Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100114
Suying Guo , Lijuan Zhang , Yifeng Li , Shiqing Zhang , Xiaojuan Xu , Yinlong Li , Chunli Cao , Jing Xu , Shizhu Li
Surveillance is an effective approach for disease control and prevention. Being a vector-borne and zoonotic parasitic disease, schistosomiasis has been under comprehensive surveillance in China for several decades, with focus on indicators related to definitive hosts, intermediate hosts, as well as changes of influencing factors. This article reviewed the surveillance system of schistosomiasis in China from the perspective of One Health to provide evidence for the acceleration of elimination. When moving towards elimination with rare new infection occurred in humans, livestock and snails, One Health surveillance system could be the most effective approach to accelerate the process of elimination or consolidate the achievement of schistosomiasis by integrating the risk surveillance and novel diagnostic tools in the intelligent multi-point trigger infectious disease monitoring and early warning system.
{"title":"One Health integrated surveillance: a way forward to accelerate schistosomiasis elimination in China","authors":"Suying Guo , Lijuan Zhang , Yifeng Li , Shiqing Zhang , Xiaojuan Xu , Yinlong Li , Chunli Cao , Jing Xu , Shizhu Li","doi":"10.1016/j.soh.2025.100114","DOIUrl":"10.1016/j.soh.2025.100114","url":null,"abstract":"<div><div>Surveillance is an effective approach for disease control and prevention. Being a vector-borne and zoonotic parasitic disease, schistosomiasis has been under comprehensive surveillance in China for several decades, with focus on indicators related to definitive hosts, intermediate hosts, as well as changes of influencing factors. This article reviewed the surveillance system of schistosomiasis in China from the perspective of One Health to provide evidence for the acceleration of elimination. When moving towards elimination with rare new infection occurred in humans, livestock and snails, One Health surveillance system could be the most effective approach to accelerate the process of elimination or consolidate the achievement of schistosomiasis by integrating the risk surveillance and novel diagnostic tools in the intelligent multi-point trigger infectious disease monitoring and early warning system.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100123
Shunxian Zhang , Guobing Yang , Shan Lv , Lei Duan , Muxin Chen , Qin Liu , Liguang Tian , Shizhu Li , Jinxin Zheng
Background
Leishmaniasis is a globally prevalent parasitic disease caused by protozoa of the genus Leishmania. This study utilizes Global Burden of Disease Study 2021 (GBD 2021) data to systematically evaluate the global, regional, and national epidemiological trends, thereby providing a scientific basis for optimizing the prevention and control strategies for leishmania infections.
Methods
Data from the GBD 2021 database were analyzed to evaluate trends in age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-years rate (ASDR) for leishmaniasis across global, regional, and national levels, stratified by age, sex, and sociodemographic index (SDI). A Bayesian age-period-cohort (BAPC) model was employed to project future burden. Analyses included the slope index of inequality and the concentration index to assess health disparities, frontier analysis to estimate achievable outcomes based on development levels, and decomposition analysis to identify the drivers of changes in DALYs number.
Results
From 1990 to 2021, the ASIR of leishmaniasis decreased from 17.82 to 14.34 per 100,000 population, while the ASPR increased from 62.94 to 76.96 per 100,000 population. Most strikingly, the ASMR showed a dramatic reduction from 1.05 to 0.07 per 100,000 population. However, concerning increases were observed in absolute case numbers, with incident cases rising from 1.01 to 1.10 million and prevalent cases nearly doubling from 3.18 to 6.21 million. Notably, Syria exhibited the most severe deterioration in ASDR (average annual percentage change [AAPC] = 4.78 %, 95 % confidence interval [CI]: 4.67–4.89). Frontier analysis identified several high-burden countries including South Sudan, the Syrian Arab Republic, Afghanistan, Suriname, and Sudan as persistent hotspots requiring targeted interventions. A robust inverse correlation was observed between all disease metrics (ASIR, ASPR, ASMR, ASDR, and case counts) and the SDI, with all associations demonstrating high statistical significance (P < 0.001).
Conclusions
Leishmaniasis continues to pose significant public health challenges in Southeast Asia, North Africa, and Middle East. Strengthening public health interventions, optimizing resource distribution, and focusing on health governance in low- and middle-income countries are key to addressing the ongoing burden. One Health-based integrated strategies, particularly in vector control, host management, and environmental sanitation, are essential for reducing the disease burden and achieving long-term control.
{"title":"Global, regional, and national temporal trend and patterns of change in the burden of leishmaniasis from 1990 to 2021: an analysis of the Global Burden of Disease Study 2021","authors":"Shunxian Zhang , Guobing Yang , Shan Lv , Lei Duan , Muxin Chen , Qin Liu , Liguang Tian , Shizhu Li , Jinxin Zheng","doi":"10.1016/j.soh.2025.100123","DOIUrl":"10.1016/j.soh.2025.100123","url":null,"abstract":"<div><h3>Background</h3><div>Leishmaniasis is a globally prevalent parasitic disease caused by protozoa of the genus <em>Leishmania</em>. This study utilizes Global Burden of Disease Study 2021 (GBD 2021) data to systematically evaluate the global, regional, and national epidemiological trends, thereby providing a scientific basis for optimizing the prevention and control strategies for <em>leishmania</em> infections.</div></div><div><h3>Methods</h3><div>Data from the GBD 2021 database were analyzed to evaluate trends in age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-years rate (ASDR) for leishmaniasis across global, regional, and national levels, stratified by age, sex, and sociodemographic index (SDI). A Bayesian age-period-cohort (BAPC) model was employed to project future burden. Analyses included the slope index of inequality and the concentration index to assess health disparities, frontier analysis to estimate achievable outcomes based on development levels, and decomposition analysis to identify the drivers of changes in DALYs number.</div></div><div><h3>Results</h3><div>From 1990 to 2021, the ASIR of leishmaniasis decreased from 17.82 to 14.34 per 100,000 population, while the ASPR increased from 62.94 to 76.96 per 100,000 population. Most strikingly, the ASMR showed a dramatic reduction from 1.05 to 0.07 per 100,000 population. However, concerning increases were observed in absolute case numbers, with incident cases rising from 1.01 to 1.10 million and prevalent cases nearly doubling from 3.18 to 6.21 million. Notably, Syria exhibited the most severe deterioration in ASDR (average annual percentage change [AAPC] = 4.78 %, 95 % confidence interval [<em>CI</em>]: 4.67–4.89). Frontier analysis identified several high-burden countries including South Sudan, the Syrian Arab Republic, Afghanistan, Suriname, and Sudan as persistent hotspots requiring targeted interventions. A robust inverse correlation was observed between all disease metrics (ASIR, ASPR, ASMR, ASDR, and case counts) and the SDI, with all associations demonstrating high statistical significance (<em>P</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>Leishmaniasis continues to pose significant public health challenges in Southeast Asia, North Africa, and Middle East. Strengthening public health interventions, optimizing resource distribution, and focusing on health governance in low- and middle-income countries are key to addressing the ongoing burden. One Health-based integrated strategies, particularly in vector control, host management, and environmental sanitation, are essential for reducing the disease burden and achieving long-term control.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100107
Yingxuan Yin , Anyuan Xu , Xiaowen Pan , Qing He , Aoxun Wu , Linya Huang , Yinjuan Wu , Xuerong Li
Background
The invasive freshwater snail Physella acuta poses significant threats to the ecological environment, public health safety, and the agricultural and forestry economy. Gaining insight into their geographical spread in China under current and future climate scenarios is crucial for effective monitoring and control strategies against this invasive species.
Methods
Global distribution data of P. acuta were collected and screened using “ENMtool”; environmental variables were screened based on contribution of environmental variables, jackknife test and variable correlation analysis using MaxEnt 3.4.1 and GraphPad Prism 8; “kuenm” package in R 4.0.4 software was used to calculate and adjust model parameters; the optimized MaxEnt model was used to predict the potential distribution range of P. acuta in China under different climate scenarios; ArcGIS 10.7 was used to process and visualize the results.
Results
A total of 2012 P. acuta distribution points were screened, and the warmest quarter, mean temperature of the coldest season, precipitation in March and November were used to construct the MaxEnt model with an area under the curve (AUC) value of 0.918. According to the prediction, P. acuta is currently widely spread across the Guangxi Zhuang Autonomous Region, Guizhou Province, Yunnan Province, Chongqing Municipality, and areas proximate to the Yangtze River Basin in the middle-lower Yangtze Plain, which encompass 10.22 % of China's terrestrial area. Under future climate projections, the suitable habitats for P. acuta in southern regions are expected to contract, whereas those in northern regions are anticipated to remain relatively stable. As a result, the overall distribution center is likely to shift marginally northward.
Conclusion
With the future climate change, the total suitable habitats of P. acuta in China showed a shrinking trend, and the shrinkage was more significant in the southern low-latitude suitable habitats. To mitigate its impact on China's ecosystem and the loss caused by P. acuta invasion, relevant departments should increase monitoring and prompt control, and implement efficient preventive and eradication measures.
{"title":"Modeling the distribution of the invasive snail Physella acuta in China: Implications for ecological and economic impact","authors":"Yingxuan Yin , Anyuan Xu , Xiaowen Pan , Qing He , Aoxun Wu , Linya Huang , Yinjuan Wu , Xuerong Li","doi":"10.1016/j.soh.2025.100107","DOIUrl":"10.1016/j.soh.2025.100107","url":null,"abstract":"<div><h3>Background</h3><div>The invasive freshwater snail <em>Physella acuta</em> poses significant threats to the ecological environment, public health safety, and the agricultural and forestry economy. Gaining insight into their geographical spread in China under current and future climate scenarios is crucial for effective monitoring and control strategies against this invasive species.</div></div><div><h3>Methods</h3><div>Global distribution data of <em>P. acuta</em> were collected and screened using “ENMtool”; environmental variables were screened based on contribution of environmental variables, jackknife test and variable correlation analysis using <em>MaxEnt 3.4.1</em> and <em>GraphPad Prism 8</em>; “kuenm” package in <em>R 4.0.4</em> software was used to calculate and adjust model parameters; the optimized MaxEnt model was used to predict the potential distribution range of <em>P. acuta</em> in China under different climate scenarios; <em>ArcGIS 10.7</em> was used to process and visualize the results.</div></div><div><h3>Results</h3><div>A total of 2012 <em>P. acuta</em> distribution points were screened, and the warmest quarter, mean temperature of the coldest season, precipitation in March and November were used to construct the MaxEnt model with an area under the curve (AUC) value of 0.918. According to the prediction, <em>P. acuta</em> is currently widely spread across the Guangxi Zhuang Autonomous Region, Guizhou Province, Yunnan Province, Chongqing Municipality, and areas proximate to the Yangtze River Basin in the middle-lower Yangtze Plain, which encompass 10.22 % of China's terrestrial area. Under future climate projections, the suitable habitats for <em>P. acuta</em> in southern regions are expected to contract, whereas those in northern regions are anticipated to remain relatively stable. As a result, the overall distribution center is likely to shift marginally northward.</div></div><div><h3>Conclusion</h3><div>With the future climate change, the total suitable habitats of <em>P. acuta</em> in China showed a shrinking trend, and the shrinkage was more significant in the southern low-latitude suitable habitats. To mitigate its impact on China's ecosystem and the loss caused by <em>P. acuta</em> invasion, relevant departments should increase monitoring and prompt control, and implement efficient preventive and eradication measures.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100111
Lara G. Moussa , Omer Faruk Sonmez , Raman Bedi
The One Health (OH) approach emphasises the relationship between human, animal, and environmental health, underscoring the necessity of cross-sectoral collaboration to address global health challenges. This paper explores the integration of oral health within the OH framework, mainly focusing on its relationship to antimicrobial resistance, zoonotic and vector-borne diseases, and climate change. Furthermore, this paper highlights how dental practices impact environmental sustainability and discusses the role of sustainable dentistry in reducing plastic waste, managing mercury disposal, and minimising pesticide exposure. Lastly, the paper offers actionable recommendations to support oral health professionals in adopting environmentally friendly practices, ultimately promoting a comprehensive OH approach to improve population health and resilience against future health threats.
{"title":"Incorporating oral health into the One Health agenda: contributions and implications","authors":"Lara G. Moussa , Omer Faruk Sonmez , Raman Bedi","doi":"10.1016/j.soh.2025.100111","DOIUrl":"10.1016/j.soh.2025.100111","url":null,"abstract":"<div><div>The One Health (OH) approach emphasises the relationship between human, animal, and environmental health, underscoring the necessity of cross-sectoral collaboration to address global health challenges. This paper explores the integration of oral health within the OH framework, mainly focusing on its relationship to antimicrobial resistance, zoonotic and vector-borne diseases, and climate change. Furthermore, this paper highlights how dental practices impact environmental sustainability and discusses the role of sustainable dentistry in reducing plastic waste, managing mercury disposal, and minimising pesticide exposure. Lastly, the paper offers actionable recommendations to support oral health professionals in adopting environmentally friendly practices, ultimately promoting a comprehensive OH approach to improve population health and resilience against future health threats.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100118
Leshan Xiu , Shuangqing Hu
Air pollution and antimicrobial resistance (AMR) are two critical challenges that threaten global health and sustainability. Emerging research suggests a significant connection between these phenomena, with air pollution potentially acting as a driver for the development, dissemination, and persistence of antimicrobial resistance genes (ARGs). Drawing on evidence from recent studies, we highlight the mechanisms through which air pollution contributes to AMR, including the role of particulate matter, atmospheric transport, and co-selection pressure. We advocate for a comprehensive One Health approach to address the intertwined threats of air pollution and AMR, emphasizing the need for integrated policies, surveillance, and interdisciplinary research.
{"title":"Air pollution might contribute to antimicrobial resistance: a One Health perspective","authors":"Leshan Xiu , Shuangqing Hu","doi":"10.1016/j.soh.2025.100118","DOIUrl":"10.1016/j.soh.2025.100118","url":null,"abstract":"<div><div>Air pollution and antimicrobial resistance (AMR) are two critical challenges that threaten global health and sustainability. Emerging research suggests a significant connection between these phenomena, with air pollution potentially acting as a driver for the development, dissemination, and persistence of antimicrobial resistance genes (ARGs). Drawing on evidence from recent studies, we highlight the mechanisms through which air pollution contributes to AMR, including the role of particulate matter, atmospheric transport, and co-selection pressure. We advocate for a comprehensive One Health approach to address the intertwined threats of air pollution and AMR, emphasizing the need for integrated policies, surveillance, and interdisciplinary research.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100118"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100127
Jingshu Liu , Shenning Lu , Jiming Liu , Huaiyu Tian , Md. Tanvir Rahman , Issam Bennis , Somphou Sayasone , Daniela Polessa , Khaja Mohteshamuddin , Quanle Li , Heya Yi , Mayumi Wakimoto , Arve Lee Willingham , Raman Bedi , Xiao-Nong Zhou
This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.
{"title":"AI tools accelerating One Health advancement: insights from the Global Public Health Week 2025 Webinar","authors":"Jingshu Liu , Shenning Lu , Jiming Liu , Huaiyu Tian , Md. Tanvir Rahman , Issam Bennis , Somphou Sayasone , Daniela Polessa , Khaja Mohteshamuddin , Quanle Li , Heya Yi , Mayumi Wakimoto , Arve Lee Willingham , Raman Bedi , Xiao-Nong Zhou","doi":"10.1016/j.soh.2025.100127","DOIUrl":"10.1016/j.soh.2025.100127","url":null,"abstract":"<div><div>This commentary emerges from a webinar titled “AI Tools Accelerating One Health Advancement for a Public Health Perspective,” held on World Health Day 2025. The event convened global experts to explore how artificial intelligence (AI) reshapes One Health initiatives. Key discussions addressed AI applications in data integration, risk assessment, and real-time public health responses. Major outcomes included strategies for incorporating AI into public health research, fostering multi-sectoral partnerships, addressing ethical and privacy concerns, and improving AI literacy. This commentary proposes six core recommendations: (1) establish robust governance frameworks; (2) develop a global AI ethics charter; (3) mandate transparency in training data and algorithms; (4) expand open-data access and AI literacy programs; (5) create interdisciplinary One Health innovation hubs; and (6) ensure AI solutions are both cutting-edge and equitable. These proposals aim to guide responsible and inclusive AI implementation to safeguard human, animal, and environmental health.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100132
Zhichao Li , Dongliang Li , Jinwei Dong , Qixu Zhu , Youyi Zuo , Juan Pu , Lu Wang , Weipan Lei , Jun Cai , Qu Cheng , Yuzhe Li , Jing Yang , Yang Ju , Zhirui Wu
Emerging infectious diseases (EIDs), whether newly identified or re-emerging in human and animal populations, pose significant threats to global public health. China has experienced multiple EIDs outbreaks in recent years, underscoring the need for robust surveillance and early warning systems. Although China has established surveillance systems for events affecting climate, wildlife, livestock and poultry, and humans, the current systems remain inadequate for the early detection, monitoring, and prevention of zoonotic spillover events. The “One Health” approach, which integrates human, animal, and environmental health, offers a comprehensive strategy for mitigating EIDs risks. This study reviews China's national-level surveillance and early warning systems from a “One Health” perspective, highlighting key limitations and proposing future directions to enhance preparedness and response capabilities. The findings are intended to inform policy improvements and strengthen interdisciplinary collaboration for effective EIDs management.
{"title":"Integrated health surveillance and early warning systems in China under the One Health perspective: progress and challenges","authors":"Zhichao Li , Dongliang Li , Jinwei Dong , Qixu Zhu , Youyi Zuo , Juan Pu , Lu Wang , Weipan Lei , Jun Cai , Qu Cheng , Yuzhe Li , Jing Yang , Yang Ju , Zhirui Wu","doi":"10.1016/j.soh.2025.100132","DOIUrl":"10.1016/j.soh.2025.100132","url":null,"abstract":"<div><div>Emerging infectious diseases (EIDs), whether newly identified or re-emerging in human and animal populations, pose significant threats to global public health. China has experienced multiple EIDs outbreaks in recent years, underscoring the need for robust surveillance and early warning systems. Although China has established surveillance systems for events affecting climate, wildlife, livestock and poultry, and humans, the current systems remain inadequate for the early detection, monitoring, and prevention of zoonotic spillover events. The “One Health” approach, which integrates human, animal, and environmental health, offers a comprehensive strategy for mitigating EIDs risks. This study reviews China's national-level surveillance and early warning systems from a “One Health” perspective, highlighting key limitations and proposing future directions to enhance preparedness and response capabilities. The findings are intended to inform policy improvements and strengthen interdisciplinary collaboration for effective EIDs management.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100132"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2024.100103
Awnon Bhowmik , Mahmudul Hasan , Md. Mehedi Hasan Redoy , Goutam Saha
Nipah virus (NiV) is a zoonotic threat that has caused recurrent outbreaks in Bangladesh since 2001, raising significant public health concerns. This study provides a descriptive analysis of NiV outbreaks from 2001 to 2024, examining trends in infection and death rates and their correlation with climatic factors such as temperature, humidity, and rainfall. The findings highlight significant spikes in NiV cases during specific years, with environmental factors, particularly temperature and precipitation, showing solid correlations with outbreak patterns. The study also explores the impact of population dynamics on transmission risks, including urbanization and density. By focusing on these factors, this research supports the development of targeted public health interventions in high-risk areas, particularly in Bangladesh's northwestern and central districts, where recurrent outbreaks have been observed. These insights improve surveillance and preventive strategies for mitigating future NiV outbreaks.
{"title":"Nipah virus outbreak trends in Bangladesh during the period 2001 to 2024: a brief review","authors":"Awnon Bhowmik , Mahmudul Hasan , Md. Mehedi Hasan Redoy , Goutam Saha","doi":"10.1016/j.soh.2024.100103","DOIUrl":"10.1016/j.soh.2024.100103","url":null,"abstract":"<div><div>Nipah virus (NiV) is a zoonotic threat that has caused recurrent outbreaks in Bangladesh since 2001, raising significant public health concerns. This study provides a descriptive analysis of NiV outbreaks from 2001 to 2024, examining trends in infection and death rates and their correlation with climatic factors such as temperature, humidity, and rainfall. The findings highlight significant spikes in NiV cases during specific years, with environmental factors, particularly temperature and precipitation, showing solid correlations with outbreak patterns. The study also explores the impact of population dynamics on transmission risks, including urbanization and density. By focusing on these factors, this research supports the development of targeted public health interventions in high-risk areas, particularly in Bangladesh's northwestern and central districts, where recurrent outbreaks have been observed. These insights improve surveillance and preventive strategies for mitigating future NiV outbreaks.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2024.100096
Yvon Le Maho , Aurélie Tasiemski , Fabrice Bertile , Philippe Bulet
Most biomedical research on animals is based on the handful of the so-called standard model organisms, i.e. laboratory mice, rats or Drosophila, but the keys to some important biomedical questions may simply not be found in these. However, compared with the high number of molecules originating from plants in clinical use, and with the countless unique adaption mechanisms that animals have developed over the course of evolution to cope with environmental constrains, there is still few investigations on wild animals with biomedical objectives, and field studies are far fewer. A major limitation is insufficient funding, the main causes of which we analyze. We argue, however, that fieldwork is a key driver in generating new scientific knowledge as part of a One Health approach, by observing/documenting and understanding the diverse and largely unexplored biological processes evolved by animals adapted to unusual environmental conditions, which would be extreme conditions for humans. These conditions do not only refer to extreme temperatures, since lack of food or water, high pressures or lack of oxygen, are clearly extreme constraints. To conduct this research, there are serious limitations we propose to address. Specific techniques and methods are requested, not only to work in extreme environments, but also to minimize the ecological footprint of field work. The erosion of biodiversity is a major threat. The reduction of animal disturbance, a key issue, requires specific technologies and expertise. An ethical approach is requested, for the sake of transparency and to comply with the Nagoya Protocol on genetic resources. An interdisciplinary expertise and a meticulous planning are requested to overcome the field constraints and interface the associated laboratory work. We recommend focusing on the major threats to global human health today, which wild animals appear to resist particularly well, such as antibioresistance and diseases associated with lifestyle and senescence.
{"title":"Fieldwork on animals living in extreme conditions as a source of biomedical innovation","authors":"Yvon Le Maho , Aurélie Tasiemski , Fabrice Bertile , Philippe Bulet","doi":"10.1016/j.soh.2024.100096","DOIUrl":"10.1016/j.soh.2024.100096","url":null,"abstract":"<div><div>Most biomedical research on animals is based on the handful of the so-called standard model organisms, i.e. laboratory mice, rats or <em>Drosophila</em>, but the keys to some important biomedical questions may simply not be found in these. However, compared with the high number of molecules originating from plants in clinical use, and with the countless unique adaption mechanisms that animals have developed over the course of evolution to cope with environmental constrains, there is still few investigations on wild animals with biomedical objectives, and field studies are far fewer. A major limitation is insufficient funding, the main causes of which we analyze. We argue, however, that fieldwork is a key driver in generating new scientific knowledge as part of a One Health approach, by observing/documenting and understanding the diverse and largely unexplored biological processes evolved by animals adapted to unusual environmental conditions, which would be extreme conditions for humans. These conditions do not only refer to extreme temperatures, since lack of food or water, high pressures or lack of oxygen, are clearly extreme constraints. To conduct this research, there are serious limitations we propose to address. Specific techniques and methods are requested, not only to work in extreme environments, but also to minimize the ecological footprint of field work. The erosion of biodiversity is a major threat. The reduction of animal disturbance, a key issue, requires specific technologies and expertise. An ethical approach is requested, for the sake of transparency and to comply with the Nagoya Protocol on genetic resources. An interdisciplinary expertise and a meticulous planning are requested to overcome the field constraints and interface the associated laboratory work. We recommend focusing on the major threats to global human health today, which wild animals appear to resist particularly well, such as antibioresistance and diseases associated with lifestyle and senescence.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11773462/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143061868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Senegal is located in a malaria-endemic zone. Malaria is a highly climate-sensitive vector-borne disease, yet its sentinel surveillance shows a weak integration of malaria morbidity data with climatic factors. Therefore, it is useful to analyse the correlation between these factors in Senegal from 2012 to 2019.
Methods
An analytical cross-sectional study of malaria incidence rate (MIR) with its climatic factors from 2012 to 2019 was carried out. This was followed by predictive modelling of MIR and its climatic factors from 2020 to 2023. A reconstituted database, incorporating data from National Malaria Control Program (initiated by Ministry of Health) and National Agency for Civil Aviation and Meteorology, enabled a multi-variate analysis through a vector auto regression approach using Microsoft Excel 2010 and R 3.6.1 software.
Results
MIR evolved in three phases: initially almost zero from January to May, then gradually increases with an accentuation in August–September, and finally gradually decreases from November to December. However, unlike Podor (0.11 ‰), MIR heterogeneity was seen in Kédougou (12.55 ‰) and Bakel (7.34 ‰). Apart from wind strength and mean temperature which moved in the opposite directions, all other climatic factors evolved in the same dynamics as MIR. MIR followed changes in rainfall and hygrometry with an average lag of (2.5 ± 1.0) months and (1.0 ± 0.5) months, respectively. The causal links between MIR and rainfall showed a decreasing trend in Dakar (P = 4.18 × 10−6), Ziguinchor (P = 7.95 × 10−4), Diourbel (P = 1.91 × 10−3), Kédougou (P = 4.03 × 10−3), and Bakel (P = 3.32 × 10−2). In Bakel, additional associations were observed between MIR and both minimum temperature (P = 5.87 × 10−3) and maximum temperature (P = 1.22 × 10−2) temperatures. Predictive modelling shows an overall downward trend for MIR from 2020 to 2023, with its climatic factors preceding MIR by an average of two months.
Conclusion
This study highlights the importance of synchronous, multi-sectoral, and integrated surveillance of malaria alongside climatic factors to more effectively meet pre-elimination requirements in Senegal.
{"title":"Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal","authors":"Ibrahima Mamby Keita , Mariama Diouf , Medoune Ndiop , Boly Diop , Khaly Gueye , Marianne Kouawo , Ousmane Ndiaye , Doudou Sene , Elhadji Mamadou Ndiaye , Marie Khemesse Ngom Ndiaye","doi":"10.1016/j.soh.2025.100112","DOIUrl":"10.1016/j.soh.2025.100112","url":null,"abstract":"<div><h3>Background</h3><div>Senegal is located in a malaria-endemic zone. Malaria is a highly climate-sensitive vector-borne disease, yet its sentinel surveillance shows a weak integration of malaria morbidity data with climatic factors. Therefore, it is useful to analyse the correlation between these factors in Senegal from 2012 to 2019.</div></div><div><h3>Methods</h3><div>An analytical cross-sectional study of malaria incidence rate (MIR) with its climatic factors from 2012 to 2019 was carried out. This was followed by predictive modelling of MIR and its climatic factors from 2020 to 2023. A reconstituted database, incorporating data from National Malaria Control Program (initiated by Ministry of Health) and National Agency for Civil Aviation and Meteorology, enabled a multi-variate analysis through a vector auto regression approach using <em>Microsoft Excel 2010</em> and <em>R 3.6.1</em> software.</div></div><div><h3>Results</h3><div>MIR evolved in three phases: initially almost zero from January to May, then gradually increases with an accentuation in August–September, and finally gradually decreases from November to December. However, unlike Podor (0.11 ‰), MIR heterogeneity was seen in Kédougou (12.55 ‰) and Bakel (7.34 ‰). Apart from wind strength and mean temperature which moved in the opposite directions, all other climatic factors evolved in the same dynamics as MIR. MIR followed changes in rainfall and hygrometry with an average lag of (2.5 ± 1.0) months and (1.0 ± 0.5) months, respectively. The causal links between MIR and rainfall showed a decreasing trend in Dakar (<em>P</em> = 4.18 × 10<sup>−6</sup>), Ziguinchor (<em>P</em> = 7.95 × 10<sup>−4</sup>), Diourbel (<em>P</em> = 1.91 × 10<sup>−3</sup>), Kédougou (<em>P</em> = 4.03 × 10<sup>−3</sup>), and Bakel (<em>P</em> = 3.32 × 10<sup>−2</sup>). In Bakel, additional associations were observed between MIR and both minimum temperature (<em>P</em> = 5.87 × 10<sup>−3</sup>) and maximum temperature (<em>P</em> = 1.22 × 10<sup>−2</sup>) temperatures. Predictive modelling shows an overall downward trend for MIR from 2020 to 2023, with its climatic factors preceding MIR by an average of two months.</div></div><div><h3>Conclusion</h3><div>This study highlights the importance of synchronous, multi-sectoral, and integrated surveillance of malaria alongside climatic factors to more effectively meet pre-elimination requirements in Senegal.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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