Mmwr Surveillance Summaries最新文献

{"title":"Malaria Surveillance - United States, 2017.","authors":"Kimberly E Mace, Naomi W Lucchi, Kathrine R Tan","doi":"10.15585/mmwr.ss7002a1","DOIUrl":"10.15585/mmwr.ss7002a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Malaria in humans is caused by intraerythrocytic protozoa of the genus Plasmodium. These parasites are transmitted by the bite of an infective female Anopheles species mosquito. The majority of malaria infections in the United States occur among persons who have traveled to regions with ongoing malaria transmission. However, malaria is occasionally acquired by persons who have not traveled out of the country through exposure to infected blood products, congenital transmission, nosocomial exposure, or local mosquitoborne transmission. Malaria surveillance in the United States is conducted to provide information on its occurrence (e.g., temporal, geographic, and demographic), guide prevention and treatment recommendations for travelers and patients, and facilitate rapid transmission control measures if locally acquired cases are identified.</p><p><strong>Period covered: </strong>This report summarizes confirmed malaria cases in persons with onset of illness in 2017 and trends in previous years.</p><p><strong>Description of system: </strong>Malaria cases diagnosed by blood film microscopy, polymerase chain reaction, or rapid diagnostic tests are reported to local and state health departments through electronic laboratory reports or by health care providers or laboratory staff members. Case investigations are conducted by local and state health departments, and reports are transmitted to CDC through the National Malaria Surveillance System (NMSS), the National Notifiable Diseases Surveillance System (NNDSS), or direct CDC consultations. CDC reference laboratories provide diagnostic assistance and conduct antimalarial drug resistance marker testing on blood samples submitted by health care providers or local or state health departments. This report summarizes data from the integration of all cases from NMSS and NNDSS, CDC reference laboratory reports, and CDC clinical consultations.</p><p><strong>Results: </strong>CDC received reports of 2,161 confirmed malaria cases with onset of symptoms in 2017, including two congenital cases, three cryptic cases, and two cases acquired through blood transfusion. The number of malaria cases diagnosed in the United States has been increasing since the mid-1970s; in 2017, the number of cases reported was the highest in 45 years, surpassing the previous peak of 2,078 confirmed cases reported in 2016. Of the cases in 2017, a total of 1,819 (86.1%) were imported cases that originated from Africa; 1,216 (66.9%) of these came from West Africa. The overall proportion of imported cases originating from West Africa was greater in 2017 (57.6%) than in 2016 (51.6%). Among all cases, P. falciparum accounted for the majority of infections (1,523 [70.5%]), followed by P. vivax (216 [10.0%]), P. ovale (119 [5.5%]), and P. malariae (55 [2.6%]). Infections by two or more species accounted for 22 cases (1.0%). The infecting species was not reported or was undetermined in 226 cases (10.5%). CDC p","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 2","pages":"1-35"},"PeriodicalIF":24.9,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25492326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surveillance for West Nile Virus Disease - United States, 2009-2018.","authors":"Emily McDonald, Sarabeth Mathis, Stacey W Martin, J Erin Staples, Marc Fischer, Nicole P Lindsey","doi":"10.15585/mmwr.ss7001a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7001a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>West Nile virus (WNV) is an arthropodborne virus (arbovirus) in the family Flaviviridae and is the leading cause of domestically acquired arboviral disease in the contiguous United States. An estimated 70%-80% of WNV infections are asymptomatic. Symptomatic persons usually develop an acute systemic febrile illness. Less than 1% of infected persons develop neuroinvasive disease, which typically presents as encephalitis, meningitis, or acute flaccid paralysis.</p><p><strong>Reporting period: </strong>2009-2018.</p><p><strong>Description of system: </strong>WNV disease is a nationally notifiable condition with standard surveillance case definitions. State health departments report WNV cases to CDC through ArboNET, an electronic passive surveillance system. Variables collected include patient age, sex, race, ethnicity, county and state of residence, date of illness onset, clinical syndrome, hospitalization, and death.</p><p><strong>Results: </strong>During 2009-2018, a total of 21,869 confirmed or probable cases of WNV disease, including 12,835 (59%) WNV neuroinvasive disease cases, were reported to CDC from all 50 states, the District of Columbia, and Puerto Rico. A total of 89% of all WNV patients had illness onset during July-September. Neuroinvasive disease incidence and case-fatalities increased with increasing age, with the highest incidence (1.22 cases per 100,000 population) occurring among persons aged ≥70 years. Among neuroinvasive cases, hospitalization rates were >85% in all age groups but were highest among patients aged ≥70 years (98%). The national incidence of WNV neuroinvasive disease peaked in 2012 (0.92 cases per 100,000 population). Although national incidence was relatively stable during 2013-2018 (average annual incidence: 0.44; range: 0.40-0.51), state level incidence varied from year to year. During 2009-2018, the highest average annual incidence of neuroinvasive disease occurred in North Dakota (3.16 cases per 100,000 population), South Dakota (3.06), Nebraska (1.95), and Mississippi (1.17), and the largest number of total cases occurred in California (2,819), Texas (2,043), Illinois (728), and Arizona (632). Six counties located within the four states with the highest case counts accounted for 23% of all neuroinvasive disease cases nationally.</p><p><strong>Interpretation: </strong>Despite the recent stability in annual national incidence of neuroinvasive disease, peaks in activity were reported in different years for different regions of the country. Variations in vectors, avian amplifying hosts, human activity, and environmental factors make it difficult to predict future WNV disease incidence and outbreak locations.</p><p><strong>Public health action: </strong>WNV disease surveillance is important for detecting and monitoring seasonal epidemics and for identifying persons at increased risk for severe disease. Surveillance data can be used to inform prevention and control activities. ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 1","pages":"1-15"},"PeriodicalIF":24.9,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7949089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25429556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assisted Reproductive Technology Surveillance - United States, 2017.","authors":"Saswati Sunderam, Dmitry M Kissin, Yujia Zhang, Amy Jewett, Sheree L Boulet, Lee Warner, Charlan D Kroelinger, Wanda D Barfield","doi":"10.15585/mmwr.ss6909a1","DOIUrl":"10.15585/mmwr.ss6909a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with assisted reproductive technology (ART) was born in 1981, both the use of ART and the number of fertility clinics providing ART services have increased steadily in the United States. ART includes fertility treatments in which eggs or embryos are handled in the laboratory (i.e., in vitro fertilization [IVF] and related procedures). Although the majority of infants conceived through ART are singletons, women who undergo ART procedures are more likely than women who conceive naturally to have multiple-birth infants because multiple embryos may be transferred. Multiple births can pose substantial risks for both mothers and infants, including obstetric complications, preterm birth (<37 weeks), and low birthweight (<2,500 g). This report provides state-specific information for the United States (including the District of Columbia and Puerto Rico) on ART procedures performed in 2017 and compares birth outcomes that occurred in 2017 (resulting from ART procedures performed in 2016 and 2017) with outcomes for all infants born in the United States in 2017.</p><p><strong>Period covered: </strong>2017.</p><p><strong>Description of system: </strong>In 1995, CDC began collecting data on ART procedures performed in fertility clinics in the United States as mandated by the Fertility Clinic Success Rate and Certification Act of 1992 (Public Law 102-493 [October 24, 1992]). Data are collected through the National ART Surveillance System (NASS), a web-based data collection system developed by CDC. This report includes data from the 50 states, the District of Columbia, and Puerto Rico.</p><p><strong>Results: </strong>In 2017, a total of 196,454 ART procedures (range: 162 in Alaska to 24,179 in California) with at least one embryo transferred were performed in 448 U.S. fertility clinics and reported to CDC. These procedures resulted in 68,908 live-birth deliveries (range: 67 in Puerto Rico to 8,852 in California) and 78,052 infants born (range: 85 in Puerto Rico to 9,926 in California). Nationally, the number of ART procedures performed per 1 million women of reproductive age (15-44 years) was 3,040. ART use rates exceeded the national rate in 14 states (Connecticut, Delaware, District of Columbia, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Utah, Vermont, and Virginia). ART use exceeded 1.5 times the national rate in seven states (Connecticut, the District of Columbia, Illinois, Maryland, Massachusetts, New Jersey, and New York). Nationally, among all ART transfer procedures, the average number of embryos transferred increased slightly with increasing age (1.3 among women aged <35 years, 1.4 among women aged 35-37 years, and 1.5 among women aged >37 years). This year, single-embryo transfer (SET) rates among all embryo-transfer procedures are presented instead of elective single-embryo transfer procedures previously reported. Nationally,","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 9","pages":"1-20"},"PeriodicalIF":24.9,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38721924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surveillance for Violent Deaths - National Violent Death Reporting System, 34 States, Four California Counties, the District of Columbia, and Puerto Rico, 2017.","authors":"Emiko Petrosky, Allison Ertl, Kameron J Sheats, Rebecca Wilson, Carter J Betz, Janet M Blair","doi":"10.15585/mmwr.ss6908a1","DOIUrl":"10.15585/mmwr.ss6908a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2017, approximately 67,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 34 states, four California counties, the District of Columbia, and Puerto Rico in 2017. Results are reported by sex, age group, race/ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics.</p><p><strong>Period covered: </strong>2017.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths obtained from death certificates, coroner and medical examiner reports, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2017. Data were collected from 34 states (Alaska, Arizona, Colorado, Connecticut, Delaware, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Utah, Vermont, Virginia, Washington, West Virginia, and Wisconsin), four California counties (Los Angeles, Sacramento, Shasta, and Siskiyou), the District of Columbia, and Puerto Rico. NVDRS collates information for each death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident.</p><p><strong>Results: </strong>For 2017, NVDRS collected information on 45,141 fatal incidents involving 46,389 deaths that occurred in 34 states, four California counties, and the District of Columbia; in addition, information was collected on 961 fatal incidents involving 1,027 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 46,389 deaths in the 34 states, four California counties, and District of Columbia, the majority (63.5%) were suicides, followed by homicides (24.9%), deaths of undetermined intent (9.7%), legal intervention deaths (1.4%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm deaths (<1.0%). (The term \"legal intervention\" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.) Demographic patterns and circumstances varied by manner of death. The suicide rate was higher among males than among females and was highest among adults aged 45-64 years and ≥85 years and non-Hispanic American Indians/Alaska Natives and non-Hispanic Whites. The most common method of injury for suicide was a firearm among males and poisoning among females. Suicide was most often preceded by a mental health, intimate partner, or physical ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 8","pages":"1-37"},"PeriodicalIF":24.9,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38673237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abortion Surveillance - United States, 2018.","authors":"Katherine Kortsmit, Tara C Jatlaoui, Michele G Mandel, Jennifer A Reeves, Titilope Oduyebo, Emily Petersen, Maura K Whiteman","doi":"10.15585/mmwr.ss6907a1","DOIUrl":"10.15585/mmwr.ss6907a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and number of abortion-related deaths in the United States.</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies for 50 states, the District of Columbia, and New York City. For 2018, 49 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 48 reporting areas provided data each year during 2009-2018. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively. Abortion-related deaths from 2017 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).</p><p><strong>Results: </strong>A total of 619,591 abortions for 2018 were reported to CDC from 49 reporting areas. Among 48 reporting areas with data each year during 2009-2018, in 2018, a total of 614,820 abortions were reported, the abortion rate was 11.3 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 189 abortions per 1,000 live births. From 2017 to 2018, the total number of abortions and abortion rate increased 1% (from 609,095 total abortions and from 11.2 abortions per 1,000 women aged 15-44 years, respectively), and the abortion ratio increased 2% (from 185 abortions per 1,000 live births). From 2009 to 2018, the total number of reported abortions, abortion rate, and abortion ratio decreased 22% (from 786,621), 24% (from 14.9 abortions per 1,000 women aged 15-44 years), and 16% (from 224 abortions per 1,000 live births), respectively. In 2018, women in their 20s accounted for more than half of abortions (57.7%). In 2018 and during 2009-2018, women aged 20-24 and 25-29 years accounted for the highest percentages of abortions; in 2018, they accounted for 28.3% and 29.4% of abortions, respectively, and had the highest abortion rates (19.1 and 18.5 per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged <15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.6%, respectively) and had the lowest abortion rates (0.4 and 2.6 per 1,000 women aged <15 and ≥40 years, respectively). However, abortion ratios in 2018 and throughout 2009-2018 were highest among adolescents (aged ≤19 years) and lowest among women aged 25-39 years. Abortion rates decreased from 2009 to 2018 for all women, regardless of age. The decrease in abortion rate was highest among adolescents compared with women in any other age group. From 2009 to 2013, the abortion rates decreased for all age groups and from 2014 to 2018, the abortion rates decreased for all age groups, except for women aged 30-34 years and those aged ≥40 years. In addition, from 2017 to 2018, abortion rates did not change or decreased a","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 7","pages":"1-29"},"PeriodicalIF":24.9,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38304143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigations of Possible Multistate Outbreaks of Salmonella, Shiga Toxin-Producing Escherichia coli, and Listeria monocytogenes Infections - United States, 2016.","authors":"Katherine E Marshall, Thai-An Nguyen, Michael Ablan, Megin C Nichols, Misha P Robyn, Preethi Sundararaman, Laura Whitlock, Matthew E Wise, Michael A Jhung","doi":"10.15585/mmwr.ss6906a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6906a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Salmonella, Shiga toxin-producing Escherichia coli (STEC), and Listeria monocytogenes are the leading causes of multistate foodborne disease outbreaks in the United States. Responding to multistate outbreaks quickly and effectively and applying lessons learned about outbreak sources, modes of transmission, and risk factors for infection can prevent additional outbreak-associated illnesses and save lives. This report summarizes the investigations of multistate outbreaks and possible outbreaks of Salmonella, STEC, and L. monocytogenes infections coordinated by CDC during the 2016 reporting period.</p><p><strong>Period covered: </strong>2016. An investigation was considered to have occurred in 2016 if it began during 2016 and ended on or before March 31, 2017, or if it began before January 1, 2016, and ended during March 31, 2016-March 31, 2017.</p><p><strong>Description of system: </strong>CDC maintains a database of investigations of possible multistate foodborne and animal-contact outbreaks caused by Salmonella, STEC, and L. monocytogenes. Data were collected by local, state, and federal investigators during the detection, investigation and response, and control phases of the outbreak investigations. Additional data sources used for this report included PulseNet, the national molecular subtyping network based on isolates uploaded by local, state, and federal laboratories, and the Foodborne Disease Outbreak Surveillance System (FDOSS), which collects information from state, local, and territorial health departments and federal agencies about single-state and multistate foodborne disease outbreaks in the United States. Multistate outbreaks reported to FDOSS were linked using a unique outbreak identifier to obtain food category information when a confirmed or suspected food source was identified. Food categories were determined and assigned in FDOSS according to a classification scheme developed by CDC, the Food and Drug Administration (FDA), and the U.S. Department of Agriculture Food Safety and Inspection Service (FSIS) in the Interagency Food Safety Analytics Collaboration. A possible multistate outbreak was determined by expert judgment to be an outbreak if supporting data (e.g., temporal, geographic, demographic, dietary, travel, or food history) suggested a common source. A solved outbreak was an outbreak for which a specific kind of food or animal was implicated (i.e., confirmed or suspected) as the source. Outbreak-level variables included number of illnesses, hospitalizations, cases of hemolytic uremic syndrome (HUS), and deaths; the number of states with illnesses; date of isolation for the earliest and last cases; demographic data describing patients associated with a possible outbreak (e.g., age, sex, and state of residence); the types of data collected (i.e., epidemiologic, traceback, or laboratory); the outbreak source, mode of transmission, and exposure location; the name or brand of the source; ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 6","pages":"1-14"},"PeriodicalIF":24.9,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38699168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of CDC's Hemophilia Surveillance Program - Universal Data Collection (1998-2011) and Community Counts (2011-2019), United States.","authors":"Laura A Schieve, Vanessa R Byams, Brandi Dupervil, Meredith A Oakley, Connie H Miller, J Michael Soucie, Karon Abe, Christopher J Bean, W Craig Hooper","doi":"10.15585/mmwr.ss6905a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6905a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Hemophilia is an X-linked genetic disorder that primarily affects males and results in deficiencies in blood-clotting proteins. Hemophilia A is a deficiency in factor VIII, and hemophilia B is a deficiency in factor IX. Approximately one in 5,000 males are born with hemophilia, and hemophilia A is about four times as common as hemophilia B. Both disorders are characterized by spontaneous internal bleeding and excessive bleeding after injuries or surgery. Hemophilia can lead to repeated bleeding into the joints and associated chronic joint disease, neurologic damage, damage to other organ systems, and death. Although no precise national U.S. prevalence estimates for hemophilia exist because of the difficulty identifying cases among persons who receive care from various types of health care providers, two previous state-based studies estimated hemophilia prevalence at 13.4 and 19.4 per 100,000 males. In addition, these studies showed that 67% and 82% of persons with hemophilia received care in a federally funded hemophilia treatment center (HTC), and 86% and 94% of those with the most severe cases of hemophilia (i.e., those with the lowest levels of clotting factor activity in the circulating blood) received care in a federally funded HTC. As of January 2020, the United States had 144 HTCs.</p><p><strong>Period covered: </strong>1998-2019.</p><p><strong>Description of the system: </strong>Surveillance for hemophilia, which is a complex, chronic condition, is challenging because of its low prevalence, the difficulty in ascertaining cases uniformly, and the challenges in routinely characterizing and tracking associated health complications. Over time, two systems involving many stakeholders have been used to conduct ongoing hemophilia surveillance. During 1998-2011, CDC and the HTCs collaborated to establish the Universal Data Collection (UDC) surveillance system. The purposes of the UDC surveillance system were to monitor human immunodeficiency virus (HIV) and bloodborne viral hepatitis in persons with hemophilia, thereby tracking blood safety, and to track the prevalence of and trends in complications associated with hemophilia. HTC staff collected clinical data and blood specimens from UDC participants and submitted them to CDC. CDC tested specimens for viral hepatitis and HIV. In 2011, the UDC surveillance system was replaced by a new hemophilia surveillance system called Community Counts. CDC and the HTCs established Community Counts to expand laboratory testing and the collection of clinical data to better identify and track emerging health issues in persons with hemophilia.</p><p><strong>Results: </strong>This report is the first comprehensive summary of CDC's hemophilia surveillance program, which comprises both UDC and Community Counts. Data generated from these surveillance systems have been used in the development of public health and clinical guidelines and practices to improve the safety of U.S. blo","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 5","pages":"1-18"},"PeriodicalIF":24.9,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38340672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016.","authors":"Matthew J Maenner,&nbsp;Kelly A Shaw,&nbsp;Jon Baio,&nbsp;Anita Washington,&nbsp;Mary Patrick,&nbsp;Monica DiRienzo,&nbsp;Deborah L Christensen,&nbsp;Lisa D Wiggins,&nbsp;Sydney Pettygrove,&nbsp;Jennifer G Andrews,&nbsp;Maya Lopez,&nbsp;Allison Hudson,&nbsp;Thaer Baroud,&nbsp;Yvette Schwenk,&nbsp;Tiffany White,&nbsp;Cordelia Robinson Rosenberg,&nbsp;Li-Ching Lee,&nbsp;Rebecca A Harrington,&nbsp;Margaret Huston,&nbsp;Amy Hewitt,&nbsp;Amy Esler,&nbsp;Jennifer Hall-Lande,&nbsp;Jenny N Poynter,&nbsp;Libby Hallas-Muchow,&nbsp;John N Constantino,&nbsp;Robert T Fitzgerald,&nbsp;Walter Zahorodny,&nbsp;Josephine Shenouda,&nbsp;Julie L Daniels,&nbsp;Zachary Warren,&nbsp;Alison Vehorn,&nbsp;Angelica Salinas,&nbsp;Maureen S Durkin,&nbsp;Patricia M Dietz","doi":"10.15585/mmwr.ss6904a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6904a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2016.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years whose parents or guardians live in 11 ADDM Network sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). Surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by medical and educational service providers in the community. In the second phase, experienced clinicians who systematically review all abstracted information determine ASD case status. The case definition is based on ASD criteria described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.</p><p><strong>Results: </strong>For 2016, across all 11 sites, ASD prevalence was 18.5 per 1,000 (one in 54) children aged 8 years, and ASD was 4.3 times as prevalent among boys as among girls. ASD prevalence varied by site, ranging from 13.1 (Colorado) to 31.4 (New Jersey). Prevalence estimates were approximately identical for non-Hispanic white (white), non-Hispanic black (black), and Asian/Pacific Islander children (18.5, 18.3, and 17.9, respectively) but lower for Hispanic children (15.4). Among children with ASD for whom data on intellectual or cognitive functioning were available, 33% were classified as having intellectual disability (intelligence quotient [IQ] ≤70); this percentage was higher among girls than boys (39% versus 32%) and among black and Hispanic than white children (47%, 36%, and 27%, respectively) [corrected]. Black children with ASD were less likely to have a first evaluation by age 36 months than were white children with ASD (40% versus 45%). The overall median age at earliest known ASD diagnosis (51 months) was similar by sex and racial and ethnic groups; however, black children with IQ ≤70 had a later median age at ASD diagnosis than white children with IQ ≤70 (48 months versus 42 months).</p><p><strong>Interpretation: </strong>The prevalence of ASD varied considerably across sites and was higher than previous estimates since 2014. Although no overall difference in ASD prevalence between black and white children aged 8 years was observed, the disparities for black children persisted in early evaluation and diagnosis of ASD. Hispanic children also continue to be identified as having ASD less frequently than white or black children.</p><p><strong>Public health action: </strong>These findings highlight the variability in the evaluation and detection of ASD across communities and between sociodemographic groups. Continued efforts are needed for early and equitable identification of ASD and timely enrollment in services.</p>","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 4","pages":"1-12"},"PeriodicalIF":24.9,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37772201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016.","authors":"Kelly A Shaw,&nbsp;Matthew J Maenner,&nbsp;Jon Baio,&nbsp;Anita Washington,&nbsp;Deborah L Christensen,&nbsp;Lisa D Wiggins,&nbsp;Sydney Pettygrove,&nbsp;Jennifer G Andrews,&nbsp;Tiffany White,&nbsp;Cordelia Robinson Rosenberg,&nbsp;John N Constantino,&nbsp;Robert T Fitzgerald,&nbsp;Walter Zahorodny,&nbsp;Josephine Shenouda,&nbsp;Julie L Daniels,&nbsp;Angelica Salinas,&nbsp;Maureen S Durkin,&nbsp;Patricia M Dietz","doi":"10.15585/mmwr.ss6903a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6903a1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Problem/condition: &lt;/strong&gt;Autism spectrum disorder (ASD).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Period covered: &lt;/strong&gt;2016.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Description of system: &lt;/strong&gt;The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network, a subset of the overall ADDM Network, is an active surveillance program that estimates ASD prevalence and monitors early identification of ASD among children aged 4 years. Children included in surveillance year 2016 were born in 2012 and had a parent or guardian who lived in the surveillance area in Arizona, Colorado, Missouri, New Jersey, North Carolina, or Wisconsin, at any time during 2016. Children were identified from records of community sources including general pediatric health clinics, special education programs, and early intervention programs. Data from comprehensive evaluations performed by community professionals were abstracted and reviewed by trained clinicians using a standardized ASD surveillance case definition with criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In 2016, the overall ASD prevalence was 15.6 per 1,000 (one in 64) children aged 4 years for Early ADDM Network sites. Prevalence varied from 8.8 per 1,000 in Missouri to 25.3 per 1,000 in New Jersey. At every site, prevalence was higher among boys than among girls, with an overall male-to-female prevalence ratio of 3.5 (95% confidence interval [CI] = 3.1-4.1). Prevalence of ASD between non-Hispanic white (white) and non-Hispanic black (black) children was similar at each site (overall prevalence ratio: 0.9; 95% CI = 0.8-1.1). The prevalence of ASD using DSM-5 criteria was lower than the prevalence using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria at one of four sites that used criteria from both editions. Among sites where ≥60% of children aged 4 years had information about intellectual disability (intelligence quotient ≤70 or examiner's statement of intellectual disability documented in an evaluation), 53% of children with ASD had co-occurring intellectual disability. Of all children aged 4 years with ASD, 84% had a first evaluation at age ≤36 months and 71% of children who met the surveillance case definition had a previous ASD diagnosis from a community provider. Median age at first evaluation and diagnosis for this age group was 26 months and 33 months, respectively. Cumulative incidence of autism diagnoses received by age 48 months was higher for children aged 4 years than for those aged 8 years identified in Early ADDM Network surveillance areas in 2016.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Interpretation: &lt;/strong&gt;In 2016, the overall prevalence of ASD in the Early ADDM Network using DSM-5 criteria (15.6 per 1,000 children aged 4 years) was higher than the 2014 estimate using DSM-5 criteria (14.1 per 1,000). Children born in 2012 had a higher cumulative incidence of ASD diagnoses by age 48 months compared w","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 3","pages":"1-11"},"PeriodicalIF":24.9,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37773267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"National Toxic Substances Incidents Program - Nine States, 2010-2014.","authors":"Natalia Melnikova,&nbsp;Jennifer Wu,&nbsp;Patricia Ruiz,&nbsp;Maureen F Orr","doi":"10.15585/mmwr.ss6902a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6902a1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Problem/condition: &lt;/strong&gt;Every year in the United States, thousands of toxic substance incidents harm workers, first responders, and the public with the potential for catastrophic consequences. Surveillance data enable public health and safety professionals to understand the patterns and causes of these incidents, which can improve prevention efforts and preparation for future incidents.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Period covered: &lt;/strong&gt;2010-2014.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Description of system: &lt;/strong&gt;In 2010, the Agency for Toxic Substances and Disease Registry (ATSDR) initiated the National Toxic Substance Incidents Program (NTSIP), and it was retired in 2014. Nine state health departments participated in NTSIP surveillance: California, Louisiana, North Carolina, New York, Missouri, Oregon, Tennessee, Utah, and Wisconsin. The states conducted surveillance on acute toxic substance incidents, defined as an uncontrolled or illegal acute (lasting &lt;72 hours) release of any toxic substance including chemical, biologic, radiologic, and medical materials. Surveillance focused on associated morbidity and mortality and public health actions. This report presents an overview of NTSIP and summarizes incidents and injuries from the nine participating states during 2010-2014.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;During 2010-2014, participating state health departments reported 22,342 incidents, of which 13,529 (60.6%) met the case definition for acute toxic substance incidents, and included 6,635 injuries among 5,134 injured persons, of whom 190 died. A trend analysis of the three states participating the entire time showed a decrease in the number of incidents with injuries. NTSIP incidents were 1.8 times more likely and injured persons were 10 times more likely to be associated with fixed facilities than transportation. Natural gas, carbon monoxide, ammonia, and chemicals used in illegal methamphetamine production were the most frequent substances in fixed-facility incidents. Sodium and potassium hydroxide, hydrochloric acid, natural gas, and sulfuric acid were the most frequent substances in transportation-related incidents. Carbon monoxide was the most frequent substance in incidents with a large number of injured persons, and chemicals used in illegal methamphetamine production were the most frequent substance in incidents involving decontamination. Incidents most frequently occurred during normal business days (Monday through Friday) and hours (6:00 a.m.-5:59 p.m.) and warmer months (March-August). The transportation and warehousing industry sector had the largest number of incidents (4,476); however, most injured persons were injured in their private residences (1,141) or in the industry sectors of manufacturing (668), educational services (606), and real estate rental and leasing (425). The most frequently injured persons were members of the public (43.6%), including students. Injured first responders, particularly police, frequently were not wearing any chemic","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 2","pages":"1-10"},"PeriodicalIF":24.9,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37754483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}