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CDC Features - Vaccine Safety | CDC Features |
The United States has one of the best vaccine safety programs in the world. CDC and the U.S. Food and Drug Administration (FDA) are federally mandated to monitor the safety of vaccines. Scientists are constantly monitoring information from several sources for any clues that a particular vaccine may cause an adverse medical event, such as an allergic reaction. |
| injection sight | 0.299054 |
| media stories | 0.318731 |
| federal government | 0.303125 |
| results | 0.237915 |
| laboratory studies | 0.305456 |
| government agencies | 0.302388 |
| greater risk | 0.297074 |
| additional testing | 0.308213 |
| VSD | 0.225525 |
| Vaccine Adverse Event | 0.578537 |
| blog postings | 0.316371 |
| Slight discomfort | 0.308842 |
| effects | 0.283619 |
| scientists | 0.264462 |
| programs | 0.221283 |
| different vaccines | 0.554643 |
| important things | 0.310819 |
| Scientific data | 0.297955 |
| FDA | 0.238157 |
| vaccines | 0.944085 |
| United States | 0.511586 |
| adverse medical event | 0.451137 |
| Clinical trials | 0.309653 |
| Drug Administration | 0.307873 |
| multiple vaccines | 0.491968 |
|
| best vaccine safety | 0.614797 |
| quickest protection | 0.304459 |
| combination vaccines | 0.585585 |
| world | 0.221272 |
| responsibility | 0.23678 |
| systems | 0.234777 |
| local health departments | 0.390003 |
| VAERS | 0.322732 |
| allergic reaction | 0.318768 |
| safeguards | 0.222854 |
| multiple diseases | 0.295861 |
| vaccine safety monitoring | 0.523651 |
| animal studies | 0.305398 |
| medicine | 0.239051 |
| adverse events | 0.428231 |
| Vaccine Safety Datalink | 0.564911 |
| vaccine safety | 0.804926 |
| particular vaccine | 0.500697 |
| healthcare provider | 0.299878 |
| partners | 0.235021 |
| report | 0.246335 |
| combined MMRV vaccine | 0.518959 |
| information | 0.22119 |
| visit | 0.231563 |
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Centers for Disease Control and Prevention |
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Published Reports of Delayed Hemolytic Anemia AfterTreatment with Artesunate for Severe Malaria - Worldwide,2010-2012 |
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. |
| red blood cells | 0.456338 |
| hemolysis | 0.559048 |
| CDC Malaria Branch | 0.540567 |
| Materiel Development Activity | 0.465429 |
| reported parasitemia | 0.452963 |
| first-line treatment | 0.473955 |
| ring-infected erythrocyte surface | 0.452303 |
| unparasitized RESA-positive RBCs | 0.479808 |
| World Health Organization | 0.465405 |
| nonendemic countries | 0.459615 |
| artesunate | 0.568941 |
| mean cumulative dose | 0.503754 |
| patients | 0.604793 |
| severe anemia | 0.475981 |
| Paul M. Arguin | 0.456851 |
| packed RBCs | 0.463338 |
| mean hemoglobin nadir | 0.489566 |
| parasite clearance | 0.523007 |
| delayed hemolysis | 0.477318 |
| treatment | 0.538183 |
| delayed hemolytic events | 0.529144 |
| severe malaria | 0.914536 |
| United States | 0.774646 |
| mean highest parasitemia | 0.465792 |
|
| good manufacturing practice | 0.454522 |
| artesunate-treated RBCs | 0.459786 |
| delayed postartesunate treatment | 0.485835 |
| peer-reviewed medical literature | 0.462664 |
| manufacturing site assessment | 0.454143 |
| artesunate therapy | 0.553437 |
| severe malaria patients | 0.556323 |
| travel-associated severe malaria | 0.543841 |
| initial clinical improvement | 0.458298 |
| cases | 0.466489 |
| CDC IND protocol | 0.462256 |
| RBCs | 0.495752 |
| complete parasite clearance | 0.45911 |
| typical hemoglobin nadir | 0.475094 |
| artesunate IND protocol | 0.482146 |
| U.S. artesunate | 0.457063 |
| healthy RBCs | 0.457493 |
| additional case reports | 0.462224 |
| acute malaria | 0.499959 |
| glucose-6-phosphate dehydrogenase deficiency | 0.45421 |
| multiple hemoglobin measurements | 0.481867 |
| elevated lactate dehydrogenase | 0.460566 |
| delayed hemolytic anemia | 0.539312 |
| Melissa Briggs | 0.454573 |
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Centers for Disease Control and Prevention |
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Prevalencia de ciertos factores de riesgo de enfermedades crónicas no transmisibles en Jordania: Resultados de la Encuesta del 2007 sobre Vigilancia de Factores de Riesgo del Comportamiento en Jordania |
CDC - Wide Page example description goes here |
| Brown DW | 0.563983 |
| Zindah M | 0.557486 |
| Organización Mundial | 0.540234 |
| disease risk factors | 0.745965 |
| Walke H | 0.559141 |
| risk factor | 0.929172 |
| reportó tensión | 0.539732 |
| adultos jordanos | 0.575603 |
|
| Factor Surveillance Survey | 0.702162 |
| Hadaddin R | 0.557377 |
| Belbeisi A | 0.556087 |
| Jordan Behavioral Risk | 0.754267 |
| salud pública | 0.740807 |
| determinadas afecciones | 0.588898 |
| reportó hipertensión | 0.598322 |
| Chronic Dis | 0.58998 |
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Centers for Disease Control and Prevention |
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Consumption of Cigarettes and Combustible Tobacco — United States, 2000–2011 |
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. |
| combustible tobacco consumption | 0.687614 |
| capita cigarette consumption | 0.509817 |
| previous consumption estimates | 0.423275 |
| Michael A. Tynan | 0.378318 |
| combustible tobacco | 0.996044 |
| U.S. Department | 0.426535 |
| consumption patterns | 0.395785 |
| large cigar consumption | 0.451374 |
| youth smoking initiation | 0.410671 |
| tobacco excise tax | 0.580717 |
| capita consumption | 0.468939 |
| total consumption | 0.50355 |
| roll-your-own cigarette tobacco | 0.52567 |
| federal tobacco taxes | 0.424386 |
| loose tobacco products | 0.439907 |
| pipe tobacco consumption | 0.552937 |
| roll-your-own tobacco products | 0.454685 |
| roll-your-own tobacco | 0.504628 |
| small cigar consumption | 0.430113 |
| certain cigarette smokers | 0.412089 |
| small cigars | 0.409277 |
| loose tobacco | 0.561749 |
| tobacco industry reports | 0.434823 |
| cigarettes | 0.394002 |
| tobacco tax | 0.443942 |
|
| United States | 0.590762 |
| Annual cigarette consumption | 0.486992 |
| federal tobacco excise | 0.522576 |
| total combustible tobacco | 0.55041 |
| noncigarette combustible products | 0.429543 |
| total cigarette consumption | 0.464206 |
| cigarette equivalents | 0.482462 |
| federal excise tax | 0.39796 |
| large cigars | 0.466104 |
| excise tax data | 0.479054 |
| roll-your-own consumption | 0.421263 |
| cigarette consumption | 0.574106 |
| Tobacco manufacturing data | 0.421217 |
| shows consumption | 0.387916 |
| public health | 0.381665 |
| consumption estimates | 0.445681 |
| multiple tobacco products | 0.434676 |
| self-reported cigarette consumption | 0.44473 |
| loose tobacco tax | 0.437786 |
| consumption | 0.699723 |
| untaxed tobacco trade | 0.421391 |
| noncigarette combustible tobacco | 0.517443 |
| cigarette equivalent consumption | 0.457528 |
| pipe tobacco | 0.736239 |
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Centers for Disease Control and Prevention |
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Meningococcal | Technical and Clinical Info | CDC |
Meningococcal Disease: Technical and Clinical Information Chart and Resources on Meningococcal Vaccination. |
| small portion | 0.375984 |
| PNH | 0.314781 |
| stiff neck | 0.378971 |
| long-term disabilities | 0.366953 |
| case patients | 0.364867 |
| incomplete protection | 0.363431 |
| increased risk | 0.375259 |
| paroxysmal nocturnal hemoglobinuria | 0.422901 |
| adolescents | 0.326555 |
| Neisseria meningitidis | 0.391156 |
| incidence rate | 0.368874 |
| brain damage | 0.366203 |
| age groups | 0.410491 |
| eculizumab patients | 0.360297 |
| graph | 0.326357 |
| nervous system problems | 0.368153 |
| meningococcal disease | 0.949259 |
| highest risk | 0.370507 |
| late 1990s | 0.372462 |
| medical conditions | 0.416274 |
| young adults | 0.369709 |
| higher rates | 0.363317 |
| sepsis | 0.317388 |
| meningococcal meningitis cases | 0.680646 |
| invasive meningococcal disease | 0.616601 |
|
| United States | 0.441175 |
| throat secretions | 0.37286 |
| total cases | 0.370758 |
| prophylaxis | 0.335637 |
| hemolytic uremic syndrome | 0.422926 |
| meningococcal vaccines | 0.550869 |
| lengthy contact | 0.365167 |
| sub-Saharan Africa | 0.374303 |
| reportable condition | 0.366864 |
| following groups | 0.35975 |
| close contact | 0.370464 |
| meningococcal vaccination recommendations | 0.594263 |
| local health departments | 0.414449 |
| meningococcal disease surveillance | 0.618337 |
| highest rates | 0.372975 |
| people | 0.361834 |
| certain medical conditions | 0.413526 |
| rash | 0.316019 |
| meningitis belt | 0.375999 |
| Recent data | 0.36297 |
| close contacts | 0.427891 |
| meningococcal bacteria | 0.569786 |
| household | 0.324215 |
| multiple serogroups | 0.375539 |
|
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The 25th Anniversary of the Discovery of the Hepatitis CVirus: Looking Back to Look Forward | Public Health Grand Rounds 'CDC |
Pre-Exposure Prophylaxis for Prevention of HIV - CDC |
| Health Grand Rounds | 0.909643 |
| blood products | 0.494934 |
| STD | 0.415781 |
| CDC | 0.435582 |
| MPH | 0.46096 |
| San Francisco Department | 0.541103 |
| HCV-infected persons | 0.569007 |
| Phillip O. Coffin | 0.546216 |
| therapeutic advances | 0.568859 |
| Susan Laird | 0.478095 |
| blood borne infection | 0.60512 |
| spite | 0.420783 |
| successes | 0.416787 |
| MD | 0.46198 |
| Recent therapeutic advances | 0.562618 |
| National Center | 0.481336 |
| TB Prevention | 0.484668 |
| hepatitis C. | 0.561132 |
| isolation | 0.415251 |
| Viral Hepatitis | 0.592155 |
| Stanhope Bayne Jones | 0.55838 |
| Curative Era | 0.484581 |
| decrease | 0.419219 |
| Communications Director | 0.484563 |
| Public Health Grand | 0.573476 |
|
| David Thomas | 0.479884 |
| new screening guidelines | 0.553442 |
| new infections | 0.486583 |
| Public Health | 0.706895 |
| HCV infection | 0.774925 |
| United States | 0.488021 |
| progression | 0.415064 |
| virus | 0.429021 |
| Hopkins School | 0.477387 |
| individual outcomes | 0.483518 |
| Deputy Scientific Director | 0.553539 |
| pivotal role | 0.501905 |
| Public Health University | 0.554535 |
| testing methods | 0.483328 |
| implementation | 0.415197 |
| rates | 0.415124 |
| Thorpe | 0.41529 |
| p.m | 0.419634 |
| Medicine | 0.422323 |
| California San Francisco | 0.54071 |
| Infectious Diseases Johns | 0.542439 |
| Substance Use Research | 0.476354 |
| discovery | 0.415266 |
| John Iskander | 0.487673 |
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Centers for Disease Control and Prevention |
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Vaccines for Uninsured Children (349W x 169H) |
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Centers for Disease Control and Prevention |
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General Information | E.coli | CDC |
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| STEC O145 infections | 0.504469 |
| unpasteurized apple cider | 0.362062 |
| Escherichia coli | 0.466766 |
| limited public health | 0.362849 |
| non-O157 infections | 0.361052 |
| non-O157 STECs | 0.359767 |
| non-O157 STEC cause | 0.476963 |
| STEC bacteria | 0.451717 |
| STEC | 0.693482 |
| non-O157 STEC infections | 0.511925 |
| clinical laboratories | 0.354849 |
| verocytotoxic E. coli | 0.466807 |
| Shiga toxin-positive specimens | 0.360198 |
| commonly identified STEC | 0.482769 |
| potentially life-threatening complication | 0.354557 |
| public health laboratories | 0.359528 |
| United States | 0.361383 |
| public health purposes | 0.354047 |
| Pathogenic E. coli | 0.47902 |
| human intestinal tract | 0.363981 |
| non-O157 STEC infections. | 0.466739 |
| hemolytic uremic syndrome | 0.536282 |
| non-O157 STEC serogroups | 0.487978 |
| diverse group | 0.366095 |
|
| diarrheagenic E. coli | 0.479101 |
| infected people | 0.357264 |
| state health department | 0.355055 |
| non-O157 STEC | 0.668241 |
| STEC O157 infections | 0.510494 |
| E. coli | 0.98481 |
| public health | 0.450659 |
| toxin-producing E. coli | 0.465628 |
| illness | 0.368271 |
| STEC cause disease | 0.490721 |
| unpasteurized dairy products | 0.359727 |
| work exclusion policies | 0.3534 |
| STEC infections | 0.582047 |
| HUS | 0.376011 |
| health department | 0.357262 |
| Shiga toxins | 0.369232 |
| enterohemorrhagic E. coli | 0.466732 |
| STEC group | 0.456912 |
| Public health experts | 0.35612 |
| people | 0.369241 |
| urinary tract infections | 0.38239 |
| severe illness | 0.356231 |
| older laboratory practices | 0.354934 |
| public health laboratory | 0.354595 |
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Centers for Disease Control and Prevention |
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Contact Lens Health Week - August 24-28, 2015 |
August 24–28, 2015, marks the second annual Contact Lens Health Week. In collaboration with partners from clinical, public health, industry, and regulatory sectors, CDC is promoting healthy contact lens wear and care practices to reduce the risk for eye infections and complications associated with poor contact lens hygiene. |
| proper wear | 0.252547 |
| Human Services | 0.285323 |
| MMWR HTML versions | 0.287915 |
| U.S. Department | 0.283035 |
| electronic PDF version | 0.283863 |
| population-based estimate | 0.256763 |
| contact lenses | 0.313167 |
| proper care | 0.261894 |
| Additional information | 0.249316 |
| costly eye infections | 0.315842 |
| Contact Lens Health | 0.504461 |
| Contact GPO | 0.276082 |
| healthy contact lens | 0.446146 |
| commercial sources | 0.248819 |
| care practices | 0.259189 |
| current prices | 0.247044 |
| eye doctor | 0.256189 |
| regulatory sectors | 0.255251 |
| lens hygiene habits | 0.482367 |
| poor contact lens | 0.445431 |
| original paper copy | 0.28543 |
| annual Contact Lens | 0.45067 |
| significant proportion | 0.250421 |
| contact lens hygiene | 0.683114 |
|
| Proper contact lens | 0.418061 |
| contact lens wearers | 0.941133 |
| United States | 0.307708 |
| U.S. Government Printing | 0.289525 |
| original MMWR paper | 0.286341 |
| vision problems | 0.250608 |
| regular visits | 0.248318 |
| lens hygiene habit | 0.407335 |
| MMWR readers | 0.250964 |
| character translation | 0.246595 |
| safer contact lens | 0.43027 |
| contact lens wear | 0.515496 |
| public health | 0.260946 |
| format errors | 0.245891 |
| painful eye | 0.262192 |
| higher risk | 0.251024 |
| observance targets | 0.24957 |
| typeset documents | 0.248129 |
| trade names | 0.248849 |
| contact lens compliance | 0.416473 |
| official text | 0.246073 |
| U.S. population | 0.250165 |
| non-CDC sites | 0.247849 |
| eye infections | 0.402606 |
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Zika Virus |
Zika Virus - CDC Newsroom |
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CLICK HERE |