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Science Clips - Monday, January 03, 2011 |
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| Sex Transm Dis. | 0.882085 |
| real-time polymerase chain | 0.7591 |
| vector control programs | 0.765929 |
| Pediatr Infect Dis | 0.766296 |
| CDC Science Clips | 0.921031 |
| disease risk marker | 0.761933 |
| Pediatr Infect Dis. | 0.782986 |
| Appl Environ Microbiol. | 0.778733 |
| Chief Science Officer | 0.778288 |
| Clin Virol. | 0.759065 |
| end-stage renal disease | 0.761643 |
| Clin Infect Dis. | 0.796293 |
| Prim Care Diabetes. | 0.771201 |
| Infect Dis. | 0.809546 |
| Clin Chim Acta. | 0.788779 |
| Haemophilus influenzae serotype | 0.763714 |
| Stephen B. Thacker | 0.831148 |
| Environ Sci Technol. | 0.770631 |
| HIV-uninfected pregnant women | 0.769833 |
| Int J Epidemiol. | 0.768387 |
| civil society organizations | 0.766171 |
| genetics population structure | 0.76145 |
| insecticide-treated bed nets | 0.763668 |
| HCV-specific human CTLs | 0.760225 |
| United States | 0.761428 |
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| age-related eye diseases | 0.771898 |
| Gubareva LV | 0.770792 |
| serum bactericidal antibody | 0.760431 |
| Featured Topic Areas | 0.767752 |
| Bulkow LR | 0.767383 |
| Occup Environ Med. | 0.766692 |
| H1N1pdm influenza infection | 0.765979 |
| public health | 0.787612 |
| McMahon BJ | 0.76631 |
| Dec | 0.961509 |
| rapid HIV test | 0.762999 |
| pre-weaned dairy cattle | 0.761882 |
| Mac Kenzie WR | 0.761072 |
| public health literature | 0.769051 |
| B. Thacker CDC | 0.859461 |
| ischaemic heart disease | 0.764443 |
| high school students | 0.762589 |
| Plasmodium falciparum parasites | 0.763068 |
| Qual Life Res. | 0.773515 |
| Clin Microbiol. | 0.767163 |
| Clin Vaccine Immunol. | 0.828969 |
| specific antigenic profiles | 0.761585 |
| Lett Appl Microbiol. | 0.77338 |
| Thacker CDC Library | 0.859451 |
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Ethical family interventions for childhood obesity. |
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| health experts | 0.483687 |
| Acad Child Adolesc | 0.487682 |
| Family-based models | 0.472074 |
| limited financial resources | 0.467928 |
| family-based interventions | 0.809129 |
| Wood Johnson Foundation | 0.518779 |
| high crime rates | 0.468324 |
| obesogenic food environment | 0.546429 |
| childhood obesity interventions | 0.589383 |
| children | 0.61974 |
| view childhood obesity | 0.565638 |
| Family-based obesity treatment | 0.561868 |
| young children | 0.485505 |
| healthy lifestyle | 0.47091 |
| overall family health | 0.50419 |
| inferior body image | 0.476466 |
| ethical concerns | 0.48475 |
| pediatric obesity treatment | 0.527911 |
| body dissatisfaction | 0.476798 |
| child abuse | 0.53047 |
| good nutritional choices | 0.474494 |
| entire family | 0.477854 |
| overweight parent | 0.488306 |
| decision makers | 0.519481 |
| monitor sedentary behaviors | 0.49601 |
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| ethical interventions | 0.562876 |
| child health advocates | 0.563447 |
| walking school bus | 0.463494 |
| reward optimal behaviors | 0.485143 |
| parents | 0.625737 |
| obese child | 0.499839 |
| ethnically diverse families | 0.470455 |
| H. Body dissatisfaction | 0.466441 |
| weight loss–weight gain | 0.469138 |
| Mandy L. Perryman | 0.466065 |
| ethical family-based interventions | 0.546831 |
| Robert Wood Johnson | 0.518787 |
| Child Welfare League | 0.550909 |
| L. Predicting children | 0.4839 |
| New York | 0.472222 |
| Children’s Activity | 0.46498 |
| sedentary behaviors | 0.587341 |
| familial socioeconomic status | 0.468359 |
| public health programs | 0.478666 |
| physical activity | 0.561605 |
| health care providers | 0.477004 |
| morbid obesity | 0.509204 |
| child’s obesity | 0.5378 |
| childhood obesity | 0.943701 |
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MMWR News Summary: November 10, 2011 |
MMWR News Summary: November 3, 2011 |
| National Health Interview | 0.597435 |
| CDC
Division | 0.49564 |
| successful cessation | 0.443735 |
| epidemiologic reservoir | 0.439416 |
| Strategic Plan | 0.436517 |
| vaccination delivery strategies | 0.571643 |
| Health care providers | 0.595057 |
| tobacco users | 0.453012 |
| triple rates | 0.443254 |
| Global Polio Eradication | 0.59814 |
| vaccine-preventable causes | 0.451253 |
| effective services | 0.447632 |
| record-high levels | 0.448505 |
| Survey data | 0.461948 |
| intermittent Zostavax production | 0.546087 |
| Bacille Calmette-Guérin vaccine | 0.635551 |
| childhood morbidity | 0.4514 |
| poliovirus vaccine | 0.511256 |
| polioviruses types | 0.447694 |
| adult smokers—52.4 percent | 0.686315 |
| polio eradication | 0.760004 |
| polio endemic countries | 0.58272 |
| lesser extent | 0.439284 |
| wild poliovirus | 0.43909 |
| uncontrolled WPV1 transmission | 0.593518 |
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| current adult | 0.583709 |
| Electronic Media | 0.915715 |
| Immunization Practices | 0.435264 |
| Advisory Committee | 0.435419 |
| vaccination programs | 0.451999 |
| eradication campaigns | 0.458621 |
| supply shortages | 0.434533 |
| childhood immunizations | 0.454594 |
| highest number | 0.439383 |
| global vaccination coverage | 0.575916 |
| Zostavax supply | 0.443616 |
| U.S. adults | 0.477788 |
| WPV type | 0.537018 |
| routinely recommended childhood | 0.778792 |
| indigenous transmission | 0.462245 |
| evidence-based treatments | 0.455176 |
| older adults | 0.555454 |
| measles-containing vaccine | 0.513866 |
| low-income countries | 0.450219 |
| WPV transmission | 0.466467 |
| professional’s advice | 0.451438 |
| global birth cohort | 0.569906 |
| adequate vaccine | 0.494532 |
| childhood vaccines | 0.558004 |
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NIOSH Program Portfolio : Total Worker Health : Contacts |
The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Vital Signs: High Blood Pressure and Cholesterol-Out of Control'Announcements'DHDSP'CDC |
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| cholesterol control | 0.250681 |
| related disease | 0.216861 |
| cardiovascular disease | 0.359789 |
| important public health | 0.342134 |
| heart attack | 0.332632 |
| health insurance | 0.20746 |
| U.S. adults | 0.294021 |
| high LDL cholesterol | 0.507554 |
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| cardiovascular diseases | 0.362749 |
| Heart Disease | 0.203305 |
| Vital Signs program | 0.363299 |
| Vital Signs Podcast | 0.309944 |
| way health care | 0.295833 |
| high blood pressure | 0.84552 |
| CDC Vital Signs | 0.985957 |
| American Heart | 0.220505 |
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Email Updates: August 27, 2012'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. |
| CDC Director | 0.439311 |
| CDC | 0.754525 |
| Salmonella Typhimurium Infections | 0.223184 |
| Public Health Matters | 0.354755 |
| (EDT) | 0.248465 |
| NTM skin infections | 0.238176 |
| appropriate opioid prescribing | 0.223285 |
| FDA Safety Information | 0.246506 |
| Nile Virus epidemiology | 0.294476 |
| – (CDC) | 0.416523 |
| Health Care Professionals | 0.24957 |
| CDC Science Clips | 0.492754 |
| Additional COCA Conference | 0.245961 |
| state health departments | 0.252431 |
| CDC Influenza Division | 0.478532 |
| important safety information | 0.236142 |
| Nile virus exposures | 0.285821 |
| twitter chat | 0.238425 |
| Epidemic Intelligence Service | 0.223566 |
| 2012-2013 Influenza Season | 0.232246 |
| FDA Approves Vaccines | 0.223278 |
| live Twitter chat | 0.23117 |
| yet-to-be determined maladies | 0.224727 |
| Health Matters Blog | 0.347542 |
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| CDC Fact Sheet | 0.454392 |
| Human Infections Reported | 0.223999 |
| hurricane preparedness | 0.229042 |
| United States | 0.334887 |
| Nile Virus Update | 0.288223 |
| State Health Services | 0.252732 |
| COCA Email Update | 0.251344 |
| west nile virus | 0.925533 |
| public health community | 0.272919 |
| adverse health effects | 0.261457 |
| CDC Telebriefing | 0.399787 |
| important outbreak investigation | 0.230257 |
| public health | 0.559669 |
| Specific Hazards preparedness | 0.230208 |
| Atlantic hurricane season | 0.241667 |
| Nile virus season | 0.293024 |
| CDC disease detectives | 0.496604 |
| subject matter expert | 0.350974 |
| FoodSafety.gov Reports FDA | 0.225465 |
| weekly influenza surveillance | 0.226631 |
| federal public health | 0.257191 |
| Dr. Frieden | 0.22739 |
| Response Training Resources | 0.242512 |
| CDC subject matter | 0.643743 |
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2012 National Report on Biochemical Indicators of Diet and Nutrition |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| Laboratory Sciences | 0.539487 |
| worldwide burden | 0.531133 |
| global effort | 0.508725 |
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| environmental public health | 0.72401 |
| data | 0.33811 |
| minorities | 0.347981 |
| urine concentrations | 0.590412 |
| general population | 0.56849 |
| laboratory science | 0.528954 |
| nutrition indicators | 0.59896 |
| nutrients | 0.354072 |
| International Micronutrient malnutrition | 0.921432 |
| PDF | 0.34324 |
| children | 0.339101 |
| nutrition status | 0.572692 |
| Global Micronutrient Lab | 0.873245 |
| Nutrition Examination Survey | 0.734362 |
| Control Program | 0.515408 |
| National Center | 0.531408 |
| nutritional status | 0.753116 |
| state-by-state breakdown | 0.547325 |
| Nutrition Report | 0.580679 |
| groups | 0.339152 |
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| environmental chemicals | 0.513205 |
| U.S. population | 0.805362 |
| analytical methods | 0.510237 |
| people | 0.372275 |
| blood | 0.342808 |
| potential health relevance | 0.796212 |
| National Health | 0.539141 |
| biochemical indicators | 0.887128 |
| Environmental Health Laboratory | 0.702918 |
| micronutrient deficiencies | 0.701335 |
| laboratory analyses | 0.536166 |
| CDC nutrition efforts | 0.955306 |
| innovative techniques | 0.524638 |
| dietary indicator | 0.575966 |
| scientists | 0.336624 |
| series | 0.343096 |
| wide spectrum | 0.511599 |
| comprehensive biochemical assessment | 0.80323 |
| NHANES | 0.337943 |
| ongoing assessment | 0.554589 |
| levels | 0.339371 |
| age | 0.339016 |
| publications | 0.34306 |
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HIV Testing and Service Delivery Among Blacks or AfricanAmericans - 61 Health Department Jurisdictions, United States,2013 |
Puja Seth, PhD1, Tanja Walker, MPH1, NaTasha Hollis, PhD1, Argelia Figueroa, MS1, Lisa Belcher, PhD1 (Author affiliations at end of text). |
| important prevention services | 0.205576 |
| CDC-funded HIV testing | 0.398108 |
| National HIV/AIDS Strategy | 0.251913 |
| data | 0.239917 |
| heterosexual females | 0.204462 |
| positive black MSM | 0.211988 |
| HIV Prevention Program | 0.477116 |
| blacks | 0.577712 |
| undiagnosed HIV infection | 0.37278 |
| previous HIV-positive test | 0.21661 |
| black MSM | 0.21422 |
| possible HIV exposure | 0.367013 |
| new HIV diagnosis | 0.358699 |
| HIV positivity | 0.316545 |
| HIV status | 0.307729 |
| necessary HIV prevention | 0.350627 |
| HIV prevention services | 0.805886 |
| HIV medical care | 0.788364 |
| HIV program activities | 0.371561 |
| National HIV Prevention | 0.47652 |
| health care settings | 0.257829 |
| new positives | 0.696474 |
| new positive blacks | 0.384387 |
| new HIV-positive persons | 0.233157 |
| United States | 0.458129 |
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| HIV service delivery | 0.478534 |
| HIV-positive persons | 0.374578 |
| CDC-funded HIV TEs | 0.704892 |
| HIV testing services | 0.36216 |
| HIV tests | 0.29871 |
| HIV continuum | 0.306343 |
| national-level program data | 0.205278 |
| HIV diagnoses | 0.310049 |
| HIV-positive TEs | 0.264236 |
| new positive MSM | 0.228797 |
| HIV transmission | 0.346157 |
| Valid HIV TEs | 0.460087 |
| MSM | 0.279797 |
| HIV TEs | 0.790917 |
| non–health care settings | 0.261556 |
| routine HIV screening | 0.369263 |
| highest HIV prevalence | 0.340514 |
| Prevention Program Monitoring | 0.282151 |
| HIV | 0.97948 |
| HIV partner services | 0.659404 |
| target populations | 0.34412 |
| heterosexual males | 0.375475 |
| HIV testing | 0.590469 |
| blacks needs | 0.218287 |
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Rapid Response to Ebola Outbreaks in Remote Areas - Liberia,July-November 2014 |
On February 20, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| ebola outbreaks | 0.962518 |
| rural outbreaks | 0.669211 |
| rapid response | 0.666761 |
| private health facilities | 0.503085 |
| symptom onset | 0.608932 |
| median case-fatality rate | 0.519388 |
| Ebola virus transmission | 0.607716 |
| response activities | 0.544699 |
| Liberian case definitions | 0.504222 |
| MMWR Early Release | 0.502935 |
| Social Welfare | 0.522173 |
| Ebola transmission | 0.569805 |
| Ebola treatment facilities | 0.629623 |
| later outbreaks | 0.737586 |
| onset dates | 0.503258 |
| World Health Organization | 0.570627 |
| rapid response microplanning | 0.515188 |
| Ebola laboratory confirmation | 0.617785 |
| effective rapid response | 0.507754 |
| index case | 0.557349 |
| incomplete case investigation | 0.504711 |
| RITE strategy | 0.743352 |
| Ebola patients | 0.61132 |
| median number | 0.525565 |
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| Ebola virus disease | 0.632829 |
| possible Ebola outbreaks | 0.798528 |
| Grand Cape Mount | 0.546638 |
| Outbreak duration | 0.530794 |
| Emergency Ebola Response | 0.610732 |
| Ebola cases | 0.69937 |
| United Nations Children | 0.553504 |
| initial outbreak alerts | 0.558004 |
| Ebola case | 0.593341 |
| outbreak responses | 0.526331 |
| index patient | 0.592247 |
| laboratory-confirmed cases | 0.507059 |
| epidemiologically linked Ebola | 0.610684 |
| Liberia Ministry | 0.514226 |
| remote areas | 0.743789 |
| index cases | 0.526837 |
| early outbreaks | 0.702357 |
| county health teams | 0.533275 |
| median duration | 0.528687 |
| case-fatality rate | 0.587045 |
| Ebola treatment units | 0.641071 |
| potential outbreak | 0.520104 |
| symptom onset date | 0.505657 |
| case symptom onset | 0.525298 |
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Preventive Steps to Avoid Influenza |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| vaccine timing | 0.541014 |
| CDC | 0.488048 |
| body aches | 0.485292 |
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| Flu-like symptoms | 0.49391 |
| lung disease | 0.485285 |
| different flu viruses | 0.808357 |
| important step | 0.49622 |
| inhaled powder | 0.480663 |
| pregnant women | 0.486723 |
| doctor’s instructions | 0.481202 |
| young children | 0.483997 |
| yearly flu vaccine | 0.863237 |
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| stuffy nose | 0.491608 |
| germs | 0.435912 |
| vaccine composition | 0.550364 |
| prescription medicines | 0.477759 |
| sick people | 0.536144 |
| flu antiviral drugs | 0.766215 |
| high-risk factors | 0.480763 |
| recombinant influenza vaccines | 0.588474 |
| high risk | 0.691921 |
| limit contact | 0.484176 |
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| possible. Learn | 0.48962 |
| flu illnesses | 0.718856 |
| alcohol-based hand rub | 0.552251 |
| chronic health conditions | 0.555771 |
| hospital stay | 0.476423 |
| severe flu illness | 0.795188 |
| flu vaccine | 0.984577 |
| milder illness | 0.514713 |
| flu complications | 0.760091 |
| respiratory symptoms | 0.47625 |
| Flu vaccination | 0.730326 |
| sore throat | 0.482164 |
| prevent flu-related hospitalizations | 0.58591 |
| close contact | 0.481001 |
| health care workers | 0.558121 |
| spray flu vaccine | 0.82142 |
| influenza vaccines | 0.631119 |
| high risk persons | 0.563904 |
| sick person | 0.507746 |
| medical care | 0.484254 |
| flu | 0.999832 |
| fever-reducing medicine | 0.485979 |
| Vaccine Virus Selection | 0.629893 |
| mouth | 0.431778 |
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