학술논문
Estimating transmission dynamics and serial interval of the first wave of COVID-19 infections under different control measures: a statistical analysis in Tunisia from February 29 to May 5, 2020
Document Type
Report
Author
Talmoudi, Khouloud; Safer, Mouna; Letaief, Hejer; Hchaichi, Aicha; Harizi, Chahida; Dhaouadi, Sonia; Derouiche, Sondes; Bouaziz, Ilhem; Gharbi, Donia; Najar, Nourhene; Osman, Molka; Cherif, Ines; Mlallekh, Rym; Ben-Ayed, Oumaima; Ayedi, Yosr; Bouabid, Leila; Bougatef, Souha; Ben-Alaya, Nissaf Bouafif ép; Chahed, Mohamed Kouni
Source
BMC Infectious Diseases. December 2, 2020, Vol. 20 Issue 1
Subject
Language
English
ISSN
1471-2334
Abstract
Author(s): Khouloud Talmoudi[sup.1,2] , Mouna Safer[sup.1,2] , Hejer Letaief[sup.1,2] , Aicha Hchaichi[sup.1,2] , Chahida Harizi[sup.3] , Sonia Dhaouadi[sup.1] , Sondes Derouiche[sup.1] , Ilhem Bouaziz[sup.1] , Donia Gharbi[sup.1] , Nourhene Najar[sup.4] [...]
Background Describing transmission dynamics of the outbreak and impact of intervention measures are critical to planning responses to future outbreaks and providing timely information to guide policy makers decision. We estimate serial interval (SI) and temporal reproduction number (R.sub.t) of SARS-CoV-2 in Tunisia. Methods We collected data of investigations and contact tracing between March 1, 2020 and May 5, 2020 as well as illness onset data during the period February 29-May 5, 2020 from National Observatory of New and Emerging Diseases of Tunisia. Maximum likelihood (ML) approach is used to estimate dynamics of R.sub.t. Results Four hundred ninety-one of infector-infectee pairs were involved, with 14.46% reported pre-symptomatic transmission. SI follows Gamma distribution with mean 5.30 days [95% Confidence Interval (CI) 4.66-5.95] and standard deviation 0.26 [95% CI 0.23-0.30]. Also, we estimated large changes in R.sub.t in response to the combined lockdown interventions. The R.sub.t moves from 3.18 [95% Credible Interval (CrI) 2.73-3.69] to 1.77 [95% CrI 1.49-2.08] with curfew prevention measure, and under the epidemic threshold (0.89 [95% CrI 0.84-0.94]) by national lockdown measure. Conclusions Overall, our findings highlight contribution of interventions to interrupt transmission of SARS-CoV-2 in Tunisia. Keywords: Coronavirus, Reproduction number, Serial interval, Lockdown, Statistical models, Tunisia
Background Describing transmission dynamics of the outbreak and impact of intervention measures are critical to planning responses to future outbreaks and providing timely information to guide policy makers decision. We estimate serial interval (SI) and temporal reproduction number (R.sub.t) of SARS-CoV-2 in Tunisia. Methods We collected data of investigations and contact tracing between March 1, 2020 and May 5, 2020 as well as illness onset data during the period February 29-May 5, 2020 from National Observatory of New and Emerging Diseases of Tunisia. Maximum likelihood (ML) approach is used to estimate dynamics of R.sub.t. Results Four hundred ninety-one of infector-infectee pairs were involved, with 14.46% reported pre-symptomatic transmission. SI follows Gamma distribution with mean 5.30 days [95% Confidence Interval (CI) 4.66-5.95] and standard deviation 0.26 [95% CI 0.23-0.30]. Also, we estimated large changes in R.sub.t in response to the combined lockdown interventions. The R.sub.t moves from 3.18 [95% Credible Interval (CrI) 2.73-3.69] to 1.77 [95% CrI 1.49-2.08] with curfew prevention measure, and under the epidemic threshold (0.89 [95% CrI 0.84-0.94]) by national lockdown measure. Conclusions Overall, our findings highlight contribution of interventions to interrupt transmission of SARS-CoV-2 in Tunisia. Keywords: Coronavirus, Reproduction number, Serial interval, Lockdown, Statistical models, Tunisia