| 1062 |
Centers for Disease Control and Prevention |
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Assessment of Blood Lead Levels Among Children Aged ?5 Years— Zamfara State, Nigeria, June–July 2012 |
Muhammed Bashir, MD1, Nasir Umar-Tsafe, MSc1, Kabiru Getso, MBBS1, Ibrahim M. Kaita, MSc1, Abdulsalami Nasidi, PhD2; Nasir Sani-Gwarzo MD2; Patrick Nguku, MD3, Lora Davis, DVM3, Mary Jean Brown ScD4 (Author affiliations at end of text). |
| lead-containing gold ore | 0.679606 |
| family compound | 0.615677 |
| Public health strategies | 0.474305 |
| environmental lead | 0.502216 |
| chelation therapy | 0.541079 |
| different ore processing | 0.581065 |
| ore processing | 0.924975 |
| residual ore wastes | 0.599459 |
| low technology methods | 0.47646 |
| highest GM BLLs | 0.489321 |
| ore processing villages | 0.622067 |
| mothers | 0.477643 |
| toxic lead fumes | 0.472489 |
| children | 0.753495 |
| Zamfara State | 0.777229 |
| environmental lead contamination | 0.47825 |
| high-risk villages | 0.495832 |
| young children | 0.545212 |
| ore processing methods | 0.813914 |
| Zamfara State Ministry | 0.480027 |
| ore processing activities | 0.631337 |
| villages | 0.624498 |
| dangerous work practices | 0.519235 |
|
| gold ore | 0.685939 |
| ore processing techniques | 0.634656 |
| BLLs | 0.559123 |
| safer ore processing | 0.560187 |
| environmental cleanup | 0.498463 |
| fatal lead poisoning | 0.480364 |
| environmental lead levels | 0.486797 |
| lead poisoning | 0.724672 |
| Environ Health Perspect | 0.514837 |
| village ore activities | 0.544289 |
| non–dust-generating ore processing | 0.623244 |
| dry grinding ore | 0.55929 |
| Venous blood samples | 0.522646 |
| high GM BLLs | 0.490853 |
| dangerous ore processing | 0.598261 |
| ore processing practices | 0.585687 |
| environmental lead exposure | 0.478717 |
| childhood lead poisoning | 0.483395 |
| hazardous processing sites | 0.473441 |
| GM BLL | 0.561032 |
| dust-generating ore processing | 0.631014 |
| BLLs т‰Ѕ45 ТЕg/dL | 0.535293 |
| blood lead levels | 0.568791 |
|
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Centers for Disease Control and Prevention |
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Toluenediamine - 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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| 8534 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Supermarket and Grocery Store-Based Interventions to Promote Healthful Food Choices and Eating Practices: A Systematic Review - CDC |
Increasingly high rates of obesity have heightened interest among researchers and practitioners in identifying evidence-based interventions to increase access to healthful foods and beverages. |
| food stores | 0.437077 |
| healthful food choices | 0.720922 |
| evidence | 0.567543 |
| healthful eating practices | 0.367116 |
| demand-side interventions | 0.414895 |
| public health practitioners | 0.355921 |
| clinical screening interventions | 0.47561 |
| food store interventions | 0.681948 |
| points | 0.488842 |
| health outcomes | 0.373411 |
| multilevel interventions | 0.45301 |
| intervention development | 0.35485 |
| food purchasing | 0.361638 |
| study design suitability | 0.356916 |
| positive intervention effect | 0.370789 |
| 12-week child-focused intervention | 0.366955 |
| healthful eating | 0.393951 |
| intervention categories | 0.374891 |
| study design | 0.742232 |
| successful interventions | 0.407775 |
| community-based interventions | 0.424455 |
| healthful food purchases | 0.366738 |
| health promotion interventions | 0.470444 |
| intervention participants | 0.376001 |
| intervention | 0.837503 |
|
| healthful dietary choices | 0.364319 |
| POP interventions | 0.479779 |
| intervention strategy | 0.392292 |
| summary score | 0.395946 |
| store sales data | 0.370344 |
| sales data | 0.479771 |
| studies | 0.440569 |
| grocery store interventions | 0.807642 |
| public health | 0.505349 |
| food store intervention | 0.417336 |
| effectiveness | 0.392457 |
| newer intervention strategies | 0.379988 |
| original research articles | 0.439384 |
| strategies | 0.413144 |
| social cognitive theory | 0.573402 |
| process measures | 0.363865 |
| Innovative supply-side interventions | 0.451839 |
| intervention category | 0.433598 |
| nutrition benefit interventions | 0.435615 |
| interventions | 0.999882 |
| grocery interventions | 0.450324 |
| store-based interventions | 0.441771 |
| concurrent comparison group | 0.392856 |
| evidence-based interventions | 0.481443 |
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| 8980 |
Centers for Disease Control and Prevention |
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CDC: Tips from Former Smokers - Michael: "My body screamed for air!" |
Michael suffers from COPD (chronic obstructive pulmonary disease), which makes it harder for a person to breathe and can cause death. In this video from CDC's "Tips From Former Smokers" campaign, Michael talks about how he wishes he had never started smoking, and the damage it caused to his lungs. He describes waking up one morning unable to breathe and having to go to the hospital. He also talks about the pain his condition has brought to his family.
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://streaming.cdc.gov/vod.php?id=0a3559e7fad122e5552632be39ef41f620130605130331890 |
| Smokers | 0.926978 |
| CDC | 0.912422 |
| Michael | 0.722604 |
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| air | 0.715009 |
| body | 0.718264 |
| YouTube | 0.860615 |
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| 10842 |
Centers for Disease Control and Prevention |
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MERS-About Symptoms and Complications |
CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness. |
| acute respiratory illness | 0.925025 |
| higher risk | 0.400057 |
| cold-like symptoms | 0.398916 |
| underlying medical condition | 0.792994 |
| weakened immune systems | 0.791049 |
| kidney failure | 0.491282 |
| Pre-existing conditions | 0.486145 |
| kidney disease | 0.434056 |
| mild symptoms | 0.422669 |
| people | 0.715149 |
|
| chronic lung | 0.41865 |
| MERS-CoV infection | 0.471679 |
| symptoms | 0.481752 |
| severe case | 0.883278 |
| pre-existing medical conditions | 0.818592 |
| infected people | 0.452587 |
| incubation period | 0.43329 |
| severe complications | 0.607205 |
| MERS | 0.755656 |
|
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| 11540 |
Centers for Disease Control and Prevention |
Html |
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NCIRD | DBD Bulletin Fall 2013 | Calendar |
Division of Bacterial Diseases Bulletin Fall |
| CDC | 0.630255 |
| National Foundation | 0.766218 |
| historical purposes | 0.784408 |
| IDSA | 0.644829 |
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| Joint Statistical Meetings | 0.902835 |
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| Course | 0.625958 |
| Boston | 0.64664 |
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| Epidemic | 0.633502 |
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| Seattle | 0.625909 |
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| 114th General Meeting | 0.937061 |
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|
| Content | 0.628251 |
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| page | 0.62822 |
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| GA | 0.657091 |
| Group B Strep | 0.76958 |
| Alison Patti | 0.894256 |
| Antimicrobial Agents | 0.763945 |
| website | 0.62919 |
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| PIDS | 0.653009 |
| Advance Media Report | 0.857877 |
| International Meeting | 0.773705 |
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| World Meningitis | 0.780802 |
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| 11924 |
Centers for Disease Control and Prevention |
Html |
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Newsroom Resources |
Helpful resources for media from CDC |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
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| 14144 |
Centers for Disease Control and Prevention |
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Occupational HIV Transmission Among Male Adult FilmPerformers - Multiple States, 2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| well-documented work-related HIV | 0.346799 |
| symptom onset | 0.393129 |
| positive hiv | 0.367275 |
| Positive HIV Ag/Ab | 0.272265 |
| HIV prevention modality | 0.26553 |
| HIV infections | 0.315319 |
| sexual contact | 0.409833 |
| negative HIV NAATs | 0.324995 |
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| anal sex | 0.328545 |
| nucleic acid amplification | 0.265606 |
| combination HIV prevention | 0.378959 |
| subsequent HIV test | 0.295855 |
| adult film performers | 0.643833 |
| acute retroviral syndrome | 0.378208 |
| chronic HIV infection | 0.341135 |
| negative HIV Ag/Ab | 0.313693 |
| film production | 0.393265 |
| HIV prevention strategies | 0.382324 |
| Positive HIV chemiluminescent | 0.264499 |
| recent HIV infection | 0.360335 |
| HIV NAAT testing | 0.38373 |
| adult film production | 0.270544 |
| adult film industry | 0.501165 |
|
| HIV sequences | 0.298556 |
| positive HIV results | 0.313911 |
| negative NAAT | 0.357932 |
| work-related HIV transmission | 0.486092 |
| HIV tests | 0.280695 |
| receptive anal sex | 0.290813 |
| local health department | 0.287014 |
| unrecognized chronic HIV | 0.274931 |
| HIV NAAT | 0.425523 |
| non–work-related sexual contact | 0.325279 |
| adult film | 0.880065 |
| newly diagnosed HIV | 0.287201 |
| HIV transmission | 0.518299 |
| public health | 0.358417 |
| positive HIV test | 0.327703 |
| sexual partners | 0.276779 |
| sexual contacts | 0.299173 |
| periodic HIV testing | 0.289788 |
| HIV | 0.936786 |
| HIV test results | 0.396891 |
| HIV Ag/Ab chemiluminescent | 0.365888 |
| HIV viral load | 0.312584 |
| HIV testing | 0.434997 |
| production companies | 0.490781 |
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Centers for Disease Control and Prevention |
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Health Care, Family, and Community Factors Associated withMental, Behavioral, and Developmental Disorders in Early Childhood- United States, 2011-2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| sociodemographic factors | 0.53375 |
| oppositional defiant disorder | 0.547424 |
| parental mental health | 0.521855 |
| mental health | 0.569052 |
| early childhood health | 0.52543 |
| early childhood MBDDs | 0.511263 |
| health care provider | 0.585581 |
| Child Health Bureau | 0.492673 |
| health care factors | 0.536081 |
| mental health indicators | 0.484415 |
| poor condition | 0.491936 |
| children | 0.643095 |
| U.S. children | 0.557909 |
| optimal child development | 0.51334 |
| autism spectrum disorder | 0.541165 |
| health care providers | 0.49823 |
| parent report | 0.522046 |
| medical home | 0.719631 |
| paternal mental health | 0.485222 |
| illness health care | 0.513276 |
| accessible health care | 0.513258 |
| poor mental health | 0.492332 |
| public health practice | 0.496936 |
| early childhood | 0.775262 |
| significant health care | 0.509072 |
|
| public health strategies | 0.483344 |
| neighborhood | 0.512665 |
| Tourette syndrome | 0.513176 |
| public health impact | 0.483349 |
| quality health care | 0.512284 |
| specific factors | 0.496639 |
| Children’s Health | 0.498274 |
| federal poverty level | 0.492885 |
| language problems | 0.50724 |
| community factors | 0.674855 |
| maternal mental health | 0.523227 |
| poorer health outcomes | 0.481196 |
| mental health prevalence | 0.507594 |
| child care issues | 0.494486 |
| developmental disorders | 0.501466 |
| health care | 0.936772 |
| public health | 0.570465 |
| fewer health risk | 0.490383 |
| MBDDs | 0.543246 |
| attention-deficit/hyperactivity disorder | 0.482981 |
| child health | 0.511344 |
| child care problems | 0.62711 |
| preventive medical care | 0.510017 |
| adverse health conditions | 0.481976 |
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Centers for Disease Control and Prevention |
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Reduced Disparities in Birth Rates Among Teens Aged 15-19Years - United States, 2006-2007 and 2013-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| teen births | 0.266767 |
| white teens | 0.326957 |
| birth rate ratio | 0.206957 |
|
| teen birth rate | 0.394652 |
| teen pregnancy prevention | 0.224473 |
| Hispanic teens | 0.26075 |
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