Araştırma Makalesi
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Covid 19 Pozitif Bireylerin Sosyodemografik Özelliklerinin Covid 19 Bulaşına Etkisi

Yıl 2023, Cilt: 3 Sayı: 2, 14 - 19, 21.08.2023
https://doi.org/10.58961/hmj.1279528

Öz

Amaç: Bu çalışmanın amacı, iki yılı aşkın süredir ülkemizi ve dünyamızı kasıp kavuran Covid 19 enfeksiyonunun bireysel yayılım nedenlerini incelemek, yayılımı etkileyen faktörleri tespit etmek ve sağlık okuryazarlığına dikkat çekmektir. ile mücadelede doğru önerilerde bulunmaktır.
Gereç ve Yöntemler: Araştırma, Mart 2021-Şubat 2022 tarihleri ​​arasında Bursa'nın merkez ilçeleri olan Yıldırım ve Nilüfer ilçelerinde HSYS sistemi üzerinden Covid testi pozitif çıkan kişilerle temasa geçilerek, ilgili kişilerin katılımıyla tanımlayıcı tipte yapılmıştır. anketi doldurmayı kabul etti
Bulgular: Çalışma Mart 2021-Şubat 2022 tarihleri ​​arasında Nilüfer ilçesinden 992 (%25,8) ve Yıldırım ilçesinden 2850 (%74,2) olmak üzere toplam 3842 kişiye ulaşılarak yapılmıştır. Nilüfer ilçesinde hastaların 8'i (%0,8) tecride gitmediğini belirtirken, Yıldırım ilçesinde bu oran 260 (%9,1) oldu. Katılımcıların temas ortalaması 2,42±2,52; Nilüfer ilçesinde 1,39±1,94, Yıldırım ilçesinde 2,77±2,60 olup aradaki fark istatistiksel olarak anlamlıdır.
Sonuç: İlimiz ölçeğinde sosyal yaşam, hane geliri, eğitim düzeyi, hane sayısı bazında yürüttüğümüz bu çalışmada, sosyoekonomik olarak gelişmiş ilçemizde Covid 19 salgınının yayılmasının etkilerini inceledik, eğitim düzeyi, hane gelirinin yüksek olması ve hanede yaşayan insan sayısının azlığının covid 19'un bulaşma oranını azalttığını gözlemledik.

Kaynakça

  • WHO. Coronavirus disease (COVID-19) Pandemic–April 12 Update (cited 2022 November 11). Available from: https:// www.who.int/emergencies/diseases/novel-coronavirus-2019.
  • WHO. Coronavirus (COVID-19) Dashboard (cited 2022 November 11). Available from: https://covid19.who.int/.
  • T.C. Sağlık Bakanlığı. COVID-19 Bilgilendirme Platformu (cited 2022 November 11). Available from: https://covid19.saglik. gov.tr/.
  • Achaiah NC, Subbarajasetty SB, Shetty RM. R0 and re of COVID-19: can we predict when the pandemic outbreak will be contained? Indian journal of critical care medicine: peer-reviewed, official publication of Indian Society of Critical Care Medicine. 2020;24(11):1125.
  • Hofmann J. Novel Influenza. In Netter’s Infectious Diseases, Elaine C. Jong, Dennis L. Stevens, editors. Saunders; 2012. p.530-536
  • Ward M, Maftei D, Apostu C, Suru A. Estimation of the basic reproductive number (R0) for epidemic, highly pathogenic avian influenza subtype H5N1 spread. Epidemiology & Infection. 2009;137(2):219-26.
  • Buja A, Paganini M, Cocchio S, Scioni M, Rebba V, Baldo V. Demographic and socio-economic factors, and healthcare resource indicators associated with the rapid spread of COVID- 19 in Northern Italy: An ecological study. PLoS One. 2020;15(12):e0244535.
  • Skogberg N, Koponen P, Lilja E, Austero S, Achame S, Castaneda AE. Access to information, preventive measures and working conditions during the coronavirus epidemic. 2021.
  • Helsinki G. Situation Room Report: The Corona Virus and Health Differences–In Which Socioeconomic Groups Have the Most Infections Been Observed in Finland? Helsinki Graduate School of Economics. 2021.
  • Siljander M, Uusitalo R, Pellikka P, Isosomppi S, Vapalahti O. Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland. Spatial and spatio-temporal epidemiology. 2022;41:100493.
  • 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. The lancet. 2020;395(10223):497-506.
  • Mo P, Xing Y, Xiao Y, Deng L, Zhao Q, Wang H, et al. Clinical characteristics of refractory COVID-19 pneumonia in Wuhan, China. Clinical infectious diseases. 2020.
  • Weng L-M, Su X, Wang X-Q. Pain symptoms in patients with coronavirus disease (COVID-19): a literature review. Journal of Pain Research. 2021;14:147.
  • Troiano G, Nardi A. Vaccine hesitancy in the era of COVID- 19. Public health. 2021;194:245-51.
  • Marzo RR, Ahmad A, Islam MS, Essar MY, Heidler P, King I, et al. Perceived COVID-19 vaccine effectiveness, acceptance, and drivers of vaccination decision-making among the general adult population: A global survey of 20 countries. PLoS neglected tropical diseases. 2022;16(1):e0010103.
  • Machingaidze S, Wiysonge CS. Understanding COVID-19 vaccine hesitancy. Nature Medicine. 2021;27(8):1338-9.
  • Soares P, Rocha JV, Moniz M, Gama A, Laires PA, Pedro AR, et al. Factors associated with COVID-19 vaccine hesitancy. Vaccines. 2021;9(3):300.
  • Ibrahim NK. Epidemiologic surveillance for controlling Covid- 19 pandemic: types, challenges and implications. Journal of infection and public health. 2020;13(11):1630-8.
  • Park M, Cook AR, Lim JT, Sun Y, Dickens BL. A systematic review of COVID-19 epidemiology based on current evidence. Journal of clinical medicine. 2020;9(4):967.
  • Sun J, He W-T, Wang L, Lai A, Ji X, Zhai X, et al. COVID- 19: epidemiology, evolution, and cross-disciplinary perspectives. Trends in molecular medicine. 2020;26(5):483-95.

The Effect of Sociodemographic Characteristics of Covid 19 Positive Individuals on Covid 19 Spread

Yıl 2023, Cilt: 3 Sayı: 2, 14 - 19, 21.08.2023
https://doi.org/10.58961/hmj.1279528

Öz

Objective: The aim of this study is to examine the causes of the individual spread of the Covid 19 infection, which has ravaged our country and our world for more than two years, to identify the factors affecting the spread and to draw attention to health literacy and to make correct recommendations for the fight against the current
Material and Methods: The descriptive study was carried out in Yıldırım and Nilüfer districts, which are the central districts of Bursa, between March 2021 and February 2022,by contacting individuals with a positive Covid test over the HSYS system,with the participation of people who agreed to fill out the questionnaire
Results: The study was conducted between March 2021 and February 2022, by reaching a total of 3842 people, 992 (25.8%) from Nilüfer district and 2850 (74.2%) from Yıldırım district. While 8 (0.8%) of the patients in Nilüfer district stated that they did not go into isolation, this rate was 260 (9.1%) in Yıldırım district.The contact mean of the participants was 2.42±2.52; It is 1.39±1.94 in Nilüfer district, 2.77±2.60 in Yıldırım district and the difference is statistically significant.
Conclusion: In this study, which we conducted on the basis of social life, household income, education level, number of households at the scale of our city,we examined the effects of the spread of the Covid 19 epidemic in our socioeconomically advanced district, and we observed that the level of education, high household income and low number of people living in the household reduced the spread of covid 19.

Kaynakça

  • WHO. Coronavirus disease (COVID-19) Pandemic–April 12 Update (cited 2022 November 11). Available from: https:// www.who.int/emergencies/diseases/novel-coronavirus-2019.
  • WHO. Coronavirus (COVID-19) Dashboard (cited 2022 November 11). Available from: https://covid19.who.int/.
  • T.C. Sağlık Bakanlığı. COVID-19 Bilgilendirme Platformu (cited 2022 November 11). Available from: https://covid19.saglik. gov.tr/.
  • Achaiah NC, Subbarajasetty SB, Shetty RM. R0 and re of COVID-19: can we predict when the pandemic outbreak will be contained? Indian journal of critical care medicine: peer-reviewed, official publication of Indian Society of Critical Care Medicine. 2020;24(11):1125.
  • Hofmann J. Novel Influenza. In Netter’s Infectious Diseases, Elaine C. Jong, Dennis L. Stevens, editors. Saunders; 2012. p.530-536
  • Ward M, Maftei D, Apostu C, Suru A. Estimation of the basic reproductive number (R0) for epidemic, highly pathogenic avian influenza subtype H5N1 spread. Epidemiology & Infection. 2009;137(2):219-26.
  • Buja A, Paganini M, Cocchio S, Scioni M, Rebba V, Baldo V. Demographic and socio-economic factors, and healthcare resource indicators associated with the rapid spread of COVID- 19 in Northern Italy: An ecological study. PLoS One. 2020;15(12):e0244535.
  • Skogberg N, Koponen P, Lilja E, Austero S, Achame S, Castaneda AE. Access to information, preventive measures and working conditions during the coronavirus epidemic. 2021.
  • Helsinki G. Situation Room Report: The Corona Virus and Health Differences–In Which Socioeconomic Groups Have the Most Infections Been Observed in Finland? Helsinki Graduate School of Economics. 2021.
  • Siljander M, Uusitalo R, Pellikka P, Isosomppi S, Vapalahti O. Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland. Spatial and spatio-temporal epidemiology. 2022;41:100493.
  • 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. The lancet. 2020;395(10223):497-506.
  • Mo P, Xing Y, Xiao Y, Deng L, Zhao Q, Wang H, et al. Clinical characteristics of refractory COVID-19 pneumonia in Wuhan, China. Clinical infectious diseases. 2020.
  • Weng L-M, Su X, Wang X-Q. Pain symptoms in patients with coronavirus disease (COVID-19): a literature review. Journal of Pain Research. 2021;14:147.
  • Troiano G, Nardi A. Vaccine hesitancy in the era of COVID- 19. Public health. 2021;194:245-51.
  • Marzo RR, Ahmad A, Islam MS, Essar MY, Heidler P, King I, et al. Perceived COVID-19 vaccine effectiveness, acceptance, and drivers of vaccination decision-making among the general adult population: A global survey of 20 countries. PLoS neglected tropical diseases. 2022;16(1):e0010103.
  • Machingaidze S, Wiysonge CS. Understanding COVID-19 vaccine hesitancy. Nature Medicine. 2021;27(8):1338-9.
  • Soares P, Rocha JV, Moniz M, Gama A, Laires PA, Pedro AR, et al. Factors associated with COVID-19 vaccine hesitancy. Vaccines. 2021;9(3):300.
  • Ibrahim NK. Epidemiologic surveillance for controlling Covid- 19 pandemic: types, challenges and implications. Journal of infection and public health. 2020;13(11):1630-8.
  • Park M, Cook AR, Lim JT, Sun Y, Dickens BL. A systematic review of COVID-19 epidemiology based on current evidence. Journal of clinical medicine. 2020;9(4):967.
  • Sun J, He W-T, Wang L, Lai A, Ji X, Zhai X, et al. COVID- 19: epidemiology, evolution, and cross-disciplinary perspectives. Trends in molecular medicine. 2020;26(5):483-95.
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klinik Tıp Bilimleri, Halk Sağlığı, Çevre Sağlığı
Bölüm Araştırma Makaleleri
Yazarlar

Ferhat Ekinci 0000-0002-5155-1991

Salih Metin 0000-0003-1582-7900

Ahmet Timur 0000-0002-6284-4677

Yayımlanma Tarihi 21 Ağustos 2023
Gönderilme Tarihi 8 Nisan 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 3 Sayı: 2

Kaynak Göster

Vancouver Ekinci F, Metin S, Timur A. The Effect of Sociodemographic Characteristics of Covid 19 Positive Individuals on Covid 19 Spread. HTD / HMJ. 2023;3(2):14-9.

e-ISSN: 2791-9935