Rapid review of government issued documents relevant to mitigation of COVID-19 in the US food manufacturing and processing industry
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Abstract
We surveyed publicly available records published by the United States (US) government between the start of the Coronavirus Disease 2019 (COVID-19) pandemic and September 30 th , 2021, to identify documents containing resources or guidelines about COVID-19 mitigation relevant to the US food manufacturing and processing industry (hereafter referred to as “the food processing industry”). Among 36 documents identified and reviewed (including 35 from government agencies and one from a relevant professional association), we extracted 19 categories of mitigation strategies covering the themes of employee biosafety, surveillance, vaccination, social distancing, and worker education. We concluded that the priority of COVID-19 mitigation in the food processing industry was to protect the health and safety of industry workers while maintaining food supply chain resilience to minimize disturbance in the food market and avoid food crisis. A collated list of the identified documents and their comprehensive review will (i) aid researchers and public health workers in interpreting the potential impacts of the recommended mitigations on the epidemiology of the disease among workers in the food processing industry and (ii) help the food processing industry sort out the most essential strategies to take in face of a pandemic.
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SciScore for 10.1101/2022.02.25.22271516: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources Content analysis: After the initial collecting and screening of documents, content analysis was conducted on all identified documents, and a codebook was developed in Microsoft Excel to record the mitigation strategies mentioned in each document. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)Results from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Study limitation: In line with the …
SciScore for 10.1101/2022.02.25.22271516: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources Content analysis: After the initial collecting and screening of documents, content analysis was conducted on all identified documents, and a codebook was developed in Microsoft Excel to record the mitigation strategies mentioned in each document. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)Results from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Study limitation: In line with the search period in this review, identified documents were limited to the period before October 2021. Consistent with the practice for rapid reviews (35) we focused on a specific segment of the food industry, and we adapted the search methodology to enable a rapid review process. Specifically, we thoroughly searched the CDC, OSHA, and FDA websites for food manufacturing and processing industry relevant COVID-19 information because we presumed that these three institutions are the most prominent government authorities relied on for guidance during the pandemic in the USA. Since the search methodology was not intended to provide an exhaustive review of all documents about COVID-19 mitigation ever published on the internet, relevant documents published by other government agencies and the corresponding additional mitigation strategies might have been missed. To address this, we expanded the search process with snowballing and identified a few additional documents in an effort to reduce the potential bias associated with the search methodology.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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