scholarly journals Applying lessons from influenza pandemics to the COVID‐19 pandemic

2021 ◽  
Author(s):  
Kam Lun Hon ◽  
Karen Ka Yan Leung ◽  
Wun Fung Hui ◽  
Daniel Kwok Keung Ng
Keyword(s):  
Influenza Pandemics

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

scholarly journals Indigenous Groups and Influenza: Protocol For A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Daniele Evelin Alves ◽  
Ole Røgeberg ◽  
Svenn-Erik Mamelund
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Indigenous Populations ◽  
Influenza Pandemics ◽  
Indigenous Groups ◽  
Combining Data ◽  
Registration Number ◽  
The Impact ◽  
Academic Search ◽  
Historical Periods

Abstract Background: Several studies have documented that indigenous groups have been disproportionally hit by previous pandemics, with some exceptions. The objective of this review and meta-analysis is to provide a comprehensive historical overview of pre-COVID impact of influenza on indigenous groups by combining data from the last five influenza pandemics and seasonal influenza up to date. Methods/Principle Findings: The review will include peer-reviewed original studies published in English, Spanish, Portuguese, Swedish, Danish and Norwegian. Records will be identified through systematic literature search in eight databases: Embase, Medline, Cinahl, Web of Science, Academic Search Ultimate, SocIndex, ASSIA and Google Scholar. Results will be summarized narratively and using meta-analytic strategies. Discussion: To our knowledge, there is no systematic review combining historical data on the impact of both seasonal and pandemic influenza on indigenous populations. By summarizing results across indigenous groups in different countries and historical periods, we aim to provide information on how strong the risk for influenza is among indigenous people, and how consistent this risk is across groups, areas and time. Systematic review registration: PROSPERO registration number: CRD42021246391

scholarly journals Will the COVID-19 pandemic lead to a tsunami of suicides? A Swedish nationwide analysis of historical and 2020 data

2020 ◽  
Author(s):  
Christian Rück ◽  
David Mataix-Cols ◽  
Kinda Malki ◽  
Mats Adler ◽  
Oskar Flygare ◽  
...  
Keyword(s):  
Negative Impact ◽  
Annual Data ◽  
Short Term ◽  
Death Rates ◽  
Men And Women ◽  
Influenza Pandemics ◽  
Suicide Rates ◽  
Distributed Lag ◽  
The Media

ABSTRACTBackgroundVarious surveys have documented a negative impact of the COVID-19 pandemic on the population’s mental health. There is widespread concern about a surge of suicides, but evidence supporting a link between global pandemics and suicide is very limited. Using historical data from the three major influenza pandemics of the 20th century, and recently released data from the first half of 2020, we aimed to investigate whether an association exists between influenza deaths and suicide deaths.MethodsAnnual data on influenza death rates and suicide rates were extracted from the Statistical Yearbook of Sweden from 1910-1978, covering the three 20th century pandemics, and from Statistics Sweden for the period from January to June of each year during 2000-2020. COVID-19 death data were available for the first half of 2020. We implemented non-linear autoregressive distributed lag (NARDL) models to explore if there is a short-term and/or long-term effect of increases and decreases in influenza death rates on suicide rates during 1910-1978. Analyses were done separately for men and women. Descriptive analyses were used for the available 2020 data.FindingsBetween 1910-1978, there was no evidence of either short-term or long-term significant associations between influenza death rates and changes in suicides. The same pattern emerged in separate analyses for men and women. Suicide rates in January-June 2020 revealed a slight decrease compared to the corresponding rates in January-June 2019 (relative decrease by −1.2% among men and −12.8% among women).InterpretationWe found no evidence of short or long-term association between influenza death rates and suicide death rates across three 20th century pandemics or during the first six months of 2020 (when the first wave of COVID-19 occurred). Concerns about a substantial increase of suicides may be exaggerated. The media should be cautious when reporting news about suicides during the current pandemic.

Source for influenza pandemics

1994 ◽  
Vol 10 (4) ◽  
pp. 455-458 ◽  
Author(s):  
Christoph Scholtissek
Keyword(s):  
Influenza Pandemics

scholarly journals A Perspective on Multiple Waves of Influenza Pandemics

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e60343 ◽  
Author(s):  
Anna Mummert ◽  
Howard Weiss ◽  
Li-Ping Long ◽  
José M. Amigó ◽  
Xiu-Feng Wan
Keyword(s):  
Influenza Pandemics

scholarly journals Influenza Pandemics, Immune Cross‐Reactivity, and Pandemic Control Strategies

2008 ◽  
Vol 198 (2) ◽  
pp. 294-295 ◽  
Author(s):  
Cristiana Gioia ◽  
Chiara Agrati ◽  
Concetta Castilletti ◽  
Maria R. Capobianchi ◽  
Federico Martini
Keyword(s):  
Control Strategies ◽  
Cross Reactivity ◽  
Influenza Pandemics

Resource Distribution Strategies for Mitigation of Cross-Regional Influenza Pandemics

2013 ◽  
pp. 83-105
Author(s):  
Andres Uribe-Sanchez ◽  
Alex Savachkin
Keyword(s):  
Optimization Model ◽  
Resource Distribution ◽  
Institute Of Medicine ◽  
Policy Makers ◽  
Social Distancing ◽  
Influenza Pandemics ◽  
Lost Productivity ◽  
Dynamic Resource ◽  
The Cost ◽  
The Impact

As recently acknowledged by the Institute of Medicine, the existing pandemic mitigation models lack dynamic decision support capabilities. This paper develops a simulation optimization model for generating dynamic resource distribution strategies over a network of regions exposed to a pandemic. While the underlying simulation mimics the disease and population dynamics of the affected regions, the optimization model generates progressive allocations of mitigation resources, including vaccines, antivirals, healthcare capacities, and social distancing enforcement measures. The model strives to minimize the impact of ongoing outbreaks and the expected impact of the potential outbreaks, considering measures of morbidity, mortality, and social distancing, translated into the cost of lost productivity and medical expenses. The model was implemented on a simulated outbreak involving four million inhabitants. The strategy was compared to pro-rata and myopic strategies. The model is intended to assist public health policy makers in developing effective distribution policies during influenza pandemics.

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