Assessment of COVID-19 pandemic healthcare infrastructure of Mizoram, India

https://doi.org/10.53730/ijhs.v6nS6.10188

Authors

  • Brototi Biswas Associate Professor, Dept of Geography & RM, Mizoram University
  • Ketan Das JRF Scholar, Mizoram University
  • Pradip Chouhan Professor, Dept of Geography, University of Gour Banga

Keywords:

COVID-19, Aizawl, DCH, CCC, covid center infrastructure, covid care service zone

Abstract

The deadly COVID-19 outbreak emerged in the city of Wuhan, China at the end of 2019 and developed into a global pandemic during March 2020. According to Ministry of Health and Family Welfare, Govt. of India report of 2021, recovery rate of the state capital of Mizoram is very low while the positivity rate is high during the second wave compared to the national average. Therefore this present study aimed to analyze the spatial pattern of Covid Care Centers, infrastructural details and different Covid Care Service area with the help of GIS using Nearest Neighbour Analysis (NNA) and Weighted Linear Combined Model (WLCM) in Aizawl district of Mizoram. The result shows that Covid Care Centers are mainly clustered in city areas and infrastructure is not adequate. There is dearth of COVID care facilities in the district and the major chunk of facilities are located only in the capital city of Aizawl leaving the rest of the district in a weak zone facility wise. Only city and its surrounding areas have very high and high Covid Care Service. The overall scenario is indicating a poor condition towards the village areas. 

Downloads

Download data is not yet available.

References

Ã, W. L., & Qi, Y. (2009). Health & place An enhanced two-step floating catchment area ( E2SFCA ) method for measuring spatial accessibility to primary care physicians. Health & Place, 15(4), 1100–1107. https://doi.org/10.1016/j.healthplace.2009.06.002

Aday, A., & Andersen, R. (n.d.). A Framework for the Study of Access to Medical Care. 208–220.

Al-taiar, A., Clark, A., Longenecker, J. C., & Whitty, C. J. M. (2010). Physical accessibility and utilization of health services in Yemen. 1–8.

Ali, S. A. (2019). Mapping of mosquito-borne diseases in Kolkata Municipal Corporation using GIS and AHP based decision making approach. Spatial Information Research, 21. https://doi.org/10.1007/s41324-019-00242-8

Ali, S. A., & Ahmad, A. (2018). Using analytic hierarchy process with GIS for Dengue risk mapping in Kolkata Municipal Corporation , West Bengal , India. Spatial Information Research, August 2017. https://doi.org/10.1007/s41324-018-0187-x

Brostrom, G. J. E. (2001). Going the Distance : How Far Will Women Travel to Undergo. 166(April), 347–349.

Biswas, B., Rahaman, A. (2021). The impact of COVID-19 pandemic on education sector: a case study from Mizoram, India. Ensemble. https://doi.org/10.37948/ensemble-2021-sp1-a018

Directorate of Information and Public Relations (DIPR), Government of Mizoram.

Dejen, A., Soni, S., & Semaw, F. (2019). Spatial accessibility analysis of healthcare service centers in Gamo Gofa Zone, Ethiopia through Geospatial technique. Remote Sensing Applications: Society and Environment, 13(January), 466–473. https://doi.org/10.1016/j.rsase.2019.01.004

Ghazban, F. (2003). Environmental-Biological Geology.

Ghosh, P., & Lepcha, K. (2018). The Egyptian Journal of Remote Sensing and Space Sciences Weighted linear combination method versus grid based overlay operation method – A study for potential soil erosion susceptibility analysis of Malda district ( West Bengal ) in India. The Egyptian Journal of Remote Sensing and Space Sciences, xxxx. https://doi.org/10.1016/j.ejrs.2018.07.002

Gold, M. (n.d.). Part I : The Concept of Access and Managed Care Beyond Coverage and Supply : Measuring Access to Healthcare in Today' s Market. 625–652.

Gulliford, M., Figueroa-munoz, J., Morgan, M., Hughes, D., Gibson, B., Beech, R., & Hudson, M. (2002). What does ` access to health care' mean ? 7(3), 186–188.

Higgs, G. (2005). A Literature Review of the Use of GIS-Based Measures of Access to Health Care Services. 119–139.

Ingram, D. R., Clarke, D. R., & Murdie, R. A. (1978). Distance and the decision to visit an emergency department. Social Science and Medicine. Part C Medical Geography, 12(1), 55–62. https://doi.org/10.1016/0160-8002(78)90007-2

Jankowski, P. (2007). Integrating geographical information systems and multiple criteria decision-making methods. 3798. https://doi.org/10.1080/02693799508902036

Kiadaliri, A. A., Najafi, B., & Haghparast-bidgoli, H. (2011). Geographic distribution of need and access to health care in rural population : an ecological study in Iran. 1–7.

Luo, W., & Wang, F. (2003). Measures of spatial accessibility to health care in a GIS environment: Synthesis and a case study in the Chicago region. Environment and Planning B: Planning and Design, 30(6), 865–884. https://doi.org/10.1068/b29120

Mehryar, A. H., Aghajanian, A., Ahmad-nia, S., Mirzae, M., & Naghavi, M. (2005). Primary Health Care System , Narrowing of Rural – Urban Gap in Health Indicators , and Rural Poverty Reduction : The Experience of Iran Primary Health Care System , Narrowing of Rural – Urban Gap in Health Indicators , and Rural Poverty Reduction : The ex.

Mohammadi, A. (2016). Analysis of geographical accessibility to rural health houses using the geospatial information system , a case study : Khuzestan Province , South-West. January.

Mokgalaka, H. (2014). Validating the accuracy of GIS-based accessibility analysis in determining public primary health care demand in metropolitan areas: conference presentation.

Muller, I., Smith, T., Mellor, S., & Genton, B. (1998). The effect of distance from home on attendance at a small rural health centre in Papua New Guinea. i, 878–884.

Murad, A. (2016). Creating a Geographical Information Systems-based Spatial Profile for Exploring Health Services Supply and Demand Creating a Geographical Information Systems-based Spatial Profile for Exploring Health Services Supply and Demand. August. https://doi.org/10.3844/ajassp.2011.644.651

Nghiem, S. H., & Connelly, L. B. (2017). Convergence and determinants of health expenditures in OECD countries. https://doi.org/10.1186/s13561-017-0164-4

Noor, A. M., Zurovac, D., Hay, S. I., Ochola, S. A., & Snow, R. W. (2005). Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya. 8(10), 917–926.

Oliver, A., & Mossialos, E. (2004). action. 655–658. https://doi.org/10.1136/jech.2003.017731

Parker, E. B., & Campbell, J. L. (1998). Measuring access to primary medical care : some examples of the use of geographical information systems. 4(2).

Parvin, F., Ali, S. A., Hashmi, S. N. I., & Khatoon, A. (2021). Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India. Spatial Information Research, 29(1). https://doi.org/10.1007/s41324-020-00330-0

Patel, A. B., Waters, N. M., & Ghali, W. A. (2007). Determining geographic areas and populations with timely access to cardiac catheterization facilities for acute myocardial infarction. 12, 1–12. https://doi.org/10.1186/1476-072X-6-47

Saksena, P., & Holly, A. (n.d.). The Determinants of Health Expenditure : A Country-Level Panel Data Analysis.

Sarkar, A., & Chouhan, P. (2021). COVID-19: District level vulnerability assessment in India. Clinical epidemiology and global health, 9, 204-215.

Sasaki, S., Comber, A. J., Suzuki, H., & Brunsdon, C. (2010). Using genetic algorithms to optimise current and future health planning - the example of ambulance locations. 1–10.

Tanser, F. C. (2000). The application of geographical information systems to infectious diseases and health systems in Africa. November.

Tosepu, R., Gunawan, J., Effendy, D. S., Lestari, H., Bahar, H., & Asfian, P. (2020). Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of the total environment, 725, 138436.

Walsh, S., Page, P. H., & Gesler, W. M. (1991). Normative Models and Healthcare Planning : Network-Based Simulations Within a Geographic Information System Environment. 243–260.

WHO. (2017). Human rights and health. World Health Organization.

World Health Organization (WHO) Report on Covid-19 (2020).

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). The COVID-19 pandemic. International Journal of Health Sciences, 5(2), vi-ix. https://doi.org/10.53730/ijhs.v5n2.2937

Khidoyatova, M. R., Kayumov, U. K., Inoyatova, F. K., Fozilov, K. G., Khamidullaeva, G. A., & Eshpulatov, A. S. (2022). Clinical status of patients with coronary artery disease post COVID-19. International Journal of Health & Medical Sciences, 5(1), 137-144. https://doi.org/10.21744/ijhms.v5n1.1858

Published

03-07-2022

How to Cite

Biswas, B., Das, K., & Chouhan, P. (2022). Assessment of COVID-19 pandemic healthcare infrastructure of Mizoram, India. International Journal of Health Sciences, 6(S6), 3535–3554. https://doi.org/10.53730/ijhs.v6nS6.10188

Issue

Section

Peer Review Articles