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Related Concept Videos

Malaria01:29

Malaria

Malaria pathogenesis in humans reflects a delicate interplay between parasite biology and host response. Clinical illness reflects a host’s immune response to the parasite’s asexual replication cycle, which is often asymptomatic in individuals with partial immunity. From the parasite's perspective, transmission between mosquito and human with minimal host pathology is evolutionarily advantageous. Among the six Plasmodium species infecting humans, P. falciparum and P. vivax dominate in global...
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Yellow fever is a viral hemorrhagic disease caused by the yellow fever virus (YFV), a member of the Flaviviridae family. It is transmitted primarily by Aedes and Haemagogus mosquitoes in tropical and subtropical regions of Africa and South America. After transmission through a mosquito bite, the virus initially replicates in skin-resident immune cells such as dendritic cells and macrophages. These cells then migrate to the lymph nodes, where viral replication increases, eventually leading to...
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Arboviral Encephalitis

Arboviral encephalitis refers to brain inflammation caused by arthropod-borne viruses, particularly those transmitted through mosquito vectors. Among these, West Nile virus (WNV), a member of the Flaviviridae family, is a significant public health concern. WNV is an enveloped, positive-sense, single-stranded RNA virus. Human infection typically begins when an infected mosquito introduces the virus into the dermis during feeding. The primary transmission cycle involves birds as amplifying hosts...
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Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...

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Updated: Jun 26, 2026

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Climate Variability Drives Dengue Transmission in Bangladesh.

Ayesha Siddiqa1, Prosenjit Choudhury1, Nabil Jahan Mahim2

  • 1Department of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet 3100, Bangladesh.

Infectious Disease Reports
|June 25, 2026
PubMed
Summary

Dengue outbreaks in Bangladesh are influenced by climate, with temperature and rainfall playing key roles. Understanding these complex relationships can improve dengue fever prediction and control strategies.

Keywords:
Bangladeshclimate variabilitydenguegeneralized additive model (GAM)lagged effects

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Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination
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Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination

Published on: July 4, 2007

Area of Science:

  • Environmental Science
  • Epidemiology
  • Public Health

Background:

  • Dengue fever is a growing public health issue in Bangladesh, with increasing cases and wider outbreak areas.
  • This study focuses on the complex, non-linear, and lagged connections between climate factors and dengue incidence across Bangladesh.

Purpose of the Study:

  • To investigate the lagged and non-linear associations between climatic factors and dengue incidence in Bangladesh.
  • To identify key meteorological drivers influencing dengue transmission across all eight administrative divisions.

Main Methods:

  • Ecological time-series design using monthly dengue cases (n=741,338) and meteorological data.
  • Generalized Additive Model (GAM) with negative binomial distribution to analyze complex relationships and overdispersion.
  • Cross-correlation analysis to determine lagged associations and choropleth maps for spatial heterogeneity.

Main Results:

  • Significant lagged associations found for temperature (1-3 months), rainfall (1-3 months), and wind speed (2-3 months).
  • Non-linear analysis indicated peak dengue risk between 25-30°C and moderate rainfall (~10mm), especially during monsoon months.
  • The final GAM explained 88.6% of the deviance in dengue incidence, highlighting temperature, rainfall, and wind speed as significant predictors.

Conclusions:

  • Dengue transmission in Bangladesh is shaped by intricate, lagged, and non-linear interactions involving climate, seasonality, and regional elements.
  • Findings support the development of climate-based early warning systems for dengue outbreaks.
  • Results inform targeted vector control strategies and enhance outbreak prediction capabilities.