Table 2. Main characteristics of systematic reviews.
Study ID (n=9) | Fulfils
systematic review methods |
Research question (search date up to) | No. of included studies
(No. of participants) |
Main results | Key conclusions |
---|---|---|---|---|---|
Chen 2020 | Yes | To estimate seroprevalence by different types of
exposures, within each WHO region, we categorized all study participants into five groups: 1) close contacts, 2) high-risk healthcare workers, 3) low-risk healthcare workers, 4) general populations, and 5) poorly-defined populations (Search from Dec 1, 2019 to Sep 25, 2020). |
230 studies involving
1,445,028 participants were included in our meta-analysis after full-text scrutiny: Close contacts 16 studies 2901 positives out of 9,349 participants |
Estimated seroprevalence of all infections, 22.9% [95% CI,
11.1–34.7] compared to relatively low prevalence of SARS- CoV-2 specific antibodies among general populations, 6,5% (5.8–7.2%) see Appendix table 15 (page 152). The overall risk of bias was low. |
There were a very limited number of high-quality studies
of exposed populations, especially for healthcare workers and close contacts, and studies to address this knowledge gap are needed. Pooled estimates of SARS-CoV-2 seroprevalence based on currently available data demonstrate a higher infection risk among close contacts and healthcare workers lacking PPE, |
Chu 2020 | Yes | To investigate the effects of physical distance, face
masks, and eye protection on virus transmission in health-care and non-health-care (eg, community) settings (We searched up to March 26, 2020) |
Identified 172 studies; 44
studies included in the meta-analysis which 7 were Covid-19 |
A strong association was found of proximity of the exposed
individual with the risk of infection (unadjusted n=10 736, RR 0·30, 95% CI 0·20 to 0·44; adjusted n=7782, aOR 0·18, 95% CI 0·09 to 0·38; absolute risk [AR] 12·8% with shorter distance vs 2·6% with further distance, risk difference. There were six studies on COVID-19, the association was seen irrespective of causative virus (p value for interaction=0·49). The risk of bias was generally low-to-moderate. |
Physical distancing of at least 1 m is strongly associated
with protection, but distances of up to 2 m might be more effective. |
Fung 2020 | Yes | To review and analyze available studies of the
household SARs for SARS-CoV-2. Searched PubMed, bioRxiv, and medRxiv on 2 September 2020 for published and prepublished studies reporting empirical estimates of household SARs for SARS-CoV-2. Considered only English-language records posted on or after 1 January 2019. Inclusion criteria: Reported estimates of the household SAR or the data required to compute the household SAR; (2) comprised data from more than 1 household; and (3) they tested—at a minimum—all symptomatic household contacts by reverse transcription polymerase chain reaction (RT-PCR). |
22 papers met the eligibility
criteria: 6 papers reported results of prospective studies and 16 reported retrospective studies. The number of household contacts evaluated per study ranged from 11 to 10592. |
The 22 studies considered 20 291 household contacts, 3151
(15.5%) of whom tested positive for SARS-CoV-2. Household secondary attack rate estimates ranged from 3.9% in the Northern Territory, Australia to 36.4% in Shandong, China. The overall pooled random-effects estimate of SAR was 17.1% (95% confidence interval [CI], 13.7–21.2%), with significant heterogeneity (p<0.0001). The household secondary attack rates was highest for index cases aged 10–19 years (18.6%; 95% CI, 14.0–24.0%) and lowest for those younger than 9 (5.3%; 95% CI, 1.3–13.7%). 4 of the studies were judges as high quality; 14 as moderate quality; and 4 as low quality. Between-study variation could not be explained by differences in study quality. |
Secondary attack rates reported using a single follow-up
test may be underestimated, and testing household contacts of COVID-19 cases on multiple occasions may increase the yield for identifying secondary cases. There is a critical need for studies in Africa, South Asia and Latin America to investigate whether there are setting-specific differences that influence the household SAR. |
Koh 2020 | Yes | The secondary attack rate (SAR) in household and
healthcare settings. Search between Jan 1 and July 25, 2020. |
118 studies, 57 were included
in the meta-analyses. |
Pooled household SAR 18.1% (95% CI: 15.7%, 20.6%)
significant heterogeneity (p <0.001). No significant difference in secondary attack rates in terms of the definition of household close contacts, whether based on living in the same household (18.2%; 95% CI: 15.3%, 21.2%) or on relationships such as family and close relatives (17.8%; 95% CI: 13.8%, 21.8%) In three studies, the household secondary attack rates of symptomatic index cases (20.0%; 95% CI: 11.4%, 28.6%) was higher than asymptomatic ones (4.7%; 95% CI: 1.1%, 8.3%) SAR from 14 studies showed close contacts adults were more likely to be infected compared to children (<18), relative risk 1.71 (95% CI: 1.35, 2.17). 43 high-quality studies were included for meta-analysis. |
There was variation in the definition of household
contacts; most included only those who resided with the index case, some studies expanded this to include others who spent at least a night in the same residence or a specified duration of at least 24 hours of living together, while others included family members or close relatives. |
Li 2020 | No (quality
assesment not performed) |
~Carriage and transmission potential of SARS-
CoV-2 in children in school and community settings (Search performed on 21 June 2020 with entry date limits from late 2019) |
33 studies were included for
this review. Four new studies on SARS-CoV-2 transmission in school settings were identified. |
There is a lack of direct evidence on the dynamics of child
transmission, however the evidence to date suggests that children are unlikely to be major transmitters of SARS-CoV-2. |
The balance of evidence suggests that children play
only a limited role in overall transmission, but it is noted that the relative contribution of children to SARS-CoV-2 transmission may change with reopening of society and schools |
Ludvigsson 2020 | No (quality
assesment not performed) |
Are children the main drivers of the COVID‐19
pandemic (Search to 11 May 2020) |
47 full texts studied in detail. | This review showed that children constituted a small fraction
of individuals with COVID‐19 |
Children are unlikely to be the main drivers of the
pandemic. Data on viral loads were scarce, but indicated that children may have lower levels than adults, |
Madewell 2020 | Yes | What is the household secondary attack rate for
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)? ( Searched through Oct 19, 2020) single database assessed |
54 studies with 77,758
participants |
Household secondary attack rates was 16.6%; restricted index
cases to children (<18 years), lower SAR of 0.5% Secondary attack rates for household and family contacts 3 times higher than for close contacts (4.8%; 95% CI, 3.4%- 6.5%; P < .001); Estimated mean household secondary attack rates from symptomatic index cases (18.0%; 95% CI, 14.2%-22.1%) higher than from asymptomatic or presymptomatic index cases (0.7%; 95% CI, 0%-4.9%; P < .001), there were few studies in the latter group. Infection risk was highest for spouses, followed by nonspouse family members and other relatives, all higher than other contacts. Estimated mean household secondary attack rates to spouses (37.8%; 95% CI, 25.8%-50.5%) higher than to other contacts (17.8%; 95% CI, 11.7%-24.8%). Significant heterogeneity was found among studies of spouses (I2 = 78.6%; P < .001) and other relationships (I2 = 83.5%; P < .001). Contact frequency with index case associated with higher odds of infection, At least 5 contacts during 2 days before the index case was confirmed; at least 4 contacts and 1 to 3 contacts, or frequent contact within 1 meter. Secondary attack rates for households with 1 contact (41.5%; 95% CI, 31.7%-51.7%) higher than households with at least 3 contacts (22.8%; 95% CI, 13.6%-33.5%; P < .001) but not different than households with 2 contacts (38.6%; 95% CI, 17.9%-61.6%). There was significant heterogeneity in secondary attack rates between studies with 1 contact (I2 = 52.9%; P = .049), 2 contacts (I2 = 93.6%; P < .001), or 3 or more contacts (I2 = 91.6%; P < .001). Information was not available on household crowding. A total of 16 of 54 studies (29.6%) were at high risk of bias, 27 (50.0%) were moderate, and 11 (20.4%) were low. |
Secondary attack rates were higher in households
from symptomatic index cases than asymptomatic index cases, to adult contacts than to child contacts, to spouses than to other family contacts, and in households with 1 contact than households with 3 or more contacts. Our study had several limitations. The most notable is the large amount of unexplained heterogeneity across studies. This is likely attributable to variability in study definitions of index cases and household contacts, frequency and type of testing, sociodemographic factors, household characteristics (eg, density, air ventilation), and local policies (eg, centralized isolation). The findings of this study suggest that households are and will continue to be important venues for transmission, even where community transmission is reduced. |
Xu 2020 | Yes | Evidence for transmission of COVID-19 by
children in schools ( search in MEDLINE up to 14 September 2020. Further hand-searched reference lists of the retrieved eligible publications to identify additional relevant studies). Included children (defined as ≤18 years old) who were attending school, and their close contacts (family and household members, teachers, school support staff) during the COVID-19 pandemic |
11 studies were included: 5
cohort studies and 6 cross- sectional studies. |
Overall infection attack rate (IAR) in cohort studies: 0.08%,
95% CI 0.00%-0.86%. IARs for students and school staff were 0.15% (95% CI 0.00%-0.93%) and 0.70% (95% CI = 0.00%- 3.56%) respectively (p<0.01). Six cross-sectional studies reported 639 SARS-CoV-2 positive cases in 6682 study participants tested [overall SARS-CoV-2 positivity rate: 8.00% (95% CI = 2.17%-16.95%). SARS-CoV-2 positivity rate was estimated to be 8.74% (95% CI = 2.34%-18.53%) among students, compared to 13.68% (95% CI = 1.68%-33.89%) among school staff (p<0.01). Overall study quality was judged to be poor with risk of performance and attrition bias |
There is limited high-quality evidence to quantify the
extent of SARS-CoV-2 transmission in schools or to compare it to community transmission. Emerging evidence suggests lower IAR and SARS-CoV-2 positivity rate in students compared to school staff. |
Yanes-Lane 2020 | Yes | Proportion of asymptomatic infection among
coronavirus disease 2019 (COVID-19) positive persons and their transmission potential. (Search up to up to 22 June 2020) |
28 moderate/high quality
studies included; 43 low quality studies excluded |
Asymptomatic COVID-19 infection at time of testing ranged
from 20% - 75%; among three studies in contacts it was 8.2% to 50%. Asymptomatic infection in obstetric patients pooled proprtion was 95% (95% CI, 45% to 100%) of which 59% (49% to 68%) remained asymptomatic through follow-up; Among nursing home residents, the proportion of asymtomoatic was 54% (42% to 65%) of which 28% (13% to 50%) remained asymptomatic through follow-up. |
The proportion of asymptomatic infection among
COVID-19 positive persons appears high and transmission potential seems substantial. |
Zhu 2020 | Meta-analysis:
Quality assessment not performed |
Role of children in SARS-CoV-2 in household
transmission clusters ( Search between Dec, 2019 & Aug, 2020). |
57 articles with 213 clusters | 8 (3.8%) transmission clusters were identified as having
a paediatric index case. Asymptomatic index cases were associated with lower secondary attack rates in contacts than symptomatic index cases [RR] 0.17 (95% CI,0.09–0.29). SAR in paediatric household contacts was lower than in adult household contacts (RR, 0.62; 95% CI, 0.42–0.91). |
The data suggest that should children become infected
at school during this period, they are unlikely to spread SARS-CoV-2 to their co-habiting family members. |