| 4931 |
Centers for Disease Control and Prevention |
Html |
en |
Bats and Rabies - Rabies |
Bats play an important role in ecosystems; but they are often misunderstood. Learn more about bats and rabies; but be safe; never handle a bat. |
| damage | 0.465151 |
| habits | 0.461077 |
| seed | 0.462838 |
| crops | 0.467854 |
| birds | 0.45418 |
| rodents | 0.473284 |
| bats | 0.963153 |
| local populations | 0.693476 |
| bat | 0.531578 |
| unique mammals | 0.693011 |
| best protection | 0.678994 |
| plants | 0.459497 |
| things | 0.454583 |
| value | 0.453806 |
|
| rain forests | 0.733756 |
| development | 0.45551 |
| key roles | 0.723571 |
| rabies | 0.736296 |
| insects | 0.468589 |
| people | 0.454823 |
| blood | 0.4524 |
| Studies | 0.455806 |
| navigational aids | 0.704316 |
| deserts | 0.480963 |
| globe | 0.466083 |
| species | 0.454979 |
| farms | 0.460773 |
| ecosystems | 0.471769 |
|
CLICK HERE |
| 5041 |
Centers for Disease Control and Prevention |
Html |
en |
Children's BMI Tool for Schools |
The Children's BMI Tool for Schools is an Excel spreadsheet intended for use by school, child care, and other professionals who want to compute Body Mass Index (BMI)-for-age for a group of up to 2000 children, for example a school class room or grade. Learn more. |
| data collection procedures | 0.365557 |
| physical education | 0.241578 |
| school-based BMI measurement | 0.683834 |
| BMI information | 0.510275 |
| outlines needs | 0.249857 |
| appropriate expertise | 0.259471 |
| actual BMI-for-age percentiles | 0.394192 |
| appropriate follow-up actions | 0.37645 |
| measurement information | 0.280393 |
| School Health. | 0.249636 |
| Excel spreadsheet | 0.464612 |
| BMI number | 0.495886 |
| current practices | 0.257377 |
| appropriate process | 0.260114 |
| child care | 0.27588 |
| BMI results | 0.481114 |
| Mass Index Measurement | 0.371554 |
| future research | 0.256808 |
| weight measurements | 0.298052 |
| BMI percentiles | 0.600009 |
| school-based BMI surveillance | 0.910218 |
| reliable results | 0.244472 |
| school staff | 0.256273 |
| Nihiser AJ | 0.246491 |
|
| potential positive impact | 0.382045 |
| height | 0.260596 |
| Body Mass Index | 0.860921 |
| Lee SM | 0.247417 |
| Safeguard | 0.420254 |
| specific safeguards | 0.274274 |
| parental consent | 0.255756 |
| effective follow-up | 0.250191 |
| respectful explanation | 0.251972 |
| BMI measurement program | 0.599476 |
| BMI-for-age categories | 0.270377 |
| staff members | 0.249357 |
| healthy weight | 0.257089 |
| Mass Index Measurements | 0.374623 |
| data file | 0.27422 |
| unintended consequences | 0.246311 |
| data collection | 0.383095 |
| health education class | 0.359578 |
| group summary | 0.415905 |
| BMI Tool | 0.563189 |
| individual children | 0.279675 |
| schools | 0.233801 |
| Enable Macros | 0.254241 |
|
CLICK HERE |
| 7568 |
Centers for Disease Control and Prevention |
Html |
en |
Teen Drinking and Driving - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| high school | 0.912927 |
| alcohol retailer compliance | 0.484521 |
| retail sales | 0.384892 |
| binge drinking | 0.481341 |
| experienced drivers | 0.407457 |
| risky behavior | 0.394364 |
| alcoholic drinks | 0.383203 |
| *High school students | 0.466416 |
| minimum legal drinking | 0.829306 |
| alcohol | 0.565952 |
| fatal crash | 0.388893 |
| high school teens | 0.672045 |
| *Blood alcohol concentration | 0.487355 |
| MLDA laws | 0.383015 |
| legal drinking age | 0.921089 |
| risky driving | 0.399405 |
| major threat | 0.386745 |
| Model safe driving | 0.453875 |
| teen drivers | 0.618069 |
| driver licensing systems | 0.58178 |
| legal limit | 0.383098 |
| lower rates | 0.378913 |
| parents | 0.394828 |
| parent-teen driving agreements | 0.46363 |
| Fewer teens | 0.465188 |
|
| GDL laws | 0.395569 |
| Obey speed limits | 0.441837 |
| teens | 0.815889 |
| GDL systems | 0.397649 |
| Research | 0.39152 |
| adult drivers | 0.386114 |
| cell phone | 0.378252 |
| safe way | 0.378935 |
| parent-teen driving agreement | 0.591087 |
| high school drinks | 0.480013 |
| blood alcohol concentration | 0.510386 |
| specific rules | 0.381432 |
| Zero tolerance laws | 0.45153 |
| new drivers | 0.578597 |
| fatal crashes | 0.393226 |
| risky conditions | 0.391709 |
| teen drinking | 0.464292 |
| new teen drivers | 0.458506 |
| safe drivers | 0.387563 |
| Educate parents | 0.377377 |
| young drivers | 0.477614 |
| traffic violations | 0.380656 |
| parental involvement | 0.471964 |
| tolerance laws | 0.547501 |
|
CLICK HERE |
| 7778 |
Centers for Disease Control and Prevention |
Html |
en |
Violence in the Work Place - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Violence in the Workplace |
| taxicab driver | 0.486286 |
| retail trade establishments | 0.598038 |
| cash register | 0.457565 |
| violent acts | 0.486262 |
| work-related homicides | 0.852947 |
| a.m. shift | 0.454983 |
| workplace violence | 0.556814 |
| police officers | 0.469321 |
| store closing practices | 0.598573 |
| individual workplaces | 0.470575 |
| frightened families | 0.486773 |
| risk factors | 0.471223 |
| effective protective measures | 0.613373 |
| good visibility | 0.461871 |
| assailant strikes | 0.473635 |
| greatest risk | 0.46579 |
| motor vehicle fatalities | 0.666605 |
| high-crime areas | 0.473862 |
| single strategy | 0.469445 |
| particular risk | 0.489743 |
| job tasks | 0.460798 |
| safety training | 0.460189 |
| security guards | 0.470186 |
| state laws | 0.462497 |
| teen children | 0.458157 |
|
| small amounts | 0.46285 |
| cash exchange area | 0.597277 |
| retail trade | 0.631099 |
| routine contact | 0.474824 |
| taxicab drivers | 0.503209 |
| residential area | 0.455889 |
| co-worker violence accounts | 0.630431 |
| convenience stores | 0.461507 |
| good lighting | 0.461805 |
| INFORM viewers | 0.635417 |
| convenience store | 0.460802 |
| head | 0.349047 |
| bullet-proof barriers | 0.479456 |
| small numbers | 0.471376 |
| workers | 0.597272 |
| U.S. residents | 0.490039 |
| assaults | 0.392542 |
| gas stations | 0.465474 |
| drawer | 0.361122 |
| work-related death | 0.535711 |
| youth workers | 0.48401 |
| 42-year-old woman | 0.456309 |
| workplace homicides | 0.981423 |
| age | 0.360703 |
|
CLICK HERE |
| 7820 |
Centers for Disease Control and Prevention |
Html |
en |
Health Communication - Campaigns |
Gateway to Health Communication - Campaigns |
| HIV Screening | 0.6732 |
| Peor que la | 0.611772 |
| new HIV infections | 0.749721 |
| Conozca su Cuerpo | 0.608186 |
| social marketing campaign | 0.651321 |
| para Promover el | 0.62365 |
| primary care providers | 0.640258 |
| health issues | 0.608432 |
| social media tools | 0.622354 |
| health care providers | 0.734579 |
| health education campaign | 0.684099 |
| new national HIV | 0.759459 |
| routine HIV testing | 0.719528 |
| American Indian/Alaska Natives | 0.614032 |
| bone health | 0.616477 |
| Gynecologic Cancer Campaign | 0.667724 |
| new HIV awareness | 0.737394 |
| national tobacco education | 0.636483 |
| contra el SIDA | 0.63609 |
| different population groups | 0.60735 |
| HIV prevention strategies | 0.751722 |
| regular colorectal cancer | 0.617061 |
| Health Communication Programs | 0.641567 |
| five-year national campaign | 0.693446 |
| el Remedio Es | 0.619659 |
|
| obstructive pulmonary disease | 0.608858 |
| Food Safety Education | 0.609639 |
| Tips campaign | 0.635757 |
| United States | 0.629631 |
| HIV Treatment Works | 0.751689 |
| Social Media Campaigns | 0.616009 |
| negative health effects | 0.643475 |
| herramientas para el | 0.617774 |
| prevention campaign | 0.610469 |
| reduced-priced related products | 0.609904 |
| National Infant Immunization | 0.620728 |
| National Cancer Institute | 0.633025 |
| National Influenza Vaccination | 0.630489 |
| social media | 0.634849 |
| Spanish link | 0.947709 |
| La prueba del | 0.615045 |
| Influenza Free Resources | 0.625524 |
| additional health conditions | 0.647341 |
| Cancer Action Campaign | 0.651546 |
| Juntos el VIH | 0.628949 |
| right prevention strategy | 0.632702 |
| HIV testing | 0.726622 |
| Community Preventive Services | 0.677422 |
| el Cáncer Colorrectal | 0.617382 |
|
CLICK HERE |
| 9464 |
Centers for Disease Control and Prevention |
Html |
es |
Comprensión de la producción de salud poblacional y la función del pago por esta salud |
null |
|
|
CLICK HERE |
| 10775 |
Centers for Disease Control and Prevention |
Html |
en |
West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus, Pregnancy Risk Assessment Monitoring System |
| glucose levels | 0.657146 |
| state agencies | 0.572363 |
| GDM | 0.972697 |
| pregnant women | 0.645477 |
| pregnancy complication | 0.57975 |
| health care providers | 0.640103 |
| health care professionals | 0.643537 |
| thorough medical documentation | 0.629641 |
| proper care | 0.592789 |
| blood pressure | 0.632153 |
| data sources | 0.576784 |
| pilot program | 0.569411 |
| Gestational Diabetes Mellitus | 0.698675 |
| uncontrolled GDM | 0.769963 |
| multiple organ failure | 0.634122 |
| data quality | 0.630857 |
| postpartum care | 0.590466 |
| large infant | 0.576171 |
| hospital procedures | 0.569039 |
| women | 0.653597 |
| data validation | 0.581092 |
| WV women | 0.587173 |
| strengthen patient education | 0.62657 |
| Early detection | 0.577505 |
| West Virginia | 0.713871 |
|
| policy changes | 0.568113 |
| gestational diabetes | 0.82829 |
| document follow-up visits | 0.644363 |
| pregnancy complications | 0.577638 |
| rapid rise | 0.570434 |
| data accuracy | 0.580031 |
| GDM follow-up procedures | 0.834918 |
| Better Data | 0.583627 |
| improve documentation | 0.576113 |
| GDM care process | 0.830256 |
| birth certificate | 0.568569 |
| 1-hour glucose test | 0.639148 |
| data collection forms | 0.633267 |
| 3-hour follow-up test | 0.654558 |
| department store gift | 0.621137 |
| follow-up care compliance | 0.662827 |
| maternal high blood | 0.639443 |
| future pregnancies | 0.577472 |
| infant jaundice | 0.578928 |
| Better Care | 0.58909 |
| hospital charts | 0.570948 |
| recurrent GDM | 0.763357 |
| follow-up care | 0.669702 |
| prenatal screening | 0.571501 |
|
CLICK HERE |
| 11776 |
Centers for Disease Control and Prevention |
Html |
en |
Key Findings: Long Term Outcomes in Children with Congenital Heart Disease |
null |
| healthcare providers | 0.281316 |
| Health Consortium | 0.272799 |
| Reefhuis J. Long | 0.325548 |
| developmental disability | 0.269848 |
| illnesses | 0.240756 |
| child’s life | 0.269402 |
| National Health Interview | 0.447567 |
| Prevention Study | 0.267217 |
| National Birth Defects | 0.370968 |
| unique collaboration | 0.263673 |
| Birth Defects Research | 0.370482 |
| health issues | 0.277584 |
| worse health | 0.361886 |
| medical doctor | 0.272736 |
| children | 0.373408 |
| technical assistance | 0.267013 |
| congenital heart disease | 0.904589 |
| CDC funds | 0.340524 |
| Attention-Deficit/Hyperactivity Disorder | 0.277769 |
| health conditions | 0.292577 |
| Term Outcomes | 0.267448 |
| autism spectrum disorder | 0.328973 |
| large studies | 0.267266 |
| Congenital Heart Public | 0.375676 |
|
| developmental disabilities | 0.271471 |
| visit https://www.cdc.gov/ncbddd/heartdefects/ | 0.266266 |
| Birth Defects Study | 0.370621 |
| heart defects | 0.318366 |
| new study | 0.283058 |
| CDC researchers | 0.325654 |
| daily life | 0.281587 |
| Health Interview Survey | 0.450449 |
| State programs | 0.264841 |
| birth defects | 0.460466 |
| physical activity | 0.270875 |
| American Heart Association | 0.33735 |
| special equipment | 0.345083 |
| Health status | 0.282752 |
| healthcare services | 0.280993 |
| Atlanta Congenital Defects | 0.403874 |
| population-based state tracking | 0.323838 |
| ear infections | 0.270205 |
| prescription medication | 0.267355 |
| Evaluate Pregnancy | 0.266438 |
| CHD | 0.69306 |
| intellectual disability | 0.401745 |
| e.g. | 0.240342 |
|
CLICK HERE |
| 16117 |
Centers for Disease Control and Prevention |
Html |
en |
HAN Archive - 00398|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| yellow areas | 0.323135 |
| CDC Health Alert | 0.261325 |
| CDC | 0.294389 |
| adverse pregnancy outcomes | 0.281054 |
| urine Zika virus | 0.293007 |
| symptom onset | 0.357378 |
| travel recommendations | 0.251761 |
| Zika virus | 0.985873 |
| antibody test result | 0.298602 |
| Zika virus infection | 0.575173 |
| recommendations | 0.304351 |
| Zika virus immunoglobulin | 0.293199 |
| red areas | 0.377568 |
| local transmission | 0.33373 |
| possible Zika virus | 0.385561 |
| urine RNA NAT | 0.274389 |
| pregnant women | 0.838227 |
| IgM antibody test | 0.390389 |
| significant risk | 0.274989 |
| ongoing risks | 0.298602 |
| one-square-mile area | 0.251136 |
| active Zika virus | 0.450522 |
| RNA NAT | 0.306117 |
| ongoing risk | 0.253551 |
|
| symptomatic pregnant women | 0.335123 |
| epidemiologic link | 0.348823 |
| CDC’s Zika | 0.252644 |
| Zika virus exposure | 0.379337 |
| Zika virus RNA | 0.327086 |
| ongoing Zika virus | 0.301294 |
| Zika virus disease | 0.375868 |
| Miami-Dade County | 0.611192 |
| RNA NAT testing | 0.300336 |
| possible exposure | 0.440993 |
| Zika virus transmission | 0.68645 |
| Zika virus IgM | 0.303485 |
| Zika cautionary areas | 0.271327 |
| asymptomatic pregnant women | 0.362194 |
| RNA NAT result | 0.272583 |
| Zika active transmission | 0.275415 |
| maternal Zika virus | 0.29613 |
| risk | 0.313535 |
| pregnant sex partner | 0.28304 |
| Healthcare providers | 0.274687 |
| greater likelihood | 0.274377 |
| Yellow Area Designation | 0.253887 |
| yellow area | 0.287559 |
|
CLICK HERE |
| 16306 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Men's Health |
null |
| Summary Health Statistics | 0.479909 |
| United States | 0.454903 |
| Final Data | 0.379228 |
| drinks | 0.320355 |
| National Health Interview | 0.923545 |
| Table A-11 | 0.39609 |
| Source | 0.510443 |
| poor health | 0.397586 |
| PDF | 0.509057 |
| Number | 0.317536 |
| MB | 0.51792 |
| data table | 0.596326 |
| federal physical activity | 0.462433 |
| men | 0.464826 |
| KB | 0.322901 |
| Early release | 0.677206 |
|
| Tables | 0.321345 |
| guidelines | 0.319342 |
| deaths | 0.376941 |
| obesity | 0.318996 |
| health insurance coverage | 0.446644 |
| estimates | 0.408525 |
| figure | 0.397886 |
| Percent | 0.543893 |
| Health Interview Survey | 0.923257 |
| males | 0.318274 |
| high blood pressure | 0.456387 |
| U.S. Adults | 0.404008 |
| ages | 0.317503 |
| cigarettes | 0.319629 |
| leisure-time aerobic activity | 0.468864 |
| antihypertensive medication | 0.390772 |
|
CLICK HERE |