COVID-19 Hotspot Mapping and Prediction in Aizawl District of Mizoram: a Hotspot and SEIR Model-Based Analysis

[1]  S. Mukhi,et al.  Correction: Diagnosis of COVID‑19 from Multimodal Imaging Data Using Optimized Deep Learning Techniques , 2023, SN Computer Science.

[2]  S. Mukhi,et al.  Diagnosis of COVID-19 from Multimodal Imaging Data Using Optimized Deep Learning Techniques , 2023, SN Computer Science.

[3]  H. Malik,et al.  Mathematical Modelling to Predict the Effect of Vaccination on Delay and Rise of COVID-19 Cases Management , 2023, Mathematics.

[4]  M. H. A. Biswas,et al.  An SEQAIHR model to study COVID-19 transmission and optimal control strategies in Hong Kong, 2022 , 2023, Nonlinear Dynamics.

[5]  S. Boubaker,et al.  Predictability of COVID-19 Infections Based on Deep Learning and Historical Data , 2022, Applied Sciences.

[6]  P. Chouhan,et al.  Assessment of COVID-19 pandemic healthcare infrastructure of Mizoram, India , 2022, International journal of health sciences.

[7]  J. Tchuenche,et al.  A Mathematical Model of COVID-19 with Vaccination and Treatment , 2021, Computational and mathematical methods in medicine.

[8]  Tadesse Tolossa,et al.  Time to recovery from COVID-19 and its predictors among patients admitted to treatment center of Wollega University Referral Hospital (WURH), Western Ethiopia: Survival analysis of retrospective cohort study , 2021, PloS one.

[9]  Debashis Saikia,et al.  COVID-19 outbreak in India: an SEIR model-based analysis , 2021, Nonlinear dynamics.

[10]  B. Biswas,et al.  THE IMPACT OF COVID-19 PANDEMIC ON EDUCATION SECTOR: A CASE STUDY FROM MIZORAM, INDIA , 2021 .

[11]  B. Furht,et al.  Deep Learning applications for COVID-19 , 2021, J. Big Data.

[12]  Sk Ajim Ali,et al.  Spatial prediction and mapping of the COVID-19 hotspot in India using geostatistical technique , 2021, Spatial Information Research.

[13]  M. A. Ibrahim,et al.  Modeling, Control, and Prediction of the Spread of COVID-19 Using Compartmental, Logistic, and Gauss Models: A Case Study in Iraq and Egypt , 2020, Processes.

[14]  D. Patnaik,et al.  Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods , 2020, Chaos, Solitons & Fractals.

[15]  M. J. Pereira,et al.  Geostatistical COVID-19 infection risk maps for Portugal , 2020, International Journal of Health Geographics.

[16]  J. Nieto,et al.  Modeling and forecasting the COVID-19 pandemic in India , 2020, Chaos, Solitons & Fractals.

[17]  Ambily Nadaraj,et al.  Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models , 2020, Clinical Epidemiology and Global Health.

[18]  A. Mahajan,et al.  An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India , 2020, Chaos, Solitons & Fractals.

[19]  Shaobo He,et al.  SEIR modeling of the COVID-19 and its dynamics , 2020, Nonlinear Dynamics.

[20]  P. Chouhan,et al.  Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 Community Mobility Reports, 2020 , 2020, Children and Youth Services Review.

[21]  B. Napoletano,et al.  Spatial analysis and GIS in the study of COVID-19. A review , 2020, Science of The Total Environment.

[22]  Efthimios Kaxiras,et al.  The first 100 days: Modeling the evolution of the COVID-19 pandemic , 2020, Chaos, Solitons & Fractals.

[23]  A. Xu,et al.  Diagnostic value and dynamic variance of serum antibody in coronavirus disease 2019 , 2020, International Journal of Infectious Diseases.

[24]  Franco Blanchini,et al.  Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy , 2020, Nature Medicine.

[25]  Jia Chen,et al.  Alert for non‐respiratory symptoms of coronavirus disease 2019 patients in epidemic period: A case report of familial cluster with three asymptomatic COVID‐19 patients , 2020, Journal of medical virology.

[26]  F. Piazza,et al.  Analysis and forecast of COVID-19 spreading in China, Italy and France , 2020, Chaos, Solitons & Fractals.

[27]  Yongli Cai,et al.  A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action , 2020, International Journal of Infectious Diseases.

[28]  W. Ko,et al.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges , 2020, International Journal of Antimicrobial Agents.

[29]  C. Anastassopoulou,et al.  Data-based analysis, modelling and forecasting of the COVID-19 outbreak , 2020, medRxiv.

[30]  P. von Dadelszen,et al.  Is the closest health facility the one used in pregnancy care-seeking? A cross-sectional comparative analysis of self-reported and modelled geographical access to maternal care in Mozambique, India and Pakistan , 2020, International Journal of Health Geographics.

[31]  Fred Brauer,et al.  Mathematical epidemiology: Past, present, and future , 2017, Infectious Disease Modelling.

[32]  Gouri Sankar Bhunia,et al.  Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India , 2013, BMC Infectious Diseases.

[33]  A. Getis The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[34]  L. Anselin,et al.  Spatial Econometrics: Methods and Models , 1988 .

[35]  Stanley Lemeshow,et al.  Applied Logistic Regression, Second Edition , 1989 .