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Annals of Data Science
Published in:

22-01-2023

Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh

Authors: Md. Rezaul Karim, Sefat-E-Barket

Published in: Annals of Data Science | Issue 5/2024

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Abstract

This research aimed to investigate the spatial autocorrelation and heterogeneity throughout Bangladesh’s 64 districts. Moran I and Geary C are used to measure spatial autocorrelation. Different conventional models, such as Poisson-Gamma and Poisson-Lognormal, and spatial models, such as Conditional Autoregressive (CAR) Model, Convolution Model, and modified CAR Model, have been employed to detect the spatial heterogeneity. Bayesian hierarchical methods via Gibbs sampling are used to implement these models. The best model is selected using the Deviance Information Criterion. Results revealed Dhaka has the highest relative risk due to the city’s high population density and growth rate. This study identifies which district has the highest relative risk and which districts adjacent to that district also have a high risk, which allows for the appropriate actions to be taken by the government agencies and communities to mitigate the risk effect.
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Appendix
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Literature
1.
2.
Khandaker Mursheda F (2020) The covid-19 pandemic: Challenges and reality of quarantine, isolation and social distancing for the returnee migrants in bangladesh, Technical report, University Library of Munich, Germany
3.
Lai C-C, Shih T-P, Ko W-C, Tang H-J, Hsueh P-R (2020) Severe acute respiratory syndrome coronavirus 2 (sars-cov-2) and coronavirus disease-2019 (covid-19): The epidemic and the challenges. Int J Antimicrob Agents 55(3):105924
4.
Sun P, Lu X, Xu C, Sun W, Pan B (2020) Understanding of covid-19 based on current evidence. J Med Virol 92(6):548–551
5.
Sohrabi C, Alsafi Z, Oneill N, Khan M, Kerwan A, Al-Jabir A, Iosifidis C, Agha R (2020) World health organization declares global emergency: a review of the 2019 novel coronavirus (covid-19). Int J Surg 76:71–76
6.
Analytica O (2020) The who’s covid-19 pandemic declaration may be late, Expert Briefings
7.
8.
Karim MR, Akter BM, Haque S, Akter N et al (2021) Do temperature and humidity affect the transmission of sars-cov-2?-a flexible regression analysis. Annals of Data Science 9(1):153–173
9.
10.
11.
Li J, Guo K, Viedma EH, Lee H, Liu J, Zhong N, Gomes LFAM, Filip FG, Fang S-C, Ozdemir MS, et al (2020) Culture versus policy: more global collaboration to effectively combat covid-19. Innovat 1(2):100023
12.
Olson DL, Shi Y, Shi Y (2007) Introduction to business data mining, vol 10. McGraw-Hill/Irwin New York, New York
13.
Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Annal Data Sci 4(2):149–178
14.
Kumar S (2020) Monitoring novel corona virus (covid-19) infections in india by cluster analysis. Annal Data Sci 7(3):417–425
15.
Shi Y, Tian Y, Kou G, Peng Y, Li J (2011) Optimization based data mining: theory and applications. Springer, Berlin
16.
Liu Y, Gu Z, Xia S, Shi B, Zhou X-N, Shi Y, Liu J (2020) What are the underlying transmission patterns of COVID-19 outbreak? an age-specific social contact characterization. Eclinic Med 22:100354
17.
Shi Y (2022) Healthcare applications. Advances in big data analytics: theory, algorithms and practices. Springer, New York, pp 643–668
18.
Smans M, Muir CS, Boyle P (1992) Atlas of cancer mortality in the european economic community. Atlas of cancer mortality in the European Economic Community
19.
Ceylan Z (2020) Estimation of covid-19 prevalence in Italy, Spain, and France. Sci Total Environ 729:138817
20.
Sarkar SK, Ekram KMM, Das PC (2021) Spatial modeling of covid-19 transmission in bangladesh. Spat Inf Res 29(5):715–726
21.
Coly S, Garrido M, Abrial D, Yao A-F (2021) Bayesian hierarchical models for disease mapping applied to contagious pathologies. PLoS ONE 16(1):e0222898
22.
Guliyev H (2020) Determining the spatial effects of covid-19 using the spatial panel data model. Spat Stat 38:100443
23.
Desjardins MR, Hohl A, Delmelle EM (2020) Rapid surveillance of covid-19 in the united states using a prospective space-time scan statistic: Detecting and evaluating emerging clusters. Appl Geogr 118:102202
24.
Adekunle IA, Onanuga AT, Akinola OO, Ogunbanjo OW (2020) Modelling spatial variations of coronavirus disease (covid-19) in africa. Sci Total Environ 729:138998
25.
Sarwar S, Waheed R, Sarwar S, Khan A (2020) Covid-19 challenges to Pakistan: Is GIS analysis useful to draw solutions? Sci Total Environ 730:139089
26.
Agresti A (2003) Categorical data analysis. John Wiley and Sons, New Jersey
27.
CClayton D, Kaldor J (1987) Empirical bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43(3):671–81
28.
Besag J, York J, Mollié A (1991) Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 43(1):1–20
29.
Anselin L (1988) Spatial econometrics: methods and models, vol 4. Springer Science and Business Media, Berlin
30.
NAC C (1993) Cressie NAC statistics for spatial data, Probab Math Statist
31.
Molenberghs G, Verbeke G, Demétrio CG, Vieira AM (2010) A family of generalized linear models for repeated measures with normal and conjugate random effects. Stat Sci 25(3):325–347
32.
33.
Getis A (2008) A history of the concept of spatial autocorrelation: a geographer’s perspective. Geogr Anal 40(3):297–309
34.
Haining RP, Haining R (2003) Spatial data analysis: theory and practice. Cambridge University Press, Cambridge
35.
Diniz-Filho JAF, Bini LM, Hawkins BA (2003) Spatial autocorrelation and red herrings in geographical ecology. Glob Ecol Biogeogr 12(1):53–64
36.
Chou Y-H (1995) Spatial pattern and spatial autocorrelation. International conference on spatial information theory. Springer, Berlin, pp 365–376
37.
Rosenberg MS, Sokal RR, Oden NL, DiGiovanni D (1999) Spatial autocorrelation of cancer in western europe. Eur J Epidemiol 15(1):15–22
38.
Cliff A, Ord J (1973) Spatial autocorrelation. Pion limited, London
39.
Tsai P-J, Lin M-L, Chu C-M, Perng C-H (2009) Spatial autocorrelation analysis of health care hotspots in taiwan in 2006. BMC Public Health 9(1):1–13
40.
Rogerson PA (2001) Data reduction: factor analysis and cluster analysis. Stat Methods Geogr 2001:192–97
41.
Djukpen RO (2012) Mapping the hiv/aids epidemic in nigeria using exploratory spatial data analysis. GeoJournal 77(4):555–569
42.
Getis A, Ord J (1992) The analysis of spatial association by use of distance statistics. Geogr Anal 24(3):189–206
43.
Anselin L (1995) Local indicators of spatial association-lisa. Geogr Anal 27(2):93–115
44.
Tiefelsdorf M, Boots B (1997) A note on the extremities of local Moran’s iis and their impact on global Moran’s i. Geogr Anal 29(3):248–257
45.
Jacquez GM, Greiling DA (2003) Local clustering in breast, lung and colorectal cancer in long island. New York. Int J Health Geogr 2(1):1–12
46.
Jeffers J (1973) A basic subroutine for Geary’s contiguity ratio. J R Stat Soc Ser D (Stat) 22(4):299–302
47.
Kelejian HH, Robinson DP (1995) Spatial correlation: a suggested alternative to the autoregressive model. New directions in spatial econometrics. Springer, Berlin, pp 75–95
48.
Kelejian HH, Prucha IR (2010) Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances. J Econom 157(1):53–67
49.
Neyens T, Faes C, Molenberghs G (2012) A generalized poisson-gamma model for spatially overdispersed data. Spatial and spatio-temporal epidemiology 3(3):185–194
50.
Besag J, Kooperberg C (1995) On conditional and intrinsic autoregressions. Biometrika 82(4):733–746
51.
Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A (2002) Bayesian measures of model complexity and fit. J R Stat Soc Ser B (Stat Methodol) 64(4):583–639
52.
Lesaffre E, Lawson AB (2012) Bayesian biostatistics. John Wiley and Sons, New Jersey
53.
El-Basyouny K, Sayed T (2009) Collision prediction models using multivariate poisson-lognormal regression. Accid Anal Prevent 41(4):820–828
54.
55.
GGriffin JE, Steel MF (2007) Bayesian stochastic frontier analysis using winbugs. J Prod Anal 27(3):163–176
Metadata
Title
Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh
Authors
Md. Rezaul Karim
Sefat-E-Barket
Publication date
22-01-2023
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 5/2024
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00461-1

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