Establishment and Application of Hospital BIM Based on Point Cloud and Image Fusion for Infectious Disease (Novel Corona Virus Pneumonia)

CONVERTER ◽

10.17762/converter.264 ◽

2021 ◽

pp. 46-52

Author(s):

Guizhen He, Jun Yang, Qixiang Nie

Keyword(s):

Infectious Disease ◽

High Precision ◽

Point Cloud ◽

Texture Mapping ◽

Hospital Infection ◽

Infectious Disease Hospital ◽

The Real ◽

Processing Level ◽

Disease Hospital ◽

Whole Life Cycle

Since neither a single high-precision 3D coordinate laser point cloud nor a oblique image of high-precision spectral information can make the computer understand the data as human, in order to accurately and completely understand the object in the real world, in this paper, the fusion of the point cloud and the oblique image is studied for the understanding and application of the real object buildings by establishing a BIM model. Firstly, point cloud data and image data are acquired by different data acquisition methods. Laser point cloud and oblique image are fused by installation parameters so that geometric elements are consistent and benchmark is unified. Processing level is not limited to element level only, so as to ensure the integrity of information, and the fused mutual information remains consistent in scale, texture and direction. Secondly, under the condition of space-time synchronization, the relationship between point cloud and image in geometric space is established, and the alternating "energy transfer" is used for shape prediction and visual filling by matching under texture mapping constraints to enhance the semantic information of the 3D scene. Finally, a 3D building information model is established. Using the experimental results to track the whole life cycle (design, construction, operation) in real time saves the cost of building rework, reduces the building cycle, and improves the building accuracy. Especially based on BIM during Novel Coronavirus Pneumonia: analyze hospital space resource management and elastic function; construct medical unit model of infectious disease hospital; simulate and optimize medical process in infectious disease hospital; rapidly construct prefabricated infectious disease emergency hospital; simulate hospital infection path and dynamics; the auxiliary design and construction of infectious disease treatment in existing hospitals; The monitoring analysis and automatic control of hospital infection safety operation.

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Clinical Mortality Review of COVID-19 Patients at Sukraraj Tropical and Infectious Disease Hospital, Nepal; A Retrospective Study

Tropical Medicine and Infectious Disease ◽

10.3390/tropicalmed6030137 ◽

2021 ◽

Vol 6 (3) ◽

pp. 137

Author(s):

Anup Bastola ◽

Sanjay Shrestha ◽

Richa Nepal ◽

Kijan Maharjan ◽

Bikesh Shrestha ◽

...

Keyword(s):

Infectious Disease ◽

Hospital Stay ◽

Secondary Infection ◽

Treatment Strategies ◽

Chronic Obstructive ◽

Female Ratio ◽

Infectious Disease Hospital ◽

Neutrophil Lymphocyte Ratio ◽

Lymphocyte Ratio ◽

Disease Hospital

Coronavirus Disease 2019 (COVID-19) has challenged the health system worldwide, including the low and middle income countries like Nepal. In view of the rising number of infections and prediction of multiple waves of this disease, mortalities due to COVID-19 need to be critically analyzed so that every possible effort could be made to prevent COVID-19 related mortalities in future. Main aim of this research was to study about the mortalities due to COVID-19 at a tertiary level hospital, in Nepal. This was a retrospective, observational study that included all inpatients from Sukraraj Tropical and Infectious Disease Hospital, who were reverse transcriptase polymerase chain reaction positive for SARS-COV-2 and died during hospital stay from January 2020 till January 2021. Medical records of the patients were evaluated. Out of 860 total admissions in a year, there were 50 mortalities in the study center. Out of 50 mortalities, majority were males (76%) with male to female ratio of 3.17:1. Most were above 65 years of age (72%) and had two or more comorbidities (64%). The most common comorbidities among the patients who had died during hospital stay were hypertension (58%) followed by diabetes mellitus (50%) and chronic obstructive airway disease (24%). The median duration from the symptom onset to death was 18 days, ranged from the minimum of 2 days till maximum of 39 days. D-dimer was found to be >1 mg/L in 58% cases and ferritin was >500 ng/ml in 42% patients at presentation. A total of 42% patients had thrombocytopenia, 80% patients had lymphocytopenia and 60% had Neutrophil to Lymphocyte ratio >11.75 with the mean NLR of 18.38. Of total mortalities, 16% patients also showed microbiological evidence of secondary infection; Male gender, age more than 65 years, multiple comorbidities with lymphocytopenia, elevated Neutrophil lymphocyte ratio and elevated inflammatory markers were risk factors found in majority of mortalities in our study. These findings could be utilized for early triage and risk assessment in COVID-19 patients so that aggressive treatment strategies could be employed at the earliest to reduce mortalities due to COVID-19 in future.

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