scholarly journals What does pandemic response and recovery look like through the lens of anthropogenic violence and inequality?

2022 ◽  
Vol 9 (1) ◽  
pp. 158-162
Author(s):  
Sabrina C. Agarwal
Keyword(s):  
Response And Recovery ◽  
Pandemic Response

“There Was No ‘That’s Not My Job’”: New York Area Agencies on Aging Approaches to Supporting Older Adults During the COVID-19 Pandemic

2021 ◽  
pp. 073346482199102
Author(s):  
Claire Pendergrast
Keyword(s):  
Older Adults ◽  
New York ◽  
New York State ◽  
Well Being ◽  
Contextual Influences ◽  
Structured Interviews ◽  
Response And Recovery ◽  
Pandemic Response ◽  
Increasing Demand ◽  
Priority Needs

The COVID-19 pandemic has disrupted many older adults’ traditional sources of formal and informal supports, increasing demand for Area Agency on Aging services (AAAs). This study examines strategies used by AAAs to support older adults’ health and well-being during COVID-19 and identifies contextual influences on AAA pandemic response activities. Semi-structured interviews were conducted with representatives of 20 AAAs in New York State. A combined inductive and deductive approach was used to code and thematically analyze the data. AAAs rapidly expanded capacity and dramatically modified program offerings, communications activities, and service delivery protocols to address emergent needs and minimize COVID-19 exposure risk for clients. AAAs’ trusted relationships with older adults and community partners improved their capacity to identify priority needs and coordinate appropriate supports. Policymakers should ensure that AAAs receive sustained financial and technical support to ensure critical community-based services are available for older adults throughout pandemic response and recovery.

scholarly journals Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation

2021 ◽  
Author(s):  
Renato Quiliche ◽  
Rafael Renteria-Ramos ◽  
Irineu de Brito Junior ◽  
Ana Luna ◽  
Mario Chong
Keyword(s):  
Spatial Patterns ◽  
Research Question ◽  
Spatial Regression ◽  
Mortality Rates ◽  
Main Research ◽  
Goods And Services ◽  
Long Run ◽  
Response And Recovery ◽  
Pandemic Response ◽  
Spatial Regression Analysis

In this article we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is: which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determines the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means a high economic activity that leads to more deaths of COVID-19. There is a lack of supply of a set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated to COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates.

scholarly journals Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation

2021 ◽  
Vol 13 (18) ◽  
pp. 10092
Author(s):  
Renato Quiliche ◽  
Rafael Rentería-Ramos ◽  
Irineu de Brito Junior ◽  
Ana Luna ◽  
Mario Chong
Keyword(s):  
Spatial Patterns ◽  
Research Question ◽  
Spatial Regression ◽  
Mortality Rates ◽  
Main Research ◽  
Goods And Services ◽  
Long Run ◽  
Response And Recovery ◽  
Pandemic Response ◽  
Spatial Regression Analysis

In this article, we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determine the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means high economic activity, which leads to more deaths due to COVID-19. There is a lack of supply in the set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated with COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates.

Flattening the emotional distress curve: A behavioral health pandemic response strategy for COVID-19.

2020 ◽  
Vol 75 (7) ◽  
pp. 875-886 ◽  
Author(s):  
Nadine J. Kaslow ◽  
Elsa A. Friis-Healy ◽  
Jordan E. Cattie ◽  
Sarah C. Cook ◽  
Andrea L. Crowell ◽  
...  
Keyword(s):  
Behavioral Health ◽  
Emotional Distress ◽  
Response Strategy ◽  
Pandemic Response

Response and recovery of Baltic Sea blue mussels from exposure to pharmaceuticals

2015 ◽  
Vol 526 ◽  
pp. 89-100 ◽  
Author(s):  
L Kumblad ◽  
H Oskarsson ◽  
C Palmer ◽  
AKE Wiklund
Keyword(s):  
Baltic Sea ◽  
Blue Mussels ◽  
Response And Recovery

Recognition, response, and recovery

2019 ◽  
pp. 26
Author(s):  
Alejandro A. Royo ◽  
Susan L. Stout
Keyword(s):  
Recognition Response ◽  
Response And Recovery

Laboratory Animal Research Centre (Larc) “A Specific Pathogen Free Rodent Facility” - Covid – 19 Pandemic Response Plan

2020 ◽  
Author(s):  
Muralitharan Shanmugakonar ◽  
Vijay Kanth Govindharajan ◽  
Kavitha Varadharajan ◽  
Hamda Al-Naemi
Keyword(s):  
Laboratory Animal ◽  
Animal Research ◽  
Research Centre ◽  
Functional Requirement ◽  
Specific Pathogen Free ◽  
Specific Pathogen ◽  
Response Plan ◽  
Pandemic Response ◽  
Operational Plan

Laboratory Animal Research Centre (LARC) has developed an early emergency operational plan for COVID-19 pandemic situation. Biosafety and biosecurity measures were planned and implemented ahead of time to check the functional requirement to prevent the infection. Identified necessary support for IT, transport, procurement, finance, admin and research to make the operations remotely and successfully.

The role of personality in shaping pandemic response: Systemic sociopolitical factors drive country differences

2020 ◽  
Author(s):  
Meghan Siritzky ◽  
David M Condon ◽  
Sara J Weston
Keyword(s):  
Individual Differences ◽  
Big Five ◽  
Public Health Research ◽  
Cross Cultural ◽  
Economic Factors ◽  
State Fragility ◽  
Systemic Factors ◽  
Pandemic Response ◽  
The Relationship

The current study utilizes the current COVID-19 pandemic to highlight the importance of accounting for the influence of external political and economic factors in personality public-health research. We investigated the extent to which systemic factors modify the relationship between personality and pandemic response. Results shed doubt on the cross-cultural generalizability of common big-five factor models. Individual differences only predicted government compliance in autocratic countries and in countries with income inequality. Personality was only predictive of mental health outcomes under conditions of state fragility and autocracy. Finally, there was little evidence that the big five traits were associated with preventive behaviors. Our ability to use individual differences to understand policy-relevant outcomes changes based on environmental factors and must be assessed on a trait-by-trait basis, thus supporting the inclusion of systemic political and economic factors in individual differences models.

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