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Announcements: Older Americans Month - May 2014 |
Each May, the nation celebrates Older Americans Month to recognize older persons for their contributions and provide information to help them stay healthy and active. This year's focus is injury prevention, with the theme "Safe Today. Healthy Tomorrow. |
| endorsement | 0.39221 |
| nation | 0.332951 |
| Human Services | 0.63115 |
| focus | 0.332573 |
| Safe | 0.332496 |
| older persons | 0.619347 |
| U.S. Department | 0.624888 |
| MMWR HTML versions | 0.608152 |
| falls | 0.358226 |
| population result | 0.485439 |
| electronic PDF version | 0.595917 |
| safety | 0.328649 |
| residential fires | 0.482638 |
| deaths | 0.331573 |
| maltreatment | 0.346454 |
| Older Americans | 0.756261 |
| risk factors | 0.470605 |
| Contact GPO | 0.504843 |
| traumatic brain injury | 0.635833 |
| commercial sources | 0.473004 |
| sample articles | 0.473529 |
| current prices | 0.464864 |
| original paper copy | 0.606211 |
| older adult health | 0.739503 |
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| abuse | 0.329224 |
| U.S. Government Printing | 0.610767 |
| original MMWR paper | 0.601644 |
| Superintendent | 0.333976 |
| MMWR readers | 0.477183 |
| character translation | 0.463705 |
| theme | 0.332513 |
| widespread adoption | 0.482357 |
| injury prevention | 0.659961 |
| format errors | 0.467272 |
| higher risk | 0.474407 |
| effective injury prevention | 0.628331 |
| strategies | 0.32883 |
| typeset documents | 0.473959 |
| trade names | 0.473147 |
| paper copy | 0.619841 |
| official text | 0.46148 |
| non-CDC sites | 0.469916 |
| interventions | 0.331313 |
| nonfatal injuries | 0.562535 |
| older adults | 0.903948 |
| Unintentional injuries | 0.560354 |
| information | 0.391432 |
| electronic conversions | 0.461351 |
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Quality of systematic reviews of observational nontherapeutic studies. |
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| Sharma P. Meta-analysis | 0.344548 |
| coronary artery disease | 0.298316 |
| internal quality evaluation | 0.770174 |
| quality assessment | 0.304744 |
| Ann Intern Med | 0.319347 |
| observational nontherapeutic studies | 0.485776 |
| observational studies | 0.444455 |
| core clinical journals | 0.366682 |
| risk factors | 0.381838 |
| individual studies | 0.35963 |
| Whitehead A. Meta-analysis | 0.360672 |
| public health practice | 0.296353 |
| J. Meta-analysis | 0.363127 |
| systematic reviews differs | 0.399418 |
| cohort studies | 0.339073 |
| Biederman J. Meta-analysis | 0.349786 |
| Obstet Gynecol | 0.318621 |
| eligible systematic reviews | 0.395823 |
| included studies | 0.316862 |
| Jansen S. Quality | 0.297455 |
| nontherapeutic observational studies | 0.320997 |
| various quality criteria | 0.300364 |
| epidemiologic studies | 0.315411 |
| comprehensive internal quality | 0.316849 |
| abstracted quality criteria | 0.311433 |
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| Harvey J. Meta-analysis | 0.356698 |
| phenotype-specific meta-analysis | 0.330731 |
| studies | 0.572894 |
| formal internal quality | 0.540036 |
| public health | 0.474581 |
| interventional studies | 0.300686 |
| prospective cohort studies | 0.338148 |
| study flow | 0.304495 |
| studies examined levels | 0.298235 |
| meta-analysis | 0.580203 |
| Arch Intern Med | 0.609765 |
| systematic review | 0.533428 |
| risk factor | 0.352173 |
| high-quality systematic reviews | 0.42528 |
| internal quality evaluations | 0.404406 |
| methodologic quality | 0.304557 |
| quality criteria | 0.402732 |
| interventional therapeutic studies | 0.301484 |
| prospective studies | 0.31751 |
| et al | 0.538282 |
| multiple systematic reviews | 0.401 |
| coronary heart disease | 0.560466 |
| reviews abstracted sponsorship | 0.307049 |
| systematic reviews | 0.960267 |
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Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - March 2, 2012 |
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. |
| Cumulative total E. | 0.999824 |
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| 6772 |
Centers for Disease Control and Prevention |
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Global Health - Dr. Frieden visits Kenya |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| clean water | 0.639522 |
| significant challenges | 0.661899 |
| productive lives | 0.637284 |
| Laboratory Training Program | 0.746511 |
| previous post | 0.629796 |
| basic health services | 0.825254 |
| AIDS Relief | 0.631315 |
| urban slum | 0.667523 |
| adequate nutrition | 0.6496 |
| public health systems | 0.79731 |
| excellent value | 0.625981 |
| global health | 0.681149 |
| Emergency Plan | 0.637849 |
| Epidemic Intelligence Service | 0.745475 |
| highly vulnerable populations | 0.757302 |
| important information | 0.6436 |
| public health leaders | 0.797992 |
| rural western Kenya | 0.974813 |
| U.S. government agencies | 0.747986 |
| Kenya Medical Research | 0.928549 |
| ongoing challenges | 0.659056 |
| young teacher | 0.638799 |
| Demographic Surveillance | 0.637878 |
| FELTP model | 0.632425 |
| Poor health damages | 0.784796 |
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| health threat | 0.684369 |
| great strides | 0.642854 |
| International Emerging Infections | 0.757623 |
| outbreak investigations | 0.63572 |
| U.S. President | 0.634856 |
| privilege | 0.569529 |
| CDC-supported Kenya Field | 0.903324 |
| poor health | 0.787715 |
| burden | 0.59744 |
| disease spreads | 0.639182 |
| public health professionals | 0.797591 |
| extraordinary international work | 0.794423 |
| population-based surveillance project | 0.781383 |
| public health | 0.843641 |
| health ministries | 0.699096 |
| health care | 0.695939 |
| local partners | 0.633033 |
| heightened sense | 0.652495 |
| preventable causes | 0.663348 |
| U.S. Embassy | 0.638024 |
| interventions | 0.550916 |
| technical capabilities | 0.63204 |
| childhood illnesses | 0.639333 |
| urban Kenya | 0.811864 |
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Centers for Disease Control and Prevention |
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Bartonella - Resources |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
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| cat-scratch disease | 0.709602 |
| Raoult D. Recommendations | 0.548621 |
| Antimicrob Agents Chemother. | 0.544033 |
| cat-scratch disease hospitalizations | 0.615397 |
| Pediatr Infect Dis | 0.854428 |
| Regnery RL | 0.605769 |
| Ann Intern Med. | 0.571191 |
| Disease Control | 0.500163 |
| Dolan MJ | 0.592209 |
| Koehler JE | 0.582152 |
| Emerg Infect Dis. | 0.903657 |
| Rochalimaea henselae adenitis | 0.582227 |
| D. Bartonella quintana | 0.754381 |
| National Institutesof Health | 0.549826 |
| Infectious Diseases Society | 0.545439 |
| HIV Medicine Association | 0.545063 |
| Infect Dis Clin | 0.716094 |
| blind placebo-controlled evaluation | 0.58972 |
| Bartonella spp. transmission | 0.706669 |
| endemic Bartonella bacilliformis | 0.78108 |
| Clin Infect Dis. | 0.722616 |
| Bartonella infections | 0.686282 |
| Comprehensive diagnostic strategy | 0.562336 |
| Bibb W. Serological | 0.556775 |
| Freitas AD | 0.513045 |
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| mountain valley community | 0.582316 |
| E. Bartonellosis | 0.509535 |
| Bartonella henselae infections | 0.779179 |
| Bartonella species | 0.636551 |
| Vincent JM | 0.50642 |
| Drehner D. Syndrome | 0.57518 |
| United States | 0.5626 |
| Sisler CL | 0.508396 |
| Bartonella spp. | 0.730995 |
| Whitfeld MJ | 0.504519 |
| blood culture-negative endocarditis | 0.574453 |
| Andre RG | 0.498416 |
| Freitas BC | 0.520475 |
| prospective cohort study | 0.592573 |
| Bass JW | 0.513709 |
| uncommon human infections | 0.592802 |
| Opportunistic Infections | 0.517121 |
| Bartonella henselae infection | 0.754646 |
| scratch optic neuropathy | 0.579834 |
| Raoult D. | 0.564709 |
| Clin Microbiol. | 0.525385 |
| Infect Dis J. | 0.741976 |
| et al | 0.757997 |
| cat scratch disease | 0.742244 |
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Centers for Disease Control and Prevention |
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Chronic Fatigue Syndrome (CFS) - Managing Activities and Exercise |
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| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
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| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
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Centers for Disease Control and Prevention |
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Mycoplasma pneumoniae: Fast Facts |
Facts about Mycoplasma pneumoniae. |
| true size | 0.286187 |
| population-based active surveillance | 0.360066 |
| urban area | 0.277247 |
| health problem | 0.286089 |
| Michelow IC | 0.278929 |
| Pneumoniae Incidence Study | 0.510693 |
| Marston BJ | 0.291203 |
| macrolide treatment | 0.283872 |
| lungs | 0.21919 |
| gradual onset | 0.300177 |
| Plouffe JF | 0.301382 |
| Auwaerter PG | 0.278712 |
| possible carrier state | 0.34352 |
| Hackman BA | 0.28721 |
| Grayston JT | 0.29178 |
| Clin Infect Dis. | 0.362599 |
| small bacterium | 0.297934 |
| M. pneumoniae.1,3,4,5,6 | 0.293801 |
| Salstrom SJ | 0.287092 |
| Arch Intern Med. | 0.35298 |
| Kolczak MS | 0.283273 |
| Foy HM | 0.385608 |
| respiratory tract | 0.294802 |
| lung infections | 0.288426 |
| antibiotics | 0.217649 |
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| United States | 0.365366 |
| adults | 0.226333 |
| Lieberman D. | 0.284132 |
| clinical characteristics | 0.277347 |
| Lozano | 0.218054 |
| epidemiology | 0.230805 |
| different populations | 0.2799 |
| Kenny GE | 0.27909 |
| Porath | 0.223677 |
| person-to-person | 0.2239 |
| atypical bacterial pneumonia | 0.552507 |
| Lipman HB | 0.292104 |
| long incubation period | 0.372848 |
| cases | 0.241908 |
| common cause | 0.282024 |
| different symptoms | 0.295851 |
| Mundy LM | 0.284842 |
| community-acquired pneumonia | 0.985085 |
| likely underestimated.1,2 | 0.285891 |
| File Jr TM | 0.355731 |
| pneumonia-related hospitalization | 0.299196 |
| et al | 0.334795 |
| M. pneumoniae infection | 0.791562 |
| Breiman RF | 0.281415 |
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Centers for Disease Control and Prevention |
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Palm Card | Campaign Materials | We Can Stop HIV One Conversation | Act Against AIDS |
Promotional palmcard with an overview of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
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Centers for Disease Control and Prevention |
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Parents Are the Key to Safe Teen Drivers | I Pledge Video |
This one-minute video shows a number of moms and dads pledging to protect their teen drivers—the same way they pledged to keep them safe since the day they were born.
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/ParentsAreTheKey/socialmedia/video-ipledge.html |
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Centers for Disease Control and Prevention |
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Opportunistic Infections | Living with HIV | HIV Basics | HIV/AIDS | CDC |
HIV can weaken your immune system. Learn more about illnesses called opportunistic infections that you should be on the lookout for. |
| Infectious Disease Society | 0.425672 |
| United States | 0.245652 |
| healthy immune systems | 0.390779 |
| protozoan parasite Cryptosporidium | 0.227498 |
| bacteria Mycobacterium tuberculosis | 0.255626 |
| Pneumocystis carinii pneumonia | 0.255384 |
| body | 0.337831 |
| Invasive cervical cancer | 0.223948 |
| spinal cord disease | 0.226421 |
| opportunistic infections | 0.44522 |
| active TB coughs | 0.228881 |
| abdominal pain | 0.227265 |
| HIV levels | 0.315945 |
| sexually transmitted infections | 0.230171 |
| immune systems | 0.687827 |
| acute HIV infection | 0.484572 |
| OIs | 0.316227 |
| HIV medications | 0.362516 |
| lungs | 0.311018 |
| healthcare professionals | 0.282181 |
| HIV Medicine Association | 0.533198 |
| care provider | 0.293403 |
| National Institutes | 0.280262 |
| Opportunistic Infection pages | 0.406674 |
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| common OIs | 0.291872 |
| bacteria Streptococcus pneumoniae | 0.224381 |
| Mycobacterium kansasii | 0.239366 |
| weakened immune systems | 0.335468 |
| weight loss | 0.291905 |
| damaged immune systems | 0.478389 |
| brain | 0.234341 |
| CMV retinitis | 0.229583 |
| care provider perform | 0.228221 |
| people | 0.24813 |
| chronic HIV infection | 0.484928 |
| HIV treatment | 0.324688 |
| Mycobacterium avium complex | 0.245537 |
| lymph nodes | 0.290471 |
| progressive disseminated histoplasmosis | 0.227503 |
| contaminated food | 0.22385 |
| HIV-Infected Adults | 0.292567 |
| fungus Cryptococcus neoformans | 0.230751 |
| fungus Histoplasma capsulatum | 0.228776 |
| HIV Wasting | 0.276808 |
| specific OIs | 0.242651 |
| HIV infection | 0.931991 |
| lung infection | 0.289811 |
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