residential buildings | 0.474892 |
| huge consideration | 0.469492 |
| York City Health | 0.551783 |
| environmental samples | 0.52771 |
| nation–our security | 0.483413 |
| science degree | 0.472928 |
| question | 0.442735 |
| twin towers | 0.483087 |
| potential cancer risk | 0.5467 |
| health concerns | 0.483211 |
| electron microscope procedures | 0.932877 |
| outdoor sampling | 0.480024 |
| people | 0.445544 |
| Wall Street | 0.481885 |
| Disease Registry | 0.482091 |
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| 8776 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Recruiting Women for a Study on Perceived Risk of Cancer: Influence of Survey Topic Salience and Early Versus Late Response - CDC |
Understanding the characteristics of early and late survey responders has implications for recruitment efforts and for informing potential response bias. The main objective of this analysis was to examine survey responder status (ie, early vs late response) by sociodemographic characteristics and by salience of study variables among respondents. |
| responder status | 0.83288 |
| average risk | 0.521671 |
| baseline early responders | 0.580608 |
| baseline survey wave | 0.521051 |
| survey responder status | 0.617945 |
| objective risk | 0.524358 |
| family cancer history | 0.516162 |
| late responders | 0.988461 |
| early responders | 0.751678 |
| Henry Ford Health | 0.507322 |
| baseline survey participation | 0.527499 |
| baseline responder status | 0.569314 |
| follow-up survey responder | 0.536602 |
| late responder status | 0.519995 |
| ovarian cancer | 0.836871 |
| response rate | 0.543898 |
| baseline survey response | 0.537962 |
| follow-up survey | 0.803151 |
| follow-up surveys | 0.630977 |
| baseline interview | 0.504709 |
| baseline survey responder | 0.577549 |
| follow-up survey refusal | 0.515641 |
| late survey responders | 0.587338 |
| follow-up survey reminder | 0.519759 |
| sociodemographic characteristics | 0.542547 |
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| survey wave administration | 0.511805 |
| women | 0.594886 |
| study | 0.511972 |
| follow-up survey wave | 0.50986 |
| Baseline survey administration | 0.537335 |
| Follow-up survey interviews | 0.527262 |
| genetic counseling | 0.676044 |
| personal history | 0.584713 |
| baseline survey responders | 0.602586 |
| baseline survey interviews | 0.541104 |
| ovarian cancer history | 0.50718 |
| ovarian cancer risk | 0.539925 |
| baseline interview participation | 0.50115 |
| follow-up survey interview | 0.52274 |
| potential response bias | 0.519112 |
| breast cancer | 0.645411 |
| baseline survey | 0.776836 |
| genetic counseling referral | 0.499824 |
| follow-up survey analysis | 0.520198 |
| 12-month follow-up surveys | 0.502675 |
| family history | 0.550761 |
| response | 0.550218 |
| risk | 0.558037 |
| baseline survey respondents | 0.557118 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Evaluating Public Health Resources: What Happens When Funding Disappears? - CDC |
Although various factors affect the sustainability of public health programs, funding levels can influence many aspects of program continuity. |
| fewer program activities | 0.513087 |
| obesity prevention programs | 0.499054 |
| obesity program development | 0.491473 |
| government public health | 0.487428 |
| NPAO grant program | 0.501652 |
| funding sources | 0.508881 |
| Disease Control | 0.489841 |
| funding levels | 0.533166 |
| state health departments | 0.776399 |
| obesity prevention | 0.645399 |
| public health systems | 0.487122 |
| additional funding | 0.518044 |
| obesity prevention partnerships | 0.493785 |
| funding stream | 0.488386 |
| state plan | 0.562516 |
| Public Health Resources | 0.501973 |
| CDC NPAO grant | 0.572173 |
| obesity prevention initiatives | 0.518648 |
| funding changes | 0.501237 |
| long-term program success | 0.504165 |
| public health finance | 0.487119 |
| chronic disease | 0.494241 |
| Ariela M. Freedman | 0.501697 |
| public health infrastructure | 0.487075 |
| state-identified high-priority work | 0.497955 |
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| state program funding | 0.54155 |
| new funding requirements | 0.569399 |
| public health funding | 0.63104 |
| funding discontinuation | 0.504068 |
| states | 0.695441 |
| major public health | 0.486624 |
| state programs | 0.507932 |
| CDC funding | 0.508961 |
| state health department | 0.52031 |
| technical assistance | 0.513937 |
| public health work | 0.494243 |
| funding support | 0.490868 |
| public health | 0.919877 |
| key informant interviews | 0.503509 |
| funding | 0.789254 |
| best practice strategies | 0.495397 |
| public health programs | 0.6109 |
| funding delays | 0.489124 |
| competitive funding | 0.49834 |
| physical activity | 0.649632 |
| individual public health | 0.487393 |
| health funding decisions | 0.598007 |
| funding source | 0.502623 |
| public health action | 0.486519 |
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Centers for Disease Control and Prevention |
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The Burden of COPD | CDC Features |
Managing COPD ... It is possible! |
| participation | 0.325704 |
| Fighting | 0.328676 |
| Centers | 0.326833 |
| COPD patients | 0.644195 |
| death | 0.327283 |
| activity | 0.326523 |
| United States | 0.596374 |
| adults | 0.325272 |
| cause | 0.326291 |
| Chronic lower respiratory | 0.629933 |
| breath | 0.336713 |
| Prevention | 0.326763 |
| current smokers | 0.468749 |
| number | 0.32665 |
| Disease Control | 0.456362 |
| KB | 0.335662 |
| Dependence | 0.333197 |
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| cessation support | 0.454215 |
| health care providers | 0.806746 |
| Obstructive Pulmonary Disease | 0.957078 |
| outcome | 0.335509 |
| struggle | 0.333376 |
| addition | 0.324943 |
| age-standardized prevalence | 0.461115 |
| people | 0.326622 |
| Chronic Obstructive Pulmonary | 0.996185 |
| Surveillance | 0.325247 |
| pulmonary rehabilitation program | 0.63117 |
| patient education | 0.446976 |
| exercise training | 0.447451 |
| new report | 0.459997 |
| information | 0.324302 |
| Behavioral Risk Factor | 0.578604 |
| Map | 0.32545 |
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Centers for Disease Control and Prevention |
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Bicyclist Deaths Associated with Motor Vehicle Traffic -United States, 1975-2012 |
Jason Vargo, PhD1; Benjamin G. Gerhardstein, MPH2; Geoffrey P. Whitfield, PhD3; Arthur Wendel, MD3. |
| age-adjusted cyclist mortality | 0.562894 |
| cyclist deaths | 0.48624 |
| cyclist mortality | 0.972461 |
| 38-year study period | 0.495257 |
| bicycle road safety | 0.378265 |
| children | 0.389161 |
| Fatality Analysis Reporting | 0.374595 |
| age-specific cyclist mortality | 0.585223 |
| FARS fatalities | 0.39251 |
| FARS | 0.42079 |
| Benjamin G. Gerhardstein | 0.371149 |
| motor vehicle–related deaths | 0.381795 |
| 48 states | 0.371261 |
| Geoffrey P. Whitfield | 0.370983 |
| program.* Age-adjusted mortality | 0.461902 |
| bicycle trips | 0.377786 |
| FARS variables | 0.370917 |
| age-adjusted mortality rates | 0.527013 |
| study period | 0.606808 |
| age groups | 0.429718 |
| lower mortality rates | 0.456284 |
| adult cyclist deaths | 0.450561 |
| overall mortality rate | 0.488237 |
| entire study period | 0.381233 |
| unit time bicycling | 0.375295 |
|
| bicyclist deaths | 0.387979 |
| national collision data | 0.379456 |
| Annual cyclist fatalities | 0.456537 |
| United States | 0.499793 |
| total bicycle deaths | 0.39318 |
| 100,000 | 0.374192 |
| motor vehicle | 0.399672 |
| recent cyclist mortality | 0.497082 |
| cyclist mortality trends | 0.549878 |
| Traffic Safety Administration | 0.377902 |
| cyclist mortality rates | 0.743306 |
| state mortality rates | 0.456547 |
| cyclist mortality rate | 0.568909 |
| Jason Vargo | 0.37166 |
| FARS database | 0.373451 |
| cyclist fatalities | 0.483626 |
| fatal traffic crashes | 0.368592 |
| physical activity | 0.397028 |
| multiple health benefits | 0.376482 |
| child bicyclist mortality | 0.46466 |
| age-adjusted mortality rate | 0.468584 |
| newer FARS data | 0.394276 |
| bicycling fatalities | 0.378414 |
| child bicycle trips | 0.375559 |
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Centers for Disease Control and Prevention |
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Progress Toward Poliomyelitis Eradication - Nigeria, January2014-July 2015 |
Andrew Etsano, DLSHTM1; Rajni Gunnala, MD2; Faisal Shuaib, DrPH3; Eunice Damisa, MPH1; Pascal Mkanda, MBBS4; Johnson M. Ticha, MPH4; Richard Banda, MBChB4; Charles Korir, MA4; Ana Elena Chevez, MD4; Ogu Enemaku, PhD5; Melissa Corkum, MICD5; Lora B. Davis, DVM2; Gatei-wa Nganda2; Cara C. |
| environmental surveillance | 0.670376 |
| Polio program legacy | 0.692456 |
| NPAFP rate | 0.64617 |
| Nigeria National Stop | 0.695394 |
| national polio eradication | 0.852664 |
| AFP cases | 0.70399 |
| SIAs | 0.644583 |
| polio eradication activities | 0.749906 |
| high-risk states | 0.748546 |
| Genomic sequence analysis | 0.684772 |
| polio high-risk LGAs | 0.703309 |
| Polio surveillance | 0.688637 |
| routine immunization | 0.732386 |
| polio emergency operations | 0.685049 |
| cVDPV2 cases | 0.639973 |
| WPV1 cases | 0.705772 |
| supplemental immunization activities | 0.63075 |
| World Health Organization | 0.634312 |
| emergency polio eradication | 0.705239 |
| AFP surveillance quality | 0.665468 |
| adequate stool specimens | 0.702839 |
| AFP surveillance | 0.766445 |
| cVDPV polio cases | 0.720682 |
| polio survivors | 0.653586 |
| polio program | 0.722591 |
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| polio eradication | 0.925772 |
| northern Nigeria | 0.712256 |
| polio vaccine | 0.656997 |
| observed polio vaccination | 0.720353 |
| polio high-risk states | 0.739977 |
| Nigeria Field Epidemiology | 0.67973 |
| northeastern Nigeria | 0.630559 |
| surveillance performance indicators | 0.707104 |
| polio eradication program | 0.74739 |
| polio infrastructure | 0.633163 |
| Nigeria | 0.853327 |
| Federal Capital Territory | 0.807084 |
| permanent health teams | 0.703225 |
| active WPV transmission | 0.628957 |
| polio eradication emergency | 0.751762 |
| Nigeria Office | 0.662898 |
| national polio program | 0.705612 |
| national SIAs | 0.635928 |
| global poliomyelitis eradication | 0.64731 |
| polio eradication infrastructure | 0.700552 |
| polio risk profiles | 0.709109 |
| routine immunization program | 0.655173 |
| VP1 nucleotide difference | 0.708167 |
| polio assets | 0.639152 |
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Centers for Disease Control and Prevention |
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Links to Other Websites | Autism Spectrum Disorder (ASD) | NCBDDD |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| Health Services Administration | 0.363131 |
| mental health | 0.511486 |
| Autism Source | 0.477483 |
| Human Services | 0.410762 |
| National Dissemination Center | 0.385568 |
| national autism resource | 0.602778 |
| Health Insurance Program | 0.379756 |
| Interagency Autism Coordinating | 0.474446 |
| children | 0.44938 |
| National Mental Health | 0.432298 |
| young children | 0.404584 |
| autism spectrum disorders | 0.950951 |
| Mental Health Information | 0.41959 |
| autism spectrum disorder | 0.664866 |
| health care providers | 0.373778 |
| National Institutes | 0.456183 |
| developmental disabilities | 0.57264 |
| National Center | 0.502885 |
| mental health services | 0.467009 |
| Autism resource list | 0.451555 |
| health care services | 0.361478 |
| autism community | 0.463597 |
| Journey Through Autism | 0.457729 |
| Health Information Center | 0.430232 |
| autism diagnosis | 0.460306 |
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| Health Autism Coordinating | 0.491657 |
| autism research activities | 0.465558 |
| Autism Society | 0.487517 |
| low-cost health insurance | 0.372817 |
| special health care | 0.349163 |
| autism research | 0.666775 |
| Autism Genetics Initiative | 0.449826 |
| Autism Genetic Resource | 0.462149 |
| Health Services Locator | 0.40076 |
| autism genetics | 0.459521 |
| Autism Coordinating Committee | 0.508426 |
| Autism Centers | 0.41537 |
| Autism Speaks | 0.495882 |
| mental health professionals | 0.348644 |
| special education | 0.407137 |
| health care | 0.475594 |
| Autism Speaks Transition | 0.429806 |
| national autism organizations | 0.516786 |
| Autism services | 0.427532 |
| health | 0.544467 |
| loan repayment programs | 0.349941 |
| Operation Autism | 0.459273 |
| National Autism Center | 0.579524 |
| National Association | 0.351881 |
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Centers for Disease Control and Prevention |
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Influences and Practices in Colorectal Cancer ScreeningAmong Health Care Providers Serving Northern Plains AmericanIndians, 2011-2012 |
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. |
| CRC screening recommendations | 0.651546 |
| national CRC screening | 0.463969 |
| various screening guidelines | 0.357363 |
| evidence-based screening practices | 0.361265 |
| American Cancer Society | 0.350633 |
| American Indian Colorectal | 0.344543 |
| formal update | 0.306716 |
| Ann Intern Med | 0.359719 |
| screening colonoscopies | 0.328112 |
| colorectal cancer screening | 0.850079 |
| health care providers | 0.553744 |
| Preventive Services Task | 0.31566 |
| up-to-date provider screening | 0.355426 |
| colorectal cancer | 0.998669 |
| CRC screening | 0.972713 |
| CRC screening decisions | 0.475071 |
| Northern Plains | 0.497861 |
| CRC incidence | 0.343873 |
| Plains American Indian | 0.323789 |
| particular CRC screening | 0.482596 |
| primary care physicians | 0.312425 |
| American Indians | 0.58103 |
| fecal occult blood | 0.467249 |
| indian health | 0.412123 |
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| provider screening recommendations | 0.4427 |
| recommended CRC screening | 0.527819 |
| CRC screening options | 0.475943 |
| guideline-based screening practices | 0.377993 |
| Cancer Screening Recommendations | 0.424472 |
| Northern Plains American | 0.386368 |
| following screening tests | 0.363636 |
| CRC screening practices | 0.488796 |
| CRC screening test | 0.584611 |
| Indian Colorectal Cancer | 0.356738 |
| appropriate screening | 0.318377 |
| provider screening practices | 0.396519 |
| current CRC screening | 0.548379 |
| Lung Cancer Screening | 0.408944 |
| recommended screening practices | 0.370259 |
| CRC prevention | 0.326473 |
| self-administered provider assessment | 0.32913 |
| American Indian health | 0.357448 |
| Services Task Force | 0.41163 |
| Indian Health Service | 0.407324 |
| Cancer Screening study | 0.457685 |
| new screening options | 0.34593 |
| DRE screening | 0.35802 |
| screening rates | 0.321183 |
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