Trends in institutional deliveries among disadvantaged groups and the impact of intervention in Gujarat: evidence from secondary data analysis

The Lancet ◽  
2013 ◽  
Vol 381 ◽  
pp. S129 ◽  
Author(s):  
Deepak Saxena ◽  
Santhi Nakkeeran ◽  
Ruchi Vangani ◽  
Dileep Mavalankar
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Disadvantaged Groups ◽  
Institutional Deliveries ◽  
The Impact

scholarly journals THE COVID-19 PANDEMIC: AN ACCELERATOR OF DIGITALISATION IN TOURISM

2021 ◽  
Vol 14(63) (2) ◽  
pp. 19-26
Author(s):  
Alina Petronela Pricope (Vancia) ◽  
◽  
Codruța Adina Băltescu ◽  
Keyword(s):  
Data Analysis ◽  
Digital Technologies ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
The Impact ◽  
Tour Operator

The aim of this paper is to analyse the effects of the COVID-19 pandemic on leveraging technology to generate new opportunities for travel companies. Tourism is one of the sectors most affected by the Covid-19 pandemic, companies in this sector have never faced such a dramatic situation and their challenge has been to survive and find new ways to generate profit. In this context, the pandemic has become an accelerator of digitalisation and has made digital technologies vital. The study is based on secondary data analysis and the research objectives are to examine the impact of COVID - 19 on travel companies and to highlight the importance of developing digitalisation during the pandemic. To achieve these goals, the authors analysed the actions during the pandemic of the world's largest tour operator, Tui Group

scholarly journals Standardization and Age-Distribution of COVID-19: Implications for Variability in Case Fatality and Outbreak Identification

2020 ◽  
Author(s):  
David N. Fisman ◽  
Amy L. Greer ◽  
Ashleigh R. Tuite
Keyword(s):  
Data Analysis ◽  
Early Stage ◽  
Age Distribution ◽  
Case Fatality ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Apparent Size ◽  
Older Individuals ◽  
Indirect Standardization ◽  
The Impact

AbstractBackgroundEpidemiological data from the COVID-19 pandemic has demonstrated variability in attack rates by age, and country-to-country variability in case fatality ratio (CFR).ObjectiveTo use direct and indirect standardization for insights into the impact of age-specific under-reporting on between-country variability in CFR, and apparent size of COVID-19 epidemics.DesignPost-hoc secondary data analysis (“case studies”), and mathematical modeling.SettingChina, global.InterventionsNone.MeasurementsData were extracted from a sentinel epidemiological study by the Chinese Center for Disease Control (CCDC) that describes attack rates and CFR for COVID-19 in China prior to February 12, 2020. Standardized morbidity ratios (SMR) were used to impute missing cases and adjust CFR. Age-specific attack rates and CFR were applied to different countries with differing age structures (Italy, Japan, Indonesia, and Egypt), in order to generate estimates for CFR, apparent epidemic size, and time to outbreak recognition for identical age-specific attack rates.ResultsSMR demonstrated that 50-70% of cases were likely missed during the Chinese epidemic. Adjustment for under-recognition of younger cases decreased CFR from 2.4% to 0.8% (assuming 50% case ascertainment in older individuals). Standardizing the Chinese epidemic to countries with older populations (Italy, and Japan) resulted in larger apparent epidemic sizes, higher CFR and earlier outbreak recognition. The opposite effect was demonstrated for countries with younger populations (Indonesia, and Egypt).LimitationsSecondary data analysis based on a single country at an early stage of the COVID-19 pandemic, with no attempt to incorporate second order effects (ICU saturation) on CFR.ConclusionDirect and indirect standardization are simple tools that provide key insights into between-country variation in the apparent size and severity of COVID-19 epidemics.FundingThe research was supported by a grant to DNF from the Canadian Institutes for Health Research (2019 COVID-19 rapid researching funding OV4-170360).

scholarly journals FRAILTY IN REACH II CAREGIVERS: A SECONDARY DATA ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S290-S291
Author(s):  
Jeananne Elkins ◽  
Patricia C Griffiths
Keyword(s):  
Data Analysis ◽  
Frailty Index ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Care Recipient ◽  
Term Care ◽  
Care Recipients ◽  
Reach Ii ◽  
The Impact

Abstract Frailty, a reduction in reserve capacity in people who are otherwise considered healthy, affects between 9 and 13% of adults who are older. Frailty is a poorly understood syndrome; however, frailty is correlated with negative CV procedure outcomes, falls and institutionalization. Little is known about frailty in caregivers. A secondary data analysis was conducted using the REACH II publicly available dataset and the Groningen Frailty Index (GFI). At consent two percent of REACH II caregivers had difficulty going to the toilet while 11% had difficulty walking outdoors. More than 1/3 had hearing and vision losses. 75% felt sad or dejected. 82% were taking more than 4 medications. Based on their calculated GFI, between 61% and 64% of the REACH II caregivers were frail. Frail caregivers and their care recipient were less likely to go to the emergency department (-0.110 coefficient; p = 0.004 95% CI -0.184 -0.035) and were less likely to be hospitalized overnight during the past 6 months (-0.121 coefficient; p=0.004; 95% CI -0.203 -0.040). Frailty is an under-recognized syndrome in caregivers. Little is known about the impact of frailty on the caregiving dyad; however, ED utilization and hospitalization was decreased in these caregivers and their care recipients. This decrease may imply a delay in seeking care; and, in fact, lead to worse health outcomes for the dyad. With the aging of Baby Boomers and the continued dependence for long term care delivered by unpaid caregivers, implementation of programs to prevent and treat frailty in caregivers is essential.

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