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Global prediction for mpox epidemic.
- Source :
-
Environmental research [Environ Res] 2024 Feb 15; Vol. 243, pp. 117748. Date of Electronic Publication: 2023 Nov 28. - Publication Year :
- 2024
-
Abstract
- The mpox epidemic had spread worldwide and become an epidemic of international concern. Before the emergence of targeted vaccines and specific drugs, it is necessary to numerically simulate and predict the epidemic. In order to better understand and grasp its transmission situation, and take some countermeasures accordingly when necessary, we predicted and simulated mpox transmission, vaccination and control scenarios using model developed for COVID-19 predictions. The results show that the prediction model can also achieve good results in predicting the mpox epidemic based on modified SEIR model. The total number of people infected with mpox on Dec 31, 2022 reached 83878, while the prediction of the model was 96456 with a relative error of 15%. The United States, Brazil, Spain, France, the United Kingdom and Germany are six countries with serve mpox epidemic. The predictions of their epidemic are 30543, 11191, 7447, 5945, 5606 and 4291 cases respectively, with an average relative error of 20%. If 30% of the population is vaccinated using a vaccine that is 78% effective, the number of infected people will drop by 29%. This shows that the system can be practically applied to the prediction of mpox epidemic and provide corresponding decision-making reference.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Brazil
France epidemiology
Mpox (monkeypox)
Epidemics
COVID-19 epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1096-0953
- Volume :
- 243
- Database :
- MEDLINE
- Journal :
- Environmental research
- Publication Type :
- Academic Journal
- Accession number :
- 38036205
- Full Text :
- https://doi.org/10.1016/j.envres.2023.117748