Mosquito-borne infections are of global health concern because of their rapid spread and upsurge,which creates a risk for coinfections.chikungunya virus(CHIKV),an arbovirus disease transmitted by Aedes aegypti or A.al...Mosquito-borne infections are of global health concern because of their rapid spread and upsurge,which creates a risk for coinfections.chikungunya virus(CHIKV),an arbovirus disease transmitted by Aedes aegypti or A.albopictus,and malaria,a parasitic disease transmitted by Anopheles gambiae,are prevalent in Nigeria and neighbouring countries,but their burden and possible coinfections are poorly understood.In this study,we investigated the antibody seropositivity and endemicity of chikungunya and Zika viruses(ZIKV)in three regions of Nigeria.A cross-sectional serosurvey was conducted on 871 participants.Samples were collected from outpatients by simple random sampling.Analyses of the samples were performed using recomLine Tropical Fever for the presence of antibody serological marker IgG immunoblot with CHIKV VLP(virus like particle),ZIKV NS1 and ZIKV Equad according to manufacturers’instructions and malaria RDT for malaria parasite.There was a significantly higher antibody seropositivity against CHIKV in the central region than in the northern and southern regions(69.5%,291/419),while ZIKV-seropositivity(22.4%,34/152)and CHIKV-ZIKV co-circulating antibody seropositivity(17.8%,27/152)were notably higher in the southern region than in the central and northern regions.This investigation revealed an unexpectedly high antibody seropositivity and concealed endemicity of CHIKV and ZIKV in three Nigerian regions.The seropositivity of detectable antibodies differed among the three geographical locations.展开更多
Interactions among zoonotic pathogens play a critical role in shaping disease transmission,severity,and public health responses.However,the mechanisms and population-level consequences of these interactions remain und...Interactions among zoonotic pathogens play a critical role in shaping disease transmission,severity,and public health responses.However,the mechanisms and population-level consequences of these interactions remain underexplored in current modelling frameworks.This review aims to synthesize emerging evidence and address key scientific challenges in understanding how pathogen interactions influence transmission dynamics and mathematical modelling,with a focus on zoonotic and other cocirculating pathogens.In this review,we synthesize current evidence on synergistic,antagonistic,and neutral interactions between zoonotic and other cocirculating pathogens.We explore the underlying mechanisms of these interactions,such as transmission enhancement,immune modulation,and resource competition,at both the individual and population levels.We further review mathematical models to illustrate how these interaction features,such as transmission pathways,coinfection histories,cross-immunity,and superspreading potential,could be incorporated into epidemiological frameworks to increase our understanding of the community transmission of infections.Particular attention is given to the challenges of parameter estimation,incomplete surveillance data,and the difficulty of modelling interactions across scales and pathogen types.Understanding and modelling these interactions is essential for predicting outbreak trajectories,designing effective vaccination strategies,and improving early-warning systems.We conclude by calling for enhanced integration of empirical data and mechanistic modelling,especially in the context of emerging zoonoses and postpandemic preparedness.This review provides a structured perspective to support future interdisciplinary efforts aimed at managing cocirculating pathogens and mitigating their public health impact.展开更多
文摘Mosquito-borne infections are of global health concern because of their rapid spread and upsurge,which creates a risk for coinfections.chikungunya virus(CHIKV),an arbovirus disease transmitted by Aedes aegypti or A.albopictus,and malaria,a parasitic disease transmitted by Anopheles gambiae,are prevalent in Nigeria and neighbouring countries,but their burden and possible coinfections are poorly understood.In this study,we investigated the antibody seropositivity and endemicity of chikungunya and Zika viruses(ZIKV)in three regions of Nigeria.A cross-sectional serosurvey was conducted on 871 participants.Samples were collected from outpatients by simple random sampling.Analyses of the samples were performed using recomLine Tropical Fever for the presence of antibody serological marker IgG immunoblot with CHIKV VLP(virus like particle),ZIKV NS1 and ZIKV Equad according to manufacturers’instructions and malaria RDT for malaria parasite.There was a significantly higher antibody seropositivity against CHIKV in the central region than in the northern and southern regions(69.5%,291/419),while ZIKV-seropositivity(22.4%,34/152)and CHIKV-ZIKV co-circulating antibody seropositivity(17.8%,27/152)were notably higher in the southern region than in the central and northern regions.This investigation revealed an unexpectedly high antibody seropositivity and concealed endemicity of CHIKV and ZIKV in three Nigerian regions.The seropositivity of detectable antibodies differed among the three geographical locations.
基金National Natural Science Foundation of China(82304207)Science and Technology Projects of Xizang Autonomous Region,China(XZ202501JD0012)+4 种基金Beijing Natural Science Foundation(L232014)Research on Key Technologies of Plague Prevention and Control in Inner Mongolia Autonomous Region(2021ZD0006)Fundamental Research Funds for the Central Universities(2233300001)National Key Research and Development Program of China(2023YFC2307500)supported by the Beijing Research Center for Respiratory Infectious Diseases Project(BJRID2025-001).
文摘Interactions among zoonotic pathogens play a critical role in shaping disease transmission,severity,and public health responses.However,the mechanisms and population-level consequences of these interactions remain underexplored in current modelling frameworks.This review aims to synthesize emerging evidence and address key scientific challenges in understanding how pathogen interactions influence transmission dynamics and mathematical modelling,with a focus on zoonotic and other cocirculating pathogens.In this review,we synthesize current evidence on synergistic,antagonistic,and neutral interactions between zoonotic and other cocirculating pathogens.We explore the underlying mechanisms of these interactions,such as transmission enhancement,immune modulation,and resource competition,at both the individual and population levels.We further review mathematical models to illustrate how these interaction features,such as transmission pathways,coinfection histories,cross-immunity,and superspreading potential,could be incorporated into epidemiological frameworks to increase our understanding of the community transmission of infections.Particular attention is given to the challenges of parameter estimation,incomplete surveillance data,and the difficulty of modelling interactions across scales and pathogen types.Understanding and modelling these interactions is essential for predicting outbreak trajectories,designing effective vaccination strategies,and improving early-warning systems.We conclude by calling for enhanced integration of empirical data and mechanistic modelling,especially in the context of emerging zoonoses and postpandemic preparedness.This review provides a structured perspective to support future interdisciplinary efforts aimed at managing cocirculating pathogens and mitigating their public health impact.
