| Literature DB >> 35136866 |
Rosa Jahn1, Maren Hintermeier1, Kayvan Bozorgmehr1,2.
Abstract
OBJECTIVES: Despite concerns about the impact of the severe acute respiratory syndrome corona virus (SARS-CoV-2) in refugee camps, data on attack rates and effectiveness of containment measures are lacking. We aimed to (1) quantify the attack rate of SARS-CoV-2 during outbreaks in reception and accommodation centres in Germany during the first pandemic wave, (2) assess differences in the attack rate based on containment measures, and (3) provide an overview of testing strategies, communication, conflicts, and protection measures for refugees with special needs.Entities:
Keywords: Asylum seekers; Migration; Refugee camps; SARS-CoV-2; Web-based systematic review
Year: 2022 PMID: 35136866 PMCID: PMC8815301 DOI: 10.1016/j.jmh.2022.100084
Source DB: PubMed Journal: J Migr Health ISSN: 2666-6235
Fig. 1PRISMA flow chart.
PCR-confirmed SARS-CoV-2 cases per outbreak and population size per centre, overall and by centre type, N = 101 outbreaks in 14 federal states, Germany.
| Reception Centre (RC) | Accommodation Centre (AC) | Overall | ||||
|---|---|---|---|---|---|---|
| Cases (n) | Inhabitants (N) | Cases (n) | Inhabitants (N) | Cases (n) | Inhabitants (N) | |
| Mean | 55.77 | 360.27 | 15.95 | 121.16 | 26.2 | 182.71 |
| SD | 86.35 | 215.47 | 19.72 | 125.17 | 49.58 | 185.04 |
| Md | 20.5 | 309.5 | 7 | 88 | 8 | 118 |
| Min | 1 | 39 | 1 | 11 | 1 | 11 |
| Max | 400 | 792 | 86 | 850 | 400 | 850 |
Legend: n= PCR-confirmed SARS-CoV-2 cases, N= Total number of inhabitants (at-risk population) SD= standard deviation; Md= Median; Min=Minimum; Max=Maximum
Fig. 2Forest plot of attack rates for each facility and pooled estimates, by type of quarantine, N = 101 outbreaks in 14 federal states, Germany
Legend: ES: estimate of attack rates. I2: I-squared measure of heterogeneity. Information on quarantine measures was not reported for one outbreak (missing = 1). Y-axis: attack rate in percentages. Federal states: BB: Brandenburg; BE: Berlin; BW: Baden-Württemberg; BY: Bavaria; HB: Bremen; HE: Hesse; MV: Mecklenburg Western Pomerania; NI: Lower Saxony; NW: Northrhine-Westphalia; RP: Rhineland Palatinate; SN: Saxony; ST: Saxony-Anhalt; SH: Schleswig Holstein; TH: Thuringia.
Absolute and relative frequency of outbreaks by quarantine measure and testing strategy.
| Quarantine measure | Mass testingn (%) | Targeted testing or test-information N/A*n (%) | TotalN (%) |
|---|---|---|---|
| Mass quarantine | 50 (65.79%) | 26 (34.21%) | 76 (100%) |
| No mass quarantine + | 11 (44.00%) | 14 (56.00%) | 25 (100%) |
| Total | 61 (60.40%) | 40 (39.60%) | 101 (100%) |
| Pearson chi2(1) = 3.7340 p = 0.053 | |||
Legend: Pearson chi2: chi-square test statistic. p: p-value. *Information on testing strategy not available (not reported). +Includes n=1 centre for which Information on quarantine measures was missing/not reported. n: absolute frequency. %: percentage. N= totals.
Rate ratios of SARS-CoV-2 attack rates (per 100.000) obtained by multiple negative binomial regression model, N=100 outbreaks in 14 federal states, Germany.
| Variable (vs. reference) | RR [95% CI] | p-value | |
|---|---|---|---|
| Quarantine measure | No mass quarantine+(vs. mass quarantine) | 0.44 [0.27-0.72] | 0.001 |
| Testing strategy | Targeted testing or test-information N/A(vs. mass testing) | 0.63 [0.41-0.97] | 0.034 |
| Accommodation size | Q2Q3Q4Q5(vs. Q1) | 0.96 [0.50-1.84]0.56 [0.29-1.09]0.49 [0.26-0.96]0.56 [0.26-1.18] | 0.9040.0890.0380.128 |
| Accommodation type | Reception centre(vs. district accommodation centre) | 1.38 [0.76-2.50] | 0.284 |
Legend: RR: rate ratio. N/A: no information available. vs: versus. Q1-5: quintiles. +Includes n=1 centre for which information on quarantine measures was missing/not reported.