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Predictors of mpox infectious periods: findings from a fine and gray sub-distribution hazard model using Vietnamese national mpox data

Published online by Cambridge University Press:  04 August 2025

Thi Ngoc Anh Hoang*
Affiliation:
Faculty of Public Health, PHENIKAA University, Hanoi, Vietnam
Van Ngoc Hoang
Affiliation:
Viet Nam Administration of Disease Prevention, Ministry of Health, Hanoi, Vietnam
Thi Thu Trang Dinh
Affiliation:
Faculty of Public Health, PHENIKAA University, Hanoi, Vietnam
Ngoc Long Vu
Affiliation:
Viet Nam Administration of Disease Prevention, Ministry of Health, Hanoi, Vietnam
Ha Linh Quach
Affiliation:
Prevention Research Collaboration, Faculty of Medicine and Health, The University of Sydney, School of Public Health, Sydney, NSW, Australia
*
Corresponding author: Thi Ngoc Anh Hoang; Email: anh.hoangthingoc@phenikaa-uni.edu.vn
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Abstract

Investigating risk factors for mpox’s infectious period is vital for preventing this emerging disease, yet evidence remains scarce. This study aimed to identify risk factors associated with the duration of mpox infectiousness among mpox cases in Vietnam. The primary outcome was the duration of the mpox infectiousness, defined between symptom onset and the first negative test result for the mpox virus. Fine and Gray’s regression models were employed to assess the associations between the infectious period and several risk factors while accounting for competing risks of death by mpox. Most mpox cases recovered within 30 days. Patients with HIV or treated at multiple facilities for mpox had lower incidence rates of cleared infection compared to those who were HIV-negative or treated at a single facility. In regression models, patients with mpox symptoms of rash or mucosal lesions (sub-distribution hazard ratios = 0.62, 95% confidence interval = 0.46–0.83), ulcers (0.57, 0.41–0.80), or fever (0.62, 0.46–0.83) had significantly prolonged infectious periods than those without such symptoms. Our findings provided insights for managing mpox cases, especially those vulnerable to prolonged infectious periods in settings with sporadic cases reported.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Distribution of mpox cases in the study as of 22 August 2024.

Figure 1

Table 1. Sociodemographic of mpox patients, stratified by final treatment status (N = 200)

Figure 2

Table 2. The clinical symptoms of mpox patients by event status (n = 200)

Figure 3

Figure 2. Cumulative Incidence Functions of duration of mpox infectiousness among 200 mpox patients, stratified by (a) Total Study Population, (b) HIV positive status, (c) Syphilis positive status, and (d) Number of mpox treatment facilities.* The cumulative incidence function was estimated using Fine and Gray method and was interpreted as incidence of cleared infection. P-value was calculated from Gray’s test.** mpox infectiousness was defined as the time from the date of symptom onset or first positive test to the date of the first negative test result for the mpox virus.

Figure 4

Figure 3. Cumulative Incidence Functions of duration of mpox infectiousness among 200 Mpox patients by clinical symptoms onset.* The cumulative incidence function was estimated using Fine and Gray method and was interpreted as incidence of cleared infection. P-value was calculated from Gray’s test.** mpox infectiousness was defined as the time from the date of symptom onset or first positive test to the date of the first negative test result for the mpox virus.

Figure 5

Table 3. Univariable and multivariable Fine-Gray competing-risk regression models for duration of mpox infection among 200 mpox Patients