| 728 |
Centers for Disease Control and Prevention |
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MMWR In Briefs |
December 14, 2012 / Vol. 61 / No. SS--9 / Pg. |
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| 6556 |
Centers for Disease Control and Prevention |
Html |
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Gang Homicides - Five U.S. Cities, 2003 - 2008 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| Oklahoma City | 0.316591 |
| gang motive–based definition | 0.348551 |
| law enforcement agency | 0.347835 |
| gang victims | 0.349953 |
| gang affiliation | 0.337814 |
| gang member–based definition | 0.348688 |
| gang homicide prevention | 0.388941 |
| nongang homicide incidents | 0.368786 |
| gang homicide | 0.620879 |
| nongang homicides | 0.493785 |
| supplementary homicide reports | 0.297007 |
| violent death data | 0.282543 |
| gang violence | 0.368878 |
| contentious gang members | 0.351708 |
| cities | 0.294905 |
| gang member | 0.36641 |
| homicide prevention strategies | 0.330043 |
| prevention programs | 0.268425 |
| gang homicides | 0.902747 |
| large cities | 0.289876 |
| rival gang member | 0.366335 |
| gang processes | 0.33158 |
| drive-by shootings | 0.29358 |
| homicide event | 0.270392 |
| juvenile gang | 0.324745 |
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| gang-related mortality rates | 0.2867 |
| gang homicide estimates | 0.395241 |
| gang activity | 0.349279 |
| gang problems | 0.356267 |
| gang violence prevention | 0.355969 |
| nongang homicide victims | 0.320456 |
| gang involvement | 0.355511 |
| significantly higher proportion | 0.31757 |
| gang homicide counts | 0.412907 |
| law enforcement | 0.411868 |
| gang homicide victims | 0.430697 |
| National Gang Center | 0.392752 |
| law enforcement agencies | 0.310824 |
| gang homicide incidents | 0.453687 |
| National Youth Gang | 0.353326 |
| gang conflict | 0.329362 |
| municipal police departments | 0.270492 |
| drug trade/use | 0.333746 |
| higher proportion | 0.317916 |
| gang homicide case | 0.394342 |
| gang-related homicides | 0.350614 |
| Long Beach | 0.286387 |
| gang rivalry | 0.369595 |
| listing gang activity | 0.342144 |
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| 8816 |
Centers for Disease Control and Prevention |
Html |
en |
Impact of a Shortage of First-Line AntituberculosisMedication on Tuberculosis Control - United States,2012-2013 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| latent TB infection | 0.463961 |
| treatment | 0.41351 |
| INH | 0.757511 |
| CDC | 0.231547 |
| United States | 0.434096 |
| TB therapy | 0.287319 |
| FDA drug shortage | 0.235461 |
| local TB programs | 0.558054 |
| TB control efforts | 0.434833 |
| mg INH formulation | 0.206605 |
| TB case prevention | 0.331732 |
| drug shortages | 0.200515 |
| TB transmission | 0.392276 |
| alternative LTBI treatment | 0.244502 |
| potential INH shortage | 0.27424 |
| National Tuberculosis Controllers | 0.235242 |
| TB treatment practices | 0.396721 |
| active TB disease | 0.371381 |
| TB control activities | 0.334394 |
| drug treatment regimens | 0.236432 |
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| alternative regimens | 0.207979 |
| Global Drug Facility | 0.337396 |
| U.S. TB control | 0.336624 |
| state TB programs | 0.466517 |
| public health | 0.253775 |
| TB control programs | 0.73086 |
| INH shortage | 0.7056 |
| TB Prevention | 0.296205 |
| mg tablets | 0.331772 |
| INH supply | 0.241169 |
| drugs | 0.23082 |
| LTBI treatment | 0.369644 |
| TB cases | 0.346134 |
| Treatment Action Group | 0.230758 |
| TB | 0.987967 |
| anti-TB medications | 0.293513 |
| TB Drug Shortage | 0.464545 |
| U.S. drug shortage | 0.241157 |
| TB control | 0.824567 |
| first-line treatment regimens | 0.268399 |
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Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0170 |
CDC - Wide Page example description goes here |
| iglesias metodistas episcopales | 0.806819 |
| participante reportó | 0.647135 |
| programa fe | 0.613664 |
| Organización Mundial | 0.623451 |
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| diabetes tipo | 0.761562 |
| hipertensión or | 0.866267 |
| mayores riesgos | 0.639588 |
| Estados Unidos | 0.599247 |
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| 10064 |
Centers for Disease Control and Prevention |
Html |
en |
Silica, Engineering Controls for Silica in Construction - Tuckpointing - NIOSH Workplace Safety and Health Topic |
This NIOSH Topic Page presents information and links to other resources about Silica and Silicosis, and provides information to help workers protect themselves from occupational exposure to Silica. |
| final filter | 0.388103 |
| local exhaust control | 0.532297 |
| exhaust hose | 0.488475 |
| respirable dust | 0.673004 |
| 2-inch diameter hose | 0.536526 |
| dust plume | 0.54258 |
| type | 0.35169 |
| local exhaust ventilation | 0.961652 |
| adequate airflow | 0.401323 |
| tuckpointing grinder | 0.534035 |
| restrictive respirators | 0.392068 |
| worker exposure | 0.411865 |
| dust | 0.917475 |
| high concentrations | 0.405646 |
| respirable crystalline silica | 0.744326 |
| dust capture | 0.541161 |
| hose | 0.549659 |
| mortar dust | 0.535726 |
| high-efficiency particulate air | 0.475544 |
| ventilation dust control | 0.728159 |
| minimum air-flow rate | 0.476454 |
| exhaust ventilation dust | 0.773508 |
| cleaner bags | 0.420041 |
| tuckpointing | 0.544348 |
| work level | 0.381461 |
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| crystalline silica dust | 0.674515 |
| adequate air flow | 0.471741 |
| hazardous dust | 0.699719 |
| dust controls | 0.619806 |
| shroud | 0.432955 |
| Exhaust Ventilation Controls | 0.646697 |
| flexible hose | 0.460683 |
| cubic meter | 0.405596 |
| effective dust control.Use | 0.627188 |
| times.The local exhaust | 0.531324 |
| right hand bar | 0.459737 |
| vacuum | 0.464921 |
| Controls video clip | 0.456191 |
| exhaust entry point | 0.643783 |
| Exposure monitoring | 0.393238 |
| pressure gauge | 0.484982 |
| NIOSH REL | 0.397116 |
| Ventilation Controls video | 0.604606 |
| cfm | 0.340507 |
| final filters | 0.389535 |
| industrial vacuum | 0.4053 |
| control measures | 0.406044 |
| cyclonic preseparator | 0.40137 |
| cubic feet | 0.395909 |
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Centers for Disease Control and Prevention |
Html |
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Prevent Illness from Food and Water After Hurricane or Flood'Hurricanes |
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| typhoons | 0.450001 |
| injuries | 0.400141 |
| high tidal waves | 0.963398 |
| flooding | 0.435299 |
| hurricane | 0.402652 |
| water | 0.375881 |
| food | 0.376121 |
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| high winds | 0.707806 |
| cyclones | 0.431519 |
| tropical storms | 0.746931 |
| world | 0.381241 |
| heavy rain | 0.732409 |
| hurricanes | 0.722042 |
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| 10556 |
Centers for Disease Control and Prevention |
Html |
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CDC Global Health - Stories - Lymphatic filariasis: Komi's Story |
CDC works 24/7 to save lives, reduce disease, and improve health around the world. |
| country | 0.559295 |
| Komi | 0.757595 |
| CDC | 0.581781 |
| scrotum | 0.521788 |
| NTD program | 0.59405 |
| daily struggles | 0.587566 |
| Global Health Initiative | 0.651058 |
| enormous suffering | 0.58701 |
| following story | 0.594009 |
| poorest people | 0.59253 |
| Disease Control | 0.583981 |
| NTD prevalence | 0.601066 |
| United States Agency | 0.649213 |
| mass drug administration | 0.65193 |
| Doufelgou district | 0.59853 |
| patients | 0.526036 |
| real experiences | 0.586586 |
| Pouda | 0.516885 |
| lymphatic filariasis | 0.597422 |
| symptoms | 0.530298 |
| training dispensary workers | 0.656593 |
| MDA interventions | 0.585649 |
| real people | 0.599951 |
| Neglected Tropical Diseases | 0.656519 |
| programs | 0.541882 |
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| considerable effect | 0.57972 |
| at-risk populations | 0.581951 |
| stigma | 0.517248 |
| limbs | 0.516494 |
| International Development | 0.579734 |
| sustainable surveillance | 0.577146 |
| NTDs | 0.63812 |
| African countries | 0.580426 |
| world | 0.533334 |
| treatment drugs | 0.57835 |
| land | 0.53403 |
| substantial impact | 0.576776 |
| village | 0.51689 |
| Togolese program staff | 0.651166 |
| MOH | 0.578244 |
| disfigurement | 0.519878 |
| USAID | 0.516742 |
| child health | 0.577674 |
| lymphedema management | 0.589588 |
| LF program components | 0.819103 |
| oldest children | 0.593565 |
| money | 0.515853 |
| West Africa | 0.596272 |
| cognitive development | 0.574763 |
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Centers for Disease Control and Prevention |
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Current Cigarette Smoking Among Workers in Accommodation andFood Services - United States, 2011-2013 |
Girija Syamlal, MPH1; Ahmed Jamal, MBBS2; Jacek M. Mazurek, MD1 (Author affiliations at end of text). |
| smoking costs | 0.30106 |
| smoking rates | 0.300626 |
| high school | 0.321237 |
| health insurance | 0.323895 |
| Health Interview Statistics | 0.282644 |
| U.S. civilian population | 0.279227 |
| National Health Interview | 0.302042 |
| drinking places industry | 0.276269 |
| Overall cigarette smoking | 0.360641 |
| annual family income | 0.342556 |
| college education | 0.279112 |
| higher smoking prevalence | 0.38821 |
| smoke-free indoor air | 0.283201 |
| current cigarette smoking | 0.373662 |
| point estimates.* Cigarette | 0.298365 |
| National Center | 0.28421 |
| higher cigarette smoking | 0.371968 |
| accommodation services sector | 0.306362 |
| worksite smoke-free policies | 0.302109 |
| smoke-free workplace policies | 0.292781 |
| U.S. Surgeon General | 0.275686 |
| food preparers | 0.277825 |
| smoking information | 0.297176 |
| Total Worker Health | 0.281868 |
| Jacek M. Mazurek | 0.282888 |
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| U.S. workers | 0.290666 |
| self-reported smoking status | 0.327908 |
| cigarettes | 0.278617 |
| food services sector | 0.959115 |
| personal household interview | 0.276783 |
| current smoking prevalence | 0.402962 |
| health promotion | 0.340487 |
| comprehensive smoke-free laws | 0.32638 |
| public places | 0.29779 |
| highest smoking prevalences | 0.350478 |
| Healthy People | 0.318309 |
| non-Hispanic whites | 0.28009 |
| local health departments | 0.280845 |
| comprehensive smoke-free policies | 0.291204 |
| secondhand smoke exposure | 0.337981 |
| U.S. adults | 0.350494 |
| health | 0.360963 |
| cigarette smoking prevalence | 0.699305 |
| Chronic Disease Prevention | 0.309011 |
| smoke-free worksite policies | 0.29209 |
| services sector workers | 0.521885 |
| accommodation | 0.315853 |
| Girija Syamlal | 0.281147 |
| food services workers | 0.380085 |
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| 15542 |
Centers for Disease Control and Prevention |
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Animated Images |
Download or share animated images for flu-related topics including pregnant women, heart disease, flu-related hospitalizations, and preventive measures - CDC |
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| 15948 |
Centers for Disease Control and Prevention |
Html |
en |
Resources |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Center | 0.419423 |
| tree holes | 0.535389 |
| Agriculture directory | 0.509243 |
| university cooperative extension | 0.607271 |
| indoor spraying | 0.594843 |
| aerial spraying | 0.614591 |
| Mosquito Control | 0.993274 |
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| National Pesticide Information | 0.633943 |
| U.S. Department | 0.517192 |
| partners | 0.419095 |
| County Extension Office | 0.605132 |
| outdoor spraying | 0.589286 |
| state | 0.418984 |
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