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Centers for Disease Control and Prevention |
Html |
en |
Chloropicrin - 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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| 6761 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - Epidemiology and Laboratory Capacity |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| full-time training | 0.447949 |
| endorsement | 0.25526 |
| field surveys | 0.426635 |
| leaders | 0.243265 |
| Laboratory Training Program | 0.711359 |
| two-year residency training | 0.67931 |
| African public health | 0.626621 |
| classroom instruction | 0.432323 |
| program requirements | 0.450638 |
| Public Health degree | 0.649415 |
| evaluate surveillance systems | 0.640798 |
| Content source | 0.419258 |
| HHS | 0.259726 |
| School | 0.23992 |
| total | 0.237752 |
| high-level epidemiology | 0.574068 |
| Notice | 0.238241 |
| Students | 0.236409 |
| disease control | 0.421896 |
| Pretoria | 0.315347 |
| FETP | 0.240406 |
| workers | 0.235932 |
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| public health | 0.989197 |
| SAFETP | 0.28064 |
| national health systems | 0.710032 |
| South African participants | 0.636765 |
| epidemiologic investigations | 0.443517 |
| field assignments | 0.442189 |
| prevention measures | 0.421579 |
| Master | 0.275819 |
| policy-makers | 0.257374 |
| service program operating | 0.674423 |
| Diploma | 0.239826 |
| train other health | 0.468384 |
| non-federal site | 0.446132 |
| University | 0.275778 |
| African Field Epidemiology | 0.798057 |
| provincial epidemiologists | 0.453876 |
| residents | 0.273795 |
| field epidemiology fellows | 0.696976 |
| employees | 0.235709 |
| CDC South Africa | 0.759699 |
| relevant positions | 0.419461 |
| surveillance capacity in-country | 0.746637 |
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| 7113 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0284 |
The objective of this study was to examine perceptions of weight appropriateness and the effect of weight on health among South Asian Americans. |
| cardiovascular disease | 0.233313 |
| South Asian Americans | 0.703853 |
| BMI categories | 0.239424 |
| South Asian population | 0.237389 |
| normal weight | 0.484081 |
| United States | 0.62092 |
| overweight participants | 0.345163 |
| South Asians | 0.293193 |
| chronic diseases | 0.268449 |
| weight | 0.933488 |
| health | 0.456951 |
|
| WHO-defined BMI categories | 0.213262 |
| Perceived weight status | 0.200318 |
| general population | 0.284721 |
| actual weight status | 0.237291 |
| weight appropriateness | 0.21899 |
| weight status | 0.801843 |
| obese participants | 0.407424 |
| personal health | 0.268524 |
| overweight | 0.467564 |
| public health action | 0.220641 |
| participants | 0.42356 |
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| 7704 |
Centers for Disease Control and Prevention |
Html |
en |
Top Search Keywords (External) - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| list Skip | 0.809744 |
| page options Skip | 0.958995 |
| external search engines | 0.61717 |
|
| search words | 0.370086 |
| navigation Skip | 0.828151 |
| CDC.gov page | 0.376743 |
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| 8293 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Leisure-Time Physical Activityand Its Association With Metabolic Risk Factors in Iranian Adults:Tehran Lipid and Glucose Study, 2005-2008 - CDC |
We examined the association between leisure-time physical activity (LTPA) and metabolic syndrome (MetS) among 4,665 randomly selected adults who participated in the Tehran Lipid and Glucose Study, 2005–2008. Normal-weight participants with light LTPA had higher risk of low high-density lipoprotein cholesterol and elevated levels of triglycerides than those with vigorous LTPA. |
| blood glucose | 0.612135 |
| elevated systolic blood | 0.516903 |
| light LTPA | 0.618619 |
| calorie intake | 0.536278 |
| education levels | 0.528968 |
| moderate LTPA | 0.586656 |
| blood glucose levels | 0.509956 |
| association | 0.49755 |
| systolic blood pressure | 0.89135 |
| higher triglyceride levels | 0.506083 |
| LTPA levels | 0.490048 |
| overweight group | 0.488288 |
| Medical Sciences | 0.511536 |
| diastolic blood pressure | 0.491488 |
| various BMI groups | 0.498665 |
| elevated levels | 0.521512 |
| obese groups | 0.501055 |
| Glucose Study | 0.504156 |
| high-density lipoprotein cholesterol | 0.496116 |
| vigorous physical activity | 0.526859 |
| obese group | 0.523349 |
| Endocrine Sciences | 0.512106 |
| participants | 0.543315 |
| higher risk | 0.60124 |
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| fasting blood glucose | 0.500995 |
| individual MetS components | 0.601335 |
| body mass index | 0.481566 |
| moderate LTPA groups | 0.527225 |
| BMI groups | 0.522598 |
| sedentary lifestyle | 0.565656 |
| physical activity | 0.707645 |
| HDL cholesterol | 0.528493 |
| metabolic syndrome | 0.495355 |
| American Heart Association | 0.487957 |
| Modifiable Activity Questionnaire | 0.484251 |
| MetS | 0.7127 |
| Shahid Beheshti University | 0.625167 |
| leisure-time physical activity | 0.575143 |
| Research Institute | 0.51194 |
| vigorous LTPA | 0.900889 |
| reduced HDL cholesterol | 0.487462 |
| high systolic blood | 0.586041 |
| LTPA categories | 0.494517 |
| elevated triglycerides | 0.487771 |
| Tehran Lipid | 0.499629 |
| lower HDL cholesterol | 0.483544 |
| Normal-weight participants | 0.502662 |
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| 8552 |
Centers for Disease Control and Prevention |
Html |
en |
After a Tornado |
Information on preparing for Tornadoes and being safe after a Tornado. Provided by the Centers for Disease Control and Prevention (CDC). |
| basement | 0.435531 |
| Centers | 0.430318 |
| CDC | 0.518464 |
| objects | 0.432882 |
| natural disasters | 0.556924 |
| recommendation | 0.48002 |
| Prevention | 0.430269 |
| tornado safety | 0.704301 |
| path | 0.429106 |
| extremely high winds | 0.743432 |
| head injuries | 0.674801 |
| effective ways | 0.566047 |
| hazards | 0.435528 |
| Disease Control | 0.569359 |
| helmet | 0.442701 |
| workbench | 0.438522 |
| wreckage | 0.446093 |
| helmets | 0.537598 |
| effectiveness | 0.4292 |
| tornado warning | 0.781582 |
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| tornado | 0.941305 |
| tornado-safe room | 0.567757 |
| tornadoes | 0.530637 |
| protective measures | 0.553583 |
| health | 0.430879 |
| appropriate shelter | 0.542958 |
| poses additional injury | 0.72033 |
| people | 0.586456 |
| heavy table | 0.569561 |
| home | 0.457756 |
| delay | 0.439519 |
| risks | 0.430838 |
| outdoors | 0.431978 |
| common causes | 0.558097 |
| detailed information | 0.55244 |
| risk | 0.432956 |
| time | 0.428608 |
| safest place | 0.581752 |
| family | 0.433301 |
| tornado preparedness kit | 0.826348 |
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| 9656 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH A-Z Index - D |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 11121 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 2.6 |
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| Selenium Serum selenium | 0.546413 |
| Total population | 0.507812 |
| Search Form Controls | 0.61435 |
| Males | 0.562474 |
| Serum alpha-carotene | 0.511115 |
| conf. interval | 0.923796 |
| Urinary equol | 0.505694 |
| file | 0.550675 |
| Serum iron | 0.510874 |
| Geometric mean | 0.916319 |
| small cell size | 0.713477 |
| Urinary enterolactone | 0.505475 |
| Urinary O-desmethylangolensin | 0.505621 |
| Carotenoids Serum | 0.507762 |
| u.s. population | 0.726587 |
| Serum lutein/zeaxanthin | 0.51104 |
| Nutrition Examination Survey | 0.874119 |
| Biochemical Indicators | 0.518419 |
| National Report | 0.511221 |
| Tweet Share Compartir | 0.524355 |
| Urinary enterodiol | 0.505548 |
| Mexican Americans | 0.589526 |
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| greater uncertainty | 0.584661 |
| percentiles | 0.549719 |
| non-hispanic whites | 0.579262 |
| Table | 0.565197 |
| Serum trans-lycopene | 0.511015 |
| Iodine Urinary iodine | 0.503578 |
| Lignans Urinary genistein | 0.507181 |
| page options Skip | 0.518424 |
| Search Controls | 0.513487 |
| Serum gamma-tocopherol | 0.51114 |
| non-hispanic blacks | 0.587072 |
| Iron-Status Indicators Serum | 0.547089 |
| Serum trans-beta-carotene | 0.51109 |
| total U.S. population | 0.515004 |
| National Health | 0.663982 |
| Compounds Serum folate | 0.549681 |
| Urinary daidzein | 0.505768 |
| Serum transferrin saturation | 0.551682 |
| Serum vitamin | 0.539385 |
| page | 0.545418 |
| serum | 0.952677 |
| serum concentrations | 0.709996 |
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| 12661 |
Centers for Disease Control and Prevention |
Video |
en |
A Need To Know |
Despite advances in HIV testing and treatment, HIV and AIDS still pose a major threat to African American men who have sex with other men, inject drugs with dirty needles, or neglect to get tested. In the US, African Americans at risk NEED TO KNOW if they are HIV-positive to benefit from life-saving therapies and avoid infecting others.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/cdctv/ |
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| 13282 |
Centers for Disease Control and Prevention |
Html |
en |
Fatal Bacteremia Caused by Campylobacter gracilis, UnitedStates - Volume 21, Number 6-June 2015 - Emerging InfectiousDisease journal - CDC |
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| Campylobacter species | 0.487986 |
| usual health status | 0.357862 |
| antimicrobial drug treatment | 0.367042 |
| Severe respiratory distress | 0.370217 |
| antimicrobial agents | 0.362546 |
| cellular fatty acids | 0.334279 |
| reference range | 0.621115 |
| periodontal diseases | 0.37127 |
| antimicrobial drug | 0.369512 |
| Campylobacter gracilis | 0.728423 |
| newly recognized Campylobacter | 0.445304 |
| acute respiratory distress | 0.365947 |
| frequently identified species | 0.339402 |
| asymptomatic periradicular lesions | 0.343838 |
| anaerobic gram-negative rod | 0.342758 |
| oral flora | 0.350657 |
| Clin Infect Dis. | 0.796395 |
| Campylobacter spp | 0.408457 |
| pleuropulmonary infections | 0.366677 |
| respiratory cultures | 0.35869 |
| genus Campylobacter | 0.406971 |
| Bacteroides gracilis | 0.862206 |
| corresponding chemotaxonomic features | 0.341388 |
| mild respiratory distress | 0.375465 |
| respiratory distress | 0.45506 |
|
| obstructive pulmonary disease | 0.357045 |
| Campylobacter rectus | 0.390159 |
| anatomic sites | 0.367758 |
| newly recognized species | 0.35755 |
| case report | 0.341903 |
| antimicrobial susceptibility patterns | 0.375522 |
| B. gracilis | 0.581163 |
| antimicrobial drug resistance | 0.360364 |
| large pleural effusion | 0.351264 |
| Campylobacter spp. | 0.496142 |
| Campylobacter bacteremia | 0.476896 |
| human oral flora | 0.333492 |
| Siqueira JF Jr | 0.33439 |
| primary endodontic infections | 0.340663 |
| acute periradicular abscess | 0.346081 |
| Int Endod J. | 0.33144 |
| C. gracilis | 0.977659 |
| major pathogenic role | 0.34751 |
| gram-negative rod | 0.353924 |
| acute apical periodontitis | 0.349245 |
| different anatomic sites | 0.364991 |
| Long Island College | 0.357875 |
| C. gracilis bacteremia | 0.711881 |
| oral steroid therapy | 0.354368 |
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