Added 11 papers - 2026-02-07T06:17:34.415106
fixed links and overall experience
Line 1: Line 1:
== Clinical Epidemiology of Nipah Virus ==
=== 1. Global dynamics of a compartmental model to assess the effect of transmission from deceased ===
2023 - Mathematical Biosciences
This paper presents a compartmental model for the spread of a disease with an imperfect vaccine, considering transmission from deceased infected. The global dynamics are analyzed through Lyapunov func...
Read full paper →
=== 2. Projecting vaccine demand and impact for emerging zoonotic pathogens ===
2024 - BMC Medicine
The paper develops a modeling framework to assess sustainable vaccine manufacturing needs and potential impact of outbreak response for four priority pathogens: Lassa virus, Nipah virus, MERS coronavi...
Read full paper →
=== 3. Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application ===
2024 - Scientific Reports
This paper formulates a mathematical model to analyze the dynamics and optimal control of Nipah virus (NiV). The model considers human-to-human and food-borne transmission, as well as contact with an ...
Read full paper →
=== 4. Global and regional mortality statistics of nipah virus from 1994 to 2023: a comprehensive systematic review and meta-analysis ===
2024 - Pathogens and Global Health
This paper reports a significant increase in the global mortality rate of Nipah virus from 54.1% (2004–2013) to 80.1% (2014–2023). India has the highest mortality rate at 82.7% (1994–2023), and enceph...
Read full paper →
=== 5. Observational study on the clinical epidemiology of infectious acute encephalitis syndrome including Nipah virus disease, Bangladesh: BASE cohort study protocol ===
2025 - BMJ Open
This paper describes a prospective cohort study in Bangladesh aimed at characterizing the patient population, clinical features, treatment practices, common aetiologies and outcomes in patients presen...
Read full paper →
=== 6. A Comparative Analysis of Statistical Methods to Estimate the Reproduction Number in Emerging Epidemics, With Implications for the Current Coronavirus Disease 2019 (COVID-19) Pandemic ===
2024 - Clinical Infectious Diseases
This paper compares seven statistical methods to estimate the reproduction number (R0) in emerging epidemics, focusing on the COVID-19 pandemic, and finds that most methods overestimate R0 in the earl...
Read full paper →
=== 7. Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India ===
2025 - Front. Public Health
This paper is a retrospective cohort study identifying predictors of mortality among critically ill SARS-CoV-2 infected patients in Kerala, India....
Read full paper →
=== 8. Mapping the distribution of Nipah virus infections: a geospatial modelling analysis ===
2024 - Lancet Planet Health
This study maps the distribution of Nipah virus infections using geospatial modeling analysis....
Read full paper →
=== 9. Exact calculation of end-of-outbreak probabilities using contact tracing data ===
2023 - Journal of the Royal Society Interface
This paper presents a method for calculating the exact end-of-outbreak probability using contact tracing data, which can inform public health policymakers about when an infectious disease outbreak has...
Read full paper →
=== 10. Exact calculation of end-of-outbreak probabilities using contact tracing data ===
2023 - Journal of the Royal Society Interface
This paper presents a new method for calculating the probability that an infectious disease outbreak has ended using contact tracing data....
Read full paper →
=== 11. A systematic review on Nipah virus: global molecular epidemiology and medical countermeasures development ===
2024 - Virus Evolution
This paper conducts a systematic review on the global epidemiology and research advancements of Nipah virus, aiming to identify key knowledge gaps in the literature....
Read full paper →
== Clinical Epidemiology of Nipah Virus ==
== Clinical Epidemiology of Nipah Virus ==


=== 1. Global dynamics of a compartmental model to assess the effect of transmission from deceased ===
=== [[Global dynamics of a compartmental model to assess the effect of transmission from deceased|Global dynamics of a compartmental model to assess the effect of transmission from decease]]d ===
'''2023''' - Mathematical Biosciences
'''2023''' - Mathematical Biosciences


This paper presents a compartmental model for the spread of a disease with an imperfect vaccine, considering transmission from deceased infected. The global dynamics are analyzed through Lyapunov func...
This paper presents a compartmental model for the spread of a disease with an imperfect vaccine, considering transmission from deceased infected. The global dynamics are analyzed through Lyapunov func...


[[Global dynamics of a compartmental model to assess the effect of transmission from deceased|Read full paper →]]
=== [[Projecting vaccine demand and impact for emerging zoonotic pathogens]] ===
 
=== 2. Projecting vaccine demand and impact for emerging zoonotic pathogens ===
'''2024''' - BMC Medicine
'''2024''' - BMC Medicine


The paper develops a modeling framework to assess sustainable vaccine manufacturing needs and potential impact of outbreak response for four priority pathogens: Lassa virus, Nipah virus, MERS coronavi...
The paper develops a modeling framework to assess sustainable vaccine manufacturing needs and potential impact of outbreak response for four priority pathogens: Lassa virus, Nipah virus, MERS coronavi...


[[Projecting vaccine demand and impact for emerging zoonotic pathogens|Read full paper →]]
=== [[Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application]] ===
 
=== 3. Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application ===
'''2024''' - Scientific Reports
'''2024''' - Scientific Reports


This paper formulates a mathematical model to analyze the dynamics and optimal control of Nipah virus (NiV). The model considers human-to-human and food-borne transmission, as well as contact with an ...
This paper formulates a mathematical model to analyze the dynamics and optimal control of Nipah virus (NiV). The model considers human-to-human and food-borne transmission, as well as contact with an ...


[[Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application|Read full paper →]]


=== 4. Global and regional mortality statistics of nipah virus from 1994 to 2023: a comprehensive systematic review and meta-analysis ===
=== [[Global and regional mortality statistics of nipah virus from 1994 to 2023: a comprehensive systematic review and meta-analysis]] ===
'''2024''' - Pathogens and Global Health
'''2024''' - Pathogens and Global Health


This paper reports a significant increase in the global mortality rate of Nipah virus from 54.1% (2004–2013) to 80.1% (2014–2023). India has the highest mortality rate at 82.7% (1994–2023), and enceph...
This paper reports a significant increase in the global mortality rate of Nipah virus from 54.1% (2004–2013) to 80.1% (2014–2023). India has the highest mortality rate at 82.7% (1994–2023), and enceph...


[[Global and regional mortality statistics of nipah virus from 1994 to 2023: a comprehensive systematic review and meta-analysis|Read full paper →]]
=== [[Observational study on the clinical epidemiology of infectious acute encephalitis syndrome including Nipah virus disease, Bangladesh: BASE cohort study protocol]] ===
 
=== 5. Observational study on the clinical epidemiology of infectious acute encephalitis syndrome including Nipah virus disease, Bangladesh: BASE cohort study protocol ===
'''2025''' - BMJ Open
'''2025''' - BMJ Open


This paper describes a prospective cohort study in Bangladesh aimed at characterizing the patient population, clinical features, treatment practices, common aetiologies and outcomes in patients presen...
This paper describes a prospective cohort study in Bangladesh aimed at characterizing the patient population, clinical features, treatment practices, common aetiologies and outcomes in patients presen...


[[Observational study on the clinical epidemiology of infectious acute encephalitis syndrome including Nipah virus disease, Bangladesh: BASE cohort study protocol|Read full paper →]]


=== 6. A Comparative Analysis of Statistical Methods to Estimate the Reproduction Number in Emerging Epidemics, With Implications for the Current Coronavirus Disease 2019 (COVID-19) Pandemic ===
=== [[A Comparative Analysis of Statistical Methods to Estimate the Reproduction Number in Emerging Epidemics, With Implications for the Current Coronavirus Disease 2019 (COVID-19) Pandemic]] ===
'''2024''' - Clinical Infectious Diseases
'''2024''' - Clinical Infectious Diseases


This paper compares seven statistical methods to estimate the reproduction number (R0) in emerging epidemics, focusing on the COVID-19 pandemic, and finds that most methods overestimate R0 in the earl...
This paper compares seven statistical methods to estimate the reproduction number (R0) in emerging epidemics, focusing on the COVID-19 pandemic, and finds that most methods overestimate R0 in the earl...


[[A Comparative Analysis of Statistical Methods to Estimate the Reproduction Number in Emerging Epidemics, With Implications for the Current Coronavirus Disease 2019 (COVID-19) Pandemic|Read full paper →]]
=== [[Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India|Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, Indi]]a ===
 
=== 7. Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India ===
'''2025''' - Front. Public Health
'''2025''' - Front. Public Health


This paper is a retrospective cohort study identifying predictors of mortality among critically ill SARS-CoV-2 infected patients in Kerala, India....
This paper is a retrospective cohort study identifying predictors of mortality among critically ill SARS-CoV-2 infected patients in Kerala, India....


[[Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India|Read full paper →]]


=== 8. Mapping the distribution of Nipah virus infections: a geospatial modelling analysis ===
=== [[Mapping the distribution of Nipah virus infections: a geospatial modelling analysis]] ===
'''2024''' - Lancet Planet Health
'''2024''' - Lancet Planet Health


This study maps the distribution of Nipah virus infections using geospatial modeling analysis....
This study maps the distribution of Nipah virus infections using geospatial modeling analysis....


[[Mapping the distribution of Nipah virus infections: a geospatial modelling analysis|Read full paper →]]
=== [[Exact calculation of end-of-outbreak probabilities using contact tracing data]] ===
 
=== 9. Exact calculation of end-of-outbreak probabilities using contact tracing data ===
'''2023''' - Journal of the Royal Society Interface
 
This paper presents a method for calculating the exact end-of-outbreak probability using contact tracing data, which can inform public health policymakers about when an infectious disease outbreak has...
 
[[Exact calculation of end-of-outbreak probabilities using contact tracing data|Read full paper →]]
 
=== 10. Exact calculation of end-of-outbreak probabilities using contact tracing data ===
'''2023''' - Journal of the Royal Society Interface
'''2023''' - Journal of the Royal Society Interface


This paper presents a new method for calculating the probability that an infectious disease outbreak has ended using contact tracing data....
This paper presents a new method for calculating the probability that an infectious disease outbreak has ended using contact tracing data....


[[Exact calculation of end-of-outbreak probabilities using contact tracing data|Read full paper →]]
=== [[A systematic review on Nipah virus: global molecular epidemiology and medical countermeasures development]] ===
 
=== 11. A systematic review on Nipah virus: global molecular epidemiology and medical countermeasures development ===
'''2024''' - Virus Evolution
'''2024''' - Virus Evolution


This paper conducts a systematic review on the global epidemiology and research advancements of Nipah virus, aiming to identify key knowledge gaps in the literature....
This paper conducts a systematic review on the global epidemiology and research advancements of Nipah virus, aiming to identify key knowledge gaps in the literature....
[[A systematic review on Nipah virus: global molecular epidemiology and medical countermeasures development|Read full paper →]]

Revision as of 00:54, 7 February 2026

Clinical Epidemiology of Nipah Virus

2023 - Mathematical Biosciences

This paper presents a compartmental model for the spread of a disease with an imperfect vaccine, considering transmission from deceased infected. The global dynamics are analyzed through Lyapunov func...

2024 - BMC Medicine

The paper develops a modeling framework to assess sustainable vaccine manufacturing needs and potential impact of outbreak response for four priority pathogens: Lassa virus, Nipah virus, MERS coronavi...

2024 - Scientific Reports

This paper formulates a mathematical model to analyze the dynamics and optimal control of Nipah virus (NiV). The model considers human-to-human and food-borne transmission, as well as contact with an ...


2024 - Pathogens and Global Health

This paper reports a significant increase in the global mortality rate of Nipah virus from 54.1% (2004–2013) to 80.1% (2014–2023). India has the highest mortality rate at 82.7% (1994–2023), and enceph...

2025 - BMJ Open

This paper describes a prospective cohort study in Bangladesh aimed at characterizing the patient population, clinical features, treatment practices, common aetiologies and outcomes in patients presen...


2024 - Clinical Infectious Diseases

This paper compares seven statistical methods to estimate the reproduction number (R0) in emerging epidemics, focusing on the COVID-19 pandemic, and finds that most methods overestimate R0 in the earl...

2025 - Front. Public Health

This paper is a retrospective cohort study identifying predictors of mortality among critically ill SARS-CoV-2 infected patients in Kerala, India....


2024 - Lancet Planet Health

This study maps the distribution of Nipah virus infections using geospatial modeling analysis....

2023 - Journal of the Royal Society Interface

This paper presents a new method for calculating the probability that an infectious disease outbreak has ended using contact tracing data....

2024 - Virus Evolution

This paper conducts a systematic review on the global epidemiology and research advancements of Nipah virus, aiming to identify key knowledge gaps in the literature....