Abstract
COVID-19 has revealed social and health inequities in the US. Structural inequalities have increased the likelihood of immigrants contracting COVID-19, by being essential workers and through poverty that forces this population to continue working. Rural and urban immigrant families may face different concerns. Using a telephone survey in May 2020 of 105 Latinx families in an existing study, quantitative and qualitative data were gathered on work and household economics, childcare and education, healthcare, and community climate. Analyses show that, although rural and urban groups experienced substantial economic effects, impacts were more acute for urban families. Rural workers reported fewer workplace protective measures for COVID-19. For both groups, fear and worry, particularly about finances and children, dominated reports of their situations with numerous reports of experiencing stress and anxiety. The experience of the pandemic is interpreted as an example of contextual vulnerability of a population already experiencing structural violence through social injustice. Policy implications are highlighted.
Keywords: Coronavirus, Structural violence, Contextual vulnerability, Mixed methods
Introduction
The COVID-19 pandemic has highlighted social and health injustices in the United States (US) population.1 Both case rates and mortality are higher among people of color than among white individuals.2,3 Immigrants of color and their families are among those groups at the highest risk for contracting COVID-19.4,5
Immigrants’ particular vulnerability to both acquiring the coronavirus and then developing severe COVID-19 appears to be an example of social injustice, linked to structural inequalities.6 Many work in occupations and industries deemed essential, so that they have been exempted from protective stay-at-home or work-from-home orders.7–9 In addition, many immigrants live in crowded housing and multi-family dwellings that do not permit social distancing.10 These risk factors for exposure to COVID-19 are exacerbated by the fact that many immigrants have low incomes, cannot communicate well in English, and lack documentation status to be in the US and to access health and income safety net programs.11,12 For many immigrants, even if their particular job is not deemed essential, their low incomes and limited savings force them to continue working.13 Most have received no benefits from the special allocations in the Coronavirus Aid, Relief and Economic Security (CARES) Act distributed in spring and summer of 2020.14
The industry sectors where immigrants predominate and are deemed essential include farm work in agriculture and meat and poultry processing in manufacturing.4,7,8,15–17 As both of these industry sectors are crucial to the food system, there is considerable pressure for production to keep food availability at normal levels. Numerous outbreaks have been reported throughout the pandemic among these workers.18–22 These workers are particularly vulnerable because, in addition to not being able to work from home, their jobs usually prevent them from maintaining physical distancing in the workplace. Farm work, for example, often entails transportation in crowded vehicles to the fields and working side-by-side on equipment for planting or harvesting. Meat processing requires workers to be side-by-side on crowded production lines, without barriers. In all cases, communication is frequently by shouting or loud talking over machine noise, which is known to expel more virus-containing droplets or aerosols than speaking normally.23
Immigrant workers share the concerns of other US residents about the threats of the COVID-19 pandemic to their health and that of their families.10 However, their concerns may extend to anticipated outcomes in other aspects of life. Clark et al.4 suggest that anticipated outcomes may fall into three domains in addition to health and medical: economic (including fewer days or hours of work, job loss, and inability to pay bills including rent); legal (lack of eligibility for unemployment and other benefits), and social (including food insecurity, children’s difficulty with obtaining quality education, and worsening political and community climate surrounding immigration).
In research to date about immigrant workers’ fears during the pandemic, health has been emphasized (see, for example, Quandt and colleagues, 10). Less attention has been paid to concerns of immigrant workers in these other domains (i.e., economic, legal, and social). In particular, few studies attempted to document these concerns during the early, confusing days of the pandemic and to do so in the words of these immigrants. In addition, there has been little comparison of the experiences of Latinx immigrants during the pandemic in rural and urban environments. It is possible that the experiences differ, based on differences between rural and urban situations in resources, in the demand for immigrant labor, and in the availability of public health messaging about the pandemic. Comparative research can identify areas where different approaches to health and social service provision are needed.
This paper reports findings from a telephone survey collected in May 2020. The respondents were participants in an existing study that included mothers in a sample of rural Latinx farmworker families and a comparison group of urban Latinx non-farmworker families in North Carolina, USA. This study had developed trust and lines of communication with these women. The survey gathered both quantitative and qualitative data from these mothers. In this paper, we describe the experiences of these women’s families in four domains: work and household economics, childcare and education, healthcare, and community social climate concerning discrimination and racism. We compare the experience of rural and urban immigrant Latinx families, and we use qualitative responses of the women to highlight the quantitative findings. We interpret our findings with a view to the social injustices these workers face as immigrants to the US, and we highlight needed changes to economic, social, and occupational health and safety policy.
Methods
Research design
The study reported here is part of a larger two-group, prospective study examining the health and cognitive effects of pesticide exposure in children in farmworker families. The larger study uses a comparative design, within a community-based participatory research framework, with a sample of families of Latinx farmworkers with children and a sample of similar families, but without any farmworker members. In the larger study, a focal child was identified and enrolled, as was the child’s mother who responded to questions about the child and the family. The biological mother (in contrast to other family members) was included because the study required recall of pregnancy and early childhood health history that was not necessarily known by the mother’s partner. Additional details of the larger study can be found elsewhere.24 The current study used a telephone survey to reach the mother of the children in these families in May, 2020. These mothers answered questions for themselves, their children, and for other family members. At that time, no face-to-face contact between study staff and study participants was permitted by the Institutional Review Board due to COVID-19-related health concerns for research participants. All procedures, including the telephone survey, were approved by the Wake Forest School of Medicine Institutional Review Board. The study received a Certificate of Confidentiality from the National Institutes of Health.
Inclusion criteria and participant recruitment
Inclusion criteria for the families were similar in both farmworker and non-farmworker samples when originally recruited from March, 2018, to December, 2019; they reflected the purpose of the larger study. Each family had to have a child aged eight years at baseline, who had completed the first grade in the US. All children had to be from families that self-identified as Latino or Hispanic, and with household incomes below 200% of the US federal poverty guideline. In the farmworker sample, the mother or her spouse must have been employed in farm work on non-organic farms during the past three years. In the non-farmworker sample, adults could not have been employed in any industry that involved routine exposure to pesticides (e.g., farm work, landscaping, pest control) in the previous three years. Families in the non-farmworker sample could not have lived adjacent to agricultural fields in the previous three years. At baseline of the larger study, farmworker families reported that the most common industry in which women worked was agriculture; for men, it was construction, followed by agriculture. For non-farmworker families, most women were not in the labor force and the majority of men worked in construction.
Exclusion criteria for both samples included children having life threatening illnesses, prior history of neurological conditions, physical condition or development disorder that would not allow them to complete or would interfere with the results of neurobehavioral tests or MRIs (used in the larger main study), primary language other than Spanish or English spoken in the home, or refusal of mother/guardian to complete the questionnaires.
In the larger study, a total of seventy-six children were recruited from across rural North Carolina for the farmworker sample and 65 children for the non-farmworker sample from the urban area around Winston-Salem and Greensboro, North Carolina. For the recruitment of the original sample, the North Carolina Farmworkers Project developed a list of farmworker families with an eight year old child, and the locations where they lived. In addition, other community organizations that served farmworker families in the recruitment area were contacted to provide contact information for eligible families. For the original non-farmworker sample, local recruiters in Winston-Salem, NC, and community members developed a list. For both samples, mothers were contacted by a bilingual member of the study staff who explained the overall study procedures, answered questions, and, if the mother agreed to participate, obtained signed informed consent from the mother and assent from the child. As recruitment progressed, community partners worked with the study team to balance the two samples on gender of the child.
Prior to the telephone survey, mothers of five children in the farmworker sample and seventeen in the non-farmworker sample withdrew, moved away from the study area, or were lost to follow-up. The remaining children represented sixty-seven farmworker families and forty-five non-farmworker families, because some families had more than one child enrolled. For the telephone sample, two families refused to participate and five could not be reached, all in the non-farmworker sample. A total of sixty-seven farmworker families and thirty-eight non-farmworker families could be reached and agreed to participate. This sample of 105 is used in this paper.
Data collection
Details of data collection can be found elsewhere.10 Briefly, data for this study were gathered from May 1, 2020, to June 5, 2020, using a telephone survey. Only two interviews were conducted in June. Interviewers were members of the larger study team who had usual interview contact with the mothers. Interviewers received individualized televideo training and completed practice interviews. To recruit participants, interviewers called the last known telephone number for the mother in each family, explained the purpose and procedures for the study, and told the mother that she would receive a $10 incentive for completing it. The interviewers attempted calls at different times of day until the participant was reached or at least three unsuccessful calls had been made.
If the mother agreed to participate, her informed consent was noted, and the interviewer proceeded to conduct a standardized interviewer-administered questionnaire in the language of her choice. Data were entered in real time during the interviews using Research Electronic Data Capture (REDCap). The REDCap system provides secure, web-based applications for a variety of types of research.25 Data from this interview were later merged with selected personal, family, and household variables collected in the main study questionnaires.
The mothers who participated in the telephone interviews served as proxies for their spouses, providing data on spouses’ concerns and possible exposures to COVID-19. The decision to use spouse proxies was based on several factors arising from the unique circumstances of research allowable during the pandemic: only the mothers had been consented, and the topics were judged to be sufficiently salient that our contact with study participants indicated they were likely discussed within families. The use of household members as proxies has a long history in demography and other survey research to provide responses where a respondent is not present and the non-use of proxies would result in considerable missing data. For example, the National Health Interview Survey (www.cdc.gov/nchs/nhis/index.htm), which is the US government’s primary source of information gathered directly from residents on health, uses proxies. When one looks at the literature on this over the last several decades, self-responses and those of proxies appear to be highly correlated, with some evidence of underestimation in quantitative data like income.26 We note smaller n’s for some variables concerning the spouse’s worksite, which is largely the result of the wives responding “don’t know”.
Variables and measures
Questionnaire items relating to the coronavirus and COVID-19 were adapted from existing studies (e.g., McFadden et al.27), where available, or from questions recommended for COVID-19 research by governmental and non-governmental agencies and found in a publicly available repository (NIH Public Health Emergency and Disaster Research Response; www.dr2.nlm.nih.gov). With the short history of the pandemic, validated questionnaires were not available for the May 2020 data collection. Because of the need for rapid data collection, validation was limited to checks on face validity and interviewer reports of difficulties experienced by respondents during practice interviews.
Variables from the main study baseline questionnaire were used to create measures to describe the sample. These included the following measures for the mother: age, preferred language, country of origin, educational attainment for mother and spouse, and assignment of the family to the farm work or non-farm work sample.
Work and household economics.
Employment status of the mother was obtained by asking what statement best reflected her current employment status relative to her primary job before the pandemic. Response options were: did not have a primary job before the pandemic, still working in the same job as before the pandemic, working in a different job from that at the start of the pandemic, lost her primary job and was looking for work, temporarily laid off from primary job, or on sick leave or other leave from primary job. These were collapsed to create a measure of current work status which included the categories no primary job before pandemic (not in the labor force); same job as before pandemic; working a different job than before the pandemic; and, currently out of work (laid off, on leave). Similar questions were asked for spouses.
Participants were also asked about current work compared to the start of the pandemic for both themselves and their spouses. Response options were: hours were fewer than usual; more than usual; or, about the same. To gauge protections from the coronavirus at work, participants were asked which of a series of protective measures her employer had implemented: provided masks, gloves, other personal protective equipment (PPE), and hand sanitizer; had instituted more frequent cleaning of workplace floor and other surfaces than usual; had erected partitions between workers; had moved desks or workstations farther apart; established daily health checks; and, closed break or eating spaces. These questions were chosen after review of the then-current ideas about transmission of the virus. Although some of these were being extrapolated to worksites, the study preceded most governmental directives. The questions were limited to those worksite modifications that would be known to workers. For example, questions did not include installation of air filtration systems because aerosolized spread of the disease was not established, no specific governmental regulations were in place in May 2020, and such systems would not have been observable by workers.
Open-ended questions were asked to ascertain whether there were any specific circumstances at the participant’s or her spouse’s work that made them worry about the coronavirus. Responses were recorded verbatim.
To measure expected economic status, participants were asked what the chance was that their family would run out of money in the next three months. Response options were: very likely; somewhat likely; possible; unlikely; and, very unlikely.
Three questions ordered from least to most severe were used to obtain a measure of household food security. These questions were based on a Spanish-language adaptation28 of the US Household Food Security Survey Module.29 Each specified “in the last seven days” and behavior “because of a lack of money or other resources”. These were (1) were you worried you would run out of food? (2) did anyone in the family eat less than they thought they should? (3) did anyone in the family go without eating for a whole day? A food security score was calculated based on the number of statements affirmed, ranging from 0 (food secure) to 3 (lowest food security).
Six situations unrelated to money that made it difficult to obtain food were queried: grocery stores open fewer hours; grocery stores make you wait in line to enter the store; grocery stores do not have the food you want; children are not getting school breakfast or lunch; or, restaurants where you usually eat are closed. Those not affirming any of these options were classified as having no problems getting food.
Childcare and education.
To assess how families accommodated school closures, mothers were asked how their children were being cared for when they were at work. Response options were: spouses work at different times (or one or both parents do not work); leave children at home alone (including having an older sibling care for young siblings); friend or relative provides childcare; or, children attend licensed daycare center.
Two questions were used to obtain information on how education was provided while schools were closed. These questions were (1) did any of your children receive books or assignments from their teachers when they were sent home? and (2) have any of your children been receiving instruction over the internet? For both questions, response options were ‘yes’ or ‘no’.
Participants were also asked to list their concerns about their child’s education while they were out of school. Responses were coded into the following options: children will fall below their grade level; children will not graduate or be promoted to the next grade; children will do poorly on the state end-of-grade tests; and, children cannot take the ACT, SAT, or other college tests. If the mother had no concerns, this was noted. For additional information on mothers’ concerns about school closures, participants were asked to respond to three statements using a 5-point Likert-type scale: (1) school closures have made it difficult for me to work or do other household tasks, (2) I am satisfied with the communication from my children’s schools to support learning, and (3) my children will be prepared for school in the next school year. Response options were strongly disagree, disagree, neutral, agree, or strongly agree. The first two and last two response options were collapsed to create a measure with three response options: disagree, neutral, agree.
Healthcare.
To gauge how the pandemic had altered families’ use of healthcare services, the participants were asked a series of three questions that looked at their actions within the past two weeks. Response options for all questions were ‘no’ or ‘yes’. The first question asked if they or a family member had visited a doctor or clinic. The second question asked participants if they or a family member had canceled a planned doctor or clinic visit. If participants replied ‘yes’, they were asked two follow up questions: (1) did you cancel it because of the coronavirus?, and (2) did you cancel it because of the cost or lack of insurance? If participants answered ‘yes’ to either question, they were asked to explain why. The third question asked participants if they or a family member had made any other change in medical care due to the coronavirus.
Latinx community attitudes.
Two questions were asked in order to assess current attitudes of the respondents’ Latinx community on racism, discrimination, and vulnerability regarding immigration: (1) do you think community members are more worried than usual about discrimination and racism?, and (2) do you think community members are more worried than usual about immigration issues? Response options for both questions were no, yes, and don’t know. If participants answered ‘yes’, they were asked to explain their answer and their responses were recorded verbatim.
To obtain measures on mother’s concerns during the COVID-19 pandemic, outside of the ones addressed in the questionnaire, participants were asked an open-ended question: is there anything else you want to tell us about your situation now in the pandemic? Responses were recorded verbatim.
Data analysis
Frequencies and percentages were calculated to examine the variables of interest by farmworker status and significant differences were examined using Chi-Square or Fisher’s Exact tests as appropriate. All analyses were done using SAS v 9.4 (SAS Institute, Cary, NC) and p-values < .05 are considered statistically significant.
Answers to open-ended questions about employment and economic concerns, about community attitudes, and about overall concerns during the pandemic were translated to English. These were then reviewed by the authors and themes identified. A list of codes was developed that included both themes and attitudes or emotions conveyed by the respondents through words used. These codes were applied to the text segments. Those codes that occurred across multiple participants were considered salient30,31 and were summarized for presentation. Exemplary quotations were chosen for presentation.
Results
Description of the sample
The women interviewed ranged from twenty-five to forty-seven years of age (Table 1). Most in both the farmworker and non-farmworker samples were born in Mexico; Spanish was the preferred language for almost all women. Years of formal education completed by the respondents ranged from no formal education to college graduate. Although the median in both samples was ninth grade, differences were evident in high school completion. Only 16 percent of the women from farmworker families were high school graduates, compared to 31 percent of those from non-farmworker families. Formal education of spouses was slightly less, with medians of sixth grade for the farmworker sample and eighth grade for the non-farmworker sample. Only 9 percent of the farmworker spouses were high school graduates, compared to 31 percent of the non-farmworker spouses.
Table 1.
Farmworker n=67 |
Non-Farmworker n=38 |
|||
---|---|---|---|---|
n | % | n | % | |
| ||||
Age | ||||
25 – 29 years | 7 | 10.45 | 5 | 13.16 |
30 – 34 years | 26 | 38.81 | 7 | 18.42 |
35 – 39 years | 19 | 28.36 | 13 | 34.21 |
40 – 47 years | 15 | 22.39 | 13 | 34.21 |
Country of birth (mother) | ||||
Mexico | 54 | 80.60 | 30 | 78.95 |
El Salvador | 7 | 10.45 | 0 | 0 |
Guatemala | 2 | 2.99 | 1 | 2.63 |
Honduras | 1 | 1.49 | 3 | 7.89 |
United States | 3 | 4.48 | 2 | 5.26 |
Other | 0 | 0 | 2 | 5.26 |
Language most comfortable for conversation | ||||
Spanish | 65 | 97.01 | 35 | 92.11 |
English | 1 | 1.49 | 3 | 7.89 |
An indigenous language | 1 | 1.49 | 0 | 0 |
Highest level of education completed (mother) | ||||
Less than sixth grade | 13 | 19.40 | 3 | 7.89 |
Sixth - eighth grade | 18 | 26.87 | 8 | 21.05 |
Ninth – eleventh grade | 25 | 37.31 | 16 | 42.11 |
High school or more | 11 | 16.42 | 11 | 28.95 |
Highest level of education completed (spouse)1 | ||||
Less than sixth grade | 13 | 23.64 | 7 | 19.44 |
Sixth - eighth grade | 17 | 30.91 | 11 | 30.56 |
Ninth – eleventh grade | 20 | 36.36 | 7 | 19.44 |
High school or more | 5 | 9.09 | 11 | 30.56 |
Household composition | ||||
Number of children | ||||
0–1 | 4 | 5.97 | 1 | 2.63 |
2–3 | 40 | 53.70 | 22 | 57.89 |
4 or more | 23 | 34.33 | 15 | 39.47 |
Number of adults | ||||
1 | 7 | 10.45 | 2 | 5.26 |
2 | 45 | 67.16 | 24 | 63.16 |
3 or more | 15 | 22.39 | 12 | 31.58 |
Total household size | ||||
1–3 | 6 | 8.96 | 1 | 2.63 |
4–6 | 49 | 73.13 | 25 | 65.79 |
7–13 | 12 | 17.91 | 12 | 31.58 |
Totals 55 and 36, respectively, due to missing values.
Medians for total household size were 5 (range 1 to 10) and 6 (range 3 to 13) in the farmworker and non-farmworker samples, respectively. The number of adults in the household for the farmworker sample ranged from one to six, while the number of children ranged from zero (for a respondent currently separated from her family) to seven. For the non-farmworker sample, the ranges were one to four for adults and one to ten for children.
Comparison of Household Concerns
Work.
About 40 percent of the women in both samples did not work in a regular job before the pandemic (Table 2). The women in farmworker families appeared to have less job stability: fewer were working in the same job at the time of the interview, and more were in a different job. About the same proportion (about 16%) of both samples of women reported being out of work. Among spouses in both samples, most were in the same primary job as before the pandemic. About 5 percent were in a different job, and only a few were out of work. Overall, the pandemic appears to have affected the employment of women in farmworker families more than any other category. Among those women, only 13 (34.21%) of the 38 who reported being in the labor force were working in the same job as prior to the pandemic, compared to 91.53 percent of their spouses. However, 59.09 percent and 86.11 percent of the women and spouses, respectively, in non-farmworker families, were in the same job.
Table 2.
Self | Spouse1 | |||
---|---|---|---|---|
Farmworker n (%) |
Non-Farmworker n (%) |
Farmworker n (%) |
Non-Farmworker n (%) |
|
| ||||
Current employment status | ||||
No primary job before pandemic | 29 (43.28) | 16 (42.11) | 0 | 0 |
Same job as before pandemic | 13 (19.40) | 13 (34.21) | 54 (91.53) | 31 (86.11) |
Now working different job | 14 (20.90) | 3 (7.89) | 3 (5.08) | 2 (5.56) |
Currently out of work2 | 11 (16.42) | 6 (15.79) | 2 (3.39) | 3(8.33) |
Hours worked3 | ||||
Fewer than usual | 16 (59.26) | 7 (43.75) | 17 (29.82) | 18 (54.55) |
About the same as usual | 11 (40.74) | 7 (43.75) | 38 (66.67) | 15 (45.45) |
More than usual | 0 | 2 (12.50) | 2 (3.51) | 0 |
Employer COVID accommodations3 | ||||
Made no accommodations | 13 (48.15) | 1 (6.25) | 46 (80.70) | 10 (30.30) |
Made any accommodation | 14 (51.85) | 15 (93.75) | 11 (19.30) | 23 (69.70) |
Provided masks4 | 12 (85.71) | 14 (93.33) | 10 (90.91) | 21 (91.30) |
Provided gloves4 | 12 (85.71) | 14 (93.33) | 7 (63.64) | 18 (78.26) |
Provided other PPE4 | 2 (14.29) | 1 (6.67) | 3 (27.27) | 1 (4.35) |
Provided hand sanitizer4 | 11 (78.57) | 13 (86.67) | 5 (45.45) | 17 (73.91) |
Cleaned surfaces more than usual4 | 4 (28.57) | 11 (73.33) | 3 (27.27) | 7 (30.43) |
Build partitions between workers4 | 0 | 9 (60.00) | 0 | 6 (26.09) |
Separated workstations4 | 1 (7.14) | 6 (40.00) | 0 | 2 (8.70) |
Conducting daily health checks4 | 1 (7.14) | 7 (46.67) | 0 | 4 (17.39) |
Closed break or eating spaces4 | 1 (7.14) | 6 (40.00) | 0 | 3 (13.04) |
Told to work from home | 0 | 0 | 0 | 1 (3.03) |
Other4 | 1 (7.14) | 1 (6.67) | 1 (9.09) | 1 (4.35) |
59 spouses reported for farmworker families and 36 for non-farmworker families
Includes those who report having lost a job, being temporarily laid off, and on sick or other leave
Based on number of individuals reported to be working
Based on number of individuals who report employer made accommodations
Over half (59.29%) of the respondents from farmworker families reported working fewer hours now compared to prior to the pandemic; those from non-farmworker families were mixed, with only 43.75 percent reporting fewer hours and 12.50 percent reporting more hours. The difference between those in farmworker and non-farmworker families was not significant (p=.1628). For the spouses, most (66.67%) of those in farmworker families reported working about the same hours; a majority (54.55%) of those in non-farmworker families worker fewer hours. Differences for spouses were significant (p=.0430).
Significantly fewer respondents from farmworker families (51.85%) than non-farmworker families (93.75%) reported that their employers had made any accommodations for COVID-19 in the workplace (p=.0063). Only 19.30 percent of women in farmworker families reported accommodations at spouses’ worksites, compared to 69.70 percent in non-farmworker families (p<.0001). The most frequent accommodations made in each group were providing masks, gloves, or hand sanitizer. Among workers from non-farmworker families, 60.00 percent of respondents and 26.09 percent of spouses reported that employers had built partitions between workers. Most of the other possible accommodations (e.g., conducting daily health checks, closing break or eating spaces, or telling employees to work from home) were reported by few workers; in all cases, more respondents from non-farmworker families reported accommodations for themselves and their spouses.
Concerns stated by women related to their own work differed in content and emphasis between the farmworker and non-farmworker family respondents (Table 3). Among those from farmworker families, the primary concerns had to do with the way their work was organized due to machinery and the way fields are laid out, and the difficulties presented in maintaining recommended physical distancing. Women were both planting and harvesting when interviewed in the late spring. Planting requires two or more workers sitting close to each other on the back of a mechanical planter pulled by a tractor and placing seedlings in revolving wheels that spaces them into the rows below the tractor. Harvesting blueberries, in the case mentioned, involves standing in narrow rows and working close to bushes, to be able to reach all around them to find the ripe berries. The other concern for women from farmworker families was problems in mask use. Comments suggested the women were not given proper masks, but used scarves to cover their face, which had to be removed due to heat.
Table 3.
Theme | Representative Quotations |
---|---|
| |
Farmworker families | |
Difficulties maintaining physical distancing | • We work in groups, and we cannot keep the distance. • We work too close to each other when we are planting. • We are too close together when we work in the blueberry, and there are a lot of us there. • We really work very closely when we plant the tobacco. • We are planting tobacco, and we are working closely together. There are several of us. • We are very close [in the fields], and it is all day. • We just work too close to each other when we are planting. |
Problems with mask use | • We use scarves to cover our mouths, but sometimes we sweat and take them off. • Even though we have bandanas to cover our mouths, I worry I might get sick. |
Non-farmworker families | |
Possible contact with infected individuals | • There are lots of people coming into the office where I work. • [My employers] are hiring people from a factory that had people who were infected. • [At my worksite] they have already found five positive workers. They closed the factory on March 20 and reopened on April 27. In that week they found one [positive case]. • I worry about getting infected in the houses where I do housecleaning. • I do customer service, [so see many people]. |
Difficulties maintaining physical distancing | • I work at a store and I worry that people are stubborn and they don’t want to keep the required distance |
For non-farmworker family respondents, the primary concern was coming into contact with infected individuals in the workplace. These women’s workplaces were more varied, so that is reflected in concerns ranging from infected individuals being hired into factories to cleaning houses where infected people may live, to encountering a variety of unknown people in offices and stores. Difficulties in maintaining appropriate physical distance was mentioned, but less frequently than by women in farmworker families.
Concerns expressed by women for their spouses’ safety at work were more numerous, but were similar to concerns for themselves (Table 4). Women in farmworker families reported many concerns about mask use—that spouses did not use them in closed cars and while working. Most cited heat as a reason masks were not used. Physical distancing was also listed as a problem, particularly while doing farm work. There was also suspicion that co-workers might not be taking precautions and that that could lead to contact with infected individuals.
Table 4.
Theme | Representative Quotations |
---|---|
| |
Farmworker families | |
Problems with mask use | • It worries me that he goes to work. There are several people in the car, and they don’t use masks. • With the heat, they have to remove the mask because they cannot stand the heat. • Barely anyone uses masks. • They don’t use masks because it is too not outside, and they are outside all day. • Not everyone uses a mask. Even my husband takes it off because he says he sweats a lot. • Nobody uses masks because they sweat a lot, and it bothers them. • Despite the company rules, as soon as the foreman leaves them alone, some people take off their masks because they say it bothers them to work. |
Difficulties maintaining physical distancing | • There are many people, and they are all very close. He works on the blueberry. • There are several people, and, although they all wear masks, they are together when they are cutting cabbage. There is not much distance. • He is planting tobacco. Although they use masks, they are very close. • They have to be in groups all the time, and sometimes they are too close. |
Concerns about others taking precautions | • Well, nobody [at his work] takes precautions. • It does worry me not knowing if the co-workers take precautions when they go to the grocery store because at work they don’t use masks. • Not all his co-workers wash their hands or wear face masks. |
Possible contact with infected individuals | • It is scary for him to be close to other people and not know if he is going to get infected. |
Non-farmworker families | |
Concerns about others taking precautions | • The employees don’t use masks, and the employers don’t provide them with any to protect themselves. • My husband installs air conditioners, and they are not using protection. • I worry because the employer should provide protection, because without protection it is dangerous. |
Possible contact with infected individuals | • I worry there are people who are infected [at his job] and they can infect us. • There are several people at the worksite, and I worry he might get infected. • I worry that he is being exposed to getting sick. |
Difficulties maintaining physical distancing | • The clients at his work don’t respect the distances |
Women in non-farmworker families had many of the same concerns. They were more direct than women in farmworker families about the possibility that their spouses could be infected and then bring infection home to the family.
Household economics.
Most of both the farmworker and non-farmworker family respondents thought it was very likely or somewhat likely that they would run out of money for food in the coming three months (p=.0009) (Table 5). When current food security was compared, farmworker families reported significantly better food security than did non-farmworker families (p=.0062); 10.61% vs. 34.21%, respectively, reported some level of insecurity, with only non-farmworker families reporting actual behavioral measures taken to deal with shortage of food.
Table 5.
Farmworker n=67 |
Non-Farmworker n=38 |
|||
---|---|---|---|---|
n | % | n | % | |
| ||||
Likelihood family will run out of money in the next three months1 | ||||
Very likely | 8 | 12.12 | 17 | 44.74 |
Somewhat likely | 36 | 54.55 | 11 | 28.95 |
Possible | 7 | 10.61 | 6 | 15.79 |
Unlikely | 14 | 21.21 | 3 | 7.89 |
Very unlikely | 1 | 1.52 | 1 | 2.63 |
Highest level of food insecurity reported, past 7 days1 | ||||
No food insecurity | 59 | 89.39 | 25 | 65.79 |
Worried that food would run out because of lack of money | 7 | 10.61 | 10 | 26.32 |
Anyone in the family ate less than they thought they should because of lack of money | 0 | 0 | 2 | 5.26 |
Anyone in family go for a whole day because of lack of money | 0 | 0 | 1 | 2.63 |
Conditions making it hard to get food family needs2 | ||||
Grocery stores open fewer hours | 0 | 0 | 22 | 57.89 |
Grocery stores make wait in line to enter | 0 | 0 | 20 | 52.63 |
Grocery stores do not have food wanted | 0 | 0 | 18 | 47.37 |
Children not getting school breakfast or lunch | 0 | 0 | 12 | 31.58 |
Restaurants usually patronized are closed | 0 | 0 | 22 | 57.89 |
Experiences no problems getting food | 67 | 100.00 | 4 | 10.53 |
One missing farmworker observation.
Excludes problems related to money.
Non-farmworker families cited numerous circumstances beyond money that made it difficult to get the food the family needed during the pandemic. Over half cited grocery stores being open fewer hours (57.89%) or making customers wait in line to enter the store (52.63%), as well as usual restaurants being closed (57.89%). About half (47.37%) noted that grocery stores did not have the food they needed, and a third (31.58%) noted that children not getting school breakfast or lunch made it difficult to meet family food needs.
Childcare and educational concerns.
In both samples, most families accommodated childcare by having the parents work at different times (or a parent not work), so that one parent was always available (Table 6). As the second most used childcare option, almost a third (31.34%) of farmworker families reported leaving children home alone, while 21.05 percent of non-farmworker families reported that a friend or relative provided childcare. There were no significant differences in the use of different child care strategies, though twice as many farmworker families reported children staying home alone than non-farmworker families (p=.0797).
Table 6.
Farmworker n=67 |
Non-Farmworker n=38 |
|||
---|---|---|---|---|
n | % | n | % | |
| ||||
Child care while parents work1 | ||||
Spouses work at different times | 38 | 56.72 | 26 | 68.42 |
Leave children at home alone | 21 | 31.34 | 6 | 15.79 |
Friend or relative provides childcare | 8 | 11.94 | 8 | 21.05 |
Children attend licensed daycare center | 0 | 0 | 0 | 0 |
Takes child to work | 1 | 1.49 | 0 | 0 |
Education while school is closed | ||||
Received books or assignments | 67 | 100 | 36 | 94.74 |
Received instruction over the internet | 67 | 100 | 38 | 100 |
Concerns about children’s education | ||||
Will fall below grade level | 64 | 95.52 | 37 | 97.37 |
Will not graduate or be promoted | 23 | 34.33 | 20 | 52.63 |
Will do poorly on end-of-grade tests | 10 | 14.93 | 22 | 57.89 |
Cannot take college tests (e.g., SAT, ACT) | 1 | 1.49 | 7 | 18.42 |
School closure have made parent work difficult | ||||
Disagree | 0 | 0 | 9 | 23.68 |
Neutral | 45 | 67.16 | 13 | 34.21 |
Agree | 22 | 32.84 | 16 | 42.11 |
Satisfied with communication from schools | ||||
Disagree | 43 | 64.18 | 5 | 13.16 |
Neutral | 22 | 32.84 | 5 | 13.16 |
Agree | 2 | 2.99 | 28 | 73.68 |
Children will be prepared for school next year | ||||
Disagree | 54 | 80.60 | 11 | 28.95 |
Neutral | 13 | 19.40 | 9 | 23.68 |
Agree | 0 | 0 | 18 | 47.37 |
Respondents could report more than one childcare option.
All respondents for farmworker families reported that their children had received books or assignments when school was dismissed for the pandemic at the end of March. All but two of the non-farmworker families reported this, too. All respondents in both samples reported that at least some of their children received instruction over the internet while school was closed.
The concern that children would fall below grade level was the most frequently endorsed fear of parents, with over 95 percent in both groups expressing concern. Other concerns (that children would not graduate or be promoted, that children would do poorly on end-of-grade test, and that children could not take college tests) were endorsed more by non-farmworker families (p=.0980, p<.0001, and p=.0032, respectively).
Overall, respondents from farmworker families were less satisfied with school closure than those from non-farmworker families. They tended to agree that the school closure had made it more difficult to work or do household tasks (p<.001) and they tended to be less satisfied with communication from their children’s school to support learning (p<.001). They also tended to disagree more with the idea that their children would be prepared for school next year (p<.001).
Healthcare.
Four (5.97%) farmworker family respondents reported that a family member had visited a doctor or clinic in the previous two weeks. None had canceled an appointment for any reason. In contrast, 11 (28.95%) of non-farmworker family respondent reported a doctor or clinic visit in the past two weeks. An additional nine reported having had an appointment, but canceled it due to worries about the coronavirus. One of these respondents reported that she was afraid of getting infected and then infecting her family, if she went to the clinic.
Latinx community attitudes.
When asked about current worries about racism and discrimination among members of the Latinx community, there were sharp contrasts between farmworker and non-farmworker family responses (Table 7). For farmworker families, most (91.04%) responded that they did not know if community members were more worried. In contrast, non-farmworker families gave split responses: 42.11 percent reported more worry about racism and discrimination, while 57.68 percent reported no more worry than previously. Similarly, when asked whether there was greater concern in the community about immigration issues, most (89.55%) farmworker families responded that they did not know, and the rest said no. Only 21.05 percent of non-farmworker families thought there had been an increase in worry about immigration issues, while 78.95 percent said no.
Table 7.
Topics | Farmworker n=67 |
Non-Farmworker n=38 |
||
---|---|---|---|---|
n | % | n | % | |
| ||||
Discrimination and racism | ||||
Yes | 2 | 2.99 | 16 | 42.11 |
No | 4 | 5.97 | 22 | 57.89 |
Don’t know | 61 | 91.04 | 0 | - |
Immigration issues | ||||
Yes | 0 | - | 8 | 21.05 |
No | 7 | 10.45 | 30 | 78.95 |
Don’t know | 60 | 89.55 | 0 | - |
Farmworker families had few further comments concerning racism and discrimination at the community level. In contrast, non-farmworker families did express concerns. They noted that, as non-citizens, they were not being provided with financial assistance that citizens were receiving. One woman noted, “There are many people who have complained that we are not cared for the same [as citizens], and the language barrier does not help. We lose at everything. The government does not help with the relief from the President, who discriminates against those of us [even though we] pay taxes.” Priority for assistance for citizens was noted by women in financial matters, particularly in contrast for those without documents. Some believed that if they get sick, priority will be given to Americans in medical care. Another noted a specific example, that the pharmacy had started to be reluctant to give her child’s medicine to her without a US passport or US ID. Some perceived increased racism in their interactions with non-Latinx individuals. “People stare at us a lot in the grocery store,” one woman said. Another noted, “If you are in the US and Hispanic, they always look at you different; they look down on you.” An attitude to blame them for illness was noted: “I have heard people saying that Mexicans are going to get sick because they don’t take care of themselves.” Another noted, “They think that, because we are not from here, we are the ones that bring the diseases.”
Women in non-farmworker families also expressed fears related to immigration status that continue or are exacerbated by the pandemic. One stated, “If the President does not stop doing things, one is always at risk. There are many people deported, and people are still scared in this pandemic.” Another worried, “I am scared that, if we go out, they can detain me for lack of documentation.”
Overall concerns.
Fear, worry, and anxiety characterized the concerns expressed by women in rural farmworker families (Table 8). They were afraid of contracting COVID-19 and worried about bringing the disease home to their families. They seemed acutely aware that contracting COVID-19 might leave them unable to care for their children. Some had stopped work to care for their children, often because the cost of childcare (necessary because schools had closed) was more than they could afford with the low wages they earned. Economic concerns added to their worries, particularly paying for basic needs such as food and, if needed, healthcare for COVID-19. They were concerned for high-risk family members, and many knew someone who had been sick or died from COVID-19. Despite their concerns, they stated that they did not use masks when visiting households of relatives, either because they assumed that “family” would not be a source of infection or because they thought it would not “look good” to wear masks around relatives. One woman’s comment seemed to sum up those of the group: “This whole situation is stressing me out and giving me anxiety.”
Table 8.
Theme | Representative Quotations |
---|---|
| |
Concerned about contracting COVID-19 | • I work at a restaurant; I worry about getting infected and bringing it home. • I worry knowing the virus is everywhere and the fact that we cannot see it is causing me anxiety. We are afraid that we don’t know what day we are going to get sick. • Who would take care of my children if my partner and I get sick? • I worry that I will get sick and then, who will take care of my children? • I worry that I have to work, but I am scared to be around other people. |
Financial and insurance worries | • It is becoming very difficult for me to pay my bills because I am not working. • I had to stop working to take care of my children. [Because they are not in school,] I would not make enough to pay $15/day/child for child care. • I have to look for help with food from the pantry at the Episcopal church. • We are desperate with the situation. It worries me that if we get sick, how are we going to pay for the bill if we come out of the hospital alive? • If we get sick, what are we going to do to get ahead? • I am afraid of getting sick because I don’t have medical insurance to pay the bills. • [With closing of schools], now all my children are home and I have more expenses for food. |
Stopped working to care for children | • I stopped working so I could stay with my children at home and not have anyone else taking care of them. • I stopped working to take care of my three children [when school closed] because I would have to pay someone to take care of them and that is not feasible for me. • I need to work, but I can’t. I have no one to leave my children with, and I am afraid I will get sick. |
Visiting family without precautions | • My mother, two sisters, and mother-in-law live close by. We visit them without precautions because they are family. • We only visit among family and they are not sick. That’s the reason we don’t wear masks. • The people we visit are our cousins. It does not look good if we wear masks [when we visit them]. |
High risk family members | • One of my children has diabetes and I am worried about his health. I need to work, but, if I do, I would always be surrounded by people. • My partner and I have lost our jobs, but we have not looked for others because he has a kidney disease and we are afraid of getting sick. • I am worried when there will be a cure. My little daughter has been ill since she was born, and, if she is infected with the virus, her situation will be very critical. • I worry about the old lady who lives with us because, if she gets sick, she will not be able to resist the disease. |
Knows someone with COVID-19 | • My two nephews are with me now, in addition to my two children, because my brother and his wife are sick with the coronavirus. • A neighboring couple both tested positive. When I called her on the phone, it was very sad to hear her voice because she could hardly speak, and only cried, saying that she was afraid for her future. • My neighbor died a few days ago from the virus. I am afraid of getting sick, even if I take precautions. We did not visit each other, but we went walking on the street that separates our houses. • We were quarantined because [four neighbors] tested positive, and they had visited before anyone showed symptoms. Thank God we did not get sick, but we fear we might. |
Experiencing stress | • This situation is causing me a lot of stress and I feel sad. • This whole situation is stressing me out and giving me anxiety. |
Women in urban non-farmworker families had concerns that reflected the lower rates of employment in this group (Table 9). Like the women in rural farmworker families, worry and fear characterized their responses. They also had a different worry about their children that was not expressed by the rural women, that children were at home and could not go outside.
Table 9.
Theme | Representative Quotations |
---|---|
| |
Worries about children | • I am worried that, because of the pandemic, the children are not able to go out. • This whole situation worries me and especially that the children can’t go out. • I am very concerned about my children because [the current situation] is not that same as when they go to classes and are taught by their teacher. It is very different at home. • I am concerned about the children. They are not made to be locked up, though it is for their safety that they cannot out. |
Concerns about contracting COVID-19 | • People don’t understand that they need to protect themselves by wearing masks and staying home. • I am worried that my daughters will get infected. • We are scared of getting sick. • Everyone is afraid of getting [COVID-19]. Some people are not protecting themselves. |
Financial and insurance worries | • I am worried because I don’t have work, and it is worse in my country. • I am worried for my family because my husband does not have full time work. • We don’t have work, so we need to be directed to places that help pay rent. |
Experiencing stress | • I am worried because something else new comes out every day, and the numbers [of cases] are increasing. • I am worried about everything. |
Knows someone with COVID-19 | • We had a visitor with a fever who tested positive, and he had contact with my children |
Discussion
This survey of rural Latinx farmworker families and urban Latinx non-farmworker families demonstrated that these immigrants face a number of impacts of COVID-19 and that these impacts are sources of concern. About one in four women, both rural and urban, was out of work several months into the pandemic. Across both groups, many women and their spouses were working fewer hours than before the pandemic. Rural women reported fewer worksite accommodations for safety in the COVID-19 pandemic for themselves and their spouses than did urban women. Across the entire sample, only one person (an urban spouse) had been told to work from home. These work-related issues translated into economic concerns. These concerns were more severe among the urban non-farmworker families, among whom a much higher percentage viewed the likelihood of running out of money in the next three months as very likely. Similarly, urban women reported more food insecurity in the previous week and reported that restrictions in grocery stores and restaurant closures made it hard to get the food their families needed. Although almost all women reported children had received school books and assignments, most had concerns about how their children would learn at home. While urban women were generally satisfied with communications from the schools and thought children would be prepared or the next school year, rural women did not share these sentiments. Urban women expressed greater community climate concerns about racism and immigration issues than did rural women. These findings highlight the diversity of experience participating Latinx families reported during the COVID-19 pandemic.
Comparative national or regional data are difficult to find. Although many editorials concerning the vulnerability of farmworkers and other immigrant workers appeared quickly,e.g., 8, 12, 15, 16, 22, as did news reports,e.g., 9, 20, 21, 32 few empirical data were published in the months following the start of the pandemic. Thus, interpreting the data here is not as straightforward as it would be in other circumstances.
Some of the diversity of experience found in this study likely reflects differences between the rural and urban environments as well as between the two populations. The rural health literature has consistently shown that rural populations have less access to quality medical care and greater age-adjusted mortality.33 Such statistics are often linked to lower household incomes, less formal education, as well as distance to both formal medical services (e.g., specialty care) and health-promotion services (e.g., healthy food distribution). Environmentally, rural communities have consistently lower levels of investment in the social determinants of health such as housing, emergency services, libraries, parks, and other services than urban communities.34 Socially, rural communities are often thought to provide stronger notions of community and support, based on a willingness to work together and pride in place.33 These rural-urban differences observed in other situations are reflected in this study. Even among these immigrants, the urban sample has higher levels of education, as demonstrated by high school completion rates. Workplace COVID-19 responses also appear better in the urban setting. Most urban women who were employed reported some workplace accommodations for COVID-19 for themselves as well as for their spouses. Workplace accommodations for rural women and for their spouses were less frequent.
The experiences of limited workplace COVID-19 accommodations for this population of rural North Carolina farmworker families is similar to that widely reported for farmworkers in other regions and for workers in other aspects of the food system.8 Meatpacking workers, for example, had high rates of COVID-19 transmission at worksites, attributed largely to failure of employers to separate workstations and alleviate economic pressures on workers (e.g., low wages, lack of paid sick leave) that led to their coming to work while sick. Ramos and colleagues point out the contrast between the employer neglect of worker protections in food system workers and the swift moves of employers and governments to protect healthcare workers, which the authors attribute to the relatively higher status of the healthcare profession as well as the preponderance of immigrant workers in food system jobs.8
Nationwide, parents with children in kindergarten to twelfth grade showed a decline in satisfaction with child education when surveyed in early August 2020, compared to the previous year.35 It is impossible to know why rural women in the present study were less satisfied with their children’s education and communications from schools than were urban women. It is possible that rural parents have less direct contact with the schools because they are more likely to be employed, are socially isolated, and do not drive,36,37 so their children are usually bussed to school, unlike the situation in the urban schools (observed by the authors through their participation in the programs of the community partner) where women in this study were less likely to be employed outside the home and often walk children to and from neighborhood schools and interact with school staff. It is also likely that, although rural children did have internet access from home, the quality of that connection was poorer than in the urban homes.38,39
The rural women had trouble answering questions about changes in their community’s concerns about racism and discrimination, while over 40 percent of urban women reported they were worrying more about racism and discrimination than previously. It is possible that rural women had little experience of recently changing attitudes because of their isolation. Many live on or near land owned by growers, do not drive, and go to businesses such as grocery stores infrequently.36,37 Despite the differences between the rural and urban concerns, women in both samples expressed similar emotions and resulting mental health effects. Fear and worry were expressed by many women. They were afraid they would get sick and not be able to take care of their children. They worried that they had to go to work, but did not know if they would be exposed to COVID-19 by co-workers or others they encountered in the workplace. They were afraid they would not have enough money to pay bills. They worried about being exposed to the virus and bringing it home. They expressed desperation, anxiety, and stress in reaction to this fear and worry. Mental health data gathered nationally early in the pandemic showed increased effects on mental health40 and suggested that the effects would result in more mental health impairment in disadvantaged groups, such as immigrants, as they coped with greater financial insecurity and grief caused by greater pandemic morbidity and mortality.40,41 In addition, we have shown elsewhere10 that these women were well informed about the causes of COVID-19 and recommended practices to prevent it. Their comments here reflect this knowledge and their inability to practice some of the methods to prevent COVID-19 in their families.
Understanding the impact of the COVID-19 pandemic on immigrants is aided by the use of a social justice framework and the idea of structural violence.42–44 Scholars have noted that exposure to social injustices results in effects over time on well-being, effects termed structural violence. Generally, such effects are slow and, some42 would argue, silent, reflecting the accumulation of exposure to risks over time, “slow violence”.45 However, events such as environmental disasters (e.g., hurricanes, wildfires, pandemics) place those suffering from slow violence at extreme risk. This extreme risk stemming from unexpected events has been termed “contextual vulnerability”.46–48 Both the long term compromised well-being and the socioeconomic context in which the disaster occurs focus risk on the immigrant Latinx population. In the current study, this contextual vulnerability due to the pandemic played out in several ways, but economic effects were most evident. Because access to resources and the ability to reduce exposure and recover from the effects of the pandemic are not uniformly distributed, Latinx immigrants were forced (in the case of women) to reduce household income by reducing work hours or giving up low paying jobs to care for children receiving school instruction at home, while spouses continued to experience disease exposure in their own low paying jobs that were either deemed essential to society or are, in fact, essential to their household’s survival. As immigrants and largely undocumented, these workers were not eligible for government payments made early in the pandemic to help low income families cope with the financial impact. The experience with childcare and women’s employment found in this study is consistent with that reported by the Urban Institute from a rapid assessment conducted in May 2020 among parents of young children.49 Many more parents reported that they were caring for their own children at home during the pandemic than had done so before. Correspondingly, fewer were using the usual paid childcare options of childcare centers, relatives or friends, or professional childcare in the home. Lower income households were twice as likely as high income households to report that they would be unable to return to pre-pandemic childcare arrangements as the economy opened up.
Policy implications
This study highlights the added burden caused by the pandemic for these already vulnerable workers. It demonstrates the increased risks they have faced during the pandemic that likely help explain the high morbidity and mortality in the Latinx population that has been observed since the start of the pandemic.50
Using the lens of structural violence makes clear that solutions to the situation experienced by these and other immigrant workers lie in structural changes to the labor and immigration policies that place these workers in jeopardy. These include measures to increase wages and benefits such as paid sick leave, and mandate eligibility of workers (regardless of documentation status) for government relief programs (e.g., unemployment, childcare subsidies, and emergency rental assistance). The workers in the present study simply could not afford to stay home, a situation that has been highlighted for other Latinx populations.51,52
Beyond these policies, strengthening worker safety and health protections is needed. Most of the workplace issues reported by the women in this study for themselves and their partners would be covered under the General Duty Clause of the US Occupational Safety and Health Act, since no specific regulations for COVID-19 existed. The Occupational Safety and Health Administration (OSHA) released a pamphlet, “Guidance on Preparing Workplaces for COVID-19”52 in early March, but no specific policies or enforcement orders were forthcoming. Without this, employers are not compelled to implement protections for workers.
Limitations and strengths
This study has several limitations that should be considered. All behaviors were self-reported and not observed. The women interviewed also reported for their spouses. Data could not be verified and may be inaccurate or distorted because of social desirability, the tendency of respondents to state what they perceive to be socially acceptable answers.,53 Small sample sizes prevent more detailed analyses of quantitative data. There was greater uniformity in occupations within the rural group, which makes their responses easier to interpret.
Nevertheless, this study has several strengths, including being the extension of a community-based participatory research study that the authors began in 1996. This history provides considerable ethnographic knowledge of the communities, as well as rapid access during the early pandemic. An additional strength was the scheduling of data collection within a short time (the month of May), a time during which national information about prevention and state regulations were relatively stable. By the time of data collection, emerging research had established the importance of physical distancing and mask use over the initial emphasis on hand hygiene and cleaning surfaces.54–56 Another strength was that all families in this study would have been subject to the same North Carolina governmental orders. Finally, the survey was structured and administered in ways known to reduce social desirability and proxy bias.10, 57
Conclusions
Overall, this study represents a unique opportunity to document the concerns of Latinx immigrants in North Carolina during the early days of the COVID-19 pandemic. In particular, farmworkers are often a hidden and difficult to reach population. This study demonstrates that both rural and urban Latinx immigrants have substantial concerns about their families’ vulnerability in the COVID-19 pandemic. While the content of these worries differs some between urban and rural, the emotional response is the same. The information provided by the women in this study indicates that concerns are well founded. Workplaces, most of them like farm work and construction labeled as essential, are not providing protections for workers; and the need to provide childcare has taken many women out of the labor force. At least in the urban areas, families are encountering more overt racism and are worried about immigration issues.
The results of this study illustrate the contextual vulnerability of Latinx immigrants in North Carolina. Several policy reforms have been identified that can help to alleviate this. Labor and immigration policies are needed so that those immigrants doing essential work can have increased wages and access benefits available to other workers, including sick leave, family leave, nutrition benefits, and healthcare. Policies related to worker safety and health that are specific to COVID-19 are needed to provide protections in the workplace.
Acknowledgments
The authors appreciate the support and participation of their community partner, the NC Farmworkers Project, and of Student Action with Farmworkers. They also appreciate the valuable contributions of our community field interviewers in carrying out participant recruitment and data collection. They especially thank the mothers who participated in this study.
Funding
This research was funded by the National Institute of Environmental Health Science, Grant/Award Number R01 ES08739.
Footnotes
Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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