Two-intervention social distancing strategy to control COVID-19 in Mosul city; A Comparative study
DOI:
https://doi.org/10.32947/ajps.v20i3.760Keywords:
COVID-19, Mosul, Santa Clara, social distancing and light switch approachAbstract
Background: Novel coronavirus what known now as COVID-19 pandemic represents worldwide health problem. It presented as an upper respiratory infection, acute respiratory distress syndrome, micro thrombosis, sepsis, septic shock, and multi-organ failure and death. Early recognition of suspected cases allows health staff and local gover-
Nment the sufficient time to initiate the appropriate international and national protocols to control the transmission of infection.
Aim: Evaluate the effectiveness of two- intervention social distancing strategy that was applied to control COVID-19 in Mosul city.
Method: Using mathematical simulation model for COVID-19 spread implemented in Santa Clara City in US to estimate the expected burden of the pandemic in Mosul City. This model give a numerical data about the number of the infected cases and time interval of applying the appropriate intervention control strategies by comparing single-strategy (social distancing) to two-intervention strategy (social distancing & light switch approach).
Results: The two interventions strategy shows that on average, the baseline epidemic scenario affected 12.3% of the population in comparison to 11.6% with single-strategy at 70% contact rate. While at the rate of 20% of social contact, only 0.11 % of the population will be infected in the two-intervention strategy in comparison to 0.165% when the single strategy applied. This means a significant reduction in the spread of the infection and the peak time incidence in all hypotheses will be significantly delayed.
Conclusion: The two- intervention social distancing strategy is an efficient tool to control COVID-19 in Mosul city and this represents a big success for Crisis Cell in controlling the pandemic in Mosul city.
References
- Centre DE, Prevention DU, Covid- CAN. We work on. 2020:1-4.
- Lee S, Hahn C, Rhee M, et al. Learning Media for the Implementation of Distance Learning. J Chem Inf Model. 2012;53(9):1689-1699. doi:10.1017/CBO9781107415324.004 DOI: https://doi.org/10.1017/CBO9781107415324.004
- Ramanathan K, Antognini D, Combes A, et al. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- research that is available on the COVID-19 resource centre - including this for unrestricted research re-use a. 2020;(January):19-21.
- Clinical Management of Severe Acute Respiratory Infection (SARI) When COVID-19 Disease Is Suspected.; 2020.
- Bolton K, McCaw J, Moss R, et al. Likely effectiveness of pharmaceutical and non-pharmaceutical interventions for mitigating influenza virus transmission in Mongolia. Bull World Health Organ. 2012;90(4):264-271. doi:10.2471/blt.11.093419 DOI: https://doi.org/10.2471/BLT.11.093419
- Childs TM, Kain M, Kirk D, et al. Potential Long-Term Intervention Strategies for COVID-19 Flatten the Curve Delay the Peak. 2021:4-8.
- J. Appleby, “The hospital bed: on its way out?” British Medical Journal, vol. 346, no. 11, p. f1563, 2013. DOI: https://doi.org/10.1136/bmj.f1563
- Report T. Guide to public health measures to reduce the impact of influenza pandemics in Europe: ‘The ECDC Menu.’ 2009:46. http://www.ecdc.europa.eu/en/publications/publications/0906_ter_public_health_measures_for_influenza_pandemics.pdf.
- Lai S, Ruktanonchai NW, Zhou L, et al. outbreak in China. 2020:1-29.
- 10. Halder N, Kelso JK, Milne GJ. Cost-effective strategies for mitigating a future influenza pandemic with H1N1 2009 characteristics. PLoS One. 2011;6(7). doi: 10.1371/journal.pone.0022087 DOI: https://doi.org/10.1371/journal.pone.0022087