| 5566 |
Centers for Disease Control and Prevention |
Html |
en |
Arsine - 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 |
| 5658 |
Centers for Disease Control and Prevention |
Html |
en |
Glycidol - 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 |
| 5957 |
Centers for Disease Control and Prevention |
Html |
en |
Naphthalene - 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 |
| 6784 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreak of Cryptosporidiosis Associated with a Firefighting Response - Indiana and Michigan, June 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. |
| abdominal cramps | 0.701337 |
| probable case | 0.57806 |
| clinical case | 0.769513 |
| Cryptosporidium spp | 0.612393 |
| stool specimens | 0.861776 |
| Michigan local health | 0.546228 |
| gastrointestinal illness | 0.744303 |
| fecal contamination | 0.587311 |
| intestinal fluid | 0.670781 |
| Cryptosporidium species | 0.614704 |
| Cryptosporidium oocysts | 0.611227 |
| 24-hour period | 0.552881 |
| Cryptosporidium parvum | 0.820028 |
| human stool specimens | 0.699656 |
| Cryptosporidium infection | 0.597715 |
| Michigan State University | 0.579704 |
| Zoonotic Infectious Diseases | 0.578829 |
| ill firefighters | 0.590799 |
| drinking water | 0.575316 |
| Community Health | 0.637508 |
| human stool specimen | 0.585015 |
| Joseph Community Health | 0.590451 |
| calf fecal specimens | 0.558599 |
| Cryptosporidium nucleic acid | 0.672011 |
|
| Local hydrant water | 0.551226 |
| Cryptosporidium | 0.996604 |
| calf fecal samples | 0.805683 |
| Michigan State | 0.594036 |
| pond water exposure | 0.641735 |
| Michigan State Univ | 0.589993 |
| positive laboratory confirmation | 0.569866 |
| confirmatory Cryptosporidium testing | 0.676983 |
| direct calf contact | 0.595125 |
| loose stools | 0.55105 |
| Community Health Agency | 0.590443 |
| water | 0.769943 |
| tissue samples | 0.548077 |
| firefighters | 0.779778 |
| thorough hygiene | 0.551169 |
| swimming pond | 0.63293 |
| Cryptosporidium organisms | 0.715804 |
| Indiana fire station | 0.559721 |
| swimming pond water | 0.592005 |
| pond water samples | 0.582623 |
| barn housing | 0.55611 |
| cryptosporidiosis | 0.555496 |
| pond water | 0.769199 |
|
CLICK HERE |
| 7535 |
Centers for Disease Control and Prevention |
Html |
en |
Arthritis - Interventions - Self-Management |
These physical activity programs are all approved evidence-based programs that are proven to improve the quality of life of people with arthritis. |
| trained leaders | 0.210187 |
| Arthritis Foundation Self-Help | 0.441628 |
| Spanish-speaking people | 0.2177 |
| Choices Better Health | 0.221743 |
| State health departments | 0.213611 |
| individualized self-management program | 0.461468 |
| 6-week interactive workshop | 0.242679 |
| Arthritis intervention | 0.280271 |
| Leadership Council website | 0.374406 |
| CDSMP program | 0.242363 |
| CDC-Arthritis Program funding | 0.233976 |
| Arthritis Toolkit | 0.370076 |
| health departments | 0.23033 |
| chronic disease management | 0.226075 |
| weekly 2-hour sessions | 0.223068 |
| self-management education program | 0.576465 |
| health care providers | 0.224764 |
| CDC Arthritis Program | 0.518152 |
| health care | 0.277123 |
| Self-Management Resource Center | 0.523715 |
| health professionals | 0.321226 |
| appropriate exercises | 0.244846 |
| Stanford University | 0.329258 |
| culturally appropriate manner | 0.25193 |
|
| Disease Self-Management Program | 0.62965 |
| arthritis management skills | 0.371913 |
| Arthritis Self-Help book | 0.358938 |
| chronic diseases | 0.353854 |
| new treatments | 0.322516 |
| Dr. Kate Lorig | 0.217752 |
| non-health professionals | 0.210161 |
| robust science base | 0.205082 |
| community setting | 0.204322 |
| self-management education | 0.57917 |
| self-management education intervention | 0.396585 |
| chronic health problems | 0.441493 |
| self-management education programs | 0.41162 |
| Arthritis website | 0.287394 |
| appropriate exercise | 0.269514 |
| Program funding | 0.249312 |
| su Salud | 0.228704 |
| Arthritis Self-Management Program | 0.901821 |
| Evidence-Based Leadership Council | 0.378084 |
| internationally recognized Chronic | 0.211186 |
| Chronic Disease Self-Management | 0.637599 |
| effective self-management education | 0.575801 |
| Better Choices Better | 0.307044 |
|
CLICK HERE |
| 7710 |
Centers for Disease Control and Prevention |
Html |
en |
Anisakiasis - Resources for Health Professionals |
Anisakiasis Resources for Health Professionals including diagnosis and treatment information. |
| United States | 0.547144 |
| trimesters | 0.437002 |
| absence | 0.429099 |
| enteric anisakiasis | 0.61707 |
| appendicitis | 0.437265 |
| gastric anisakiasis | 0.613806 |
| human milk | 0.530066 |
| disease progression | 0.539867 |
| substitute | 0.431676 |
| controlled studies | 0.527695 |
| pregnant women | 0.662924 |
| informational resource | 0.543261 |
| campaigns | 0.432674 |
| children | 0.518098 |
| Surgery | 0.427821 |
| serology | 0.436357 |
| pregnancy category | 0.665341 |
| mg | 0.42834 |
| animals | 0.445448 |
| Diagnosis | 0.42964 |
| C. Data | 0.543472 |
| caution | 0.429833 |
| intestinal obstruction | 0.570129 |
|
| World Health Organization | 0.65026 |
| cases | 0.427404 |
| congenital abnormalities | 0.548109 |
| worm | 0.507264 |
| albendazole | 0.913495 |
| professional judgment | 0.551339 |
| peritonitis | 0.436187 |
| Successful treatment | 0.541586 |
| available evidence | 0.532709 |
| potential risk | 0.523062 |
| diagnoses | 0.430726 |
| highly suggestive history | 0.677375 |
| dose | 0.427746 |
| extraintestinal infections | 0.551682 |
| Oral albendazole | 0.834735 |
| mass prevention | 0.775332 |
| adverse effects | 0.538563 |
| removal | 0.463157 |
| indication | 0.433134 |
| licensed health care | 0.659362 |
| potential benefit | 0.52386 |
| endoscope | 0.441992 |
| fetus | 0.46374 |
|
CLICK HERE |
| 7961 |
Centers for Disease Control and Prevention |
Html |
en |
Folic Acid Quiz - CDC - Features |
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 |
| 8520 |
Centers for Disease Control and Prevention |
Html |
en |
HAN Alert - Human Infections with Novel Influenza A H7N9 Viruses |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| influenza diagnostic test | 0.462014 |
| influenza diagnostic testing | 0.429839 |
| human influenza | 0.433587 |
| avian influenza | 0.930526 |
| United States | 0.353084 |
| novel influenza | 0.694993 |
| avian influenza viruses | 0.45942 |
| negative rapid influenza | 0.459532 |
| influenza A viruses | 0.459105 |
| novel avian influenza | 0.491065 |
| H7N9 virus infections | 0.320224 |
| local health department | 0.303558 |
| influenza virus infection | 0.493258 |
| novel influenza viruses | 0.467995 |
| influenza antiviral medications | 0.432104 |
| influenza illness onset | 0.416548 |
| positive test result | 0.298531 |
| pathogenic avian influenza | 0.530649 |
| possible novel influenza | 0.432117 |
| local health | 0.303789 |
| CDC avian influenza | 0.434624 |
| variant influenza | 0.469876 |
| virulent influenza viruses | 0.442492 |
|
| test result | 0.306521 |
| public health | 0.414184 |
| Variant Virus Cases | 0.305932 |
| influenza A virus | 0.518111 |
| virus infections | 0.324895 |
| virus subtypes | 0.30047 |
| unsubtypeable influenza | 0.3882 |
| typical influenza season | 0.423796 |
| cases | 0.350621 |
| avian influenza virus | 0.523184 |
| public health officials | 0.315503 |
| H7N9 avian influenza | 0.435002 |
| virus infection | 0.596873 |
| influenza viruses | 0.572082 |
| Suspected Influenza | 0.391884 |
| severe respiratory illness | 0.440767 |
| state public health | 0.345803 |
| appropriate infection control | 0.335233 |
| Chinese public health | 0.316418 |
| Enhanced Influenza Surveillance | 0.402617 |
| human infection | 0.35802 |
| public health laboratory | 0.300911 |
|
CLICK HERE |
| 8817 |
Centers for Disease Control and Prevention |
Html |
en |
Value of Pharmacy-Based Influenza Surveillance - Ontario,Canada, 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. |
| local health authority | 0.853296 |
| symptom onset | 0.680109 |
| antiviral dispensing data | 0.536284 |
| absolute prescription counts | 0.494188 |
| Public Health Agency | 0.54506 |
| dispensed prescription medications | 0.50384 |
| influenza laboratory confirmations | 0.562868 |
| public health authority | 0.495424 |
| Public Health Ontario | 0.493638 |
| public health authorities | 0.683908 |
| positive influenza laboratory | 0.607926 |
| weekly influenza | 0.57487 |
| pandemic influenza | 0.542484 |
| real-time prescription data | 0.497789 |
| antiviral prescription | 0.691621 |
| Ontario influenza | 0.537596 |
| dispensed prescriptions | 0.505479 |
| case onset trend | 0.591475 |
| influenza laboratory reports | 0.556198 |
| public health surveillance | 0.520624 |
| illness onset date | 0.528546 |
| prescription dispensing dates | 0.499782 |
| public health | 0.79595 |
| onset dates | 0.584602 |
|
| pharmacy prescription data | 0.514164 |
| real-time pharmacy-based surveillance | 0.4957 |
| influenza pandemic | 0.515294 |
| antiviral prescriptions | 0.648425 |
| Weekly antiviral prescriptions | 0.549286 |
| date laboratory results | 0.498165 |
| health authority level | 0.857474 |
| individual-level prescription data | 0.508704 |
| onset date | 0.553689 |
| Prescription medication data | 0.506373 |
| influenza surveillance strategy | 0.565483 |
| symptom onset dates | 0.532815 |
| local influenza activity | 0.57937 |
| influenza laboratory results | 0.568419 |
| influenza surveillance | 0.681666 |
| pharmacy-based surveillance | 0.597406 |
| laboratory reports | 0.55711 |
| prescription data | 0.529687 |
| case onset date | 0.531456 |
| antiviral prescription proportions | 0.553963 |
| onset trend line | 0.591464 |
| antiviral medications | 0.506941 |
| antiviral prescription trend | 0.608992 |
|
CLICK HERE |
| 11384 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Rural"Urban Differences in Objective and Subjective Measures of Physical Activity: Findings From the National Health and Nutrition Examination Survey (NHANES) 2003"2006 - CDC |
Lower levels of physical activity among rural relative to urban residents have been suggested as an important contributor to rural–urban health disparity; however, empirical evidence is sparse. |
| self-reported physical activity | 0.355495 |
| high school | 0.374398 |
| rural residents | 0.566102 |
| urban physical activity | 0.369911 |
| high-intensity long-bout activity | 0.353045 |
| physical activity threshold | 0.360942 |
| rural–urban differences | 0.437454 |
| physical activity measurement | 0.364857 |
| high-intensity physical activity | 0.393367 |
| physical activity data | 0.385302 |
| physical activity differences | 0.38909 |
| subjective measures | 0.386322 |
| micropolitan rural tracts | 0.383437 |
| household physical activity | 0.442481 |
| transportation physical activity | 0.368138 |
| nonmicropolitan rural tracts | 0.36593 |
| adult physical activity | 0.35995 |
| low-intensity physical activity | 0.396353 |
| rural–urban physical activity | 0.356885 |
| nonmicropolitan rural residents | 0.40167 |
| threshold physical activity | 0.368185 |
| micropolitan rural residents | 0.374437 |
| valid accelerometer data | 0.356012 |
| urban residents | 0.503778 |
|
| physical activity disparity | 0.35925 |
| accelerometer data | 0.365331 |
| objective physical activity | 0.520734 |
| total physical activity | 0.446094 |
| Physical Activity Guidelines | 0.359202 |
| bout length | 0.43307 |
| leisure physical activity | 0.370396 |
| Weekly physical activity | 0.358619 |
| nationally representative sample | 0.391776 |
| physical activity measure | 0.377474 |
| daily physical activity | 0.358329 |
| micropolitan residents | 0.368737 |
| objective–subjective physical activity | 0.367594 |
| household activity | 0.35693 |
| physical activity literature | 0.356224 |
| different physical activity | 0.361678 |
| rural–urban difference | 0.361062 |
| physical activity | 0.936674 |
| subjective physical activity | 0.508586 |
| leisure-time physical activity | 0.353194 |
| short-bout physical activity | 0.358924 |
| accelerometer-measured physical activity | 0.365265 |
| time | 0.357138 |
| physical activity measures | 0.437119 |
|
CLICK HERE |