Buhat Christian Alvin H, Torres Monica C, Olave Yancee H, Gavina Maica Krizna A, Felix Edd Francis O, Gamilla Gimelle B, Verano Kyrell Vann B, Babierra Ariel L, Rabajante Jomar F
Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños, 4031 Laguna, Philippines.
University of the Philippines Resilience Institute, University of the Philippines, Quezon City, Philippines.
Netw Model Anal Health Inform Bioinform. 2021;10(1):17. doi: 10.1007/s13721-021-00295-6. Epub 2021 Mar 8.
The number of COVID-19 cases is continuously increasing in different countries including the Philippines. It is estimated that the basic reproduction number of COVID-19 is around 1.5-4 (as of May 2020). The basic reproduction number characterizes the average number of persons that a primary case can directly infect in a population full of susceptible individuals. However, there can be superspreaders that can infect more than this estimated basic reproduction number. In this study, we formulate a conceptual mathematical model on the transmission dynamics of COVID-19 between the frontliners and the general public. We assume that the general public has a reproduction number between 1.5 and 4, and frontliners (e.g. healthcare workers, customer service and retail personnel, food service crews, and transport or delivery workers) have a higher reproduction number. Our simulations show that both the frontliners and the general public should be protected against the disease. Protecting only the frontliners will not result in flattening the epidemic curve. Protecting only the general public may flatten the epidemic curve but the infection risk faced by the frontliners is still high, which may eventually affect their work. The insights from our model remind us of the importance of community effort in controlling the transmission of the disease.
包括菲律宾在内的不同国家,新冠肺炎病例数都在持续增加。据估计,新冠肺炎的基本繁殖数约为1.5至4(截至2020年5月)。基本繁殖数表征了在一个全是易感个体的人群中,一个原发病例能够直接感染的平均人数。然而,可能存在超级传播者,其感染人数超过这个估计的基本繁殖数。在本研究中,我们构建了一个关于新冠肺炎在一线工作者和普通大众之间传播动力学的概念性数学模型。我们假设普通大众的繁殖数在1.5至4之间,而一线工作者(如医护人员、客户服务和零售人员、食品服务人员以及运输或送货工人)有更高的繁殖数。我们的模拟结果表明,一线工作者和普通大众都应受到疾病防护。仅保护一线工作者不会使疫情曲线趋于平缓。仅保护普通大众可能会使疫情曲线趋于平缓,但一线工作者面临的感染风险仍然很高,这最终可能会影响他们的工作。我们模型得出的见解提醒我们社区努力在控制疾病传播方面的重要性。