| 4503 |
Centers for Disease Control and Prevention |
Html |
en |
CDC A-Z Index - C |
CDC A-Z Index |
| Clostridium tetani Infection | 0.772546 |
| Cryptosporidium Infection | 0.731759 |
| Corynebacterium diphtheriae Infection | 0.798609 |
| Bartonella henselae Infection | 0.783804 |
| Corynebacterium diphtheria Infection | 0.763609 |
| Clinical Laboratory Improvement | 0.734592 |
| CDC WONDER | 0.673635 |
| Nairovirus Infection | 0.71222 |
| Health Worker Resources | 0.725806 |
| Candida Infection | 0.766026 |
| (Cytomegalovirus Infection) | 0.76405 |
| Chlamydia pneumoniae Infection | 0.902711 |
| Trypanosoma cruzi Infection | 0.772031 |
| Crimean-Congo hemorrhagic fever | 0.682347 |
| Cancer Control Program | 0.758149 |
| Chronic Disease Notes | 0.680336 |
| CDC Drug Service | 0.70757 |
| CDC Surveillance Strategy | 0.704825 |
| Cystoisospora Infection | 0.728265 |
| Colorectal Cancer Control | 0.773578 |
| Riot Control Agents | 0.700585 |
| infection | 0.961035 |
| CDC Organization | 0.674823 |
| Countermeasure Inventory Tracking | 0.67477 |
|
| Capillaria Infection | 0.7662 |
| Clostridium botulinum Infection | 0.771077 |
| Clostridium difficile Infection | 0.868098 |
| CDC TV | 0.676879 |
| Clonorchis Infection | 0.747318 |
| C. gattii cryptococcosis | 0.685402 |
| Chlamydia psittaci Infection | 0.855209 |
| Cytomegalovirus Infection | 0.764857 |
| Chronic Disease Indicators | 0.743004 |
| Chronic Disease Resources | 0.696993 |
| Cat Scratch Disease | 0.753766 |
| Chlamydia trachomatis Disease | 0.683973 |
| Search The CDC | 0.698962 |
| (Campylobacter Infection) | 0.792136 |
| Chronic Kidney Disease | 0.713515 |
| Vibrio cholerae Infection | 0.765964 |
| Cyclospora Infection | 0.731733 |
| Chronic Disease Prevention | 0.685662 |
| Chronic Wasting Disease | 0.680692 |
| Community Health Worker | 0.723218 |
| Chlamyophila pneumoniae Infection | 0.786428 |
| Classic Creutzfeldt-Jakob Disease | 0.785347 |
| urinary tract infection | 0.820477 |
| CDC A-Z Index | 0.771454 |
|
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Centers for Disease Control and Prevention |
Html |
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Seal Up! | Rodents |
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| nickel | 0.226415 |
| checking | 0.213593 |
| small holes | 0.81935 |
| trailer skirtings | 0.639743 |
| half dollar | 0.686582 |
| entry holes | 0.741885 |
| house | 0.256056 |
| rodents | 0.587121 |
| home | 0.254806 |
| garages | 0.221623 |
| large holes | 0.78457 |
| Fix gaps | 0.738877 |
|
| cement | 0.208513 |
| lath metal | 0.728338 |
| size | 0.256646 |
| caulk | 0.283913 |
| Outbuildings | 0.254392 |
| local hardware store | 0.904964 |
| steel wool | 0.992687 |
| Mice | 0.230663 |
| lath screen | 0.752412 |
| rats | 0.229588 |
| hardware cloth | 0.559968 |
|
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Centers for Disease Control and Prevention |
Html |
en |
o-Cresol - 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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| 6923 |
Centers for Disease Control and Prevention |
Html |
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Occupational Phosphine Gas Poisoning at Veterinary Hospitals from Dogs that Ingested Zinc Phosphide - Michigan, Iowa, and Washington, 2006-2011 |
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. |
| PH3 poisoning | 0.878139 |
| veterinary hospital | 0.876611 |
| PH3 toxicity | 0.596465 |
| Public Health | 0.490441 |
| American Veterinary Medical | 0.539942 |
| poisoning case definition | 0.452063 |
| adverse health effects | 0.443818 |
| different veterinary hospitals | 0.45474 |
| occupational PH3 poisoning | 0.767385 |
| PH3 inhalation | 0.647333 |
| veterinary staff members | 0.643445 |
| poisoning case | 0.465797 |
| female veterinary technician | 0.446249 |
| Washington veterinary hospital | 0.4706 |
| Washington veterinary association | 0.44874 |
| state poison control | 0.74047 |
| pet owners | 0.541463 |
| phosphine product precautions | 0.531259 |
| veterinary hospitals | 0.480021 |
| Community Health | 0.489147 |
| multiple poisoning symptoms | 0.481005 |
| Michigan veterinary hospital | 0.471409 |
| poisoning cases | 0.43663 |
| staff members | 0.959985 |
|
| Rebecca J. Tsai | 0.478448 |
| examination room | 0.459516 |
| unintentional rodenticide poisoning | 0.459397 |
| health | 0.537873 |
| female staff member | 0.437575 |
| Veterinary Medical Association | 0.538387 |
| Iowa veterinary hospital | 0.469875 |
| medical care | 0.542828 |
| Washington State Department | 0.660181 |
| veterinary hospital staff | 0.606654 |
| hospital staff members | 0.593459 |
| PH3 exposure | 0.619145 |
| snap traps | 0.474076 |
| case definition | 0.46545 |
| poison control center | 0.836542 |
| PH3) gas. | 0.60964 |
| alternative methods | 0.478196 |
| PH3 | 0.892691 |
| stomach acid | 0.473636 |
| hospital emergency department | 0.445177 |
| PH3 poisonings | 0.610756 |
| mole control | 0.472445 |
| dog | 0.440528 |
|
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Centers for Disease Control and Prevention |
Html |
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Section 301 of the Tobacco Control Act - Labeling, Recordkeeping, Records Inspection |
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| reasonable times | 0.301229 |
| officer | 0.240365 |
| express written consent | 0.35197 |
| Tobacco Control Act | 0.594818 |
| Codes. The Secretary | 0.35705 |
| smuggling | 0.266143 |
| section | 0.300005 |
| employee | 0.241925 |
| Records Inspection | 0.287726 |
| possible illicit marketing | 0.363404 |
| Indian country | 0.282165 |
| reasonable manner | 0.299484 |
| Indian tribe | 0.279201 |
| domestic commerce | 0.292977 |
| retail outlets | 0.289844 |
| Attorney General | 0.344004 |
| individual purchasers | 0.289099 |
| tobacco products | 0.91881 |
| manufacture | 0.250449 |
| appropriate credentials | 0.280138 |
| potential illicit trade | 0.523003 |
| person | 0.314175 |
| actual knowledge | 0.284091 |
| interstate commerce | 0.490634 |
|
| reasonable belief | 0.299695 |
| cigarettes | 0.239924 |
| Family Smoking Prevention | 0.562937 |
| paragraph | 0.254883 |
| United States | 0.743698 |
| Secretary | 0.520096 |
| records | 0.301045 |
| Requirement. Beginning | 0.297163 |
| written notice | 0.281656 |
| manufacturer | 0.296667 |
| distributor means | 0.277355 |
| financial records | 0.285944 |
| reasonable person | 0.304706 |
| introduction | 0.270957 |
| imports tobacco products | 0.548575 |
| Advertising Act | 0.298539 |
| Cosmetic Act | 0.297019 |
| effective date | 0.349655 |
| counterfeit product | 0.28798 |
| Federal Cigarette Labeling | 0.377353 |
| packaging | 0.238586 |
| Federal Food | 0.300394 |
| personal consumption | 0.286569 |
| regulations | 0.273989 |
|
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Centers for Disease Control and Prevention |
Html |
en |
CDC - Caregiving Activities - Aging |
Promoting the Health and Well-being of Caregivers for Older Adults |
| Risk Factor Surveillance | 0.97807 |
| prospective caregivers | 0.698024 |
| potentially smaller pool | 0.659128 |
| family member | 0.689271 |
| caregiving status | 0.654193 |
| Critical Issue Brief | 0.658674 |
| caregiver age | 0.651003 |
| Older American Indians | 0.656334 |
| Disease Control | 0.679729 |
| 10-item Caregiver Module | 0.788071 |
| care recipient | 0.62009 |
| BRFSS survey | 0.760287 |
| potential caregivers | 0.750934 |
| Communities Face Aging | 0.647087 |
| non-Indian caregivers | 0.753829 |
| Alaska Native Communities | 0.665326 |
| Indian family caregivers | 0.802602 |
| general U.S. population | 0.66458 |
| Public Health Road | 0.660552 |
| Chronic Disease Directors | 0.692549 |
| Fewer Caregivers | 0.684168 |
| long-term care services | 0.692606 |
| Caregiver Ratio Index | 0.730119 |
| M. Adult caregivers | 0.771423 |
| Behavioral Risk Factor | 0.978804 |
|
| Action Guide | 0.821835 |
| Chronic Disease | 0.756216 |
| state’s BRFSS | 0.616464 |
| Regional Caregiving Reports | 0.750167 |
| regular care | 0.64517 |
| Alzheimer’s disease | 0.626133 |
| Healthy Brain Initiative | 0.644394 |
| caregivers | 0.838097 |
| IHS Primary Care | 0.685012 |
| annual Behavioral Risk | 0.693409 |
| Native Adult Caregivers | 0.761225 |
| McGuire | 0.643282 |
| American Indian/Alaskan Native | 0.678382 |
| evidence-based caregiver support | 0.745226 |
| 50 states | 0.622923 |
| indian country | 0.649421 |
| traditional family value | 0.677376 |
| BRFSS Caregiving module | 0.793575 |
| lifelong care | 0.622611 |
| caregiver interventions | 0.660416 |
| adult day care | 0.628056 |
| 8-item Caregiving module | 0.775473 |
| Dementia Caregivers | 0.719227 |
| brfss caregiver module | 0.92245 |
|
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Centers for Disease Control and Prevention |
Html |
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Salmonella Enteritidis Infections Associated with FoodsPurchased from Mobile Lunch Trucks - Alberta, Canada, October2010-February 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. |
| Outbreak SE | 0.605111 |
| infected catering employees | 0.587025 |
| unlicensed food facilities | 0.579961 |
| public health interventions | 0.629673 |
| robust health department | 0.613551 |
| health department inspections | 0.612462 |
| phage type | 0.701605 |
| lunch trucks | 0.996685 |
| pork dumplings | 0.663155 |
| food-handling duties | 0.585518 |
| Public Health Agency | 0.618334 |
| Alberta Health Services | 0.805316 |
| Salmonella Enteritidis | 0.637046 |
| Patient food histories | 0.578336 |
| food samples | 0.598337 |
| laboratory-confirmed Salmonella Enteritidis | 0.57603 |
| public health department | 0.672647 |
| eggs | 0.609492 |
| Human SE outbreak | 0.683172 |
| lunch truck customer | 0.662534 |
| lunch truck | 0.807573 |
| Illness onset dates | 0.609553 |
| SE-contaminated eggs | 0.582583 |
| lunch truck suppliers | 0.656384 |
| cooked pork dumplings | 0.58537 |
|
| employees | 0.601162 |
| outbreak cases | 0.747226 |
| Alberta public health | 0.589856 |
| laboratory culture-confirmed SE | 0.596152 |
| local health department | 0.578836 |
| caterer | 0.60801 |
| human SE infections | 0.587084 |
| recent large SE | 0.584841 |
| food-handling training courses | 0.578927 |
| catering company | 0.607933 |
| infected food handlers | 0.577496 |
| lunch truck operators | 0.644278 |
| public health | 0.767468 |
| health department | 0.691475 |
| food items | 0.601336 |
| SE phage type | 0.637302 |
| food | 0.674581 |
| local public health | 0.637084 |
| food-handling employee training | 0.578977 |
| catering facility | 0.657561 |
| lunch truck food | 0.630597 |
| safe food-handling procedures | 0.590717 |
| previously cooked food | 0.579774 |
| lunch truck drivers | 0.612124 |
|
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Centers for Disease Control and Prevention |
Html |
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Case Count Maps | Escherichia coli O121 Infections Linked to Raw Clover Sprouts | May 2014 | E. coli |
Case Count Map
Multistate Outbreak of Shiga toxin-producing Escherichia coli O121 Infections Linked to Raw Clover Sprouts (Final Update) |
| Montana | 0.488623 |
| infection | 0.430669 |
| outbreak strains | 0.850638 |
| particular outbreak | 0.598187 |
| United States | 0.535446 |
| human illness | 0.551636 |
| CDC E. coli | 0.701593 |
| General Information web | 0.636118 |
| people | 0.429354 |
| Utah | 0.488406 |
|
| Washington | 0.488146 |
| important cause | 0.550915 |
| Michigan | 0.48884 |
| number | 0.489652 |
| total | 0.491357 |
| ill persons | 0.758599 |
| risk | 0.429274 |
| page | 0.429074 |
| E. coli | 0.999078 |
|
CLICK HERE |
| 11672 |
Centers for Disease Control and Prevention |
Html |
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CDC Telebriefing: CDC and Texas Health Department Confirm First Ebola Case Diagnosed in the U.S. | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| country | 0.481539 |
| Dr. Lakey | 0.516901 |
| public health interventions | 0.535928 |
| Dr. Goodman | 0.563001 |
| health Presbyterian hospital | 0.483319 |
| Good afternoon | 0.534641 |
| Ebola media briefing | 0.582467 |
| direct contact | 0.499344 |
| contact | 0.53712 |
| family members | 0.637814 |
| individual | 0.498783 |
| contact tracing | 0.480072 |
| tom frieden | 0.964616 |
| Texas health Presbyterian | 0.482461 |
| edward goodman | 0.548662 |
| symptoms | 0.493976 |
| Texas | 0.537642 |
| zachary thompson | 0.481834 |
| Ebola | 0.847668 |
| county health department | 0.482792 |
| Ebola epidemic | 0.498143 |
| United States | 0.532392 |
| possible Ebola | 0.50658 |
| fever | 0.48034 |
| infection control | 0.522891 |
|
| core public health | 0.600982 |
| Ebola cases | 0.495478 |
| local health department | 0.480124 |
| patient | 0.682126 |
| state health department | 0.481479 |
| Dr. Tom Frieden | 0.563292 |
| hospital | 0.539255 |
| Texas health Dallas | 0.488512 |
| public health | 0.8361 |
| Texas public health | 0.492171 |
| hospital public health | 0.484852 |
| question | 0.561847 |
| CDC Ebola media | 0.555545 |
| health department | 0.569722 |
| human services | 0.502348 |
| people | 0.584454 |
| Ebola patient | 0.514879 |
| barbara reynolds | 0.587919 |
| Ebola testing | 0.506684 |
| West Africa | 0.487902 |
| state health services | 0.524234 |
| information | 0.498834 |
| Dr. Frieden | 0.683845 |
| contacts | 0.508201 |
|
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Guideline Resources |
null |
| effectiveness | 0.363801 |
| chronic pain | 0.915509 |
| patient safety | 0.545724 |
| patients | 0.3458 |
| resources | 0.346371 |
| pain management | 0.677739 |
| recommendations | 0.358542 |
| long-term opioid therapy | 0.97906 |
| CDC Guideline | 0.671256 |
|
| opioid use disorder | 0.766905 |
| risks | 0.432304 |
| Prescribing Opioids | 0.730612 |
| treatment options | 0.547832 |
| pain treatment | 0.651382 |
| prescription opioids | 0.728311 |
| appropriate prescribing | 0.568602 |
| communication | 0.346029 |
|
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