| 4961 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, September 20, 2010 |
null |
| Pneumococcal polysaccharide vaccination | 0.794131 |
| Jones JL | 0.761635 |
| longitudinal study | 0.762104 |
| Nuclear polyhedrosis virus | 0.791847 |
| Pirkle JL | 0.766138 |
| New York City | 0.803564 |
| unintentional medication overdose | 0.793925 |
| case-control study | 0.765559 |
| CDC Science Clips | 0.959562 |
| African Plasmodium falciparum | 0.80001 |
| tobacco-specific nitrosamine carcinogen | 0.797334 |
| early-stage breast cancer | 0.785351 |
| new weekly digest | 0.809719 |
| remote mining projects | 0.785366 |
| McRee AL | 0.762688 |
| countermeasures feasibility study | 0.789133 |
| Guest JL | 0.768604 |
| Chief Science Officer | 0.813921 |
| Anti-folate drug resistance | 0.793282 |
| Teten AL | 0.762486 |
| U.S. women | 0.772236 |
| Stephen B. Thacker | 0.899112 |
| Baltimore young men | 0.801939 |
| Australian rail industry | 0.78176 |
| Sep | 0.85149 |
|
| local area vaccination | 0.785492 |
| biological control agent | 0.798927 |
| United States | 0.798505 |
| BMC Infect Dis. | 0.803204 |
| Med Genet A. | 0.795375 |
| breast cancer recurrence | 0.78743 |
| pentavalent rotavirus vaccine | 0.79495 |
| mutant genotype frequencies | 0.79958 |
| Carolina tuberculosis genotype | 0.80966 |
| severe rotavirus gastroenteritis | 0.795327 |
| Acquir Immune Defic | 0.791869 |
| privately-insured U.S. youth | 0.802955 |
| male sex workers | 0.795219 |
| cancer epidemiology study | 0.799018 |
| secondhand smoke exposure | 0.785445 |
| U.S. adults | 0.764035 |
| public health literature | 0.790048 |
| diabetes acute complications | 0.78056 |
| B. Thacker CDC | 0.94862 |
| normal flight operations | 0.782027 |
| original sources | 0.766594 |
| et al | 0.813919 |
| PLoS Med. | 0.769734 |
| HIV infection | 0.836386 |
|
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| 5037 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Weight: Assessing Your Weight: BMI: About Adult BMI |
BMI can be used as a screening tool but is not diagnostic of the body fatness or health of an individual. Learn more. |
| body fatness | 0.813659 |
| J. Clin | 0.471911 |
| cardiovascular risk factors | 0.20864 |
| skinfold thickness measurements | 0.354608 |
| appropriate health assessments | 0.200596 |
| high BMI | 0.648426 |
| C. et al. | 0.240858 |
| weight status categories | 0.411672 |
| BMI percentile | 0.397156 |
| standard weight status | 0.230827 |
| obesity | 0.228455 |
| BMI | 0.948128 |
|
| BMI weight status | 0.459757 |
| adult BMI | 0.562648 |
| cardiovascular disease risk | 0.216464 |
| body mass index | 0.317742 |
| Adult Obesity Facts | 0.206537 |
| CDC Growth Charts | 0.217447 |
| bioelectrical impedance | 0.207854 |
| body fatness measurements | 0.255386 |
| relatively high BMI | 0.443371 |
| corresponding BMI | 0.384298 |
| high body fatness | 0.327466 |
| et al. | 0.541097 |
|
CLICK HERE |
| 6556 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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 |
|
CLICK HERE |
| 7571 |
Centers for Disease Control and Prevention |
Html |
en |
U.S-Acquired Human Rabies with Symptom Onset and Diagnosis Abroad, 2012 |
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. |
| healthy California resident | 0.572645 |
| previously healthy California | 0.569467 |
| risk assessment | 0.546384 |
| public health practitioners | 0.559036 |
| Global Disease Detection | 0.555836 |
| State Health Svcs | 0.524673 |
| Uster Hospital | 0.539726 |
| contact | 0.595957 |
| MD | 0.519081 |
| fresh open wounds | 0.643998 |
| Ryan M. Wallace | 0.534742 |
| Zoonotic Infectious Diseases | 0.566685 |
| health-care workers | 0.558766 |
| National International Health | 0.529192 |
| rabies diagnosis | 0.598083 |
| Global Health | 0.520277 |
| infectious materials | 0.538324 |
| public health officials | 0.668646 |
| CDC rabies program | 0.657648 |
| international flights | 0.561006 |
| Swiss Rabies Center | 0.721632 |
| international public health | 0.543417 |
| Definitive bat contact | 0.543317 |
| right arm | 0.527435 |
| rabies PEP | 0.653191 |
|
| rabies virus | 0.907636 |
| Person-to-person rabies virus | 0.627237 |
| United States | 0.723917 |
| Costa Health Svcs | 0.523282 |
| infectious saliva | 0.557522 |
| local health department | 0.523632 |
| mucous membranes | 0.589045 |
| potential physical contact | 0.52727 |
| Bat rabies | 0.607197 |
| patient | 0.659849 |
| rabies virus exposure | 0.640047 |
| medical clinic | 0.578993 |
| potential exposure | 0.536814 |
| person-to-person rabies transmission | 0.616723 |
| local health departments | 0.545242 |
| public health | 0.949041 |
| U.S. resident | 0.625482 |
| human rabies cases | 0.623393 |
| public health investigation | 0.599689 |
| Swiss Federal Office | 0.548688 |
| United Arab Emirates | 0.645998 |
| laboratory-confirmed rabies | 0.59491 |
| Dubai hospital contacts | 0.517678 |
| local public health | 0.611471 |
|
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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 |
|
| 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 |
|
CLICK HERE |
| 9547 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0285 |
Volumen 10 — el 29 de agosto de 2013. |
| bajos ingresos | 0.525586 |
| Health Bucks | 0.996549 |
| Nueva York | 0.446535 |
|
| programa health bucks | 0.79936 |
| posibles efectos | 0.44459 |
| Actividad FÃsica | 0.448701 |
|
CLICK HERE |
| 9635 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Child Asthma Data - Table C1 |
BRFSS 2008 - Child Asthma Data - Table C1 |
| Puerto Rico | 0.660865 |
| data | 0.356915 |
| CI | 0.418695 |
| normal approximation | 0.657786 |
| values | 0.370138 |
| standard error | 0.62778 |
| states | 0.356687 |
| Total | 0.357067 |
|
| confidence interval | 0.944821 |
| small sample size | 0.785087 |
| caution | 0.400131 |
| District | 0.356459 |
| Notes | 0.362349 |
| binomial distribution | 0.650666 |
| estimates | 0.385103 |
|
CLICK HERE |
| 10219 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| high winds | 0.707806 |
| cyclones | 0.431519 |
| tropical storms | 0.746931 |
| world | 0.381241 |
| heavy rain | 0.732409 |
| hurricanes | 0.722042 |
|
CLICK HERE |
| 10556 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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 |
|
CLICK HERE |
| 11803 |
Centers for Disease Control and Prevention |
Html |
null |
Preventing Chronic Disease | Compliance With New York City'sBeverage Regulations and Beverage Consumption Among Children inEarly Child Care Centers - CDC |
This article examines the association between the New York City regulations on beverages served in child care centers and beverage consumption among enrolled children. The regulations include requirements related to beverages served to children throughout the day. |
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CLICK HERE |