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1.
Med Ref Serv Q ; 40(3): 329-336, 2021.
Article in English | MEDLINE | ID: covidwho-1397994

ABSTRACT

The explosive growth of digital information in recent years has amplified the information overload experienced by today's health-care professionals. In particular, the wide variety of unstructured text makes it difficult for researchers to find meaningful data without spending a considerable amount of time reading. Text mining can be used to facilitate better discoverability and analysis, and aid researchers in identifying critical trends and connections. This column will introduce key text-mining terms, recent use cases of biomedical text mining, and current applications for this technology in medical libraries.


Subject(s)
Biomedical Research/trends , COVID-19 , Data Collection/trends , Data Mining/trends , Research Report/trends , Biomedical Research/statistics & numerical data , Data Collection/statistics & numerical data , Data Mining/statistics & numerical data , Forecasting , Humans
3.
Am J Public Health ; 111(S2): S141-S148, 2021 07.
Article in English | MEDLINE | ID: covidwho-1334834

ABSTRACT

OBJECTIVES: To assess the quality of population-level US mortality data in the US Census Bureau Numerical Identification file (Numident) and describe the details of the mortality information as well as the novel person-level linkages available when using the Census Numident. METHODS: We compared all-cause mortality in the Census Numident to published vital statistics from the Centers for Disease Control and Prevention. We provide detailed information on the linkage of the Census Numident to other Census Bureau survey, administrative, and economic data. RESULTS: Death counts in the Census Numident are similar to those from published mortality vital statistics. Yearly comparisons show that the Census Numident captures more deaths since 1997, and coverage is slightly lower going back in time. Weekly estimates show similar trends from both data sets. CONCLUSIONS: The Census Numident is a high-quality and timely source of data to study all-cause mortality. The Census Bureau makes available a vast and rich set of restricted-use, individual-level data linked to the Census Numident for researchers to use. PUBLIC HEALTH IMPLICATIONS: The Census Numident linked to data available from the Census Bureau provides infrastructure for doing evidence-based public health policy research on mortality.


Subject(s)
Cause of Death/trends , Censuses , Centers for Disease Control and Prevention, U.S./statistics & numerical data , Data Collection/methods , Data Collection/statistics & numerical data , Mortality/trends , Vital Statistics , Forecasting , Humans , United States
4.
PLoS One ; 16(6): e0253154, 2021.
Article in English | MEDLINE | ID: covidwho-1278187

ABSTRACT

BACKGROUND: Cohorts of hospitalized COVID-19 patients have been studied in several countries since the beginning of the pandemic. So far, there is no complete survey of older patients in a German district that includes both outpatients and inpatients. In this retrospective observational cohort study, we aimed to investigate risk factors, mortality, and functional outcomes of all patients with COVID-19 aged 70 and older living in the district of Tübingen in the southwest of Germany. METHODS: We retrospectively analysed all 256 patients who tested positive for SARS-CoV-2 in one of the earliest affected German districts during the first wave of the disease from February to April 2020. To ensure inclusion of all infected patients, we analysed reported data from the public health department as well as the results of a comprehensive screening intervention in all nursing homes of the district (n = 1169). Furthermore, we examined clinical data of all hospitalized patients with COVID-19 (n = 109). RESULTS: The all-cause mortality was 18%. Screening in nursing homes showed a point-prevalence of 4.6%. 39% of residents showed no COVID-specific symptoms according to the official definition at that time. The most important predictors of mortality were the need for inpatient treatment (odds ratio (OR): 3.95 [95%-confidence interval (CI): 2.00-7.86], p<0.001) and care needs before infection (non-hospitalized patients: OR: 3.79 [95%-CI: 1.01-14.27], p = 0.037, hospitalized patients: OR: 2.89 [95%-CI 1.21-6.92], p = 0.015). Newly emerged care needs were a relevant complication of COVID-19: 27% of previously self-sufficient patients who survived the disease were not able to return to their home environment after discharge from the hospital. CONCLUSION: Our findings demonstrate the importance of a differentiated view of risk groups and long-term effects within the older population. These findings should be included in the political and social debate during the ongoing pandemic to evaluate the true effect of COVID-19 on healthcare systems and individual functional status.


Subject(s)
COVID-19/prevention & control , Hospitalization/statistics & numerical data , Inpatients/statistics & numerical data , Nursing Homes/statistics & numerical data , Outpatients/statistics & numerical data , SARS-CoV-2/isolation & purification , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/virology , Data Collection/methods , Data Collection/statistics & numerical data , Female , Germany/epidemiology , Humans , Male , Pandemics , Prevalence , Retrospective Studies , Risk Factors , SARS-CoV-2/physiology
6.
Int J Behav Nutr Phys Act ; 18(1): 40, 2021 03 17.
Article in English | MEDLINE | ID: covidwho-1140489

ABSTRACT

BACKGROUND: COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. METHODS: From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A 'sharp' regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. RESULTS: Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an 'at risk' body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an 'at risk' body composition recovered step counts at a slower pace after the reopening. CONCLUSIONS: Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic.


Subject(s)
COVID-19/prevention & control , Data Collection/statistics & numerical data , Exercise , Fitness Trackers , Mobile Applications , Sedentary Behavior , Adult , China/epidemiology , Communicable Disease Control/methods , Female , Humans , Male , Middle Aged , SARS-CoV-2 , Smartphone
8.
Rev Paul Pediatr ; 39: e2020267, 2020.
Article in English, Portuguese | MEDLINE | ID: covidwho-910275

ABSTRACT

OBJECTIVE: Social isolation is currently identified as the best way to prevent the infection by the new coronavirus. However, for some social groups, such as children and adolescents, this measure carries a contradiction: the home, which should be the safest place for them, is also a frequent environment of a sad aggravation: domestic violence. This study aims to evaluate the notifications of interpersonal/self-inflicted violence available in the Information System for Notifiable Diseases in the State of Santa Catarina (southern Brazil), for the juvenile age group, before and during the new coronavirus pandemics. METHODS: Cross-sectional, descriptive study of violence against children and adolescents (from 0 to 19 years) notified by health professionals by completing and entering the occurrence in the Information System for Notifiable Diseases of the State of Santa Catarina in 11 weeks in which the social isolation measure was instituted as mandatory, comparing with the same period before this measure. RESULTS: During the study period, 136 municipalities in Santa Catarina made 1,851 notifications. There was a decrease of 55.3% of them in the isolation period, and the difficulties encountered in seeking protection and assistance institutions were listed. CONCLUSIONS: The society needs to be aware of possible cases of violence in the children and adolescent population. It is important to provide accessible, effective, and safe ways for complaints and notifications, as well as a quick response to the cases, aiming at protecting victims and minimizing damages to prevent the perpetuation of the violence.


Subject(s)
Child Abuse , Child Welfare , Coronavirus Infections/epidemiology , Domestic Violence , Pneumonia, Viral/epidemiology , Adolescent , Adolescent Health/trends , Betacoronavirus , Brazil/epidemiology , COVID-19 , Child , Child Abuse/prevention & control , Child Abuse/statistics & numerical data , Child Health/trends , Cross-Sectional Studies , Data Collection/methods , Data Collection/statistics & numerical data , Domestic Violence/prevention & control , Domestic Violence/trends , Female , Humans , Male , Needs Assessment , Pandemics , SARS-CoV-2
10.
Cien Saude Colet ; 25(suppl 2): 4211-4224, 2020 Oct.
Article in Portuguese, English | MEDLINE | ID: covidwho-836000

ABSTRACT

This study discusses to what extent the inclusion, or not, of the race/color variable in epidemiological analysis of the COVID-19 pandemic can work as an external manifestation of necropolitics and as a producer of health inequities. We conducted a literature review on 09 articles, and on Scientific Electronic Library, PubMed and Virtual Health Library databases. We also conducted a documental analysis on 27 epidemiological reports from all the federal states and the Federal District of Brazil. We did not see much information regarding race/color, which can be interpreted as an intentional omission in order to hide those who the epidemics affects the most. The denial of basic and fundamental rights is the element that characterizes the larger racist structure of Brazil's COVID-19 policies.


Com o objetivo de discutir em que medida a inclusão ou não da variável raça/cor nas análises epidemiológicas da pandemia da COVID-19 manifesta-se como mecanismo de efetivação da necropolítica e como produtor de iniquidades (injustas e evitáveis) em saúde foi realizada uma revisão bibliográfica a partir da revisão da literatura científica nas bases de dados Scientific Eletronic Library, PubMed e Biblioteca Virtual de Saúde incluindo 09 artigos e análise documental de 27 boletins epidemiológicos de todos os estados brasileiros e Distrito Federal. Observou-se incipiência de dados relacionados a raça/cor, o que pode revelar a pretensão de invisibilizar quem são os mais atingidos pela epidemia. A negação dos direitos básicos e fundamentais caracteriza a estrutura racista que tem operado a política de enfrentamento da COVID-19 no país.


Subject(s)
Black People , Coronavirus Infections/epidemiology , Data Collection/statistics & numerical data , Health Equity , Pneumonia, Viral/epidemiology , Betacoronavirus , Brazil/epidemiology , COVID-19 , Epidemiological Monitoring , Health Status Disparities , Humans , Pandemics , Racism , SARS-CoV-2
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