International Journal of Research and Scientific Innovation (IJRSI)

Submission Deadline-23rd December 2024
Last Issue of 2024 : Publication Fee: 30$ USD Submit Now
Submission Deadline-05th January 2025
Special Issue on Economics, Management, Sociology, Communication, Psychology: Publication Fee: 30$ USD Submit Now
Submission Deadline-20th December 2024
Special Issue on Education, Public Health: Publication Fee: 30$ USD Submit Now

COVID-19 in Suspected Cases at Federal Medical Centre Keffi.

  • Torgabo Uchenna
  • Ibrahim Ismaila
  • Akpan Emmanuel
  • Okwori Emmanuel
  • Oguntoye Emmanuel
  • Owoyele Mercy
  • Muhammed Usman
  • 1-9
  • Jul 25, 2024
  • Health

COVID-19 in Suspected Cases at Federal Medical Centre Keffi.

Torgabo Uchenna, Ibrahim Ismaila*, Akpan Emmanuel, Okwori Emmanuel, Oguntoye Emmanuel, Owoyele Mercy, Muhammed Usman.

Medical Laboratory Department, Molecular Biology Unit, Federal Medical Centre, P.M.B. 1004, Keffi, Nasarawa State, Nigeria.

*Corresponding Author

DOI: https://doi.org/10.51244/IJRSI.2024.1107001

Received: 11 June 2024; Revised: 27 June 2024; Accepted: 01 July 2024; Published: 25 July 2024

ABSTRACT

This study aimed to determine the epidemiological and clinical features of COVID-19 infection among suspected cases accessing healthcare at Federal Medical Centre Keffi Nasarawa State, Nigeria between September 2020 and December 2021. The study was retrospective and utilized information from 1929 patients of both genders and of different age groups including their clinical data from the hospital’s electronic medical records and patient’s case investigation forms. Nasopharyngeal swabs were collected from the subjects and tested using the GeneXpert proprietary platform. The study revealed that 502 of the subjects tested positive for COVID-19. The Chi-Square test shows that there was a significant relationship between the infection and age of the subjects. Also, the study revealed that females were infected more compared to male subjects. Furthermore, the Chi-Square test revealed cough to be the predominant symptom. The study recommends that the Government should prioritize vaccination and targeted screening of vulnerable age groups who could either be at high risk of the infection or serve as carriers. The use of face masks is highly recommended as coughing was found to be associated with the infection. While gender was found to be significantly associated with COVID-19, the reason for this association is unclear, therefore, it is recommended that gender be put into consideration when designing intervention and screening programmes in future outbreaks. There is a need for further studies to understand the disease transmission dynamics which will help in forestalling future pandemics.

Keywords: Coronavirus disease 2019 (COVID-19); SARS-CoV-2; GeneXpert; Age; Gender; Symptoms.

INTRODUCTION

The Coronavirus Disease (COVID-19) is a respiratory disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus [1] The disease was first reported in Wuhan City, Hubei Province of China in December 2019. Initial cases of COVID-19 were described as pneumonia of unknown aetiology [2]. There are suggestions that the infectious agent may have originated from bats and pangolins [3, 4]. The virus is transmitted from person to person predominantly through droplets produced when an infected individual coughs or sneezes and through saliva or discharge droplets. COVID-19 is very contagious with clinical symptoms which include high fever, cough, dyspnoea, myalgia, fatigue, headache, normal or decreased leukocyte count, and radiographic evidence of pneumonia [1,2]. The mean incubation period of SARS-CoV-2 is 5 days, and symptoms can last for 6-41 days, with a mean of 14 days [5]. The patient’s age and immune status play an important role in the observed symptoms, intensity of the disease, and duration. Patients with pre-existing conditions, such as diabetes and respiratory or cardiovascular disorders, are more susceptible to COVID-19 [6]. There have also been reported cases of mild to asymptomatic infection in patients during its entire course, while others present severe symptoms that may lead to death. However, the reason for these diverse manifestations is unclear. Still, it has been suggested that certain host genetic factors, as well as viral genetic variations, may influence the clinical course and outcome of COVID-19 [7]. Since the first case of COVID-19 was reported in China, it continued to evolve and spread throughout the world to involve the majority, if not all, the countries including Nigeria [8]. The first case of COVID-19 reported in Nigeria, was an imported case from Italy that was confirmed on the 27th of February 2020 in Lagos, Southwest Nigeria which had a major impact on the already weak healthcare system in the country [9]. The pandemic has a large number of infected patients that far exceeded the equivalents of severe acute respiratory syndromes (SARS) and Middle East respiratory syndrome (MERS), though with a lower fatality rate. Nigeria is among the top 5 countries in Sub-Saharan Africa with the highest number of confirmed cases of COVID-19 [8,9]. COVID-19 was declared a global pandemic due to its wild spread worldwide by the World Health Organisation (WHO) on March 11th, 2020 [10].  A prevalence of 19.6% has been reported in Nasarawa state by [19]. This study is deemed timely as the world faces an unprecedented pandemic of this burden in modern history, stretching the health sector in human and material resources as there a need to investigate the disease dynamics. The objective of this research is to determine the prevalence of COVID-19 in the study area and to identify demographic and clinical characteristics associated with the infection as the pandemic exposes the county’s vulnerability to globalization and worsening public health system. Also, this study seeks to provide data and information that could inform policy and healthcare decisions related to COVID-19 prevention and control in the study area and in the country at large.

METHODOLOGY

Study Area

This study was conducted in Keffi, approximately 69.5km from Abuja, the Federal Capital Territory, and 124km from Lafia, the capital of Nasarawa state. Keffi is located between latitude 8° 49′ 24″ N of the equator and longitude 7° 52′ 35″ E and is situated at an altitude of 850m above sea level [11, 12, 13].

Study Design and Population

This was a retrospective study that used the medical records of suspected and confirmed COVID-19 patients who presented to the hospital from September 2020 to December 2021.

Inclusion and Exclusion Criteria

All clients who presented for the first time and met the case definition at Federal Medical Center, Keffi (FMCK) from September 2020 to December 2021 were included.

While cases of reinfection (i.e., people who have had the infection more than once) and cases of repeat tests and follow-up were excluded.

Ethical Approval

The ethical approval for this research was obtained from the Health Research Ethics Committee, Federal Medical Centre Keffi with certificate number FMC/KF/HREC/02631/24.

Method

A retrospective analysis was conducted using data retrieved from the laboratory database, including 1929 patient results between September 2020 and December 2021, as well as age, sex, and clinical symptoms. All the nasopharyngeal/oropharyngeal specimens collected from the patients were tested using the GeneXpert proprietary automated sample processing real-time RT-PCR for detection of viral E gene and the N2 region of the N gene as its SARS-CoV-2- specific target within 50 minutes as described by [13, 14, 15].

Data Analysis

The data obtained from this study will be analysed using the Chi-square test by the use of Statistical Package for Social Sciences (SPSS) version 23.0 (IBM, Armonk, NY, USA) statistical software. Values obtained will be considered significant at 95% probability (i.e., p ≤ 0.05).

RESULTS AND DISCUSSION

Table 1: Participants Demographics

Variables Number of participants Percentage (%)
Male 1054 54.64%
Female 875 45.36%
Age (Years)
0-10 206 10.68%
11-20 220 11.40%
21-30 481 24.94%
31-40 479 24.83%
41-50 287 14.88%
51-60 168 8.71%
61-70 60 3.11%
71-80 19 0.94%
81-90 8 0.41%
>90 1 0.05%
TOTAL 1929 100%

An overview of the subject’s demographics shows that there were more males tested for COVID-19 1054 (54.64%) compared to females 875 (45.36%) suggesting that male subjects were readily available to be tested or presented themselves to the hospital more than the females. Also, participants withing the age group 21-30 had the highest infection rate 481 (24.94%). This could be as a result of the fact that subjects of this age group are care givers to their elderly parents and are more active outdoors [59], [60].

Table 2. Prevalence of COVID-19 Concerning Gender

Gender Number Examined Number Negative Number Positive Prevalence (%) P-value
Male 1054 816 238 21.8%
Female 875 611 264 30.2%  0. 000
TOTAL 1929 1427 502 26.0%

The study shows a significant relationship between rate of COVID-19 infection and gender (P=.05). Of the 875 females tested, 265 were positive for COVID-19 (30.2%), while 238 males tested positive out of 1054 with a prevalence of 21.8 %. This is consistent with a high rate of infection among females reported in Nigeria by [23, 26] and other parts of the world by [34, 35, 36, 37]. Intriguingly, the reverse was reported by a majority of researchers in Nigeria [21, 24, 32, 38, 39, 40, 41], across Africa and other continents [42, 43, 44, 45, 46, 47, 48]. There is no clear-cut reason for this disparity, however, studies have reported difference in disease prevalence concerning gender could be a result of lifestyle/behavioural, occupational, genetic, immunological, and hormonal factors that may predispose one to the infection [31, 35, 36, 39,45, 48, 49, 50]. Furthermore, the relationship between COVID-19 and the age difference of participants was examined from ages 0 to those greater than 90 years. Those within the age group of 21-30 had 141 positive cases (29.3%), followed by those aged 31-40 with reported cases of 136(28.4%) while the least prevalence was seen among those greater than 90 years 0 (0%) with P=.05 as seen in Table 3. This is consistent with several reports [23, 32, 38, 39, 40, 41, 43, 48, 55, 56]. However, infections among persons aged 41 and above have also been reported [19, 21, 22, 41, 53, 55, 57, 58]. The findings of our study may be attributed to the fact that young adults are the primary caregivers to their children and parents when they get sick, and also because they engage more in social activities that predispose them to the infection. This is consistent with reports by [59], [60].

Table 4: Prevalence of COVID-19 Concerning Symptoms

Symptom Number Positive Prevalence (%) P-value
Fever 262 13.6%
Sore throat 155 8.0%
Runny nose 188 9.7%
Coughing 323 16.7%
Vomiting 68 3.5%
Nausea 57 3.0% 0.001
Diarrhoea 47 2.4%
Shortness of breath 96 5.0%
Loss of taste 107 6.0%
Loss of smell 94 4.9%

Fever 262(13.6%), sore throat 155(8.0%), runny nose 188(9.7%), coughing 323(16.7%), vomiting 68 (3.5%), nausea 57 (3.0%), diarrhoea 47 (2.4%), shortness of breath 96 (5.0%), loss of taste 107 (6.0%) and loss of smell 94 (4.9%) respectively were the symptoms reported in this study. Coughing had the highest prevalence of 323(16.7%) while the least reported prevalence was diarrhoea 47(2.4%) with P=.05 as shown in Table 4. A Similar prevalence of different symptoms associated with COVID-19 has been reported previously by [2, 4, 9, 21, 45, 48, 52, 53, 54]. Coughing has been reported in several studies as an important symptom in COVID-19infection as it plays a major role in the disease transmission. The consistency in the prevalence of symptoms in Nigeria and globally may be a result of one or more of these symptoms having to be observed to meet the case definition for COVID-19 testing [13, 15, 41].

CONCLUSION

The COVID-19 pandemic has a large number of infected patients that far exceeded the equivalents of severe acute respiratory syndromes (SARS) and Middle East respiratory syndrome (MERS), though with a lower fatality rate. Nigeria is among the top 5 countries in Sub-Saharan Africa with the highest number of confirmed cases of COVID-19. This study found that females were more infected than males, while subjects aged 21 to 40 tested positive higher than that observed in other age groups. Also, coughing was found to be significantly associated with COVID-19 infection. These variables may play a significant part in the disease distribution in the study area.

ACKNOWLEDGMENTS

Sincere gratitude goes to the management of Federal Medical Centre, Keffi for permitting us to carry out this work.

FUNDING

This study was self-sponsored by the authors

COMPETING INTERESTS

The authors have declared that there are no existing competing interests.

AUTHORS’ CONTRIBUTIONS

This work was carried out in collaboration among all authors. Authors TU and II designed the study, compiled participant’s data, carried out the statistical analyses, and wrote the first draft of the manuscript. Authors, AE, and OE designed the study and managed literature searches, Authors OE, OM and MU wrote the study protocols, and managed the data and analyses of the study. All authors read and approved the final manuscript.

REFERENCES

  1. World Health Organization. 2020. Naming the coronavirus disease (COVID-19) and the virus that causes it. https://who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-itAccessed 14 November 2023
  2. World Health Organization. https://www.who.int/emergencies/disease-outbreak-news/item/2020-DON229. Accessed March 2024
  3. Gupta, S. K., Minocha, R., Thapa, P. J., Srivastava, M., & Dandekar, T. (2022). Role of the Pangolin in Origin of SARS-CoV-2: An Evolutionary Perspective. International journal of molecular sciences23(16), 9115. https://doi.org/10.3390/ijms23169115
  4. Zhou, P., Yang, X. L., Wang, X. G., Hu, B., Zhang, L., Zhang, W., Si, H. R., Zhu, Y., Li, B., Huang, C. L., Chen, H. D., Chen, J., Luo, Y., Guo, H., Jiang, R. D., Liu, M. Q., Chen, Y., Shen, X. R., Wang, X., Zheng, X. S., … Shi, Z. L. (2020). A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature579(7798), 270–273.
  5. Allan, M., Lièvre, M., Laurenson-Schafer, H., de Barros, S., Jinnai, Y., Andrews, S., Stricker, T., Formigo, J. P., Schultz, C., Perrocheau, A., & Fitzner, J. (2022). The World Health Organization COVID-19 surveillance database. International journal for equity in health21(Suppl 3), 167. https://doi.org/10.1186/s12939-022-01767-5
  6. Alyammahi, S. K., Abdin, S. M., Alhamad, D. W., Elgendy, S. M., Altell, A. T., & Omar, H. A. (2021). The dynamic association between COVID-19 and chronic disorders: An updated insight into prevalence, mechanisms and therapeutic modalities. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases87, 104647. https://doi.org/10.1016/j.meegid.2020.104647
  7. Kim, C., Kim, W., Jeon, J. H., Seok, H., Kim, S. B., Choi, H. K., Yoon, Y. K., Song, J. Y., Park, D. W., Sohn, J. W., & Choi, W. S. (2021). COVID-19 infection with asymptomatic or mild disease severity in young patients: Clinical course and association between prevalence of pneumonia and viral load. PloS one16(4), e0250358. https://doi.org/10.1371/journal.pone.0250358.
  8. Africa CDC. Coronavirus Disease 2019 (COVID-19). Latest updates on the COVID-19 crisis from Africa CDC.  Available from: URL https://africacdc.org/covid-19/
  9. Nigeria Centre for Disease Control. First case of coronavirus disease confirmed in Nigeria. Available from: https://ncdc.gov.ng/news/227/first-case-of corona-virus-disease-confirmed-in-nigeria.
  10. World Health Organization 2020.https://www.who.int/director general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020? Accessed December 2023.
  11. Akwa, V.L., Binbol, N.L., Samaila, K.L., and Marcus, N.D. (2007). Geographical Perspective of Nasarawa State. Onaivi Printing and Publishing Company, Keffi. 3
  12. Https://www.google.com/maps/dir/keffi/Abuja,+Federal+Capital+Territory.  Accessed January 2023.
  13. Centres for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/index.html. Accessed January, 2023.
  14. World Health Organisation. Xpert MTB/RIF implementation manual Technical and operational how-to; practical considerations. WHO/HTM/TB/2014.1. Accessed January, 2023.
  15. National Strategy to Scale-up Access to Coronavirus Disease Testing in Nigeria. https://covid19.ncdc.gov.ng/media/files/COVID19TestingStrategy_2ZWBQwh.pdf. Accessed January, 2023.
  16. Naseer, S., Khalid, S., Parveen, S., Abbass, K., Song, H., & Achim, M. V. (2023). COVID-19 outbreak: Impact on global economy. Frontiers in public health10, 1009393. https://doi.org/10.3389/fpubh.2022.1009393
  17. Mofijur, M., Fattah, I. M. R., Alam, M. A., Islam, A. B. M. S., Ong, H. C., Rahman, S. M. A., Najafi, G., Ahmed, S. F., Uddin, M. A., & Mahlia, T. M. I. (2021). Impact of COVID-19 on the social, economic, environmental and energy domains: Lessons learnt from a global pandemic. Sustainable production and consumption26, 343–359. https://doi.org/10.1016/j.spc.2020.10.016.
  18. Filip, R., Gheorghita Puscaselu, R., Anchidin-Norocel, L., Dimian, M., & Savage, W. K. (2022). Global Challenges to Public Health Care Systems during the COVID-19 Pandemic: A Review of Pandemic Measures and Problems. Journal of personalized medicine12(8), 1295. https://doi.org/10.3390/jpm12081295
  19. Adamu, I. A., Jaggu, R. A., Margaret, I. E., Olukemi, T. O., Emmanuel, A. A., Akinyinka, A. (2020). Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection among health care workers in Nasarawa State, Nigeria: implications for infection prevention and control measures. Pan African Medical Journal.37(1):21. 10.11604/pamj.supp.2020.37.1.25767.
  20. Umeozuru, C.M., Usman, A.B., Olorukooba, A.A., Abdullahi, I.N., John, D.J., Lawal, L.A. et al. (2022). Performance of COVID-19 case-based surveillance system in FCT, Nigeria, March 2020 –January 2021. PLoS ONE 17(4): e0264839. https://doi.org/ 10.1371/journal.pone.0264839
  21. Salako, A. O., Amoo, O. S., Odubela, O. O., Osuolale, K. A., James, A. B., Oladele, D. A., Musa, A. Z., Ige, F. A., Okwuraiwe, A. P., Onwuamah, C. K., Shaibu, J. O., David, A. N., Audu, R. A., Ezechi, O. C., Odunukwe, N. N., Salako, B. L. (2021). Prevalence and Clinical Characteristics of Coronavirus Disease 2019 Seen at a Testing Centre in Lagos Nigeria.West Afr J Med; 38(1): 54-58, 2021 01.
  22. Al-Mustapha, A.I., Abubakar, M.I., Oyewo, M., Esighetti, R.E., Ogundijo, O.A., Bolanle, L.D., Fakayode, O.E., Olugbon, A.S., Oguntoye, M., and Elelu, N. (2022). Socio-Demographic Characteristics of COVID-19 Vaccine Recipients in Kwara State, North Central Nigeria. Front. Public Health 9:773998. doi: 10.3389/fpubh.2021.773998.
  23. Akande OW, Elimian KO, Igumbor E, et al. (2021). Epidemiological comparison of the first and second waves of the COVID-19 pandemic in Nigeria, February 2020–April 2021. BMJ Global Health. 6:e007076. doi:10.1136/ bmjgh-2021-007076
  24. Oleribe, O., Olawepo, O., Ezechi, O., Osita-Oleribe, P., Fertleman, M., & Taylor-Robinson, S. D. (2022). Describing the Epidemiology of COVID-19 in Nigeria: An Analysis of the First Year of the Pandemic. Journal of health care for the poor and underserved33(1), 33–46. https://doi.org/10.1353/hpu.2022.0005
  25. Stephen, R.I.; Olumoh, J.; Tyndall, J.; Adegboye, O. (2022). Risk Factors for COVID-19 Infection among Healthcare Workers in North-East Nigeria. Healthcare. https://doi.org/10.3390/ healthcare10101919
  26. Samson, O. O., Emmanuel, I. O., Famutimi, Y. B., Abdulrahman, A. O., Olamijuwon, P. B., Ayara, P. A., and Abdulwasiu, O. H. (2024). Prevalence of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) in Nigeria. International Digital Organization for Scientific Research. JOURNAL OF APPLIED SCIENCES 9(1) 24-27, 2024. https://doi.org/10.59298/IDOSRJAS/2024/1.4.67598.
  27. Hlabisa, V., & Nobuhle Jaya, Z. (2023). A RETROSPECTIVE CROSS-SECTIONAL STUDY INVESTIGATING THE PREVALENCE OF COVID-19 AND TB COINFECTION IN PATIENTS IN KWAZULU-NATAL, SOUTH AFRICA. Student’s Journal of Health Research Africa4(6), 9. https://doi.org/10.51168/sjhrafrica.v4i6.41614.5%
  28. Adane, T., Adugna, Y., & Aynalem, M. (2022). Prevalence of COVID-19 in West Gondar Zone, Northwest Ethiopia: A Population-Based Retrospective Study. Disaster medicine and public health preparedness17, e156. https://doi.org/10.1017/dmp.2022.72
  29. Gudina EK, Gobena D, Debela T, et al. (2020). COVID-19 in Oromia Region of Ethiopia: a review of the first 6 months’ surveillance data. BMJ Open 2021;11: e046764. doi:10.1136/ bmjopen-2020-046764
  30. Gambazza, S., Bargeri, S., Campanini, I. et al. (2021). Prevalence and associated factors of COVID-19 across Italian regions: a secondary analysis from a national survey on physiotherapists. Arch Physiother 11, 30 (2021). https://doi.org/10.1186/s40945-021-00125-y
  31. Louis, J., Ai, K., Lee, S., Christian, T., Marcel, K, et al. (2021) Prevalence of, and factors associated with, long-term COVID-19 sick leave in working-age patients followed in general practices in Germany. International Journal of Infectious Diseases, 2021, 109,203-208. ff10.1016/j.ijid.2021.06.063ff. final-03401847
  32. Osibogun A, Balogun M, Abayomi A, Idris J, Kuyinu Y, Odukoya O, et al. (2021) Outcomes of COVID-19 patients with comorbidities in southwest Nigeria. PLoS ONE 16(3): e0248281. https://doi. org/10.1371/journal.pone.0248281.
  33. Ernest Kenu, Magdalene A. Odikro, Keziah L. Malm, Franklin Asiedu-Bekoe, Charles L. Noora, Joseph A. Frimpong, Benedict Calys-Tagoe & Kwadwo A. Koram. (2020). Epidemiology of COVID-19 outbreak in Ghana, 2020. Ghana Med J 2020; 54(4) supplement: 5-15 doi: http://dx.doi.org/10.4314/gmj.v54i4s.3
  34. Paul LA, Daneman N, Schwartz KL, et al. Association of Age and Pediatric Household Transmission of SARS-CoV-2 Infection. JAMA Pediatr. 2021;175(11):1151–1158. doi:10.1001/jamapediatrics.2021.2770
  35. Kaim, A.; Shetrit, S.B.; Saban, M. (2022). Women Are More Infected and Seek Care Faster but Are Less Severely Ill: Gender Gaps in COVID-19 Morbidity and Mortality during Two Years of a Pandemic in Israel. Healthcare 2022, 10, 2355. https://doi.org/10.3390/healthcare10122355
  36. Zaher, K., Basingab, F., Alrahimi, J., Basahel, K., & Aldahlawi, A. (2023). Gender Differences in Response to COVID-19 Infection and Vaccination. Biomedicines11(6), 1677. https://doi.org/10.3390/biomedicines11061677
  37. Kuehn BM. (2021). COVID-19 in Clinicians—More Cases in Women, More Deaths in Men. JAMA.325(15):1498. doi:10.1001/jama.2021.5500
  38. Okoroiwu, H. U., Ogar, C. O., Nja, G. M. E., Abunimye, D. A., & Ejemot-Nwadiaro, R. I. (2021). COVID-19 in Nigeria: account of epidemiological events, response, management, preventions and lessons learned. Germs11(3), 391–402. https://doi.org/10.18683/germs.2021.1276
  39. Shorunke, F.O., Okolocha, E.C., Kia, G.S. et al. Prevalence and risk factors associated with SARS-CoV-2 infections among veterinary practitioners and dog patients, June-August 2020, Lagos, Nigeria. One Health Outlook 4, 4 (2022). https://doi.org/10.1186/s42522-022-00062-1
  40. Fakayode OE, Awoyale OD, Ilesanmi OS, Oladiji F, Afolabi AA, Oyewo MT. (2022). Descriptive analysis of the COVID-19 pandemic during the first and second waves in a North-Central State in Nigeria. Int J Travel Med Glob Health. 2022;10(2):76-82. doi:10.34172/ijtmgh.2022.14.
  41. Elimian, K. O., Ochu, C. L., Ilori, E., Oladejo, J., Igumbor, E., Steinhardt, L., … Ihekweazu, C. (2020). Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February–6 June 2020. Epidemiology and Infection, 148, e208. doi:10.1017/S095026882000206X
  42. Kenu, E., Odikro, M. A., Malm, K. L., Asiedu-Bekoe, F., Noora, C. L., Frimpong, J. A., Calys-Tagoe, B., & Koram, K. A. (2020). Epidemiology of COVID-19 outbreak in Ghana, 2020. Ghana Medical Journal54(4 Suppl), 5–15. https://doi.org/10.4314/gmj.v54i4s.3
  43. Haftom, T. A., Mengistu, M. A., Mohamedawel, M. E., Yibrah, B. Z., Afework, M. B., Getachew, R. T., Berhane, F. T., Solomon, Hintsa., Abadi, L. W. (2021). Epidemiological and Clinical Characteristics of COVID-19 Patients in Northern Ethiopia: A Retrospective Cohort Study. Infection and Drug Resistance. 2022:15 3579–3588
  44. Bruine de Bruin W. (2021). Age Differences in COVID-19 Risk Perceptions and Mental Health: Evidence From a National U.S. Survey Conducted in March 2020. The Journal of Gerontology. Series B, Psychological sciences and social sciences76(2), e24–e29. https://doi.org/10.1093/geronb/gbaa074
  45. Amin, M.T, Hasan, M. and Bhuiya, N.M.M.A. (2021) Prevalence of Covid-19 Associated Symptoms, Their Onset and Duration, and Variations Among Different Groups of Patients in Bangladesh. Front. Public Health 9:738352. doi: 10.3389/fpubh.2021.738352
  46. Biswas, R. (2020). Are Men More Vulnerable to Covid-19 as Compared to Women? Biomed J Sci & Tech Res 27(2)-2020. BJSTR. MS.ID.004481.
  47. Paranjpe, I., Russak, A.J., De Freitas, J.K., et al. (2020). Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City. BMJ Open 2020;10: e040736. doi:10.1136/ bmjopen-2020-040736
  48. Makanjuola, R., Ishaleku, D., & Taylor-Robinson, A. (2020). COVID-19 and malaria in sub-Saharan Africa: Holistic diagnostic approaches may promote effective clinical case management. Microbes and Infectious Diseases1(3), 100-106. doi: 10.21608/mid.2020.36762.1039
  49. Pradhan, A., & Olsson, PE. (2020). Sex differences in severity and mortality from COVID-19: are males more vulnerable? Biol Sex Differ 11, 53. https://doi.org/10.1186/s13293-020-00330-7
  50. Sciarra, F., Campolo, F., Franceschini, E., Carlomagno, F., Venneri, M.A. (2023). Gender-Specific Impact of Sex Hormones on the Immune System. International Journal of Molecular Sciences. 24(7):6302. https://doi.org/10.3390/ijms24076302
  51. Moroh, J. E., Innocent, D. C., Chukwuocha, U. M., Vasavada, A., Kumar, R., Siddiq, M. A., Rais, M. A., Rabaan, A. A., Alshehri, W. M., Alharbi, A. M., Binateeq, M. A., Halwani, M. A., Al-Ahdal, T., Padhi, B. K., & Sah, R. (2023). Seasonal Variation and Geographical Distribution of COVID-19 across Nigeria (March 2020-July 2021). Vaccines11(2), 298. https://doi.org/10.3390/vaccines11020298
  52. Romero, C. N. S.; Colín, H. I.; Godoy, R. M. E.; Hernández, H. M.; García, V. A.; Paredes-solís, S. & Reyes, F. S. (2022). Clinical Signs and Symptoms Associated with COVID-19: A Cross Sectional Study. Int. J. Odontostomat., 16(1):112-119.
  53. Mesenburg, M.A., Hallal, P.C., Menezes, A.M.B., Barros, A.J.D., Horta, B.L., Hartwig, F.P. et al. (2021). Prevalence of symptoms of COVID-19 in the state of Rio Grande do Sul: results of a population-based study with 18,000 participants. Rev Saude Publica. 2021; 55:82. https://doi.org/10.11606/s1518- 8787.2021055004030
  54. Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., Tan, W., & China Novel Coronavirus Investigating and Research Team (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. The New England journal of medicine382(8), 727–733. https://doi.org/10.1056/NEJMoa2001017
  55. Mélodie Monod et al. (2021). Age groups that sustain resurging COVID-19 epidemics in the United States.Science371, eabe8372.DOI:10.1126/science. abe8372
  56. Shandar, A. (2020). The potential of age distribution profiles for the prediction of COVID-19 infection origin in a patient group. Informatics in Medicine Unlocked 20 (2020) 100364. https://doi.org/10.1016/j.imu.2020.100364
  57. Lu, X.J., Zhang, H.F., Adu, I.K., Xiong, Z., Zheng, Y.X., Wang, J.C. (2021). A Retrospective Study of the Related Common Factors of COVID-19. Electron J Gen Med. 2021;18(1): em262. https://doi.org/10.29333/ejgm/8548
  58. Aishat, B. U. et al. (2020). Epidemiology of coronavirus disease 2019 (COVID-19) outbreak cases in Oyo State South West Nigeria, March-April 2020. Pan African Medical Journal. 2020;35(2):88. [doi: 10.11604/pamj.supp.2020.35.2.23832]
  59. Liu, T., Liang, W., Zhong, H., He, J., Chen, Z., He, G., Song, T., Chen, S., Wang, P., Li, J., Lan, Y., Cheng, M., Huang, J., Niu, J., Xia, L., Xiao, J., Hu, J., Lin, L., Huang, Q., Rong, Z., … Ma, W. (2020). Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing. Emerging microbes & infections9(1), 1546–1553. https://doi.org/10.1080/22221751.2020.1787799
  60. Zou, L., Ruan, F., Huang, M., Liang, L., Huang, H., Hong, Z., Yu, J., Kang, M., Song, Y., Xia, J., Guo, Q., Song, T., He, J., Yen, H. L., Peiris, M., & Wu, J. (2020). SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients. The New England journal of medicine382(12), 1177–1179. https://doi.org/10.1056/NEJMc2001737

Article Statistics

Track views and downloads to measure the impact and reach of your article.

0

PDF Downloads

227 views

Metrics

PlumX

Altmetrics

GET OUR MONTHLY NEWSLETTER