| 5511 |
Centers for Disease Control and Prevention |
Html |
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p-Nitrotoluene - 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 |
|
CLICK HERE |
| 6102 |
Centers for Disease Control and Prevention |
Html |
en |
N-Ethylmorpholine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 6367 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, October 24, 2011 |
null |
| pneumococcal conjugate vaccines | 0.426904 |
| full-text link | 0.330737 |
| Work-related asthma | 0.362581 |
| CDC Science Clips | 0.824091 |
| asthma care | 0.358387 |
| Gange SJ | 0.324764 |
| secular changes | 0.319986 |
| factual accuracy | 0.325326 |
| mathematical assessment model | 0.42664 |
| Asthma Call-back Survey | 0.47969 |
| Chief Science Officer | 0.473212 |
| sexual violence victimization | 0.437295 |
| perinatal risk factors | 0.423315 |
| Bitsko RH | 0.331723 |
| HIV-related mortality | 0.333067 |
| DHHS | 0.335164 |
| Cancer screening | 0.321996 |
| Hanna DB | 0.322046 |
| routinely collected surveillance | 0.425152 |
| public domain | 0.343856 |
| Smith AC | 0.316893 |
| CDC licensed materials | 0.628714 |
| Stephen B. Thacker | 0.686468 |
| International Clearinghouse | 0.316769 |
| financial barriers | 0.326074 |
|
| environmental public health | 0.443429 |
| United States | 0.334615 |
| Dietz PM | 0.331559 |
| SFX window | 0.348169 |
| Farr SL | 0.327787 |
| Birth Defects Surveillance | 0.41522 |
| adverse asthma | 0.357989 |
| public health | 0.517745 |
| weekly digest | 0.338292 |
| Bladder exstrophy | 0.332416 |
| Science Clips | 0.914374 |
| Selik RM | 0.335741 |
| recent autism prevalence | 0.426774 |
| U.S. adults | 0.330472 |
| public health literature | 0.426633 |
| SFX server | 0.348783 |
| B. Thacker CDC | 0.861501 |
| Public health department | 0.443684 |
| original authors | 0.318808 |
| epidemiologic study | 0.325402 |
| antiviral treatment | 0.33256 |
| U.S. states | 0.332362 |
| original sources | 0.339084 |
| news sources | 0.320953 |
|
CLICK HERE |
| 7163 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Use Among Middle and High School Students --- United States, 2000--2009 |
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. |
| Human Services | 0.355667 |
| small brown cigarettes | 0.354378 |
| tobacco tax increases | 0.385894 |
| tobacco control programs | 0.461921 |
| smoking cigarettes | 0.393194 |
| Youth Tobacco Survey | 0.457658 |
| tobacco | 0.71194 |
| current smoking | 0.364864 |
| overall tobacco | 0.377879 |
| Tobacco Control Act§§ | 0.387488 |
| comprehensive tobacco control | 0.556176 |
| tobacco brand | 0.370583 |
| cigarette smoking experimentation | 0.71545 |
| study period | 0.423453 |
| tobacco industry | 0.370738 |
| high school smoking | 0.388671 |
| current cigarette | 0.585568 |
| tobacco products | 0.412717 |
| school response rate | 0.358339 |
| cigarette smoking* | 0.38427 |
| cigarettes | 0.42525 |
| Tobacco Free Kids | 0.385745 |
| Family Smoking Prevention | 0.361778 |
| current tobacco | 0.560405 |
|
| youth cigarette | 0.39948 |
| adult smoking rates | 0.362755 |
| susceptibility | 0.408112 |
| United States | 0.449334 |
| best friends | 0.354729 |
| high school dropout | 0.358967 |
| youths | 0.351633 |
| cigarette smoking | 0.800541 |
| current smoker | 0.36399 |
| overall declines | 0.406999 |
| tobacco pipes | 0.366375 |
| tobacco product | 0.413446 |
| overall decline | 0.36265 |
| middle school students | 0.667282 |
| tobacco related indicators | 0.385867 |
| national YRBS | 0.352459 |
| high school students | 0.982298 |
| tobacco control policies | 0.463523 |
| adult tobacco | 0.370299 |
| National Youth Tobacco | 0.457591 |
| youth smoking | 0.351138 |
| smokeless tobacco | 0.534416 |
| cigarette packages | 0.377198 |
| quadratic analyses | 0.359001 |
|
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| 8514 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Repeat Births Among Teens - United States, 2007-2010 |
Background: Teen childbearing has potential negative health, economic, and social consequences for mother and child. Repeat teen childbearing further constrains the mother's education and employment possibilities. Rates of preterm and low birth weight are higher in teens with a repeat birth, compared with first births. |
| sexually active teen | 0.608234 |
| effective contraceptive methods | 0.599088 |
| teen mothers | 0.995806 |
| New York City | 0.753704 |
| Closely spaced births | 0.513104 |
| repeat childbearing | 0.502453 |
| birth control methods | 0.501248 |
| parenting teens | 0.55427 |
| postpartum contraception | 0.504676 |
| percentage | 0.497097 |
| postpartum | 0.559532 |
| teen pregnancy rates | 0.527706 |
| American Indian/Alaska Natives | 0.532449 |
| non-hispanic black teens | 0.560845 |
| active teen mothers | 0.620917 |
| contraception | 0.567851 |
| birth control | 0.576392 |
| oral contraceptive pills | 0.581162 |
| live births | 0.496657 |
| repeat birth | 0.583543 |
| repeat teen birth | 0.679477 |
| contraceptive methods | 0.615899 |
| effective methods postpartum | 0.510414 |
| repeat teen pregnancy | 0.651907 |
| recent live birth | 0.523039 |
|
| repeat teen births | 0.959505 |
| effective methods | 0.801056 |
| United States | 0.512126 |
| birth spacing | 0.505874 |
| overall teen birth | 0.52408 |
| teens | 0.641712 |
| states | 0.528928 |
| Pregnancy Risk Assessment | 0.527065 |
| repeat births | 0.851367 |
| live birth | 0.619086 |
| PRAMS data | 0.530525 |
| previous live birth | 0.507054 |
| teen birth rates | 0.605735 |
| Teen pregnancy prevention | 0.507179 |
| moderately effective contraceptive | 0.498409 |
| moderately effective methods | 0.519229 |
| effective birth control | 0.50435 |
| repeat teen childbearing | 0.664151 |
| reversible contraception | 0.510833 |
| contraceptive methods postpartum | 0.527881 |
| New Hampshire | 0.503581 |
| postpartum teen mothers | 0.550595 |
| low birth weight | 0.548019 |
| Risk Assessment Monitoring | 0.523506 |
|
CLICK HERE |
| 9229 |
Centers for Disease Control and Prevention |
Html |
en |
Notice to Readers: Final 2012 Reports of NationallyNotifiable Infectious Diseases |
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. |
| encephalitis virus disease | 0.904331 |
| equine encephalitis virus | 0.977619 |
| cases | 0.25264 |
| western equine encephalitis | 0.649114 |
| yellow fever | 0.445202 |
| United States | 0.437253 |
| smallpox | 0.208747 |
| syndrome-associated coronavirus disease | 0.633902 |
| anthrax | 0.209246 |
| virus infection | 0.400839 |
|
| eastern equine encephalitis | 0.651101 |
| chronic hepatitis | 0.424738 |
| Powassan virus | 0.436678 |
| poliomyelitis | 0.216254 |
| viral hemorrhagic fevers | 0.70881 |
| respiratory syndrome-associated coronavirus | 0.700036 |
| data quality review | 0.640176 |
| nonneuroinvasive disease | 0.344177 |
| hepatitis C virus | 0.403339 |
|
CLICK HERE |
| 9397 |
Centers for Disease Control and Prevention |
Html |
es |
Aprendizaje a partir experiencia europea de utilizar objetivos para mejorar la salud poblacional |
null |
| Salud Pública | 0.801868 |
| Busse R | 0.975178 |
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|
CLICK HERE |
| 11751 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Acculturation and the Prevalence of Diabetes in US Latino Adults, National Health and Nutrition Examination Survey 2007"2010 - CDC |
US Latinos are growing at the fastest rate of any racial/ethnic group in the United States and have the highest lifetime risk of diabetes. Acculturation may increase the risk of diabetes among all Latinos, but this hypothesis has not been studied in a nationally representative sample. The objective of this study was to test the hypothesis that acculturation was associated with an increased risk of diabetes in such a sample. |
| study | 0.387559 |
| acculturation increases | 0.491091 |
| federal poverty level | 0.421022 |
| data | 0.397615 |
| United States | 0.509578 |
| undiagnosed diabetes limits | 0.449328 |
| total dietary calories | 0.748607 |
| individual acculturation variables | 0.503829 |
| educational attainment | 0.412088 |
| association | 0.395648 |
| Temple University | 0.421053 |
| acculturation | 0.914651 |
| diabetes burden | 0.438545 |
| diabetes prevalence | 0.466558 |
| doctor-diagnosed diabetes | 0.493555 |
| undiagnosed diabetes | 0.57329 |
| acculturation — nativity | 0.48512 |
| nationally representative sample | 0.489779 |
| marital status | 0.414341 |
| Nutrition Examination Survey | 0.510287 |
| different acculturation experiences | 0.484926 |
| acculturation score | 0.886244 |
| participants | 0.418321 |
| BMI | 0.391666 |
|
| diabetes incidence | 0.419281 |
| Mexican Americans | 0.390926 |
| body mass index | 0.557547 |
| participant characteristics | 0.41223 |
| Hispanic origin | 0.390137 |
| acculturation process | 0.471038 |
| successive acculturation score | 0.491723 |
| insurance status | 0.392986 |
| diabetes risk | 0.516132 |
| acculturation level | 0.510962 |
| physical activity | 0.414779 |
| National Health | 0.411904 |
| household income | 0.426278 |
| HbA1c value | 0.400506 |
| leisure-time physical activity | 0.414743 |
| available data | 0.393476 |
| diabetes increases | 0.451431 |
| NHANES | 0.394655 |
| Latinos | 0.513245 |
| usual source | 0.440006 |
| diabetes | 0.936477 |
| acculturation scores | 0.476125 |
| diabetes rates | 0.424922 |
|
CLICK HERE |
| 12413 |
Centers for Disease Control and Prevention |
Image |
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You Only Have One Pair of Eyes (180W x 517H) |
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CLICK HERE |
| 15848 |
Centers for Disease Control and Prevention |
Html |
en |
Zika Virus Disease Cases - 50 States and the District ofColumbia, January 1-July 31, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Locally acquired cases | 0.352183 |
| symptom onset | 0.342532 |
| Zika virus-affected area | 0.353641 |
| possible Zika virus | 0.453744 |
| pregnant women | 0.444894 |
| active Zika virus | 0.398094 |
| probable cases | 0.388053 |
| state health departments | 0.371257 |
| health care providers | 0.403124 |
| travel-associated Zika virus | 0.4175 |
| Zika virus exposure | 0.452676 |
| nationally notifiable conditions | 0.333708 |
| median age | 0.337976 |
| unknown transmission mode | 0.350174 |
| patients | 0.370475 |
| ongoing Zika virus | 0.426422 |
| Zika virus disease | 0.819871 |
| compatible clinical signs | 0.403923 |
| travel-associated cases | 0.334039 |
| public health practice | 0.34098 |
| Zika Virus Response | 0.384913 |
| Guillain-Barré syndrome | 0.33873 |
| Zika virus transmission | 0.486241 |
| asymptomatic pregnant women | 0.337985 |
| case definition | 0.334801 |
|
| illness onset | 0.33725 |
| national arboviral surveillance | 0.374888 |
| unprotected sex | 0.339803 |
| United States | 0.356149 |
| Zika virus infection | 0.475245 |
| congenital infections | 0.352024 |
| symptomatic Zika virus | 0.389208 |
| continental United States | 0.336088 |
| rare autoimmune condition | 0.335803 |
| local transmission | 0.35083 |
| interim case definitions | 0.334255 |
| zika virus | 0.966864 |
| CSTE interim case | 0.334834 |
| local health departments | 0.353784 |
| congenital Zika virus | 0.39834 |
| Zika virus infections | 0.471492 |
| cases | 0.455436 |
| virus disease cases | 0.417287 |
| congenital infection | 0.345813 |
| prenatal visit | 0.336044 |
| sexual transmission | 0.346197 |
| local mosquito-borne transmission | 0.384254 |
| U.S. states | 0.443567 |
| mosquito-borne disease cases | 0.37487 |
|
CLICK HERE |