Indumathi Balasubramanian

Developed and implemented processes to ensure employee safety through facilitation, development, and
training of plant personnel.
Prepared SOPs and training materials.
Ensured compliance with federal, state, and local laws and requirements to prevent hazards, limit
injuries, and reduce overall manufacturing risk.
Implemented lockout tagout for manufacturing machinery.
Conducted daily safety inspections and took corrective actions.

Protected companies assets by executing safety initiatives, inventory recover, and internal/external theft
reduction programs.
Assisted with reduction of lost inventory, time, and assets through monitoring surveillance equipment.
Conducted and supervised safety training of new hires.
Prepared signages, posters, and presentations for the safety visual team.
Documented injuries and incidents, and developed safety initiatives to prevent them.
Spearheaded enforcing of speed limits to ensure yard safety.
Partnered with the compliance safety manager in the implementation and oversaw AP initiatives.
Ensured compliance with federal, state, and local regulations, and OSHA, EPA, and DOT regulations.

Coordinated safety projects with team members.
Initiated research projects involving climate change, mental health, environmental policies, and chronic
disease prevention.
Conducted ergonomic and safety trainings for interns.
Organized talk shows with celebrities like Ken Seeley, Forbes Riley, and Piper Cochrane.

Coronavirus Disease 2019 (COVID-19) caused by novel coronavirus has led to the current pandemic of Severe Acute Respiratory Syndrome- 2(SARS-CoV2). The World Health Organization (WHO), The Centers for Disease Control and Prevention (CDC), and many governments encourage research projects and journal publications and create the database that would aid future research and interventions. Clinical observations reveal that certain people and populations are prone to the infection and its complications and mortality. A literature review is conducted with the journals to understand some key factors causing severe disease and mortality with coronavirus. Some of the demographic, socio-economic, and health factors are chosen for analyzing their effect on the COVID-19 Infection Rate. A Multiple Regression Analysis is done with the Statistical Package for Social Sciences (SPSS) software, with the Correlation and Collinearity Analysis. The factors are detected to have a 74% prediction on the Infection Rate, with significant coefficient values and p-values.

Coronavirus Disease 2019 (COVID-19) caused by novel coronavirus has led to the current pandemic of Severe Acute Respiratory Syndrome- 2(SARS-CoV2). The World Health Organization (WHO), The Centers for Disease Control and Prevention (CDC) and many governments encourage research projects and journal publications and create the database that would aid future research and interventions. Clinical observations reveal that certain people and population are prone to the infection and its complications and mortality. A literature review is conducted with the journals to understand some key factors causing severe disease and mortality with coronavirus. Some of the demographic, socio-economic, and health factors are chosen for analyzing their effect on the COVID-19 Infection Rate. A Multiple Regression Analysis is done with the Statistical Package for Social Sciences (SPSS) software, with the Correlation and Collinearity Analysis. The factors are detected to have a 74% prediction on the Infection Rate, with significant coefficient values and p-values. Various tables like Model Summary, ANOVA, Standardized Coefficients, Correlation Coefficients, Collinearity Factors, and plots like Scatterplots, Normal P-P Plots, Histogram, and Partial Regression Plots are obtained through the analysis which explain the causal effects of the factors on the Coronavirus Infection Rate.

Carbon Monoxide (CO) poisoning causes many Emergency Department (ED) visits, hospitalizations, and deaths in United States. There are intentional and unintentional causes for CO poisoning. Unintentional Non-Fire Related (UNFR) CO poisoning prevention through CO detectors (alarms) in American households is analysed for its effectiveness in this literature review. Residences occupied 73% of the UNFR CO poisonings. A primary research study, and many secondary sources of information from the Centers of Disease Control and Prevention (CDC) and other government agencies and research journals were chosen for the literature review. The effectiveness of the CO detector in terms of cost, quality, and benefits in preventing the CO poisoning is achieved through calculating the benefit-cost ratio. The primary study involved actual cost data and has few limitations, and other studies validate the usefulness of the CO detectors in early detection of CO poisoning and saving of lives. The literature review dealt with data of CO poisoning and benefits and failure rates and gaps in awareness in the CO detector installations. Though many journals and information are sought, the entirety of the topic is beyond the scope of the study. The CO detector installation benefit-cost ratio of 7.2:1 provided by the primary study can be recalculated over years with more improvisations to look for similar benefits, which would help people become aware of the importance of the CO detectors in their homes. Keywords: Carbon monoxide (CO) poisoning, Carbon monoxide Detectors, Carbon monoxide alarms, Cost-benefit, Unintentional Non-Fire Related (UNFR) Carbon monoxide poisoning.