Exploring the interplay between climate change and schistosomiasis transmission dynamics

被引:3
|
作者
Tabo, Zadoki [1 ,2 ]
Kalinda, Chester [1 ,4 ]
Breuer, Lutz [2 ,3 ]
Albrecht, Christian [1 ]
机构
[1] Justus Liebig Univ Giessen, Dept Anim Ecol & Systemat, Heinrich Buff Ring 26 iFZ, D-35392 Giessen, Germany
[2] Justus Liebig Univ Giessen, Dept Landscape Ecol & Resource Management, Heinrich Buff Ring 26 iFZ, D-35392 Giessen, Germany
[3] Justus Liebig Univ Giessen, Ctr Int Dev & Environm Res ZEU, Senckenbergstr 3, D-35390 Giessen, Germany
[4] Univ Global Hlth Equ Kigali Hts, Bill & Joyce Cummings Inst Global Hlth, Plot 772 KG 7 Ave POB 6955, Kigali, Rwanda
关键词
Modeling; Schistosomiasis transmission; Temperature; Rainfall; Basic reproduction number; East Africa; POPULATION-DYNAMICS; MANSONI; MODELS; DISEASES; COMPUTATION; HAEMATOBIUM;
D O I
10.1016/j.idm.2023.12.003
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Schistosomiasis, a neglected tropical disease caused by parasitic worms, poses a major public health challenge in economically disadvantaged regions, especially in Sub-Saharan Africa. Climate factors, such as temperature and rainfall patterns, play a crucial role in the transmission dynamics of the disease. This study presents a deterministic model that aims to evaluate the temporal and seasonal transmission dynamics of schistosomiasis by examining the influence of temperature and rainfall over time. Equilibrium states are examined to ascertain their existence and stability employing the center manifold theory, while the basic reproduction number is calculated using the next-generation technique. To validate the model's applicability, demographic and climatological data from Uganda, Kenya, and Tanzania, which are endemic East African countries situated in the tropical region, are utilized as a case study region. The findings of this study provide evidence that the transmission of schistosomiasis in human populations is significantly influenced by seasonal and monthly variations, with incidence rates varying across countries depending on the frequency of temperature and rainfall. Consequently, the region is marked by both schistosomiasis emergencies and re-emergences. Specifically, it is observed that monthly mean temperatures within the range of 22-27 degrees C create favorable conditions for the development of schistosomiasis and have a positive impact on the reproduction numbers. On the other hand, monthly maximum temperatures ranging from 27 to 33 degrees C have an adverse effect on transmission. Furthermore, through sensitivity analysis, it is projected that by the year 2050, factors such as the recruitment rate of snails, the presence of parasite egg-containing stools, and the rate of miracidia shedding per parasite egg will contribute significantly to the occurrence and control of schistosomiasis infections. This study highlights the significant influence of seasonal and monthly variations, driven by temperature and rainfall patterns, on the transmission dynamics of schistosomiasis. These findings underscore the importance of considering climate factors in the control and prevention strategies of schistosomiasis. Additionally, the projected impact of various factors on schistosomiasis infections by 2050 emphasizes the need for proactive measures to mitigate the disease's impact on vulnerable populations. Overall, this research provides valuable insights to anticipate future challenges and devise adaptive measures to address schistosomiasis transmission patterns. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:158 / 176
页数:19
相关论文
共 50 条
  • [1] Climate change could fuel urinary schistosomiasis transmission in Africa and Europe
    van der Deure, Tiem
    Maes, Tim
    Huyse, Tine
    Stensgaard, Anna-Sofie
    GLOBAL CHANGE BIOLOGY, 2024, 30 (08)
  • [2] The emergence of angiostrongyliasis in the People's Republic of China: the interplay between invasive snails, climate change and transmission dynamics
    Lv, Shan
    Zhang, Yi
    Steinmann, Peter
    Yang, Guo-Jing
    Yang, Kun
    Zhou, Xiao-Nong
    Utzinger, Juerg
    FRESHWATER BIOLOGY, 2011, 56 (04) : 717 - 734
  • [3] Heterogeneity in schistosomiasis transmission dynamics
    Mari, Lorenzo
    Ciddio, Manuela
    Casagrandi, Renato
    Perez-Saez, Javier
    Bertuzzo, Enrico
    Rinaldo, Andrea
    Sokolow, Susanne H.
    De Leo, Giulio A.
    Gatto, Marino
    JOURNAL OF THEORETICAL BIOLOGY, 2017, 432 : 87 - 99
  • [4] Transmission dynamics of schistosomiasis in Zimbabwe: A mathematical and GIS Approach
    Ngarakana-Gwasira, E. T.
    Bhunu, C. P.
    Masocha, M.
    Mashonjowa, E.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2016, 35 : 137 - 147
  • [6] Modeling the Effects of Weather and Climate Change on Malaria Transmission
    Parham, Paul Edward
    Michael, Edwin
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2010, 118 (05) : 620 - 626
  • [7] The interplay between climate change and ageing: A systematic review of health indicators
    Figueiredo, Teodora
    Midao, Luis
    Rocha, Pedro
    Cruz, Sara
    Lameira, Gisela
    Conceicao, Paulo
    Ramos, Rui J. G.
    Batista, Luisa
    Corvacho, Helena
    Almada, Marta
    Martins, Ana
    Rocha, Cecilia
    Ribeiro, Anabela
    Alves, Fernando
    Costa, Elisio
    PLOS ONE, 2024, 19 (04):
  • [8] Potential effects of climate change on dengue transmission dynamics in Korea
    Lee, Hyojung
    Kim, Jung Eun
    Lee, Sunmi
    Lee, Chang Hyeong
    PLOS ONE, 2018, 13 (06):
  • [9] Interplay Between Changing Climate and Species' Ecology Drives Macroevolutionary Dynamics
    Ezard, Thomas H. G.
    Aze, Tracy
    Pearson, Paul N.
    Purvis, Andy
    SCIENCE, 2011, 332 (6027) : 349 - 351
  • [10] Effects of climate change on Plasmodium vivax malaria transmission dynamics: A mathematical modeling approach
    Kim, Jung Eun
    Choi, Yongin
    Lee, Chang Hyeong
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 347 : 616 - 630