Low Covid-19 hospitalisation in Dumfries and Galloway: comparison with other Scottish health boards

Abstract Background Covid-19 virus activity appears to have affected some parts of the United Kingdom more than others. Dumfries and Galloway (D&G) has seen fewer hospitalised cases than predicted. We wondered whether this might be related at least in part to population density.Methods We compared Covid-19 hospitalisation rates/100,000 population in D&G with those of the other 10 mainland Scottish health boards. We chose two time points: 19th April which was the peak of the pandemic in Scotland and 15th May, seven and a half weeks after lockdown. We used chi square and odds ratios with 95% confidence intervals to test for differences in hospitalisation rates and Pearson’s correlation coefficient to examine the relation between hospitalisation rates and population density. Population density for each health board was provided by National Records of Scotland.Results Hospitalisation in D&G was 13.4/100,000 on 19th April, falling to 1.3/100,000 by 15th May. Corresponding hospitalisation rates in Greater Glasgow & Clyde (GGC) were 50.1/100,000 and 38.9/100,000. Compared to GGC, hospitalisation rates in D&G were 3 times lower at peak (OR 0.27, 95% CI 0.17, 0.42) and 30 times lower by 15th May (OR 0.03, 95% CI 0.01, 0.14). Hospitalisation rates for the other health boards lay in between values recorded for D&G and GGC and fell in 10 of the 11 boards between these two dates. There was a positive association between hospitalisation rate and population density (r=0.756, p=0.007 on 19th April and r=0.840, p<0.001 for 15th May).Conclusion We have confirmed there are large differences in Covid-19 hospitalisation rates across the 11 mainland Scottish health boards, that are in part related to population density. These data support a regional rather than one nation approach to easing Covid-19 restrictions..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 24. Okt. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Rideout, Andrew [VerfasserIn]
Murray, Calum [VerfasserIn]
Isles, Chris [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2020.05.22.20110163

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI01799795X