Design and Development of a Plasmid Vector for Protein Expression and Purification

Production and isolation of proteins are difficult, costly and time-consuming processes. The aim of this project is for the development of plasmids, which allow for streamlined production and isolation of proteins. To allow for modular insertion of varying segments of DNA we are using ‘recursive directional ligation by plasmid reconstruction’. This technique uses type II restriction endonucleases, which cut downstream from their recognition site allowing multiple insertions without losing a restriction site. Using this process, we can ligate multiple DNA sequences together and express them to be able to construct a scar less fusion protein. In order to accomplish this, we have used techniques such as restriction digestion, ligation, dephosphorylation and transformation in order to ligate our vector, pET 25B+, and different DNA inserts together and inserted them into competent cells. To screen whether proper ligation has occurred we have used techniques such as colony PCR and running diagnostic restriction digestions on agarose gels. Sanger sequencing was used to confirm the successful insertion of individual sequences in our plasmid, which will allow for different modes of purification of any protein of choic

Landscape Analysis of Public Health Jobs in India to Develop an Evidence-Based Public Health Curriculum

The increase in communicable and non-communicable disease incidence and prevalence, changing population demographics, along with concerns about pandemics, natural disasters, and wars, have highlighted the challenges faced by health systems. The study aims to identify data on publicly posted public health jobs available to applicants eligible to work in India to identify the public health and allied fields workforce needs, skills, and expertise in India. A cross-sectional study was done in June–July 2021. The data was collected from eleven common job portals in India. Descriptive and content analysis was done to identify the most common job titles, educational level preferred/desired, skills, and experience required in the public health jobs in India. In total 382 unique public health and related fields jobs were analyzed. Job postings were most commonly classified as manager (n = 68), officer/lead (n = 61), analyst (n = 49), and consultant (n = 44). Around one-fifth of the jobs were based in Delhi (n = 98, 24%). About a quarter of the job postings required more than 8 years of experience (26%, n = 100). More than half of the job postings mentioned having the knowledge and understanding of data analysis and statistical approaches (n = 116, 64%). Around 15% (n = 193) of the job posting wanted the candidate to have expertise in communication. Skills were classified into various types such as software, technical, and language. Timely assessment of the curriculum should be done to impart skills related to the needs of the employers and prepare a skilled and competent public health workforce to address the 21st century public health challenges

The impact of COVID-19 vaccine communication, acceptance, and practices (CO-VIN-CAP) on vaccine hesitancy in an indian setting: Protocol for a cross-sectional study

Background: COVID-19 vaccines are considered to be a key to limiting and eliminating the infectious disease. However, the success of the vaccination program will rely on the rates of vaccine acceptance among the population. Objective: This study aims to examine the factors that influence vaccine hesitancy and vaccine acceptance, and to explore the unintended consequences of COVID-19 infections. The study will further explore the association between sociodemographic characteristics; health status; COVID-19-related knowledge, attitude, and practices; and its influence on vaccine hesitancy and acceptance among individuals living in urban and rural settings of Chennai, Tamil Nadu in the southern state of India. Methods: A cross-sectional study will be conducted between January 2021 and January 2023. A sample of approximately 25,000 individuals will be recruited and enrolled using a nonprobability complete enumeration sampling method from 11 selected urban and rural settings of Chennai. The data will be collected at one time point by administering the questionnaire to the eligible study participants. The collected data will be used to assess the rates of vaccine acceptance; hesitancy; and knowledge, attitudes, practices, and beliefs regarding COVID-19 and COVID-19 vaccines. Lastly, the study questionnaire will be used to assess the unintended consequences of COVID-19 infection. Results: A pilot of 2500 individuals has been conducted to pretest the survey questionnaire. The data collection was initiated on March 1, 2021, and the initial results are planned for publication by June 2021. Descriptive analysis of the gathered data will be performed using SAS v9.1, and reporting of the results will be done at 95% CIs and P=.049. The study will help explore the burden of vaccine acceptance and hesitancy among individuals living in urban and rural settings of Chennai. Further, it will help to examine the variables that influence vaccine acceptance and hesitancy. Lastly, the findings will help to design and develop a user-centered informatics platform that can deliver multimedia-driven health education modules tailored to facilitate vaccine uptake in varied settings. Conclusions: The proposed study will help in understanding the rate and determinants of COVID-19 vaccine acceptance and hesitancy among the population of Chennai. The findings of the study would further facilitate the development of a multifaceted intervention to enhance vaccine acceptance among the population