| 1065 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Assessment of Potential ZoonoticDisease Exposure and Illness Related to an Annual Bat Festival -Idanre, Nigeria |
Neil M. Vora1, Modupe Osinubi2, Ryan M. Wallace1, Abimbola Aman-Oloniyo3, Yemi H. |
| bat exposures | 0.734673 |
| Nipah virus infection | 0.789789 |
| infectious diseases | 0.895526 |
| Public health interventions | 0.795912 |
| Human Services | 0.773574 |
| Laboratory Training Program | 0.804191 |
| MMWR HTML versions | 0.787693 |
| U.S. Department | 0.775933 |
| bat hunters | 0.742789 |
| laboratory resources | 0.707294 |
| seed dispersal | 0.719153 |
| electronic PDF version | 0.78882 |
| high-consequence zoonoses | 0.724753 |
| pest control | 0.718102 |
| personal protective equipment | 0.782858 |
| habitat encroachment | 0.707671 |
| rabies vaccine | 0.815587 |
| Contact GPO | 0.718662 |
| protective equipment | 0.807691 |
| large distances | 0.721315 |
| elaborate rituals | 0.71045 |
| FELTP investigation | 0.709211 |
| original paper copy | 0.781932 |
| bat bites | 0.738277 |
|
| wildlife origins | 0.706437 |
| Nigerian Federal Ministry | 0.827699 |
| Marburg virus | 0.708581 |
| proactive approach | 0.704433 |
| original MMWR paper | 0.795094 |
| U.S. Government Printing | 0.789499 |
| Nigerian FELTP | 0.729691 |
| Additional data analyses | 0.792815 |
| health consequences | 0.720181 |
| vital ecologic services | 0.831464 |
| evolutionary diversity | 0.709466 |
| human populations | 0.723423 |
| MMWR readers | 0.706513 |
| acute respiratory syndrome | 0.78699 |
| novel pathogens | 0.7088 |
| Nigerian bats | 0.885209 |
| Rousettus aegyptiacus bats | 0.959534 |
| Nigerian Field Epidemiology | 0.824902 |
| Festival participants | 0.716728 |
| bat scratches | 0.853921 |
| food source | 0.724358 |
| gregarious roosting behaviors | 0.840153 |
| infectious disease | 0.718741 |
| zoonotic disease exposures | 0.822956 |
|
CLICK HERE |
| 5453 |
Centers for Disease Control and Prevention |
Html |
en |
Indium - 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 |
| 5794 |
Centers for Disease Control and Prevention |
Html |
en |
Camphor (synthetic) - 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 |
| 7432 |
Centers for Disease Control and Prevention |
Html |
en |
Collegiate Leaders in Environmental Health (CLEH) - 2013 Intern Profiles |
CDC Collegiate Leaders in Environmental Health - 2015 Intern Profiles |
| best public health | 0.419284 |
| Health Science | 0.376505 |
| CDC | 0.36071 |
| internship experience | 0.434141 |
| health inequities | 0.37255 |
| environmental health | 0.732578 |
| ORISE CLEH intern | 0.385411 |
| field trips | 0.377714 |
| bag lunch seminars | 0.369995 |
| future career path | 0.386828 |
| global health | 0.375039 |
| environmental health topics | 0.433172 |
| environmental odors | 0.362309 |
| broad environmental health | 0.421137 |
| summer CLEH experience | 0.405651 |
| public health officials | 0.42054 |
| Biology Major | 0.424874 |
| Environmental Studies | 0.360914 |
| subsequent transgenerational consequences | 0.379873 |
| African Studies Minors | 0.375842 |
| Biology Minor | 0.3775 |
| Stephen Austin University | 0.373642 |
| Friday field trips | 0.368751 |
| brown bag presentations | 0.364662 |
| Human Health | 0.375433 |
|
| Environmental Analysis | 0.361664 |
| environmental chemical exposures | 0.405688 |
| Carolina State University | 0.372464 |
| journal clubs | 0.38113 |
| favorite internship | 0.392001 |
| different career paths | 0.378984 |
| narrow occupational/engineering field | 0.368776 |
| summer | 0.421362 |
| public health community | 0.414641 |
| health implications | 0.373483 |
| public health world | 0.421657 |
| future public health | 0.435555 |
| public health work | 0.420151 |
| valuable career direction | 0.371278 |
| Cognitive Science Minor | 0.385201 |
| public speaking | 0.36036 |
| public health | 0.902276 |
| public health law | 0.43178 |
| weekly journal clubs | 0.376177 |
| brown bag | 0.374869 |
| significant personal growth | 0.372218 |
| Environmental Science Major | 0.507739 |
| career goals | 0.419623 |
| observed public health | 0.418883 |
|
CLICK HERE |
| 8098 |
Centers for Disease Control and Prevention |
Html |
en |
Percentage of Adults 18 Years or Older Who Often Felt Depressed,* by Sex and Age Group - National Health Interview Survey, United States, 2010-2011 |
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. |
| mmwrq@cdc.gov. | 0.804305 |
| endorsement | 0.68185 |
| Unknowns | 0.643897 |
| Alternate Text | 0.778321 |
| Human Services | 0.908481 |
| assistive technology | 0.815461 |
| noninstitutionalized population | 0.784579 |
| National Health Interview | 0.935478 |
| weekly feelings | 0.793686 |
| MMWR HTML versions | 0.911084 |
| U.S. Department | 0.898224 |
| electronic PDF version | 0.902979 |
| percentage | 0.632628 |
| e-mail | 0.670527 |
| household interviews | 0.787067 |
| Contact GPO | 0.804816 |
| denominators | 0.651872 |
| percentages | 0.64155 |
| commercial sources | 0.777819 |
| current prices | 0.769911 |
| original paper copy | 0.911131 |
| women | 0.72669 |
| United States | 0.783654 |
| U.S. Government Printing | 0.922698 |
|
| original MMWR paper | 0.905318 |
| age group | 0.783828 |
| Superintendent | 0.6344 |
| assistance | 0.635063 |
| title | 0.63479 |
| MMWR readers | 0.778582 |
| character translation | 0.769399 |
| prevalence | 0.683123 |
| times | 0.63496 |
| file | 0.635234 |
| Persons | 0.668765 |
| format errors | 0.769676 |
| subject line | 0.809139 |
| typeset documents | 0.776367 |
| trade names | 0.777947 |
| official text | 0.764828 |
| Estimates | 0.631822 |
| non-CDC sites | 0.773365 |
| report | 0.634767 |
| confidence interval | 0.799458 |
| information | 0.635258 |
| depression | 0.708383 |
| Accommodation | 0.634814 |
| electronic conversions | 0.764989 |
|
CLICK HERE |
| 9446 |
Centers for Disease Control and Prevention |
Html |
es |
Integración de la salud mental en el concepto de "hogar médico". |
null |
| Acad Child Adolesc | 0.327841 |
| Task Force | 0.324326 |
| Health Services Administration | 0.350465 |
| American Academy | 0.342082 |
| Walters EE | 0.327257 |
| mental health | 0.923058 |
| Comorbidity Survey Replication | 0.39971 |
| Health Care Access | 0.335281 |
| Health Policy Institute | 0.322559 |
| Arch Gen Psychiatry | 0.536705 |
| Am Acad Child | 0.327169 |
| Child Adolesc Psychiatry | 0.338376 |
| Matern Child Health | 0.326954 |
| National Comorbidity Survey | 0.393908 |
| Primary Care Collaborative | 0.328277 |
| mental health services | 0.585658 |
| mental illness | 0.419569 |
| cost-effective primary care | 0.326698 |
| New York State | 0.322803 |
| Estados Unidos | 0.323364 |
| Urban Health | 0.3217 |
| Health System Integrated | 0.326523 |
| Pincus HA | 0.35157 |
| primary care settings | 0.328956 |
| Behavioral Health | 0.32177 |
|
| Primary Care System | 0.328496 |
| mental disorders | 0.373701 |
| mental health system | 0.362313 |
| salud pública | 0.347079 |
| Nueva York | 0.456958 |
| patients with | 0.322466 |
| health care needs | 0.337638 |
| Mental Health Program | 0.359056 |
| Group Health Cooperative | 0.323056 |
| Family Health | 0.321873 |
| Kessler RC | 0.370673 |
| NYS OMH | 0.353056 |
| Psychiatr Serv | 0.362247 |
| Demler O | 0.327079 |
| health care | 0.419468 |
| New York | 0.333014 |
| individuals with | 0.323128 |
| Olfson M | 0.352398 |
| mental health competencies | 0.362269 |
| Improving mental health | 0.363439 |
| mental health care | 0.373656 |
| cherokee health systems | 0.346651 |
| primary care | 0.636909 |
| Higiene Mental | 0.344398 |
|
CLICK HERE |
| 9743 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Improving Fruit and Vegetable Consumption Among Low-Income Customers at Farmers Markets: Philly Food Bucks, Philadelphia, Pennsylvania, 2011 - CDC |
We evaluated whether Philly Food Bucks, a bonus incentive program at farmers markets, is associated with increased fruit and vegetable consumption and Supplemental Nutrition Assistance Program (SNAP) sales at farmers markets in low-income areas. |
| SNAP purchase | 0.449561 |
| farmers market | 0.512066 |
| farmers market access | 0.446141 |
| vegetable consumption | 0.595783 |
| Food Bucks intervention | 0.470745 |
| low-income neighborhoods | 0.458682 |
| Food Bucks redemptions | 0.458398 |
| market-level snap sales | 0.47412 |
| average philly food | 0.480083 |
| per-market SNAP sales | 0.449112 |
| Healthy Philly | 0.456629 |
| bonus incentive | 0.573004 |
| Food Bucks users | 0.592951 |
| Healthy Philly initiative | 0.453874 |
| Original SNAP purchases | 0.449065 |
| total annual SNAP | 0.461308 |
| farmers market staff | 0.455019 |
| Philly Food Bucks | 0.958139 |
| average SNAP sales | 0.486839 |
| Food Bucks redemption | 0.492429 |
| farmers market SNAP | 0.478509 |
| Bucks redemption data | 0.455561 |
| bonus incentive programs | 0.523476 |
| market SNAP sales | 0.470017 |
| non–Philly Food Bucks | 0.475304 |
|
| Food Bucks sales | 0.469547 |
| total Philly Food | 0.46734 |
| Food Bucks program | 0.614415 |
| low-income communities | 0.475883 |
| bonus incentive program | 0.491745 |
| Food Bucks participation | 0.45531 |
| Food Bucks distribution | 0.469602 |
| farmers markets | 0.62551 |
| new fruits | 0.501871 |
| SNAP sales | 0.648227 |
| annual SNAP sales | 0.472751 |
| Food Trust | 0.44763 |
| Food Bucks bonus | 0.470189 |
| pre–Philly Food Bucks | 0.473533 |
| Food Bucks data | 0.46409 |
| total SNAP sales | 0.453753 |
| farmers market customers | 0.447216 |
| SNAP purchases | 0.467918 |
| SNAP recipients | 0.457217 |
| Food Bucks period | 0.478967 |
| low-income areas | 0.485561 |
| Food Bucks implementation | 0.459931 |
| Food Bucks purchases | 0.461876 |
| market-level Philly Food | 0.467048 |
|
CLICK HERE |
| 10619 |
Centers for Disease Control and Prevention |
Html |
en |
The Model Aquatic Health Code (MAHC) |
null |
| MAHC-based model inspection | 0.930371 |
| localities | 0.299417 |
| email address | 0.679803 |
| policies | 0.252392 |
| States | 0.255515 |
| swimming | 0.256953 |
| public aquatic facilities | 0.860216 |
| design | 0.252805 |
| aquatics sector | 0.610521 |
| pool-chemical injuries | 0.556452 |
| construction | 0.252702 |
| cheat sheet | 0.599896 |
| MAHC guidelines | 0.530173 |
|
| state authorities | 0.591318 |
| pool codes | 0.547944 |
| form | 0.263195 |
| voluntary guidance document | 0.905136 |
| best practices | 0.565787 |
| science | 0.257807 |
| Aquatic Health Code | 0.940837 |
| water activities | 0.560034 |
| Submit | 0.268216 |
| risk | 0.254676 |
| outbreaks | 0.296914 |
| operation | 0.252599 |
|
CLICK HERE |
| 12521 |
Centers for Disease Control and Prevention |
Video |
en |
Los Angeles County, California -- Obesity |
Learn how Los Angeles County is working to reduce the burden of obesity in their community.
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://www.cdc.gov/CommunitiesPuttingPreventiontoWork/communities/profiles/both-ca_losangeles-county.htm |
| Obesity | 0.819729 |
| Los Angeles County | 0.968782 |
|
|
CLICK HERE |
| 15260 |
Centers for Disease Control and Prevention |
Html |
en |
Parents | Infant Immunizations Frequently Asked Questions | CDC |
Infant Immunizations FAQs (for parents) |
| vaccines | 0.975793 |
| United States | 0.674336 |
| immunization schedule | 0.42427 |
| vaccine protection | 0.393759 |
| preventable diseases | 0.374067 |
| infectious diseases | 0.432594 |
| immunity | 0.433465 |
| babies | 0.384519 |
| common side effects | 0.368403 |
| vaccine doses | 0.394925 |
| respiratory tract infections | 0.401173 |
| child care | 0.419679 |
| young age | 0.410152 |
| children | 0.749952 |
| severe allergic reaction | 0.415287 |
| immune systems | 0.369386 |
| long-standing vaccine safety | 0.471734 |
| vaccine preventable disease | 0.441021 |
| wet washcloth | 0.367774 |
| young children | 0.748074 |
| common questions | 0.419263 |
| better immunity | 0.375849 |
| natural chickenpox infection | 0.416025 |
|
| germs | 0.372893 |
| chickenpox vaccine | 0.41241 |
| injection site | 0.435263 |
| infants | 0.409258 |
| high enough immunity | 0.382956 |
| life-threatening diseases | 0.37904 |
| natural immunity | 0.412436 |
| common combination vaccines | 0.50555 |
| diseases | 0.847757 |
| breast milk | 0.414392 |
| grocery store | 0.420748 |
| whooping cough | 0.506906 |
| vaccine | 0.621583 |
| effects | 0.39165 |
| current information | 0.37343 |
| chickenpox | 0.418784 |
| safest vaccine supply | 0.47382 |
| baby | 0.436105 |
| risk | 0.407161 |
| vaccine-preventable diseases | 0.613458 |
| time | 0.387295 |
| vaccine schedule | 0.414876 |
| MMR vaccine | 0.445222 |
|
CLICK HERE |