| 1024 |
Centers for Disease Control and Prevention |
Html |
en |
World Hepatitis Day | CDC Features |
Know Hepatitis. Act Now. For World Hepatitis Day, learn more about the different types of viral that impact millions worldwide, and what you can do. |
| high rates | 0.341755 |
| CDC | 0.385633 |
| injection drug | 0.376526 |
| hepatitis B virus | 0.602956 |
| infectious diseases | 0.344439 |
| chronic infections | 0.349018 |
| hepatitis B. | 0.564619 |
| sexual contact | 0.341797 |
| chronic liver disease | 0.39468 |
| hepatitis C. Viral | 0.672311 |
| World Health Organization | 0.384456 |
| infection prevent | 0.356894 |
| disease burden | 0.350382 |
| liver cirrhosis | 0.348964 |
| different types | 0.345993 |
| infected mother | 0.366892 |
| hepatitis B infection | 0.598378 |
| chronic infection | 0.41341 |
| World Hepatitis | 0.654402 |
| new hepatitis | 0.562378 |
| United States | 0.484374 |
| public health threat | 0.367653 |
| global burden | 0.352422 |
| unsafe medical injections | 0.370246 |
|
| immunization programs | 0.341968 |
| technical assistance | 0.342146 |
| hepatitis viruses | 0.576342 |
| infant vaccination programs | 0.369296 |
| CDC recommendations | 0.352711 |
| hepatitis B control | 0.581293 |
| viral hepatitis surveillance | 0.642675 |
| viral hepatitis | 0.862665 |
| control viral hepatitis | 0.645774 |
| Hepatitis Risk Assessment | 0.584859 |
| hepatitis B vaccine | 0.633128 |
| infected blood | 0.364353 |
| viral hepatitis types | 0.637048 |
| hepatitis | 0.996934 |
| people | 0.378022 |
| infected person | 0.399862 |
| food safety | 0.376399 |
| chronic hepatitis | 0.626821 |
| vaccine coverage | 0.347128 |
| close personal contact | 0.374293 |
| hepatitis E. | 0.558712 |
| chronic illness | 0.348311 |
| different health outcomes | 0.3734 |
| liver cancer | 0.369732 |
|
CLICK HERE |
| 1184 |
Centers for Disease Control and Prevention |
Html |
en |
New CDC Data on Foodborne Disease Outbreaks | CDC Features |
Outbreaks provide important insights into how germs spread, which food and germ combinations cause illnesses, and how to prevent infections. Public health and industry use outbreak data to create information on prevention, education, and policy. |
| industry use outbreak | 0.26653 |
| appropriate control measures | 0.274278 |
| outbreak reports | 0.264933 |
| Outbreak-associated hospitalizations | 0.248076 |
| sit-down dining style | 0.291517 |
| Search CDC | 0.222802 |
| germ combinations | 0.226375 |
| common single food | 0.29574 |
| expert tips | 0.200982 |
| Foodborne Outbreak Online | 0.347553 |
| tribal health departments | 0.267481 |
| human impact | 0.210546 |
|
| state health departments | 0.305579 |
| Public health | 0.214035 |
| food poisoning | 0.310588 |
| interactive e-Learning course | 0.27722 |
| banquet facilities | 0.201228 |
| foodborne disease outbreaks | 0.908224 |
| unpasteurized dairy products | 0.31234 |
| long history | 0.219174 |
| outbreak data | 0.464254 |
| single known food | 0.294974 |
| single food category | 0.282007 |
| important insights | 0.21863 |
|
CLICK HERE |
| 4747 |
Centers for Disease Control and Prevention |
Html |
en |
Adult Obesity - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| physical education | 0.431763 |
| obesity rates | 0.582765 |
| Mortality Weekly Report | 0.416184 |
| huge financial burden | 0.433102 |
| Lady Michelle Obama | 0.41943 |
| sugary drink | 0.329369 |
| peer-to- peer support | 0.4129 |
| active living | 0.341623 |
| support programs | 0.394982 |
| excess body fat | 0.446032 |
| new federal initiatives | 0.453957 |
| national epidemic | 0.382693 |
| obesity | 0.908942 |
| Obese persons | 0.413571 |
| medical care costs | 0.457033 |
| body mass index | 0.44236 |
| healthy eating | 0.344883 |
| community changes | 0.326717 |
| public transportation | 0.442138 |
| health problems | 0.331339 |
| daily physical education | 0.430866 |
| higher medical costs | 0.433995 |
| new CDC program | 0.418426 |
| breathing problems | 0.327386 |
|
| healthy foods | 0.435455 |
| epidemic happening | 0.383095 |
| United States | 0.449874 |
| lower-income neighborhoods | 0.328775 |
| control obesity | 0.575967 |
| heart disease | 0.331795 |
| affordable food | 0.324304 |
| 50 states | 0.328017 |
| U.S. Obesity | 0.611047 |
| Support hospital programs | 0.428341 |
| lower quality | 0.327588 |
| medical care | 0.564541 |
| highest rates | 0.325683 |
| 10-minute brisk walk | 0.412598 |
| physical activity | 0.553133 |
| obesity epidemic | 0.776721 |
| little physical activity | 0.443547 |
| local fruits | 0.430694 |
| childhood obesity | 0.693471 |
| quality physical education | 0.416287 |
| Non-Hispanic black women | 0.447254 |
| costly medical care | 0.444643 |
| Obesity Task Force | 0.676283 |
| obese varies | 0.403294 |
|
CLICK HERE |
| 7664 |
Centers for Disease Control and Prevention |
Html |
en |
Biography of David J. Sencer |
David J. Sencer CDC Museum |
| honorary member | 0.375509 |
| CDC | 0.553984 |
| Assistant Director | 0.35674 |
| disaster relief | 0.3501 |
| MPH | 0.278782 |
| David Sencer | 0.614306 |
| CDC leaders | 0.514671 |
| Harvard University | 0.358576 |
| New York City | 0.473631 |
| Disease Control | 0.369816 |
| Senior Vice President | 0.469419 |
| ardent believer | 0.380874 |
| MD | 0.250712 |
| Becton Dickenson | 0.380099 |
| Epidemic Intelligence Service | 0.488547 |
| CDC′s history | 0.380876 |
| hands-on leadership | 0.360642 |
| strong supporter | 0.348146 |
| reproductive health | 0.417005 |
| core career series | 0.478282 |
| Georgia health departments | 0.542773 |
| CDC Museum | 0.506388 |
| Joseph Mountin | 0.401548 |
| David J. Sencer | 0.715495 |
| Ann Arbor | 0.354094 |
|
| Scientific Affairs | 0.349555 |
| internal medicine | 0.358199 |
| far-reaching vision | 0.381249 |
| domestic programs | 0.363092 |
| Emory′s Rollins School | 0.472493 |
| international health activities | 0.524703 |
| worldwide eradication | 0.366839 |
| malaria control | 0.36453 |
| University Hospital | 0.363282 |
| newly-named Center | 0.35515 |
| Global Health Chronicles | 0.527357 |
| CDC history | 0.550079 |
| local health departments | 0.536883 |
| public health | 0.959325 |
| disease – smallpox | 0.401436 |
| Communicable Disease Center | 0.50721 |
| honorary public health | 0.578326 |
| Dr. Sencer | 0.789292 |
| Global Health Institute | 0.523748 |
| Public Health Service | 0.57655 |
| Woodruff Library | 0.351249 |
| vibrant public health | 0.589549 |
| Guinea worm disease | 0.468899 |
| longest serving director | 0.510892 |
|
CLICK HERE |
| 8808 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Treatment - Info for Health Professionals |
Information for health professionals about Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| Trop Med Hyg. | 0.275422 |
| Lores-Villa F. Successful | 0.331609 |
| Antimicrob Agents Chemother. | 0.450101 |
| Immunol Med Microbiol. | 0.337466 |
| free-living ameba infections | 0.300504 |
| primary amebic meningoencephalitis. | 0.329289 |
| Kaminsky R. Miltefosine | 0.27445 |
| Engl J Med | 0.287738 |
| CDC Emergency Operations | 0.398559 |
| Clin Infect Dis | 0.336231 |
| standard miltefosine dosing | 0.28084 |
| therapeutic agent miltefosine | 0.331823 |
| following treatment courses | 0.288431 |
| mouse model | 0.403419 |
| F. Successful treatment | 0.341598 |
| Naegleria fowleri infection | 0.509652 |
| Acanthamoeba sp. infection | 0.295301 |
| Emergency Operations Center | 0.395701 |
| mg cap po | 0.314273 |
| N. Successful treatment | 0.283172 |
| liposomal amb | 0.321143 |
| kg body weight | 0.314303 |
| E. Successful treatment | 0.279601 |
| Visvesvara GS | 0.530374 |
|
| opportunistic free-living amoebae | 0.353391 |
| FEMS Immunol Med | 0.341356 |
| Goswick SM | 0.273604 |
| Turner J. Successful | 0.334009 |
| Brenner GM | 0.296615 |
| Acanthamoeba spp. | 0.322566 |
| AMB methyl ester | 0.300807 |
| primary amebic meningoencephalitis | 0.910183 |
| novel therapeutic agent | 0.323124 |
| CDC expert | 0.279164 |
| Naegleria fowleri strain | 0.398616 |
| Jonckheere JF | 0.272896 |
| Naegleria fowleri | 0.808197 |
| Schuster FL | 0.3085 |
| Arch Med Res. | 0.337814 |
| Acanthamoeba infection | 0.272828 |
| Naegleria PAM | 0.35533 |
| Balamuthia infection | 0.27617 |
| Successful treatment | 0.444361 |
| Balamuthia mandrillaris | 0.306217 |
| New Engl | 0.276668 |
| amebic infection | 0.298871 |
| J. Successful treatment | 0.411166 |
| Green J. Successful | 0.276427 |
|
CLICK HERE |
| 8852 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Plasma Vitamin D and Biomarkers of Cardiometabolic Disease Risk in Adult Canadians, 2007"2009 - CDC |
Vitamin D may modulate cardiometabolic disease risk, although the relationship has not been investigated in the general Canadian population. Understanding this relationship may inform public health strategies to curb the incidence of cardiometabolic disease in Canada and elsewhere. |
| vitamin D-insufficient individuals | 0.474637 |
| cardiometabolic biomarkers | 0.555223 |
| Health Measures Survey | 0.474445 |
| Public Health Agency | 0.520059 |
| total cholesterol | 0.800183 |
| cardiometabolic risk biomarkers | 0.525094 |
| cardiometabolic risk factors | 0.472944 |
| inverse associations | 0.454567 |
| month-to-month fluctuations | 0.447785 |
| adequate vitamin D. | 0.457543 |
| vitamin D insufficiency | 0.471508 |
| sample size | 0.479976 |
| cardiometabolic risk | 0.536332 |
| Introduction
Vitamin | 0.449591 |
| waist circumference | 0.52527 |
| biomarkers | 0.608672 |
| modulates cardiometabolic disease | 0.443946 |
| vitamin D-deficient individuals | 0.45418 |
| vitamin | 0.561881 |
| vitamin D levels | 0.554971 |
| Canadian Health Measures | 0.484686 |
| metabolic syndrome | 0.468162 |
| Canada | 0.43273 |
| general Canadian population | 0.695741 |
| Health Canada Research | 0.424018 |
|
| cardiometabolic disease | 0.97295 |
| public health strategies | 0.538352 |
| elevated cardiometabolic disease | 0.451727 |
| cardiometabolic disease prevention | 0.430246 |
| individual biomarkers | 0.450069 |
| women | 0.515686 |
| cardiometabolic disease biomarkers | 0.48243 |
| low-density lipoprotein cholesterol | 0.502375 |
| lipid metabolism | 0.438448 |
| mean levels | 0.445027 |
| novel biomarkers | 0.538847 |
| traditional cardiometabolic risk | 0.425682 |
| public health implications | 0.5389 |
| men | 0.52511 |
| glycemic control biomarkers | 0.444975 |
| small sample size | 0.444315 |
| insulin resistance | 0.612029 |
| public health | 0.693848 |
| Diabetes Metab Syndr | 0.430922 |
| Plasma vitamin | 0.429093 |
| vitamin D3 deficiency | 0.448041 |
| cardiometabolic disease risk | 0.608662 |
| vitamin D status | 0.504279 |
| physical activity | 0.509127 |
|
CLICK HERE |
| 10268 |
Centers for Disease Control and Prevention |
Html |
en |
Lightning Strike Victim Data | Lightning |
CDC provides lightning strikes victim data, the odds of getting struck are low but some factors can put you at greater risk including regional, seasonal, and occupational differences. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
|
CLICK HERE |
| 13727 |
Centers for Disease Control and Prevention |
Html |
en |
The Built Environment Assessment Tool Manual | Division of Community Health (DCH) | CDC |
The built environment includes the physical makeup of where we live, learn, work, and play—our homes, schools, businesses, streets and sidewalks, open spaces, and transportation options. |
| transportation options | 0.566143 |
| streets | 0.348495 |
| pedestrian environment | 0.558641 |
| data collectors | 0.516538 |
| evaluators | 0.361946 |
| questions | 0.338993 |
| Tool Manual | 0.532892 |
| Users | 0.339033 |
| Walkability—for example | 0.529066 |
| traffic control | 0.536112 |
| outcomes | 0.346086 |
| health behaviors | 0.559809 |
| businesses | 0.346996 |
| environment infrastructure—such | 0.565879 |
| nutrition environment | 0.553474 |
| core features | 0.542449 |
| road types | 0.530768 |
| attractive sidewalks | 0.565794 |
| individual behaviors | 0.570895 |
| work | 0.347119 |
| play—our homes | 0.574773 |
| healthy eating | 0.546335 |
| open spaces | 0.57077 |
| grocery stores | 0.526669 |
| intersections | 0.351621 |
|
| tool | 0.595578 |
| Appendix | 0.403025 |
| sections | 0.339228 |
| public transportation | 0.529502 |
| schools | 0.347027 |
| paths | 0.340086 |
| physical makeup | 0.567358 |
| curb cuts | 0.550654 |
| access | 0.38071 |
| convenience stores | 0.527092 |
| importance | 0.343402 |
| overall community health | 0.753323 |
| farmers markets | 0.527757 |
| tools | 0.342615 |
| ramps | 0.346766 |
| aspect | 0.339074 |
| street segments | 0.523973 |
| Food environment—such | 0.5308 |
| Built Environment Assessment | 0.798686 |
| wide array | 0.545065 |
| crosswalks | 0.340477 |
| physical activity | 0.768397 |
| Community program staff | 0.758734 |
| environment | 0.914382 |
|
CLICK HERE |
| 14423 |
Centers for Disease Control and Prevention |
Html |
en |
Birth Cohort Testing for Hepatitis C Virus - Indian HealthService 2012-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| federally operated IHS | 0.438913 |
| HCV infections | 0.545345 |
| Area Indian Health | 0.390269 |
| highest testing rates | 0.378117 |
| HCV seroprevalence | 0.491429 |
| IHS expansion | 0.398651 |
| primary care providers | 0.391223 |
| HCV medications | 0.491958 |
| HCV viremia | 0.497912 |
| birth cohort testing | 0.426345 |
| new HCV drugs | 0.512332 |
| IHS birth cohort | 0.47505 |
| IHS patients | 0.397353 |
| HCV clinical decision | 0.537315 |
| individual IHS facilities | 0.462952 |
| health care services | 0.378508 |
| IHS health station | 0.429427 |
| federally operated facilities | 0.379697 |
| HCV purpose | 0.483214 |
| persons | 0.388295 |
| health care facilities | 0.429793 |
| Native birth cohort | 0.414383 |
| birth cohort patients | 0.400817 |
| HCV treatment | 0.492126 |
| safe HCV therapies | 0.512504 |
|
| HCV medication | 0.491375 |
| health care utilization | 0.378197 |
| one-time HCV testing | 0.63527 |
| HCV infection | 0.904078 |
| United States | 0.406797 |
| IHS facilities | 0.667788 |
| total health care | 0.383603 |
| HCV testing | 0.998089 |
| Follow-up HCV care | 0.531272 |
| IHS electronic systems | 0.419199 |
| acute HCV incidence | 0.534788 |
| clinical decision tool | 0.398771 |
| tribal IHS facilities | 0.444432 |
| HCV antibody test | 0.541331 |
| health care | 0.441823 |
| clinical decision tools | 0.409521 |
| Indian Health Service | 0.492911 |
| current HCV infection | 0.553182 |
| average testing coverage | 0.415052 |
| Curative HCV therapies | 0.555347 |
| birth cohort | 0.828073 |
| HCV testing coverage | 0.631022 |
| American Indian/Alaska Native | 0.453838 |
| provider training | 0.382338 |
|
CLICK HERE |
| 15393 |
Centers for Disease Control and Prevention |
Html |
en |
An Assessment of Nutrition Practices and Attitudes in FamilyChild-Care Homes: Implications for Policy Implementation |
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. |
| child-care providers | 0.602288 |
| nutrition environments | 0.353799 |
| Island FCCH providers | 0.459667 |
| child-care policies | 0.347489 |
| child-care settings | 0.402103 |
| early childhood obesity | 0.370633 |
| children | 0.657314 |
| training non-Hispanic providers | 0.402203 |
| child-care centers | 0.490281 |
| obesity prevention | 0.487085 |
| childhood obesity prevention | 0.375114 |
| family child care | 0.380434 |
| child-care practices | 0.361779 |
| body mass index | 0.386494 |
| FCCHs | 0.361856 |
| non-Hispanic providers | 0.62506 |
| multi-ethnic child-care providers | 0.409153 |
| FCCH providers | 0.787504 |
| nutrition | 0.480746 |
| child-care home provider | 0.398124 |
| Family child-care homes | 0.396036 |
| healthy child-care environments | 0.411436 |
| child-care stakeholders | 0.344016 |
| Hispanic FCCH providers | 0.383339 |
|
| provider ethnicity | 0.461793 |
| California Child-Care Food | 0.391827 |
| nutrition training | 0.436971 |
| Rhode Island FCCHs | 0.359404 |
| child care | 0.640837 |
| Rhode Island FCCH | 0.47892 |
| feeding practices | 0.375955 |
| child care providers | 0.462179 |
| enrolled children | 0.343916 |
| Island child-care provider | 0.424746 |
| Rhode Island Department | 0.402333 |
| child-care setting | 0.418457 |
| Care Food Program | 0.3684 |
| Hispanic providers | 0.525139 |
| Rhode Island | 0.909371 |
| free-standing child-care centers | 0.382512 |
| nutrition practices | 0.374223 |
| practices | 0.412394 |
| physical activity | 0.416536 |
| family child-care home | 0.397568 |
| childhood obesity | 0.488035 |
| child-care environments | 0.411612 |
| care providers survey | 0.346772 |
| socioeconomic status | 0.396789 |
|
CLICK HERE |