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Symbiosis00:58

Symbiosis

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Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
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Arboviral Encephalitis01:25

Arboviral Encephalitis

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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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Updated: May 7, 2026

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
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A realistic host-vector transmission model for describing malaria prevalence pattern.

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    Malaria transmission is modeled using human immunity and mosquito interactions. This adaptable mathematical model, validated with Indian data, aids in controlling malaria outbreaks.

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    Area of Science:

    • Epidemiology
    • Mathematical Biology
    • Public Health

    Background:

    • Malaria remains a significant global health issue despite control efforts.
    • Host immunity, environmental factors, and asymptomatic infections influence disease transmission dynamics.

    Purpose of the Study:

    • To develop a mathematical model of malaria transmission.
    • To analyze the impact of age-dependent human immunity and mosquito vector interactions.
    • To understand factors influencing malaria prevalence.

    Main Methods:

    • Developed a general mathematical model incorporating host immunity and vector interactions.
    • Studied the model analytically and numerically.
    • Validated the model using epidemiological data from Northeast India and local climate data.

    Main Results:

    • The model successfully explains malaria transmission patterns.
    • Seasonal variations in mosquito density were effectively modeled.
    • The model highlights the role of various parameters in disease prevalence.

    Conclusions:

    • A generalizable mathematical approach for malaria modeling was established.
    • The model can be adapted to predict and control future malaria outbreaks.
    • Incorporating local environmental factors enhances model accuracy.