Main Article Content

Abstract


ABSTRACT
Introduction. In Mali, information related to COVID-19 is regularly shared by the coordination board against COVID-19 through daily official press releases and situation reports. The goal of this study was to analyze data related to the tested samples; and the confirmed, contacts, recovered and dead cases in order to take lessons for the future. Population and methods. Data from the first 100 days after the detection of the first cases in Mali were collected and recorded on an Excel file before they got analyzed using SPSS 25.0 software. Analyses were descriptive and correlational. Results. We included 14938 tested samples, 2260 confirmed cases, 12864 contact cases, 1502 recovered cases and 117 deaths were reported during the first 100 days of the epidemic. There was a positive correlation between the number of confirmed cases; and the number of tested samples, the number of recovered cases and the number of deaths. These results suggest that the number of confirmed cases increase with the number of tested samples. Conclusion. These results call for more testing and encourage the identification, location and follow-up of COVID-19 cases. They can also be used to support the improvement of data quality and the response to COVID-19. As a result, they can contribute to improve population health.


RÉSUMÉ
Introduction. Au Mali, l'information relative au COVID-19 est régulièrement partagée par le conseil de coordination contre le COVID-19 à travers des communiqués de presse officiels quotidiens et des rapports de situation. L'objectif de cette étude était d'analyser les données relatives aux échantillons testés, aux cas confirmés, aux contacts, aux cas retrouvés et aux cas décédés afin de tirer des leçons pour l'avenir. Population et Méthodes. Pour atteindre cet objectif, les données des 100 premiers jours après la détection des premiers cas au Mali ont été collectées et enregistrées sur un fichier Excel avant d'être analysées avec le logiciel SPSS 25.0. Les analyses ont été descriptives et corrélationnelles. Résultats. Nous avons inclus 14938 échantillons testés, 2260 cas confirmés, 12864 cas contacts, 1502 cas guéris et 117 décès ont été rapportés durant les 100 premiers jours de l'épidémie. Les résultats montrent également qu'il existe une corrélation positive entre le nombre de cas confirmés, le nombre d'échantillons testés, le nombre de cas guéris et le nombre de décès. Ces résultats suggèrent que le nombre de cas confirmés augmente avec le nombre d'échantillons testés. Conclusion. Ces résultats appelleraient à davantage de tests et encourageraient l'identification, la localisation et le suivi des cas de COVID-19. Ils pourraient également être utilisés pour soutenir l'amélioration de la qualité des données et de la réponse au COVID-19. Par conséquent, ils pourraient contribuer à améliorer la santé de la population.

Keywords

COVID-19 Mali Situation report health information data pandemic epidemic coronavirus SARS-Cov 2 Coronavirus COVID-19 SRAS-Cov 2 Mali Communiqué de presse Rapport de situation Information sanitaire Données Pandémie Epidémie

Article Details

Author Biography

Birama Apho Ly, Faculty of Pharmacy; University of Sciences, Techniques and Technology of Bamako, Bamako, Mali

Centre d’Analyse et de Recherche de l’Espace Sahélo-saharien Modibo Goita, École de Maintien de la Paix Alioune Blondin Beye, Bamako, Mali

How to Cite
Birama Apho Ly, Mohamed Ali Ag Ahmed, Tamba Mina Millimouno, Yacouba Cissoko, Christophe Laba Faye, Fatoumata Bintou Traoré, Niélé Hawa Diarra, Mohamed Toure, Nouhoum Telly, Hamadoun Sangho, & Seydou Doumbia. (2022). Information about COVID-19: Lessons Learned from Mali . HEALTH SCIENCES AND DISEASE, 23(11). Retrieved from https://hsd-fmsb.org/index.php/hsd/article/view/4016

References

  1. AbouZahr C, Boerma T. Health information systems: the foundations of public health. Bulletin of the World Health Organization. 2005;83(8):578-83.
  2. Mphatswe W, Mate KS, Bennett B, Ngidi H, Reddy J, Barker PM, et al. Bull World Health Organ. Improving public health information: a data quality intervention in KwaZulu-Natal, South Africa. 2012;90:176-82.
  3. Wyatt JC. Hospital information management: the need for clinical leadership. Bmj. 1995;311(6998):175-8.
  4. Zhang L-P, Meixian Wang M, Wang Y, Zhu J, Zhang* N. Focus on a 2019-novel coronavirus (SARS-CoV-2). Future Microbiol 2020;10.2217/fmb-2020-0063.
  5. Cheng ZJ, Shan J. 2019 Novel coronavirus: where we are and what we know. Infection. 2020;48(2):155-63.
  6. Oza S, Wing K, Sesay AA, Boufkhed S, Houlihan C, Vandi L, et al. Improving health information systems during an emergency: lessons and recommendations from an Ebola treatment centre in Sierra Leone. BMC medical informatics and decision making. 2019;19(1):100.
  7. FEWS NET. Mali Key Message Update: L’impact du COVID-19 et l’insécurité ont réhaussé l’insécurité alimentaire dans le pays, juillet 2020. Famine Early Warning Systems Network, USAID; 2020.
  8. Traoré AM, Dabo G, Maiga AI, Minta DK. Manuel de prise en charge de la coronavirose à COVID-19. 2020.
  9. Velavan TP, Meyer CG. The COVID-19 epidemic. Tropical medicine & international health : TM & IH. 2020;25(3):278-80.
  10. Singhal T. A Review of Coronavirus Disease-2019 (COVID-19). Indian J Pediatr. 2020;87(4):281-6.
  11. Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, et al. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - an update on the status. Military Medical Research. 2020;7(1):11.
  12. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506.
  13. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. Jama. 2020;323(11):1061-9.
  14. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13.
  15. Chang D, Lin M, Wei L, Xie L, Zhu G, Dela Cruz CS, et al. Epidemiologic and Clinical Characteristics of Novel Coronavirus Infections Involving 13 Patients Outside Wuhan, China. Jama. 2020;323(11):1092-3.
  16. WHO. Countries: Mali: WHO; 2020 [Available from: https://www.who.int/countries/mli/en/.
  17. To KK-W, Tsang OT-Y, Yip CC-Y, Chan K-H, Wu T-C, Chan JM-C, et al. Consistent Detection of 2019 Novel Coronavirus in Saliva. Clinical Infectious Diseases. 2020.
  18. Coulibaly S, Siby D, Sangho O, Togola OB, Guindo I, Abdou M, et al. Laboratory contribution to the diagnosis of COVID-19 in Mali in 2020. Health Sci Dis. Sept 2022. 23(9).
  19. Cohen J, Kupferschmidt K. Countries test tactics in 'war' against COVID-19. Science (New York, NY). 2020;367(6484):1287-8.
  20. Sousa-Pinto B, Fonseca JA, Oliveira B, Cruz-Correia R, Rodrigues PP, Costa-Pereira A, et al. Simulation of the effects of COVID-19 testing rates on hospitalizations. Bulletin of the World Health Organization. 2020;98(5):299.
  21. Kim KH, Tandi TE, Choi JW, Moon JM, Kim MS. Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications. The Journal of hospital infection. 2017;95(2):207-13.
  22. WHO. Clinical management of COVID-19: Interim guidance 27 May 2020. World Health Organization; 2020.
  23. Edelson DP, Sasson C, Chan PS, Atkins DL, Aziz K, Becker LB, et al. Interim Guidance for Basic and Advanced Life Support in Adults, Children, and Neonates With Suspected or Confirmed COVID-19: From the Emergency Cardiovascular Care Committee and Get With The Guidelines-Resuscitation Adult and Pediatric Task Forces of the American Heart Association. Circulation. 2020;141(25):e933-e43.
  24. CDC COVID-19 Response Team. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) - United States, February 12-March 16, 2020. MMWR Morbidity and mortality weekly report. 2020;69(12):343-6.
  25. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. Jama. 2020.
  26. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. The New England journal of medicine. 2020;382(18):1708-20.
  27. Arons MM, Hatfield KM, Reddy SC, Kimball A, James A, Jacobs JR, et al. Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. The New England journal of medicine. 2020;382(22):2081-90.
  28. Kimball A, Hatfield KM, Arons M, James A, Taylor J, Spicer K, et al. Asymptomatic and Presymptomatic SARS-CoV-2 Infections in Residents of a Long-Term Care Skilled Nursing Facility - King County, Washington, March 2020. MMWR Morbidity and mortality weekly report. 2020;69(13):377-81.
  29. Qian G, Yang N, Ma AHY, Wang L, Li G, Chen X, et al. A COVID-19 Transmission within a family cluster by presymptomatic infectors in China. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2020.
  30. Wang Y, Liu Y, Liu L, Wang X, Luo N, Li L. Clinical Outcomes in 55 Patients With Severe Acute Respiratory Syndrome Coronavirus 2 Who Were Asymptomatic at Hospital Admission in Shenzhen, China. J Infect Dis. 2020;221(11):1770-4.
  31. Hu Z, Song C, Xu C, Jin G, Chen Y, Xu X, et al. Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. Science China Life sciences. 2020;63(5):706-11.
  32. Wei WE, Li Z, Chiew CJ, Yong SE, Toh MP, Lee VJ. Presymptomatic Transmission of SARS-CoV-2 - Singapore, January 23-March 16, 2020. MMWR Morbidity and mortality weekly report. 2020;69(14):411-5.
  33. Diarra A, Traore AM, Touré MK, Traore B, Kodio M, Coulibaly YI, et al. Profil Épidémioclinique des Patients Infectés par le COVID -19 à l’Hôpital de Dermatologie de Bamako. Health Sci D. 2021 Apr 25

Most read articles by the same author(s)