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Adopting a systems view of disrupting crisis-driven food insecurity.
Sharma, A; Lin, M; Okumus, B; Kesa, H; Jeyakumar, A; Impellitteri, K.
  • Sharma A; Penn State University, USA; University of Johannesburg, South Africa. Electronic address: aus22@psu.edu.
  • Lin M; Hong Kong Polytechnic University, Hong Kong, China.
  • Okumus B; University of Central Florida, USA.
  • Kesa H; University of Johannesburg, South Africa.
  • Jeyakumar A; Savitribai Phule Pune University, India.
  • Impellitteri K; Penn State University, USA.
Public Health ; 211: 72-74, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2004428
ABSTRACT

OBJECTIVES:

During the COVID crisis, the incidence of food insecurity worsened around the globe. We were reminded that food insecurity existed before COVID, worsened during this crisis, and will unfortunately be a persistent phenomenon in the post-COVID world. It is evident that to counter this public health threat, systematic changes will need to happen. In this short communication, we introduce the notion of a systems-oriented framework that can guide appropriate actions for us to disrupt future food insecurity crises. STUDY

DESIGN:

This short communication identifies preliminary observations based on relevant past studies that documented the impact of COVID-19 on food insecurity, and the researchers' conceptualization of a framework on how we may address future crisis-driven food insecurity challenges.

METHODS:

Systems-oriented framework was conceptualized based on preliminary observations in studies that investigated food insecurity during the COVID-19 pandemic.

RESULTS:

This short communication explores the notion of a systems-oriented framework as a guide to future action to prevent crisis-driven food insecurity.

CONCLUSIONS:

The systems-oriented framework emphasizes the importance of action across macro, meso, and micro levels, and synchronization to maximize synergies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Public Health Year: 2022 Document Type: Article