key: cord-0889619-3k5m1rgs authors: Xianwei, Fan; Yan, Gu; Bo, Guan title: The effect of dispatch of national medical teams to Wuhan on its control and prevention of COVID-19 date: 2021-04-27 journal: Public Health DOI: 10.1016/j.puhe.2021.04.011 sha: 993d776e14ff816f3eab954025a1578ab27abcb0 doc_id: 889619 cord_uid: 3k5m1rgs OBJECTIVES: As a unique prevention and control measure, the dispatch of national medical teams to Wuhan has played a key role in protecting Wuhan against COVID-19. This study aimed to quantitatively evaluate the effect of this key measure in reducing infections and fatalities. STUDY DESIGN: A scenario analysis is used in this study, where the forming of scenarios is on the basis of the stages of medical to Wuhan. We divided the evaluation into 4 scenarios: Scenario Ⅰ-no dispatch, Scenario Ⅱ-dispatch of 4,599 medical staff, Scenario Ⅲ-dispatch of 16,000 staff, and Scenario Ⅳ-dispatch of 32,000 staff. METHODS: The extended Susceptible-Exposed- Infectious-Recovered-Death (SEIRD) model was adopted to quantify the effect of the dispatch of national medical teams to Wuhan on COVID-19 prevention and control. RESULTS: The dispatch dramatically cuts the channels for the transmission of the virus and succeeds in raising the cure rates while reducing the fatality rates. If there were no dispatch at all, a cumulative total of 158,881 confirmed cases, 18,700 fatalities and a fatality rate of 11.77% would have occurred in Wuhan, which are 3.2 times, 4.8 times and 1.5 times the real figures respectively. The dispatch has avoided 108,541 confirmed cases and 14,831 fatalities in this city. CONCLUSIONS: The proven successful measure provides valuable experience and enlightenment to international cooperation on prevention and control of COVID-19, as well as a similar outbreak of new emerging infectious diseases. One of the most common phrases in global health literatures is "diseases know no borders", which has been widely noted that strengthening global cooperation to meet health challenges is an important consensus of the international community 1 . With the establishment of the World Health Organization (WHO), the governance of global public health crisis has already possessed specific international norms, organizations, and operational mechanisms, and has extensive cooperation in prevention and control of infectious diseases. Presently, the international health cooperation mechanism of infectious diseases guided by the international health regulations (2005) has been the most widely used cooperation mechanism. After the outbreak of the COVID-19 in Wuhan, on a regular basis, China timely updated the WHO, relevant countries, and regional organizations, on the development of the disease, released the genome sequence of virus, and cooperated with the international community, developing diagnostic reagents, drugs and vaccines. 2 Fighting against the epidemic needs cooperation, so does the medical treatment of patients 3 . The sudden outbreak of COVID-19 in Wuhan put an overwhelming strain on its medical resources. A severe shortage of medical staffs and hospital beds occurred at the early stage as the number of infections surged. To fight against the virus, China launched the largest medical assistance since the founding of the PRC. After the lockdown in Wuhan, the central government assembled 346 national medical teams from across the country, resulting in a total of 42,600 medical personnel being dispatched to Hubei Province, especially to Wuhan city ( Figure 1 ). China provides a typical case for dispatching medical teams to the outbreak started and the hardest-hit place of the pandemic. If there is no dispatch of medical teams to J o u r n a l P r e -p r o o f the hardest-hit place, the overwhelming burden on medical resources would become more and more serious, a sharp rise in the infections and substantial increase in the mortality would have occurred. Numerous studies have focused on evaluating the effects of the non-pharmaceutical interventions (NPIS), such as lockdowns and quarantines [4] [5] [6] [7] [8] . All researches unanimously showed the prevention and control measures can effectively prevent the transmission of the epidemic, and reduce the infections and mortalities. However, there have been few studies focusing on the effects of dispatching medical teams. In light of the importance of this measure, we adopted an Susceptible, Exposed, Infectious, Removed, Deceased (SEIRD) model, to quantitatively evaluate the effect of dispatching national medical teams on the prevention and control of COVID-19 in Wuhan. The research can provide some enlightenment for global health cooperation. Based on the classic SEIR model, we included deceased ceases (D) to the model 4 , thus SEIRD model, an extended model of SEIR, is formed as follows: (1) Where the S, E, I, R, and D denote the susceptible population, the latent population, the infected population, the recovered population, and the deceased population, respectively. , denotes the rate of transmission for the susceptible to exposed; denotes the rate of transmission for the susceptible to infected; denotes the incubation rate; denotes the recovery denotes the mortality rate, denotes the number of contacts. This model indicates that in a scenario where there is no intervention, everyone in a given area may become infected within a certain period of time. (2)Scenario and Parameter Setting The incubation rate was the reciprocal of the incubation period, we assumed the incubation period to be 7 days based on the existed researches 4 Assume that when , the number of infections I=1, , we further derive: Equation (7) was applied to fit the recovery rate under different situations. Table 1 shows the parameters under the different scenarios. According to the medical dispatch stages (Figure 1 ), referring to existed researches 10 , we divided the evaluation into 4 scenarios: Scenario Ⅰ: No Dispatch. Based on data availability, and the need for all scenarios to begin in the same stage after the Wuhan lockdown, we established the starting time of this scenario as January 23, when the public transportation stopped. pandemic as 150 days,from January 23 to June 20, 2020. The dispatch of medical teams played a vital role in reducing infections of the epidemic in Wuhan (Table 2 ). In the "no dispatch" scenario( This shows that the continuous increase in dispatching medical teams played an increasingly important role in blocking the pandemic and controlling severe cases. (2)Effects of reducing deaths The dispatch of medical teams significantly increased the cure rate of confirmed cases and reduced the mortality rate( Figure 3 ). In the "no dispatch" scenario, the deaths would have reached 18,700, more than 4.8 times the actual number of deaths. It is also estimated that the mortality rate could have reached 11.77%, more than 1.5 times the actual mortality rate and 2. (1)Robustness test To ensure the credibility of the estimation results, a test was conducted to assess the robustness of adopted SEIRD model. We allocated new cases with a sudden increase due to the inclusion of clinically diagnosed cases within the total number of confirmed cases for February 12 and 13, 2020. The allocation period was from January 23 to February 11. The Gaussian equation was used as the allocation model: In expression (12), the parameters of the Gaussian curve fitted after the allocation were: =2885, =17.93, and =9.427. Under the robustness test (Figure 4 ), factors such as the increase in the number of initial confirmed cases, the increase in the recovery rate, and the decrease in the daily new mortality rate caused by the allocation of the case data did not lead to significant differences compared to the calculated results before the allocation. After the allocation (Table 3) , the scale of the pandemic and the number of deaths showed a slight increase. The magnitude of the increase was mostly controlled within 10%, and there was no abnormal changes in the daily data. In "no dispatch" scenario, the numbers of infections and deaths after the allocation increased by only 1.9% compared with the numbers before allocation. This demonstrates the robustness of the estimation results of the SEIRD model. The successful cross-regional dispatch needs several conditions. Firstly, government should have a strong ability to organize and coordinate the national J o u r n a l P r e -p r o o f medical teams for cross-regional assistance. Although it is very difficult for the central government to organize cross-regional rescue in some countries, it can be coordinated and organized by relevant social organizations and doctors' associations. Such measures are already in place in Germany and the United States, though as non-governmental or local governments' actions. Secondly, cross-regions' or -countries' medical qualification should be mutually recognized, so that the dispatched staffs can carry out normal medical treatment. The dispatch of medical teams cross countries will encounter the problem of whether the medical qualification certificate is mutually recognized. The third is to have a unified medical insurance system as a guarantee. China has a national consistent medical insurance system, and most of the treatment funds are paid by the state. However, if the cross-regional medical insurances are paid by different entities, it will be difficult to rush for assistance. So How to establish a closer transnational and cross-regional cooperation is a critical issue, which still needs to be further studied. Using a SEIRD model, this study quantitatively evaluated the effect of medical dispatch to Wuhan to defend against the COVID-19. The estimated outcomes were based on the scenarios of "no dispatch" and "dispatch" with 4,599, 16,000, and 32,000 medical teams, comparing the modeled infections, deaths, and mortality rate Estimated results showed that compared with the "no dispatch" scenario, the subsequent dispatch of 16,000 and 32,000 medical teams on inhibiting infection was estimated to be magnified by 1.9 times and 2.1 times, respectively; the effect on reducing the deaths of severe cases was estimated as being magnified by 1.9 times and 2.3 times, respectively. This showed that the continuous increase in dispatching medical teams play an increasingly important role in blocking the pandemic, controlling severe cases, and saving lives. In this paper, we just evaluate the infection and mortality in Wuhan area. In fact, if the epidemic in Wuhan is not controlled in time, the disease would spread to other areas, in which case the infections and deaths will be immeasurable, so the effect of medical dispatch to Wuhan is actually much more significant than the evaluation result in the model. The cross-regional assistance provided by national medical teams discussed in this paper provides important insights to inform the transnational response to the COVID-19, as well as to other emerging infectious diseases. The COVID-19 is continuing to spread globally, threatening the health of human beings. The Chinese government assembled and dispatched medical team on a large-scale to the hardest-hit areas of the pandemic, achieving significant positive effects and providing valuable experiences that the world can benefit from. To deepen international cooperation in responding to the pandemic, international organizations and medical associations should implement inter-governmental cooperation mechanisms and other organizational methods to assemble medical teams from a wider range of coverage, and then focus dispatched teams on the hardest-hit areas of the pandemic. Beyond restricting population movement and implementing temporary quarantines, these measures would improve the pressure-resistant capacity and treatment capacity of medical systems, alleviate the run on medical resources, inhibit the resulting increase in mortality rate, and save more lives while inhibiting the spread of the pandemic. The International Health Regulations, COVID-19, and bordering practices: Who gets in, what gets out, and who gets rescued? The State Council Information Office of the People's Republic of China, 2020. 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Science The effect of large-scale anti-contagion policies on the COVID-19 pandemic Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China None declared.J o u r n a l P r e -p r o o f J o u r n a l P r e -p r o o f Note: the confidence interval of infections and deaths are 95%, and the calculation period of the robust test is also 150 days: from January 23 to June 20, 2020.