Introduction: SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), emerged in December 2019 in Wuhan, China. The objective of this study was to assess the waiting time at each stage of COVID-19 case management in Guinea. Methodology: Prefectures with confirmed COVID-19 cases were the setting for this study. This was an evaluative cross-sectional survey of 440 participants. We performed a descriptive analysis of the data over periods: March- June and July-November 2020. The study focused on health professionals practicing in the epidemiological treatment centers and diseases. Results and discussion: The study involved a total of 440 participants including 125 health workers, 299 discharged cured (67.95%) and 141 still hospitalized (32.05%). About 90.36% of the subjects surveyed came from five communes of the special city of Conakry, namely Matoto (26.14%), Matam (14.55%), Ratoma (22.95%), Dixinn (13.18%) and Kaloum (4.55%) and the prefectures of Coyah (4.09%) and Dubreka (4.09%). Regarding gender, in total, 68.41% of the subjects surveyed were men and 31.59% were women, i.e. a sex ratio of 2.17. The waiting time for the results was longer between March and June compared to July and November without any statistically significant difference. The results of our study showed that the professional experience does not influence the change of attitude among the agents of care in the epidemiological treatment centers.
| Published in | Central African Journal of Public Health (Volume 8, Issue 4) |
| DOI | 10.11648/j.cajph.20220804.13 |
| Page(s) | 151-157 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Waiting Time, Care, COVID-19, Guinea and Significant Statistical Difference
| [1] | Damme WV, Dahake R, Delamou A, Ingelbeen B, Wouters E, Vanham G, et al. The COVID-19 pandemic: diverse contexts; different epidemics—how and why? BMJ Glob Health. 2020 Jul 1; 5 (7): e003098. |
| [2] | Mahendra Pal, Gemechu Berhanu and Venkataramana Kandi: 2020 Mar 26 12 (3): e7423.: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2): An Update. |
| [3] | World Health Organization. Transmission of SARS-CoV-2: implications for infection prevention precautions: scientific brief, 09 July 2020 [Internet]. World Health Organization; 2020 [cited 2022 May 3]. Report No.: WHO/2019-nCoV/Sci_Brief/Transmission_modes/2020.3. Available from: https://apps.who.int/iris/handle/10665/333114 |
| [4] | Ye ZW, Jin DY. Diagnosis, treatment, control and prevention of SARS-CoV-2 and coronavirus disease 2019: back to the future. Sheng Wu Gong Cheng Xue Bao Chin J Biotechnol. 2020 Apr 25; 36 (4): 571–92. |
| [5] | John S Mackenzie and David W Smith: 2020 Mar 17 COVID-19: a novel zoonotic disease caused by a coronavirus from China: what we know and what we don’t: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086482/ |
| [6] | COVID-19 Public Health Emergency of International Concern (PHEIC) Global research and innovation forum, 12 February 2020 Available from: https://www.who.int/publications/m/item/COVID-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum |
| [7] | ANSS. National Health Security Agency: Strategic Community Response Plan, Stop COVID-19 in 60 days. 2020 Jun. |
| [8] | ANSS. National Health Security Agency: Technical guide for COVID-19 Surveillance, Guinea. 2020. |
| [9] | COVID-19 Pandemic Situation - N°16 - June 30, 2020 - Part 3 Americas – Africa Lu 69. 1 juil. 2021 à 02h35: Available from https://au.int/fr/pressreleases/%2020180509/%20 |
| [10] | Africa centers for diseases Control and Prevention: 21 June 2022, at 17: 42 https://en.wikipedia.org/wiki/Africa_Centres_for_Disease_Control_and_Prevention |
| [11] | Coronavirus in Africa: which countries are affected.(2020). https://information.tv5monde.com/afrique/coronavirus-en- afrique-quels-sont-les-pays-impactes-350968 |
| [12] | B. Tinto, S. Salinas, A. Dicko,, T. S. Kagone,, I. Traore, N. de Rekeneire, B. W. Bicaba, H. Hien, N. Meda and P. van de Perre: 14 September 2020: Spreading of SARS-CoV-2 in West Africa and assessment of risk factors. |
| [13] | National Agency for security Health. (2020). Stop COVID-19 in 60 days, Conakry, Guinea. |
| [14] | Sylvie Sylvie van der Werf, Cécile Peltekian,: Mars-Avril 2020Facing challenges with the novel coronavirus SARS-CoV-2 outbreak Available from: https://www.jle.com/en/recherche/recherche.phtml?dans=auteur&texte= C%C3%A9cile%20Peltekian |
| [15] | WHO: Investing in and building longer-terms health emergency preparedness during the COVID-19 pandemic: Interim guidance for WHO Member States: 6 July 2020. |
| [16] | With a 5% margin of error, and a 95% confidence level, the value of Z is equal to 1.96; the degree of precision is estimated at 0.05 when α = 5%. Since the P proportion of the good quality COVID-19 care system is not known, we will apply the WHO principles (P = 50% and Q = 50%). http://www.raosoft.com/samplesize.html. |
APA Style
Sadou Sow, Alpha Oumar Diallo, Manengu Casimir Tshikolasoni, Idrissa Diallo, Abdoulaye Sow, et al. (2022). Waiting Time in the Chain of Care for COVID-19 in Guinea, 2020-2021. Central African Journal of Public Health, 8(4), 151-157. https://doi.org/10.11648/j.cajph.20220804.13
ACS Style
Sadou Sow; Alpha Oumar Diallo; Manengu Casimir Tshikolasoni; Idrissa Diallo; Abdoulaye Sow, et al. Waiting Time in the Chain of Care for COVID-19 in Guinea, 2020-2021. Cent. Afr. J. Public Health 2022, 8(4), 151-157. doi: 10.11648/j.cajph.20220804.13
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Download@article{10.11648/j.cajph.20220804.13,
author = {Sadou Sow and Alpha Oumar Diallo and Manengu Casimir Tshikolasoni and Idrissa Diallo and Abdoulaye Sow and Fode Bangaly Diakité and Check Tidiane Sidibe and Aamadou Bailo Diallo and Jean Konan Kouame and Georges Alfred Kizerbo and Ahmadou Barry and John Chukwudi and Traore Tieble and Mamadou Oury Balde},
title = {Waiting Time in the Chain of Care for COVID-19 in Guinea, 2020-2021},
journal = {Central African Journal of Public Health},
volume = {8},
number = {4},
pages = {151-157},
doi = {10.11648/j.cajph.20220804.13},
url = {https://doi.org/10.11648/j.cajph.20220804.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20220804.13},
abstract = {Introduction: SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), emerged in December 2019 in Wuhan, China. The objective of this study was to assess the waiting time at each stage of COVID-19 case management in Guinea. Methodology: Prefectures with confirmed COVID-19 cases were the setting for this study. This was an evaluative cross-sectional survey of 440 participants. We performed a descriptive analysis of the data over periods: March- June and July-November 2020. The study focused on health professionals practicing in the epidemiological treatment centers and diseases. Results and discussion: The study involved a total of 440 participants including 125 health workers, 299 discharged cured (67.95%) and 141 still hospitalized (32.05%). About 90.36% of the subjects surveyed came from five communes of the special city of Conakry, namely Matoto (26.14%), Matam (14.55%), Ratoma (22.95%), Dixinn (13.18%) and Kaloum (4.55%) and the prefectures of Coyah (4.09%) and Dubreka (4.09%). Regarding gender, in total, 68.41% of the subjects surveyed were men and 31.59% were women, i.e. a sex ratio of 2.17. The waiting time for the results was longer between March and June compared to July and November without any statistically significant difference. The results of our study showed that the professional experience does not influence the change of attitude among the agents of care in the epidemiological treatment centers.},
year = {2022}
}
TY - JOUR T1 - Waiting Time in the Chain of Care for COVID-19 in Guinea, 2020-2021 AU - Sadou Sow AU - Alpha Oumar Diallo AU - Manengu Casimir Tshikolasoni AU - Idrissa Diallo AU - Abdoulaye Sow AU - Fode Bangaly Diakité AU - Check Tidiane Sidibe AU - Aamadou Bailo Diallo AU - Jean Konan Kouame AU - Georges Alfred Kizerbo AU - Ahmadou Barry AU - John Chukwudi AU - Traore Tieble AU - Mamadou Oury Balde Y1 - 2022/07/20 PY - 2022 N1 - https://doi.org/10.11648/j.cajph.20220804.13 DO - 10.11648/j.cajph.20220804.13 T2 - Central African Journal of Public Health JF - Central African Journal of Public Health JO - Central African Journal of Public Health SP - 151 EP - 157 PB - Science Publishing Group SN - 2575-5781 UR - https://doi.org/10.11648/j.cajph.20220804.13 AB - Introduction: SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), emerged in December 2019 in Wuhan, China. The objective of this study was to assess the waiting time at each stage of COVID-19 case management in Guinea. Methodology: Prefectures with confirmed COVID-19 cases were the setting for this study. This was an evaluative cross-sectional survey of 440 participants. We performed a descriptive analysis of the data over periods: March- June and July-November 2020. The study focused on health professionals practicing in the epidemiological treatment centers and diseases. Results and discussion: The study involved a total of 440 participants including 125 health workers, 299 discharged cured (67.95%) and 141 still hospitalized (32.05%). About 90.36% of the subjects surveyed came from five communes of the special city of Conakry, namely Matoto (26.14%), Matam (14.55%), Ratoma (22.95%), Dixinn (13.18%) and Kaloum (4.55%) and the prefectures of Coyah (4.09%) and Dubreka (4.09%). Regarding gender, in total, 68.41% of the subjects surveyed were men and 31.59% were women, i.e. a sex ratio of 2.17. The waiting time for the results was longer between March and June compared to July and November without any statistically significant difference. The results of our study showed that the professional experience does not influence the change of attitude among the agents of care in the epidemiological treatment centers. VL - 8 IS - 4 ER -
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