| 1215 |
Centers for Disease Control and Prevention |
Html |
en |
Keep Your Cool in Hot Weather | CDC Features |
Learn about heat-related illness and how to stay cool and safe in hot weather. |
| air-conditioned indoor location | 0.492283 |
| cool showers | 0.416036 |
| primary cooling device | 0.456829 |
| Personal factors | 0.395839 |
| extreme heat event | 0.461731 |
| heat-related illnesses | 0.492349 |
| poor circulation | 0.390499 |
| public facilities | 0.389511 |
| High humidity | 0.398497 |
| Limit outdoor activity | 0.454641 |
| early sign | 0.385009 |
| Schedule workouts | 0.383876 |
| extremely hot weather | 0.479372 |
| mental illness | 0.528789 |
| CDC course | 0.381485 |
| main things | 0.395839 |
| greatest risk | 0.38632 |
| water | 0.355136 |
| strenuous physical activities | 0.460602 |
| heat-related illness | 0.987236 |
| healthy people | 0.389382 |
| highest risk | 0.388783 |
| hot weather protect | 0.453884 |
| house hotter | 0.391689 |
| high temperatures | 0.400776 |
|
| air-conditioned buildings | 0.440908 |
| Muscle cramping | 0.389459 |
| air conditioning | 0.478398 |
| United States | 0.403083 |
| body’s ability | 0.389669 |
| heat-related deaths | 0.607637 |
| local health department | 0.46044 |
| extreme heat | 0.554936 |
| local news | 0.381995 |
| heart disease | 0.394117 |
| Pace activity | 0.385792 |
| light-colored clothing | 0.387383 |
| prescription drug | 0.39271 |
| following protective actions | 0.456267 |
| air-conditioned shelter | 0.435862 |
| chronic diseases | 0.390043 |
| safety updates | 0.38418 |
| protective factor | 0.384267 |
| people | 0.454065 |
| medical care | 0.380864 |
| neighbor | 0.340183 |
| young athletes | 0.377958 |
| teammate | 0.340092 |
| hot weather | 0.79557 |
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| 4470 |
Centers for Disease Control and Prevention |
Html |
en |
July 16, 2008: Investigation of Multistate Outbreak of E. coli O157:H7 Infections | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| advanced molecular testing | 0.509859 |
| CDC | 0.479544 |
| safe internal temperature | 0.495671 |
| raw ground beef | 0.681988 |
| State health | 0.467367 |
| raw meat | 0.598427 |
| Molecular fingerprinting testing | 0.510113 |
| harmful bacteria | 0.502598 |
| Nebraska Beef Ltd. | 0.683126 |
| FSIS virtual representative | 0.505978 |
| ground beef patties | 0.647911 |
| local health jurisdictions | 0.526294 |
| foodborne disease surveillance | 0.503282 |
| multi-state outbreak | 0.486539 |
| hemolytic-uremic syndrome | 0.464111 |
| beef manufacturing trimmings | 0.588754 |
| Kroger® retail stores | 0.511016 |
| Escherichia coli O157 | 0.542365 |
| multi-state case-control study | 0.512047 |
| 25th recall | 0.469527 |
| internal temperature | 0.499362 |
| separate cutting boards | 0.493082 |
| public health agencies | 0.611043 |
| Poultry Hotline 1-888-MPHotline | 0.508792 |
| good food safety | 0.505884 |
|
| toll-free USDA Meat | 0.514236 |
| Michigan Departments | 0.464045 |
| ground beef | 0.924996 |
| State departments | 0.46393 |
| E. coli | 0.622313 |
| outbreak strain | 0.47401 |
| ground beef samples | 0.617154 |
| Wash cutting boards | 0.498157 |
| New York | 0.463722 |
| H7 infections | 0.482147 |
| ground beef components | 0.609783 |
| soapy water | 0.504048 |
| food safety messages | 0.5065 |
| Kroger® Company stores | 0.508802 |
| Michigan | 0.482272 |
| food safety | 0.680359 |
| ground beef products | 0.687321 |
| national molecular subtyping | 0.510956 |
| United States Department | 0.61465 |
| AgricultureÂ’s Food Safety | 0.528739 |
| Kroger Consumer Hotline | 0.501026 |
| Ohio | 0.482249 |
| food safety questions | 0.507187 |
| molecular fingerprinting | 0.522637 |
|
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| 4982 |
Centers for Disease Control and Prevention |
Html |
en |
Information for Providers - Injection Safety |
This page is directed to all healthcare providers about the consequences caused by unsafe injection practices and provides. |
| single patient | 0.507162 |
| healthcare providers | 0.331575 |
| Absolute adherence | 0.364905 |
| bloodborne viruses | 0.400773 |
| hepatitis B virus | 0.388336 |
| Injection safety | 0.344779 |
| simple precautions | 0.335293 |
| Campaign page | 0.331884 |
| syringe | 0.22058 |
| licensing boards | 0.344223 |
| Disease Control | 0.375674 |
| medications | 0.3429 |
| single-use vials | 0.449672 |
| unfortunate events | 0.361292 |
| local health departments | 0.59953 |
| infection control practices | 0.930187 |
| medication vials | 0.710001 |
|
| Malpractice suits | 0.353224 |
| patient safety | 0.359639 |
| routine healthcare procedures | 0.601128 |
| basic infection control | 0.57719 |
| patients | 0.219688 |
| safe injection practices | 0.565154 |
| patient care | 0.367714 |
| common source | 0.318228 |
| possible exposure | 0.346414 |
| Recent investigations | 0.377119 |
| hepatitis c virus | 0.617908 |
| strict adherence | 0.393444 |
| multi-use vials | 0.437263 |
| proper infection control | 0.546429 |
| intravenous solution | 0.333174 |
| Additional protection | 0.327629 |
|
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| 5609 |
Centers for Disease Control and Prevention |
Html |
en |
n-Propyl acetate - 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 |
|
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| 7106 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0134 |
The Marine Resiliency Study (MRS) is a prospective study of factors predictive of posttraumatic stress disorder (PTSD) among approximately 2,600 Marines in 4 battalions deployed to Iraq or Afghanistan. |
| Marines self-reported TBI | 0.744448 |
| California San Diego | 0.702231 |
| previously deployed Marines | 0.827586 |
| PTSD prevalence | 0.700045 |
| mental health | 0.991518 |
| combat-related PTSD | 0.717599 |
| Diego Research Service | 0.697528 |
| Naval Health Research | 0.747805 |
| Clinician-Administered PTSD scale | 0.716873 |
| modifiable multisystem risk | 0.718236 |
| Health Services Research | 0.715654 |
| Veterans Health Administration | 0.70025 |
| major public health | 0.707691 |
| common data elements | 0.733017 |
| VA San Diego | 0.860205 |
| in-theater mental health | 0.70474 |
| ICD-9-CM mental health | 0.713966 |
| Marine Corps | 0.891668 |
| previously deployment Marines | 0.765682 |
| operational stress | 0.714799 |
| predeployment mental health | 0.710053 |
| future longitudinal data | 0.733529 |
| ) database. | 0.730503 |
| MRS Marines | 0.734013 |
|
| never-deployed Marines | 0.781609 |
| San Diego Medical | 0.741884 |
| Diego Medical Center | 0.740549 |
| Marine Resiliency Study | 0.767585 |
| Health Service Research | 0.703114 |
| military service members | 0.701011 |
| participant characteristics | 0.703034 |
| San Diego Research | 0.737949 |
| traumatic brain injury | 0.717066 |
| Marine Division | 0.710062 |
| Marines | 0.831827 |
| data collection | 0.768018 |
| posttraumatic stress disorder | 0.783201 |
| widely used PTSD | 0.717095 |
| mental health diagnosis | 0.769618 |
| mental health progression | 0.716538 |
| Health Center data | 0.722009 |
| deployment history | 0.704968 |
| longitudinal data analysis | 0.737151 |
| primary study hypothesis | 0.719681 |
| mental health component | 0.707834 |
| MRS team members | 0.697077 |
| Health Research Center | 0.758969 |
|
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| 7328 |
Centers for Disease Control and Prevention |
Html |
en |
Muscular Dystrophy - Treatments |
null |
| Regular medical check-ups | 0.54016 |
| assistive devices | 0.471854 |
| local services | 0.481996 |
| DBMD | 0.926706 |
| spine health | 0.480573 |
| treatments | 0.479582 |
| breathing difficulties | 0.477342 |
| steroid medications | 0.557363 |
| health issues | 0.540634 |
| muscular dystrophy | 0.97017 |
| muscles | 0.493922 |
| sports teams | 0.467842 |
| health care providers | 0.670485 |
| heart problems | 0.473729 |
| health care professionals | 0.64825 |
| heart muscle | 0.507243 |
| muscle health | 0.524748 |
| different parts | 0.481395 |
| muscle strength | 0.640801 |
| different types | 0.473038 |
| steroid medicines | 0.476468 |
| slower rate | 0.474848 |
| summer camps | 0.467819 |
| muscle damage | 0.506721 |
| problems | 0.486417 |
|
| wide range | 0.481937 |
| Becker muscular dystrophy | 0.691555 |
| heart health | 0.482329 |
| healthy breathing | 0.470191 |
| heart—can perform tests | 0.525552 |
| DBMD grow | 0.589345 |
| offer programs | 0.467873 |
| heart muscles | 0.485292 |
| trouble breathing | 0.481484 |
| daily activities | 0.472599 |
| mental health challenges | 0.531289 |
| Duchenne muscular dystrophy | 0.592265 |
| Bone problems | 0.470027 |
| DMD | 0.478546 |
| bone strength | 0.467932 |
| health care | 0.738321 |
| deep breath | 0.467061 |
| progressive muscle weakness | 0.594037 |
| clinical care | 0.487256 |
| muscle weakness | 0.785322 |
| care coordinator | 0.480331 |
| people | 0.783188 |
| certain path | 0.470805 |
| digestion issues | 0.468324 |
|
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| 8951 |
Centers for Disease Control and Prevention |
Html |
null |
U.S. Selected Practice Recommendations for Contraceptive Use, 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. |
|
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| 10733 |
Centers for Disease Control and Prevention |
Html |
en |
American Indian and Alaska Native death rates nearly 50 percent greater than those of non-Hispanic whites | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| authorizes new programs | 0.659097 |
| public health interventions | 0.86391 |
| CDC reports | 0.570113 |
| Correct reporting | 0.548023 |
| AI/AN persons | 0.687784 |
| Delivery Area counties | 0.666112 |
| Alaska Native | 0.56389 |
| aggressive public health | 0.707352 |
| health-harming social determinants | 0.664469 |
| recent time period | 0.6602 |
| IHS director | 0.542337 |
| contributing social factors | 0.64211 |
| health care quality | 0.700705 |
| American Journal | 0.56584 |
| Affordable Care Act | 0.646729 |
| American Indians | 0.535077 |
| Indian Health | 0.94996 |
| public health experts | 0.747842 |
| control health care | 0.701784 |
| early online section | 0.643566 |
| permanent reauthorization | 0.550555 |
| Previous studies | 0.550666 |
| death rates | 0.826488 |
| persistent challenge | 0.545701 |
| death records | 0.695377 |
|
| Health Services registration | 0.732555 |
| smoking prevalence | 0.536344 |
| new findings | 0.557163 |
| current law | 0.534259 |
| AI/AN people | 0.681616 |
| non-Hispanic whites | 0.745162 |
| public health | 0.908575 |
| health care | 0.755764 |
| race misclassification | 0.67916 |
| Fewer race misclassification | 0.678743 |
| CHSDA data | 0.544187 |
| Yvette Roubideaux | 0.542072 |
| Alaska Natives | 0.539957 |
| important research | 0.536567 |
| high incidence | 0.539443 |
| Contract Health Service | 0.728233 |
| problem drinking | 0.534034 |
| AI/AN death rates | 0.74181 |
| Death Index records | 0.705674 |
| Indian Health Service | 0.849954 |
| Indian Health Care | 0.732155 |
| Indian Health Services | 0.939388 |
| evidence-based public health | 0.716436 |
| health care law | 0.702733 |
|
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| 13226 |
Centers for Disease Control and Prevention |
Html |
en |
Alaska Public Health Nurses Address Alcohol | Features |CDC |
Talk to a health professional about drinking too much alcohol. |
| underage drinking | 0.296895 |
| sexually transmitted infection | 0.298168 |
| binge drinking | 0.502109 |
| social consequences | 0.265673 |
| integral prevention screen | 0.299741 |
| health nurses screen | 0.378992 |
| preventive service | 0.325709 |
| pregnant women | 0.265815 |
| health nursing clinics | 0.33972 |
| Preventive Services Task | 0.315956 |
| health professionals | 0.279592 |
| Public Health Nurse | 0.347369 |
| overall health | 0.286544 |
| liver disease | 0.264958 |
| health nursing practice | 0.322982 |
| work public health | 0.35081 |
| Arctic FASD RTC | 0.314605 |
| primary care settings | 0.310334 |
| alcohol screening | 0.441654 |
| risky drinking | 0.313871 |
| FASD Regional Training | 0.321651 |
| medical conditions | 0.267544 |
| wide range | 0.2678 |
| negative health | 0.293273 |
| Alaska PHN | 0.265144 |
|
| alcohol consumption | 0.415285 |
| adverse health effects | 0.350392 |
| excessive alcohol | 0.378465 |
| Arctic FASD | 0.325845 |
| alcohol sbi | 0.945033 |
| Alaska | 0.32537 |
| line nurses | 0.297423 |
| nurse’s reaction | 0.262254 |
| brief counseling works | 0.303344 |
| clinical preventive service | 0.318142 |
| public health nursing | 0.513137 |
| U.S. adults | 0.269371 |
| Alaska Section | 0.268695 |
| public health nurses | 0.874347 |
| Public Health Centers | 0.337724 |
| tuberculosis clinical visits | 0.299487 |
| alcohol spectrum disorders | 0.468448 |
| big issue | 0.313506 |
| Alaska Anchorage | 0.271596 |
| various cancers | 0.266356 |
| high blood pressure | 0.427771 |
| health habits | 0.27724 |
| Community Preventive Services | 0.31109 |
| evidence-based population strategies | 0.297949 |
|
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| 15518 |
Centers for Disease Control and Prevention |
Html |
en |
WHO South-East Asia Region (SEAR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO South-East Asia Region (SEAR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| avian influenza | 0.437869 |
| epidemiologic influenza surveillance | 0.540118 |
| national influenza centres | 0.447841 |
| Global Influenza Surveillance | 0.626783 |
| influenza virologic | 0.432684 |
| Disease Control | 0.366484 |
| cdc influenza | 0.492583 |
| CDC Influenza Division | 0.475645 |
| disease surveillance | 0.426376 |
| influenza vaccination campaign | 0.423461 |
| World Health Organization | 0.998984 |
| influenza surveillance systems | 0.598775 |
| seasonal influenza | 0.473359 |
| Influenza Data Management | 0.682841 |
| seasonal influenza vaccinations | 0.446619 |
| International Epidemiology | 0.286661 |
| India | 0.371261 |
| cooperative agreements | 0.332202 |
| New Delhi | 0.898161 |
| Influenza Division | 0.738369 |
| SEAR member states | 0.361035 |
| influenza surveillance | 0.673087 |
| influenza capacity building | 0.504348 |
| /national influenza laboratories | 0.440558 |
| data management training | 0.336956 |
|
| preventable disease surveillance | 0.358027 |
| influenza viral sequencing | 0.432055 |
| Novel Influenza Viruses | 0.420117 |
| influenza | 0.851111 |
| national influenza | 0.526918 |
| Vaccine Development | 0.281709 |
| influenza strains | 0.372609 |
| U.S. Centers | 0.366034 |
| south-east asia region | 0.477674 |
| National Influenza Centers | 0.466812 |
| CDC influenza grantees | 0.446745 |
| pandemic influenza | 0.441297 |
| member countries | 0.284118 |
| Asia Regional Office | 0.794117 |
| Response Team | 0.292305 |
| vaccine preventable disease | 0.423909 |
| influenza laboratory data | 0.460273 |
| influenza cooperative agreement | 0.459242 |
| national influenza pandemic | 0.4424 |
| Sri Lanka | 0.41486 |
| recent avian influenza | 0.431062 |
| South-East Asia | 0.949215 |
| member states | 0.390237 |
| CDC influenza grants | 0.456639 |
|
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