The first cases of SARS-CoV-2 were diagnosed in BENIN in early March 2020. Measures have been instituted to control its spread, including barrier measures. The objective of this study is to determine the effectiveness of self-application of these measures among hospital staff at CNHU-HKM. Methods: This is a case-control study conducted from July 1, 2020 to January 1, 2021 on the risk factors of COVID-19 contamination. Included were any CNHU-HKM staff who underwent PCR testing for COVID-19 at the CNHU-HKM triage center during the study period. Data were collected using a survey form administered to respondents. Data analysis was performed with R 4.1.0 software. Results: A total of 141 patients were included in the study. The mean age was 35.5 (±11.1) years. The sex ratio (M/F) was 1.87. Fon and Mina ethnic groups were the most represented (74.5%). Workers older than 50 years were more likely to be exposed to COVID-19 (OR=4.83). Nurses in contact with patients (87.2% of the study population) had a higher risk of contamination (OR=3.6), compared to administrative staff. The FFP2 mask was a protective factor (OR=0.35) as well as long-term chemoprophylaxis with chloroquine (OR=0.44). Conclusion: Health care workers are at high risk of contamination by COVID-19. Barrier measures and chloroquine chemoprophylaxis are indeed mandatory in controlling the spread of the pandemic.
Published in | American Journal of Internal Medicine (Volume 9, Issue 5) |
DOI | 10.11648/j.ajim.20210905.12 |
Page(s) | 225-229 |
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), 2021. Published by Science Publishing Group |
Barrier Measures, Caregivers, COVID-19, Risk Factors
[1] | Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al.; China Novel Coronavirus Investigating and Research Team. A novel Coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020; 382: 727-33. |
[2] | Enitan SS, Ibeh IN, Oluremi AS, Olayanju AO et Itodo GE. The 2019 Novel Coronavirus Outbreak: Current Crises, Controversies and Global Strategies to Prevent Pandemic. IJPR. 2020; 4 (1): 1-16. DOI: 10.9734/ijpr/2020/v4i130099. |
[3] | Wordlometer. Coronavirus Worldwide Graphs. Available on: https://www.worldometers.info/coronavirus/worldwide-graphs/. Accessed May14, 2021. |
[4] | Patrick Aubert, Claire-Lise Dubost et al Les inégalités sociales face à l’épidémie de> COVID-19 les dossiers de Dress n° 62> juillet 2020. |
[5] | Nkengasong JN, Mankoula W. Looming threat of COVID-19 infection in Africa: act collectively, and fast. Lancet. 2020; 395 (10227): 841-2. |
[6] | Ministère de la santé, République du Benin, déclaration du ministre de la sante, Cotonou le 16 mars 2020 Gouvernement de la République du Bénin. Informations coronavirus (COVID-19) [Internet]. |
[7] | Gouvernement de la République du Bénin. [cité 15 mars 2021]. Disponible sur: https://www.gouv.bj/coronavirus. |
[8] | Lombardi A, Consonni D, Carugno M, Bozzi G, Mangioni D, Muscatello A, et al. Characteristics of 1573 healthcare workers who underwent nasopharyngeal swab testing for SARS-CoV-2 in Milan, Lombardy, Italy [available online ahead of print July 8 2020]. Clin Microbiol Infect. 2020. doi: 10.1016/j.cmi.2020.06.013. |
[9] | Ma Y, Diao B, Lv X, Zhu J, Chen C, Liu L, et al. Epidemiological, clinical, and immunological features of a cluster of COVID-19 contracted hemodialysis patients. Kidney Int Rep. 2020; 5 (8): 1333–1341. |
[10] | Mani NS, Budak JZ, Lan KF, Bryson-Cahn C, Zelikoff A, Barker GEC, et al. Prevalence of COVID-19 Infection and Outcomes Among Symptomatic Healthcare Workers in Seattle, Washington [available online ahead of print July 8 2020]. Clin Infect Dis. 2020: ciaa761. doi: 10.1093/cid/ciaa761. |
[11] | Jones NK, Rivett L, Sparkes D, Forrest S, Sridhar S, Young J, et al. Effective control of SARS-CoV-2 transmission between healthcare workers during a period of diminished community prevalence of COVID-19.eLife 2020; 9: e59391 DOI: 10.7554/eLife.59391. |
[12] | Martin C, Montesinos I, Dauby N, Gilles C, Dahma H, Van Den Wijngaert S, et al. Dynamic of SARS-CoV-2 RT-PCR positivity and seroprevalence among high-risk health care workers and hospital staff. J Hosp Infect. 2020; 102-106. |
[13] | Nakamura A, Sato R, Ando S, Oana N, Nozaki E, Endo H, et al. Seroprevalence of Antibodies to SARS-CoV-2 in Healthcare Workers in Non-epidemic Region: A Hospital Report in Iwate Prefecture, Japan. medRxiv. 2020. doi: 10.1101/2020.06.15.20132316. |
[14] | Paderno A., Fior M., Berretti G., Schreiber A., Grammatica A., Mattavelli D., et al. SARS-CoV-2 Infection in Health Care Workers: Cross-sectional Analysis of an Otolaryngology Unit. Otolaryngol Head Neck Surg. 2020; 194599820932162. Doi: 10.1177/0194599820932162. |
[15] | Parcell B, Brechin K, Allstaff S, Park M, Third W, Bean S, et al. Drive-through testing for SARS-CoV-2 in symptomatic health and social care workers and household members: an observational cohort study in Tayside, Scotland. medRxiv. 2020. doi: 10.1101/2020.05.08.20078386. Psichogiou M, Karabinis A, Pavlopoulou ID, Basoulis D, Petsios K, Roussos S, et al. Antibodies against SARS-CoV-2 among health care workers in a country with low burden of COVID-19. medRxiv. 2020. doi: 10.1101/2020.06.23.20137620. |
[16] | Rudberg A-S, Havervall S, Manberg A, Falk AJ, Aguilera K, Ng H, et al. SARSCoV-2 exposure, symptoms and seroprevalence in health care workers. medRxiv. 2020. doi: 10.1101/2020.06.22.20137646. |
[17] | Schmidt SB, Grüter L, Boltzmann M, Rollnik JD. Prevalence of serum IgG antibodies against SARS-CoV-2 among clinic staff. PLoS One. 2020; 15 (6): e0235417-e0235417. |
[18] | Schneider S, Piening B, Nouripasovsky PA, et al. SARS –CORONAVIRUS- 2 cases in healthcare workers may not regulary originate from patient care; lesson from university hospital on the underestimated risk of healthcare woorker transmission. Antimicrob Resist Infect Control. 7 déc 2020; 9 (1): 192. |
[19] | Agalar C, Öztûrk Engin D. Protective measures for COVID-19 for healthcare providers and laboratory personnel. Turk J Med SCI. 21 avr 2020; 50 (SI-1): 578-84. |
[20] | Tong X, Ning M, Huang R, Jia B, Yan X, Xiong Y et al. Surveillance of SARS-COV-2 infection among frontline health care workers in Wuhan Inflamm Dis. Déc 2020; 8 (4): 840-3. |
[21] | BMJ revue systematique vivante et meta-analyse en reseau sur les traitements COVID-19 BMJ 2020; 370: m 2980 https://www.bmj.com/content/370/bmj/.m2980. |
APA Style
Azon-Kouanou Angèle, Agbodandé Kouessi Anthelme, Wanvoégbè Armand Finagnon, Missiho Mahoutin Sèmassa Ghislain, Sokadjo Yves Morel, et al. (2021). COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features. American Journal of Internal Medicine, 9(5), 225-229. https://doi.org/10.11648/j.ajim.20210905.12
ACS Style
Azon-Kouanou Angèle; Agbodandé Kouessi Anthelme; Wanvoégbè Armand Finagnon; Missiho Mahoutin Sèmassa Ghislain; Sokadjo Yves Morel, et al. COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features. Am. J. Intern. Med. 2021, 9(5), 225-229. doi: 10.11648/j.ajim.20210905.12
AMA Style
Azon-Kouanou Angèle, Agbodandé Kouessi Anthelme, Wanvoégbè Armand Finagnon, Missiho Mahoutin Sèmassa Ghislain, Sokadjo Yves Morel, et al. COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features. Am J Intern Med. 2021;9(5):225-229. doi: 10.11648/j.ajim.20210905.12
@article{10.11648/j.ajim.20210905.12, author = {Azon-Kouanou Angèle and Agbodandé Kouessi Anthelme and Wanvoégbè Armand Finagnon and Missiho Mahoutin Sèmassa Ghislain and Sokadjo Yves Morel and Faladé Adélakoun Ange Géoffroy and Assogba Houénoudé Mickaël Arnaud and Mukwege Binji Lisa and Murhula Katabana Delphin and Oba Richard and Dansou Eugénie and Zannou Djimon Marcel and Houngbé Fabien}, title = {COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features}, journal = {American Journal of Internal Medicine}, volume = {9}, number = {5}, pages = {225-229}, doi = {10.11648/j.ajim.20210905.12}, url = {https://doi.org/10.11648/j.ajim.20210905.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajim.20210905.12}, abstract = {The first cases of SARS-CoV-2 were diagnosed in BENIN in early March 2020. Measures have been instituted to control its spread, including barrier measures. The objective of this study is to determine the effectiveness of self-application of these measures among hospital staff at CNHU-HKM. Methods: This is a case-control study conducted from July 1, 2020 to January 1, 2021 on the risk factors of COVID-19 contamination. Included were any CNHU-HKM staff who underwent PCR testing for COVID-19 at the CNHU-HKM triage center during the study period. Data were collected using a survey form administered to respondents. Data analysis was performed with R 4.1.0 software. Results: A total of 141 patients were included in the study. The mean age was 35.5 (±11.1) years. The sex ratio (M/F) was 1.87. Fon and Mina ethnic groups were the most represented (74.5%). Workers older than 50 years were more likely to be exposed to COVID-19 (OR=4.83). Nurses in contact with patients (87.2% of the study population) had a higher risk of contamination (OR=3.6), compared to administrative staff. The FFP2 mask was a protective factor (OR=0.35) as well as long-term chemoprophylaxis with chloroquine (OR=0.44). Conclusion: Health care workers are at high risk of contamination by COVID-19. Barrier measures and chloroquine chemoprophylaxis are indeed mandatory in controlling the spread of the pandemic.}, year = {2021} }
TY - JOUR T1 - COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features AU - Azon-Kouanou Angèle AU - Agbodandé Kouessi Anthelme AU - Wanvoégbè Armand Finagnon AU - Missiho Mahoutin Sèmassa Ghislain AU - Sokadjo Yves Morel AU - Faladé Adélakoun Ange Géoffroy AU - Assogba Houénoudé Mickaël Arnaud AU - Mukwege Binji Lisa AU - Murhula Katabana Delphin AU - Oba Richard AU - Dansou Eugénie AU - Zannou Djimon Marcel AU - Houngbé Fabien Y1 - 2021/09/30 PY - 2021 N1 - https://doi.org/10.11648/j.ajim.20210905.12 DO - 10.11648/j.ajim.20210905.12 T2 - American Journal of Internal Medicine JF - American Journal of Internal Medicine JO - American Journal of Internal Medicine SP - 225 EP - 229 PB - Science Publishing Group SN - 2330-4324 UR - https://doi.org/10.11648/j.ajim.20210905.12 AB - The first cases of SARS-CoV-2 were diagnosed in BENIN in early March 2020. Measures have been instituted to control its spread, including barrier measures. The objective of this study is to determine the effectiveness of self-application of these measures among hospital staff at CNHU-HKM. Methods: This is a case-control study conducted from July 1, 2020 to January 1, 2021 on the risk factors of COVID-19 contamination. Included were any CNHU-HKM staff who underwent PCR testing for COVID-19 at the CNHU-HKM triage center during the study period. Data were collected using a survey form administered to respondents. Data analysis was performed with R 4.1.0 software. Results: A total of 141 patients were included in the study. The mean age was 35.5 (±11.1) years. The sex ratio (M/F) was 1.87. Fon and Mina ethnic groups were the most represented (74.5%). Workers older than 50 years were more likely to be exposed to COVID-19 (OR=4.83). Nurses in contact with patients (87.2% of the study population) had a higher risk of contamination (OR=3.6), compared to administrative staff. The FFP2 mask was a protective factor (OR=0.35) as well as long-term chemoprophylaxis with chloroquine (OR=0.44). Conclusion: Health care workers are at high risk of contamination by COVID-19. Barrier measures and chloroquine chemoprophylaxis are indeed mandatory in controlling the spread of the pandemic. VL - 9 IS - 5 ER -