Introduction
From March 24 to May 30, 2020, the Federal health authorities in Mexico recommended restricting operations in public institutions and private companies and staying at home to help contain the coronavirus disease 2019 (Covid-19).1,2,3 Mobility decreased to 67%, yet, 75% of people still reported having to leave their house.4,5 As in other low and middle-income countries, a large proportion of the Mexican population lives in multigenerational and crowded households with limited sanitary conditions and participate in informal and precarious jobs, forcing household members to work even under stay-at-home orders.6
Home confinement is a key non-pharmacological intervention for the Covid-19 response. Nevertheless, the effectiveness of this intervention may be reduced if household conditions increase the probability of transmission. Across the world, SARS-CoV-2 household transmission has been heterogeneous, ranging from 0% in South Korea to 45% in Treviso, Italy.7 Understanding the drivers of household transmission is key to increase the effectiveness and safety of home confinement.
Prior studies have shown that the number of SARS-CoV-2 seropositive members at home increases the more the family size.7 Although evidence is still limited, transmission seems to be higher in adults than in children and between spouses than among other family members.7 Less is known about the association between housing characteristics and seropositivity in households. However, potential proposed risk factors include a smaller number of bedrooms, poor sanitary services, and the use of air conditioning systems over natural ventilation.8,9
We aimed to assess the potential association of family and housing characteristics with the number of seropositive cases to SARS-CoV-2 in Mexican households. Using data from the Encuesta Nacional de Salud y Nutrición (Ensanut) 2020 Covid-19, we selected households with at least two blood samples and at least one seropositive household member as a proxy of household transmission. Then, we compared family and household characteristics by the number of seropositive members and fitted adjusted models to identify potential conditions that could increase household transmission.
Materials and methods
Study design and population
Mexico’s 2020 Ensanut was dedicated to the analysis of Covid-19. This is a representative survey of the national, urban/rural, and regional levels. Data collection spanned from August to November 2020 and obtained sociodemographic and health characteristics through questionnaires from 10 216 households and 36 024 individuals. Participants were selected at random at each household to obtain a blood sample from each of the following age groups: 1-4 years, 5-9 years, 10-19 years, 20-34 years, 35-49 years, and 50 or more years. A total of 9 640 participants from 5 648 households provided a blood sample (44% response rate).10 Given our aim of assessing the number of seropositive cases to SARS-CoV-2 at the household level as a proxy for family transmission, we selected a group of 874 households where at least two members provided a blood sample and where at least one member was IgG positive to SARS-CoV-2, representing 5 576 886 households in Mexico.
Study variables
Number of seropositive cases to SARS-CoV-2 at the household level. Anti-SARS-CoV-2 antibodies were determined through immunoglobulin G detection against protein N using the Roche Elecsys test. For this analysis, we created a variable that indicated the number of household members positive to SARS-CoV-2.
Family and housing characteristics. We considered the family and households characteristics collected as part of the 2020 Ensanut that, based on literature, can be associated with the seropositivity to SARS-CoV-2 in households.7,11,12
Family structure. Households were classified into three categories depending on whether they were composed of children (0-9 years), adolescents (10-19 years), adults (20-59 years), and/or older adults (≥60 years). Family composition was then classified as follows: 1) adults and/or older adults; 2) children/adolescents and adults, and 3) children/adolescents, adults, and older adults.
Housing characteristics
Number of household members per bedroom. The number of members divided by the number of bedrooms, classified as non-response, <2, 2, or >2 members per bedroom.
Household services. Household services were reported by the head of the household and included the availability of a bathroom connected to the sewer system, access to piped water, and the need to share the bathroom with members of a different household.
Natural ventilation. To assess the use of natural ventilation, Ensanut interviewers observed open windows during their visit to the household. They reported if open windows were visible as “yes”, “no”, or “no windows visible”.
Covariates
Number of household members. The total number of household members was classified as 2, 3-4, ≥5 members.
Socioeconomic level. A socioeconomic index was estimated by applying principal component analysis to eight household characteristics, services, and assets, and five electrical devices.13 The socioeconomic index was divided into low, medium, and high levels, using tertiles as cut-off points.
Region of residence. Ensanut defined nine regions to group the states where participating households were located. Regions include Pacific-North, Border, Pacific-Center, Center-North, Center, Mexico City, State of Mexico, South Pacific, and Peninsula.14
Statistical analysis
A descriptive analysis was conducted using percentages and 95% confidence intervals to present the distribution of seropositive members in households (1, 2, or ≥3) by family structure and housing characteristics. A Poisson regression model with robust standard errors15,16 was fit to determine the association between family structure and housing characteristics and the number of seropositive household members, adjusting for socioeconomic level and region. We also adjusted the model for the sampling design variables to account for the survey design. Given that the number of seropositive cases in households is highly correlated to household size, we included a fixed effect for household size in the model to restrict comparisons to households with the same total number of household members. All statistical analyses were carried out in Stata 14.0.*
Results
Among households with more than one member and at least one IgG anti-SARS-CoV-2 seropositive case, 49.6% had only one seropositive member, 36.2% had two, and 14.2% had three or more seropositive members (table I). Families composed of adults and older adults had a lower frequency of three and more seropositive members (4.7%), compared to households with children/adolescents and adults (15.6%), and to families with children/adolescents, adults, and older adults (18.7%). Households with more than two members per room had a higher prevalence of three and more seropositive members (18.3%), compared to households with two (12.5%) and less than two members per room (11.6%).
Household members with anti-SARS-CoV-2 IgG antibodies |
||||||
1 |
2 |
≥3 |
||||
% |
95%CI |
% |
95%CI |
% |
95%CI |
|
Total |
49.6 |
(46.0,53.2) |
36.2 |
(32.9,39.7) |
14.2 |
(12.0,16.7) |
Family structure |
||||||
Adults and/or older adults |
57.0 |
(49.6,64.1) |
38.3 |
(31.4,45.8) |
4.7 |
(2.6,8.3) |
Children/adolescents and adults |
49.5 |
(44.9,54.0) |
35.0 |
(30.7,39.5) |
15.6 |
(12.3,19.6) |
Children/adolescents, adults, and older adults |
44.1 |
(37.9,50.5) |
37.2 |
(31.1,43.9) |
18.7 |
(14.3,24.1) |
Housing characteristics |
||||||
Number of members per bedroom |
||||||
<2 |
52.3 |
(47.4,57.2) |
36.1 |
(31.4,41.1) |
11.6 |
(8.3,15.8) |
2 |
54.3 |
(45.6,62.7) |
33.3 |
(25.7,41.8) |
12.5 |
(8.2,18.5) |
>2 |
44.7 |
(39.4,50.1) |
37.0 |
(31.8,42.5) |
18.3 |
(14.6,22.7) |
No response of the number of bedrooms |
22.5 |
(6.1,56.6) |
63.1 |
(36.5,83.5) |
14.4 |
(5.1,34.3) |
Bathrooms with direct water discharge |
||||||
Yes |
49.3 |
(45.1,53.5) |
36.3 |
(32.5,40.3) |
14.4 |
(11.7,17.6) |
No |
51.5 |
(45.2,57.7) |
35.0 |
(29.1,41.4) |
13.5 |
(9.8,18.4) |
Did not answer |
22.5 |
(6.1,56.6) |
63.1 |
(36.5,83.5) |
14.4 |
(5.1,34.3) |
Shared bathrooms with other households |
||||||
Yes |
46.7 |
(34.6,59.2) |
32.3 |
(22.6,43.9) |
21.0 |
(12.9,32.3) |
No |
49.9 |
(46.2,53.7) |
36.3 |
(32.8,39.9) |
13.8 |
(11.5,16.4) |
Did not answer |
42.2 |
(20.6,67.3) |
47.1 |
(26.0,69.2) |
10.7 |
(3.8,26.9) |
Open windows |
||||||
Yes |
50.2 |
(45.8,54.5) |
35.5 |
(31.5,39.8) |
14.3 |
(11.7,17.3) |
No |
47.8 |
(40.5,55.1) |
37.9 |
(30.8,45.6) |
14.3 |
(9.9,20.2) |
No windows visible |
49.6 |
(39.4,59.9) |
37.4 |
(27.2,48.8) |
13.0 |
(6.6,23.9) |
Piped water |
||||||
Yes |
49.6 |
(46.0,53.2) |
36.3 |
(32.9,39.9) |
14.1 |
(11.8,16.6) |
No |
58.4 |
(34.8,78.8) |
24.0 |
(11.3,44.0) |
17.5 |
(4.7,47.5) |
Did not answer |
22.5 |
(6.1,56.6) |
63.1 |
(36.5,83.5) |
14.4 |
(5.1,34.3) |
Covariates |
||||||
Household size |
||||||
2 |
64.6 |
(51.3,76.0) |
35.4 |
(24.0,48.7) |
0.0 |
- |
3-4 |
51.7 |
(46.9,56.5) |
38.7 |
(34.2,43.3) |
9.6 |
(7.0,13.1) |
≥5 |
45.4 |
(40.4,50.5) |
34.1 |
(29.6,38.8) |
20.5 |
(17.0,24.7) |
Socioeconomic level |
||||||
Low |
47.2 |
(41.4,53.0) |
36.3 |
(31.4,41.5) |
16.5 |
(12.7,21.3) |
Medium |
51.3 |
(45.1,57.5) |
38.4 |
(32.3,44.9) |
10.3 |
(7.2,14.4) |
High |
50.3 |
(43.7,57.0) |
33.8 |
(27.8,40.4) |
15.9 |
(11.7,21.3) |
Region |
||||||
Pacific-North |
35.2 |
(25.9,45.7) |
48.4 |
(39.1,57.8) |
16.4 |
(10.7,24.3) |
Border |
54.2 |
(45.0,63.0) |
30.2 |
(23.6,37.8) |
15.6 |
(10.2,23.2) |
Pacific-Center |
54.9 |
(41.9,67.2) |
32.1 |
(18.8,49.1) |
13.0 |
(6.1,25.6) |
Center-North |
57.5 |
(44.0,69.9) |
28.2 |
(16.7,43.6) |
14.2 |
(7.3,26.0) |
Center |
56.4 |
(47.4,65.0) |
30.3 |
(23.2,38.5) |
13.3 |
(7.8,21.8) |
Mexico City |
45.2 |
(33.1,57.8) |
39.6 |
(30.8,49.0) |
15.3 |
(8.1,26.9) |
State of Mexico |
54.3 |
(42.5,65.7) |
37.0 |
(27.6,47.5) |
8.7 |
(4.5,16.3) |
South Pacific |
47.2 |
(38.3,56.3) |
34.7 |
(27.8,42.4) |
18.1 |
(11.2,27.8) |
Peninsula |
42.4 |
(34.1,51.2) |
43.2 |
(34.6,52.2) |
14.4 |
(11.2,18.3) |
Ensnaut: Encuesta Nacional de Salud y Nutrición
Table II5 presents the adjusted association between the number of seropositive household members and the familial composition and housing characteristics. Families composed of children/adolescents, adults, and older adults had, on average, 1.07 (95%CI: 1.03, 1.11) times as many members with anti-SARS-CoV-2 antibodies as families composed of adults and older adults. Households with more than two members per bedroom had, on average, 1.07 (95%CI: 1.05, 1.09) times the number of members with antibodies than households with less than two members per bedroom. The average number of seropositive members in households with natural ventilation was 6% lower than in households without it (95%CI: 0.92, 0.97).
Multivariable model* |
||
IRR |
95%CI |
|
Family structure |
||
Adults and/or older adults |
REF |
|
Children/adolescents and adults |
1.03 |
(0.98, 1.08) |
Children/adolescents, adults, and older adults |
1.07 |
(1.03, 1.11) |
Housing characteristics |
||
Number of members per bedroom |
||
<2 |
REF |
|
2 |
1.04 |
(1.00, 1.09) |
>2 |
1.07 |
(1.05, 1.09) |
Bathrooms with direct water discharge |
||
No |
REF |
|
Yes |
1.01 |
(0.97, 1.05) |
Shared bathrooms with other households |
||
No |
REF |
|
Yes |
0.95 |
(0.89, 1.02) |
Open windows |
||
No |
REF |
|
Yes |
0.94 |
(0.92, 0.97) |
Piped water |
||
No |
REF |
|
Yes |
1.04 |
(0.94, 1.15) |
SARS-CoV-2: severe acute respiratory syndrome coronavirus 2: Ensanut: Encuesta Nacional de Salud y Nutrición; Covid-19: coronavirus disease 2019; IRR: incidence rate ratio; CI: confidence intervals.
* Adjusted for socioeconomic level (low, medium, and high) and region (Pacific-North, Border, Pacific-Center, Center-North, Center, Mexico City, State of Mexico, South Pacific, and Peninsula), and sampling design variables. The model includes fixed-effect on household size.
Source: Ensanut 2020 Covid-19.5
Discussion
A higher number of seropositive members was observed in families with children/adolescents, adults, and older adults. The survey design did not allow us to identify the index case; however, it would be expected that fewer children and adolescents were in the index case because they have received virtual learning since March 2020, reducing their contact with non-household members. This might not be the case for adolescents who left their houses to conduct non-educational activities.17
A higher number of household members per bedroom was associated with a higher number of SARS-CoV-2 seropositive members in the household. Close interactions are expected to last longer if bedrooms are shared, facilitating disease transmission.12 In Mexico, more than 50% of households have more than 3.7 inhabitants, and 9.7% of families live in overcrowded conditions, which could have facilitated infection.18,19 We also observed a lower number of seropositive household members in houses with open windows, suggesting that natural ventilation could help reduce the probability of infection.
Our study has important limitations. We did not have complete coverage of household members or the specific infection dates, as required by household transmission studies. Therefore, we do not rule out that some individuals acquired the infection through other non-household members. Yet, we restricted comparisons to households with the same total number of members and, given the random selection of members, were able to examine the number of seropositive cases across households. Also, we cannot rule out the possibility of selection bias given the response rate. The sensitivity analysis by Abreu and colleagues suggest that individuals with Covid-19 related symptoms were more likely to provide a blood sample. However, the impact on the seroprevalence was small after accounting for this potential bias.** While household transmission studies with complete coverage of household members will be needed to confirm our results, our analysis provides a first assessment of the potential role of familial composition and housing characteristics in SARS-CoV-2 infection.
Home confinement is a useful tool for disease transmission control. Yet, structural conditions in low- and middle-income countries could decrease its effectiveness. In our analysis, multigenerational and crowded households seemed to be at higher risk of infection. Our findings reiterate the importance of safe isolation at home in well-ventilated rooms, which may not be possible for an important proportion of the Mexican population. Given the structural limitations of families in our country, voluntary isolation centers should be made available, especially for multigenerational and crowded households.6