Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
31
03
2022
accepted:
11
07
2022
revised:
25
08
2022
pubmed:
16
8
2022
medline:
30
8
2022
entrez:
15
8
2022
Statut:
epublish
Résumé
To define appropriate planning scenarios for future pandemics of respiratory pathogens, it is important to understand the initial transmission dynamics of COVID-19 during 2020. Here, we fit an age-stratified compartmental model with a flexible underlying transmission term to daily COVID-19 death data from states in the contiguous U.S. and to national and sub-national data from around the world. The daily death data of the first months of the COVID-19 pandemic was qualitatively categorized into one of four main profile types: "spring single-peak", "summer single-peak", "spring/summer two-peak" and "broad with shoulder". We estimated a reproduction number R as a function of calendar time tc and as a function of time since the first death reported in that population (local pandemic time, tp). Contrary to the diversity of categories and range of magnitudes in death incidence profiles, the R(tp) profiles were much more homogeneous. We found that in both the contiguous U.S. and globally, the initial value of both R(tc) and R(tp) was substantial: at or above two. However, during the early months, pandemic time R(tp) decreased exponentially to a value that hovered around one. This decrease was accompanied by a reduction in the variance of R(tp). For calendar time R(tc), the decrease in magnitude was slower and non-exponential, with a smaller reduction in variance. Intriguingly, similar trends of exponential decrease and reduced variance were not observed in raw death data. Our findings suggest that the combination of specific government responses and spontaneous changes in behaviour ensured that transmissibility dropped, rather than remaining constant, during the initial phases of a pandemic. Future pandemic planning scenarios should include models that assume similar decreases in transmissibility, which lead to longer epidemics with lower peaks when compared with models based on constant transmissibility.
Identifiants
pubmed: 35969627
doi: 10.1371/journal.pcbi.1010375
pii: PCOMPBIOL-D-22-00511
pmc: PMC9410547
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1010375Subventions
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 200861/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/J008761/1
Pays : United Kingdom
Organisme : CDC HHS
ID : NU38OT000297
Pays : United States
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Science. 2021 Feb 19;371(6531):
pubmed: 33323424
J Infect. 2021 Apr;82(4):e27-e28
pubmed: 33383088
PLoS Comput Biol. 2020 Oct 15;16(10):e1008388
pubmed: 33057438
J Infect. 2021 Jan;82(1):133-142
pubmed: 33275956
Nature. 2004 Dec 16;432(7019):904-6
pubmed: 15602562
BMJ Glob Health. 2021 Mar;6(3):
pubmed: 33758012
Science. 2020 Jul 24;369(6502):413-422
pubmed: 32532802
Lancet. 2022 Apr 16;399(10334):1469-1488
pubmed: 35219376
Lancet Infect Dis. 2020 Oct;20(10):1151-1160
pubmed: 32559451
Lancet Public Health. 2020 May;5(5):e261-e270
pubmed: 32220655
Lancet Infect Dis. 2020 Jun;20(6):678-688
pubmed: 32213332
PLoS Comput Biol. 2021 Jul 29;17(7):e1009230
pubmed: 34324487
Sci Data. 2020 Aug 27;7(1):285
pubmed: 32855430
Nature. 2020 Sep;585(7823):22-24
pubmed: 32873974
Nature. 2021 Oct;598(7880):338-341
pubmed: 34438440
Lancet Glob Health. 2020 Apr;8(4):e488-e496
pubmed: 32119825
Nat Med. 2020 Oct;26(10):1616-1622
pubmed: 32770169
Comput Mech. 2020;66(4):1035-1050
pubmed: 32836597
Nature. 2020 Aug;584(7820):257-261
pubmed: 32512579
Int J Infect Dis. 2021 Dec;113:190-199
pubmed: 34571148
PLoS Comput Biol. 2015 Sep 24;11(9):e1004392
pubmed: 26402446
Epidemics. 2021 Jun;35:100445
pubmed: 33799290
Lancet Infect Dis. 2020 Jun;20(6):669-677
pubmed: 32240634
J Infect. 2021 Apr;82(4):e8-e10
pubmed: 33472093
PLoS One. 2021 Aug 9;16(8):e0239352
pubmed: 34370739
N Engl J Med. 2020 Mar 5;382(10):929-936
pubmed: 32004427
Science. 2021 Apr 9;372(6538):
pubmed: 33658326
BMC Med. 2021 Feb 5;19(1):40
pubmed: 33541353
Epidemics. 2019 Dec;29:100356
pubmed: 31624039
BMJ. 2020 Jul 15;370:m2743
pubmed: 32669358
PLoS Comput Biol. 2020 Dec 3;16(12):e1008274
pubmed: 33270633
PLoS Comput Biol. 2019 May 23;15(5):e1007013
pubmed: 31120881
MMWR Morb Mortal Wkly Rep. 2020 Oct 23;69(42):1522-1527
pubmed: 33090978
Proc Natl Acad Sci U S A. 2020 Aug 18;117(33):19873-19878
pubmed: 32727898
Nature. 2022 Jan;601(7893):312-315
pubmed: 35042997
Nat Hum Behav. 2020 Dec;4(12):1303-1312
pubmed: 33199859
Elife. 2021 Jun 30;10:
pubmed: 34190045
Nature. 2021 May;593(7858):266-269
pubmed: 33767447
Science. 2020 Apr 24;368(6489):395-400
pubmed: 32144116
Philos Trans R Soc Lond B Biol Sci. 2021 Jul 19;376(1829):20200280
pubmed: 34053251
Am J Epidemiol. 2013 Nov 1;178(9):1505-12
pubmed: 24043437