Clinical Epidemiology of Nipah Virus: Difference between revisions

Latest revision as of 00:55, 7 February 2026

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...

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...

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 ...

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...

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...

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...

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-== Subtopics ==
+=== [[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
-=== [[Geographic Distribution of Nipah Virus]] ===
+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...
-Describes the global occurrence of Nipah virus outbreaks, with emphasis on South and Southeast Asia. Highlights regional patterns, endemic zones, and emerging risk areas.
-=== [[Case Fatality Rates]] ===
+=== [[Projecting vaccine demand and impact for emerging zoonotic pathogens]] ===
-Summarizes mortality trends across outbreaks, comparing differences by country, healthcare response, and clinical presentation.
+'''2024''' - BMC Medicine
-=== [[Transmission Dynamics in Human Populations]] ===
+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...
-Explores how Nipah spreads among humans, including close-contact transmission, caregiving exposure, and community spread.
-=== [[Nosocomial Transmission]] ===
+=== [[Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application]] ===
-Focuses on hospital-based transmission events, infection risks among healthcare workers, and infection control lessons from past outbreaks.
+'''2024''' - Scientific Reports
-=== [[Demographic Risk Factors]] ===
+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 ...
-Examines age, occupation, comorbidities, and social determinants associated with infection and severe outcomes.
-=== [[Temporal Patterns of Outbreaks]] ===
+=== [[Global and regional mortality statistics of nipah virus from 1994 to 2023: a comprehensive systematic review and meta-analysis]] ===
-Analyzes seasonality, recurrence, and timing of outbreaks, including environmental and ecological correlations.
+'''2024''' - Pathogens and Global Health
-[[Category:Nipah Epidemiology]]
+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...
+=== [[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...
+===  [[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...
+=== [[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 ===
+'''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....
+=== [[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....
+=== [[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....
+=== [[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....