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COVID-19 meatpacking

pdez90
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Industrial meatpacking plants in countries all over the world (USA, Germany, Australia) have all become hotspots of COVID-19 (Link). 

The close proximity in which workers working in such plants, the gruelling hours, the lack of access to healthcare among workers (many of whom are immigrants, refugees and POCs), are all reasons why such plants have emerged as hotspots. This Propublica article talks about the amont of preparation that such an industry has for pandemic flu outbreaks that could wipe out animals, but failed to do the same for their workers (Link). Moreover, our desire of meat (bad for the environment and unsustainable), has resulted in these companies having a tremendous amount of clout which allowed some to go over the heads of local officials as the ProPublica article reports. 

Air Pollution <-> COVID-19

pdez90
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A well publicised Harvard study reported an association between long-term exposure to fine particulate matter (PM2.5) and COVID-19 deaths (Link). Another recent study that consider multiple pollutants found a signficiant association between nitrogen dioxide (NO2), a traffic-related pollutant and COVID-19 deaths, and not PM2.5 (Link).

Air pollution and COVID-19 have intersected in other ways. The decreases in air pollution due to the lockdown were seen as one of the few silver linings of the crisis (Link). Although early optimism has been dashed as air pollution levels have jumped right back up in China (Link) and other places when the lockdown was lifted. Some may say that under the cover of COVID-19, the Trump administration also rolled back several environmental regulations (Link), and it is unclear yet what the long-term effects of such rollbacks will be.

Air pollution is also a carrier of COVID-19 (Link), and researchers have been investigating the transmission of the virus by simulating mundane activities such as speaking in the elevator and even flushing a toilet.

Some of the other ways however, in which air pollution and COVID-19 will intersect are at infrastructure such as warehouses, which we will see increase as more and more people move to shopping online. Already in the recent pasts of the building of massive warehouses have been challenged for environmental justice reasons, as they tend to be built in poor, minority communities and result in heavy freight traffic, which in turn burdens such communities with increased pollution (Link1, Link2). Amazon employees themselves have documented the nature of siting of warehouses (Link), and it is likely to become an even more fraught site of contention as we move forward.

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ciera.williams
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This study examined the risk of acquiring Ebola Virus Disease (EVD) by healthcare workers in the setting of general hospitals and isolation units. By looking retrospectively at the Ebola Outbreak in Sierra Leone, the relative levels of risk to healthcare workers were computed and compared. The reasoning for these levels was also examined through interviews of surviving workers and the families/associates/colleagues of the deceased workers. The interviews reviewed common actions (and lack there of) for affected workers. This revealed certain themes that should be visited when reveising/creating hospital infection prevention and control policies.

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ciera.williams
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In the case of this study, the vulnerable population examined was healthcare workers in Sierra Leone during the outbreak. These workers were found to be at a significant level of risk for transmission for a number of reasons. These include proximity to the virus (due to the occupation), lack of training in the area of infection control, and cultural factors (such as prevalence of self-medication and home management of illness). Nurses as a whole were most affected, with over half of the infected members. 

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ciera.williams
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The data acquired in this study can be used not only for improvement in policies and training for healthcare workers, but also to examine the risk factors for the disease. One example is the age and gender disparities in those nfected. These could be explained by the typical age and gender of healthcare workers, but could also show a trend in risk when coupled with patient data. The data on the districts and their infection rates can be used to help pinpoint the origin of infection. 

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ciera.williams
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The study was published in BMC Infectious Diseases, a peer-reviewed journal on the prevention, diagnoisis, and management of infectious disease. The journal seems to be genrally well respected.

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ciera.williams
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This was a retrospective study. While not the most accurate and well supported way to conduct a study, due to the effects of recall bias, it was really the only way to gain the data that was presented in the report. There isn't really anything new about the style of research. 

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ciera.williams
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At least one further study has been conducted using this data. A more focussed paper on the Kenema District in Sierra Leone was written, addressing the staggering number of cases with infected healthcare workers. The paper is titled "Facors Underlying Ebola Virus Infection Among healthcare Workers, Kenema, Sierra Leone, 2014-2015."  The paper reached similar conlusions as the original one, with a need for better practices in infection control and prevention.