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2024, Number 6

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Acta Pediatr Mex 2024; 45 (6)

Assessing and implementing a test, trace, isolate and face mask-wearing programme to reduce SARS-CoV-2 transmission in Queretaro, Mexico: a mathematical modelling approach

Ruiz MC, Pérez RM Ramírez AJC, González RJF, Sánchez DR, Alaníz CD, Suárez IL, Aguas R, Kuri MP

Language: English
References: 26
Page: 614-624
PDF size: 621.17 Kb.


ABSTRACT

Non-pharmacological interventions stood as the only severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) morbidity and mortality mitigation tools before vaccines were made available. Some, such as strict “stay-at-home” strategies, posed significant adherence, compliance and sustainability challenges because of social, economic, and psychological factors. Following relaxation of strict social distancing measures, Test, trace and isolate (TTI) strategies sought to mitigate viral spread via self-isolation and quarantine through early detection of infectious people. Mathematical modelling can contribute insight into emergency responses by examining possible scenarios and their impact on morbidity, mortality and public health system capacity. This paper describes the use of mathematical modelling to assess the impact of a test, trace, isolate and face mask-wearing programme to reduce SARS-CoV-2 transmission in Queretaro. This model was developed by Oxford University and implemented during the COVID-19 emergency to inform the Health Security Committee in Queretaro. Describing the implementation of mathematical modelling in the field may be valuable to strengthen preparedness and response plans for other potential future pandemics.


REFERENCES

  1. Aleta A, Martin-Corral D, Pastore YPA, Ajelli M, LitvinovaM, Chinazzi M, et al. Modelling the impact of testing, contacttracing and household quarantine on second wavesof COVID-19. Nat Hum Behav. 2020;4(9):964-71. Epub 2020/08/08. doi: 10.1038/s41562-020-0931-9. PubMedPMID: 32759985; PubMed Central PMCID: PMC7641501.

  2. Colbourn T, Waites, W., Panovska-Griffiths, J., Manheim,D., Sturniolo, S., Colbourn, G., Bowie, C., Godfrey, k.,M.,Peto, J., Burgess, R.A., Foster, D., McCoy, D., et al. Modellingthe Health and Economic Impacts of Population-WideTesting, Contact Tracing and Isolation (PTTI) Strategies forCOVID-19 in the UK. Preprint wuth the Lancet 2020. doi:http://dx.doi.org/10.2139/ssrn.3627273.

  3. Davies NG, Kucharski AJ, Eggo RM, Gimma A, EdmundsWJ, Jombart T, et al. Effects of non-pharmaceutical interventionson COVID-19 cases, deaths, and demand forhospital services in the UK: a modelling study. The LancetPublic Health. 2020;5(7):e375-e85. doi: 10.1016/s2468-2667(20)30133-x.

  4. Kucharski AJ, Klepac P, Conlan AJK, Kissler SM, Tang ML, FryH, et al. Effectiveness of isolation, testing, contact tracing,and physical distancing on reducing transmission of SARSCoV-2 in different settings: a mathematical modelling study.Lancet Infect Dis. 2020;20(10):1151-60. Epub 2020/06/20.doi: 10.1016/s1473-3099(20)30457-6. PubMed PMID:32559451; PubMed Central PMCID: PMC7511527.

  5. Tuite AR, Fisman DN, Greer AL. Mathematical modellingof COVID-19 transmission and mitigation strategies in thepopulation of Ontario, Canada. CMAJ. 2020;192(19):E497-E505. Epub 2020/04/10. doi: 10.1503/cmaj.200476.PubMed PMID: 32269018; PubMed Central PMCID:PMC7234271 Engineering Research Council of Canada,the Canadian Institutes of Health Research (CIHR) andthe Canada Research Chairs Program. No other competinginterests were declared.

  6. Chowdhury R, Luhar S, Khan N, Choudhury SR, Matin I,Franco OH. Long-term strategies to control COVID-19 inlow and middle-income countries: an options overviewof community-based, non-pharmacological interventions.Eur J Epidemiol. 2020;35(8):743-8. Epub 2020/07/14. doi:10.1007/s10654-020-00660-1. PubMed PMID: 32656618;PubMed Central PMCID: PMC7354877.

  7. Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, IosifidisC, et al. The socio-economic implications of the coronaviruspandemic (COVID-19): A review. Int J Surg. 2020;78:185-93. Epub 2020/04/20. doi: 10.1016/j.ijsu.2020.04.018.PubMed PMID: 32305533; PubMed Central PMCID:PMC7162753.

  8. Blanchet K, Alwan A, Antoine C, Cros MJ, Feroz F, AmsaluGuracha T, et al. Protecting essential health services in lowincomeand middle-income countries and humanitariansettings while responding to the COVID-19 pandemic. BMJGlob Health. 2020;5(10). Epub 2020/10/09. doi: 10.1136/bmjgh-2020-003675. PubMed PMID: 33028701; PubMedCentral PMCID: PMC7542611.

  9. Douglas M, Katikireddi SV, Taulbut M, McKee M, McCartneyG. Mitigating the wider health effects of covid-19 pandemicresponse. BMJ. 2020;369:m1557. Epub 2020/04/29. doi:

  10. 10.1136/bmj.m1557. PubMed PMID: 32341002; PubMedCentral PMCID: PMC7184317 interests and have no relevantinterests to declare. Provenance and peer review:Not commissioned; externally peer reviewed.10. World Health Organization. Considerations in the investigationof cases and clusters of COVID-19. Interim Guide.WHO, 2020 22th of October, 2020. Report No.

  11. Secretaría de Salud. Lineamiento estandarizado para lavigilancia epidemiológica y por laboratorio de la enfermedadrespiratoria viral 2020. doi: https://insp.mx/nuevocoronavirus-2019/documentos-materiales-interes.html.

  12. Escudero X, Guarner J, Galindo-Fraga A, Escudero-SalamancaM, Alcocer-Gamba MA, Del-Río C. The SARS-CoV-2(COVID-19) coronavirus pandemic: current situation andimplications for Mexico. Arch Cardiol Mex. 2020;90(Supl):7-14. Epub 2020/06/12. doi: 10.24875/acm.M20000064.PubMed PMID: 32523137.

  13. Secretaría de Gobernación. ACUERDO por el que se declaracomo emergencia sanitaria por causa de fuerza mayor, a laepidemia de enfermedad generada por el virus SARS-CoV2(COVID-19). Diario Oficial de la Federacion; 2020.

  14. Suarez V, Suarez Quezada M, Oros Ruiz S, Ronquillo DeJesus E. Epidemiology of COVID-19 in Mexico: from the27th of February to the 30th of April 2020. Rev Clin Esp.2020;220(8):463-71. Epub 2020/06/21. doi: 10.1016/j.rce.2020.05.007. PubMed PMID: 32560915; PubMedCentral PMCID: PMC7250750.

  15. Hale T, Webster, S., Petherick, A., Phillips, T., Kira, B. . OxfordCOVID-19 Government Response Tracker, Blavatnik Schoolof Government. 2020 [11th of October, 2020]. Availablefrom: https://www.bsg.ox.ac.uk/research/researchprojects/oxford-covid-19-government-response-tracker.

  16. Pablos-Mendez A, Vega J, Aranguren FP, Tabish H, RaviglioneMC. Covid-19 in Latin America. BMJ. 2020;370:m2939.Epub 2020/07/29. doi: 10.1136/bmj.m2939. PubMedPMID: 32718938.

  17. Secretaría de Salud. Lineamiento para la estimación deriesgos del semáfro por regiones COVID-19 2020.

  18. Secretaría de Salud. Covid-19 México 2020.

  19. Aguas R, Hupert, N., Shretta, R., Celhay, O., Franco, C.,Coutinho,R., Moldokmatova, A., Arifi, F., Nadir, S.M., Mirzazadeh,A., Sharifi, H., Adib, K., Pan-ngum,, W., White, L. .COVID-19 Pandemic Modelling in Context: Uniting Peopleand Technology. preprint2020.

  20. Aguas R, White L, Hupert N, Shretta R, Pan-Ngum W, CelhayO, et al. Modelling the COVID-19 pandemic in context: aninternational participatory approach. BMJ Glob Health.2020;5(12). doi: 10.1136/bmjgh-2020-003126. PubMedPMID: 33361188; PubMed Central PMCID: PMC7759758.

  21. Brandeau ML, McCoy JH, Hupert N, Holty JE, BravataDM. Recommendations for modeling disaster responsesin public health and medicine: a position paper ofthe society for medical decision making. Med DecisMaking. 2009;29(4):438-60. Epub 2009/07/17. doi:10.1177/0272989X09340346. PubMed PMID: 19605887;PubMed Central PMCID: PMC3699691.

  22. Google. COVID-19 community mobility reports 2020.

  23. Secretaria de Educación. Guia de orientación para la reaperturade escuelas ante COVID-19 2020.

  24. Henegan C. COVID cases in England aren’t rising: here’swhy: The Centre for Evidence-Based Medicine; 2020 [9thof October, 2020]. Available from: https://www.cebm.net/covid-19/covid-cases-in-england-arent-rising-heres-why/.

  25. Chowdhury R, Heng K, Shawon MSR, Goh G, Okonofua D,Ochoa-Rosales C, et al. Dynamic interventions to controlCOVID-19 pandemic: a multivariate prediction modellingstudy comparing 16 worldwide countries. Eur J Epidemiol.2020;35(5):389-99. Epub 2020/05/21. doi: 10.1007/s10654-020-00649-w. PubMed PMID: 32430840; PubMedCentral PMCID: PMC7237242.

  26. Ruiz-Matus C, Suarez-Idueta, L, Herbas-Rocha, I., Diaz-Ortega, JL., Cruz-Martinez, E., Ramínez-Jurado, A., López-Martínez, I., Rodríguez-Domínguez-JC., Díaz-Quiñonez, JA.. Multinational Measles Outbreak in Post-Elimination Era,Involves Three Countries of North America and a EuropeanCountry in a Short Transmission Chain. World Journal ofVaccines. 2015;5:79-87.




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