scholarly journals Human population movement and behavioural patterns in malaria hotspots on the Thai–Myanmar border: implications for malaria elimination

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Sayambhu Saita ◽  
Wirichada Pan-ngum ◽  
Suparat Phuanukoonnon ◽  
Patchara Sriwichai ◽  
Tassanee Silawan ◽  
...  
2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Carolin Vegvari ◽  
James E. Truscott ◽  
Klodeta Kura ◽  
Roy M. Anderson

Abstract Background Soil-transmitted helminth (STH) infections affect predominantly socio-economically disadvantaged populations in sub-Saharan Africa, East Asia and the Americas. Previous mathematical modelling studies have evaluated optimal intervention strategies to break STH transmission in clusters of villages. These studies assumed that villages are closed independent units with no movement of people in or out of communities. Here we examine how human population movement, for example, of seasonal migrant labourers, affect the outcome of mass drug administration (MDA) programmes. Results We used a stochastic individual-based metapopulation model to analyse the impact of human population movement at varying rates on STH elimination efforts. Specifically, we looked at seasonal clumped movement events of infected individuals into a village. We showed that even if on average 75% of the entire resident population within a village are treated, an annual rate of 2–3% of the population arriving from an untreated source village can reduce the probability of STH elimination to less than 50% in high-prevalence settings. If a village is infection-free, an annual movement rate of 2–3% from an infected source village imposes a risk of re-introduction of STH of 75% or higher, unless the prevalence in the source village is less than 20%. Even a single arrival of 2–3% of the population can impose a risk of re-introducing STH of 50% or greater depending on the prevalence in the source village. The risk of re-introduction also depends on both the age group of moving individuals and STH species, since the pattern of cross-sectional age-prevalence and age-intensity profiles of infection in the human host are species-specific. Conclusions Planning for STH elimination programmes should account for human mobility patterns in defined regions. We recommend that individuals arriving from areas with ongoing STH transmission should receive preventive chemotherapy for STHs. This can most easily be implemented if migration is seasonal and overlaps with treatment rounds, e.g. seasonal migrant labour. Moreover, transmission hotspots in or near treatment clusters should be eliminated, for example, by implementing appropriate water, sanitation and hygiene (WASH) measures and targeting treatment to individuals living in hotspots.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Greta Tam ◽  
Benjamin J. Cowling ◽  
Richard J. Maude

Abstract Background Human population movement poses a major obstacle to malaria control and elimination. With recent technological advances, a wide variety of data sources and analytical methods have been used to quantify human population movement (HPM) relevant to control and elimination of malaria. Methods The relevant literature and selected studies that had policy implications that could help to design or target malaria control and elimination interventions were reviewed. These studies were categorized according to spatiotemporal scales of human mobility and the main method of analysis. Results Evidence gaps exist for tracking routine cross-border HPM and HPM at a regional scale. Few studies accounted for seasonality. Out of twenty included studies, two studies which tracked daily neighbourhood HPM used descriptive analyses as the main method, while the remaining studies used statistical analyses or mathematical modelling. Conclusion Although studies quantified varying types of human population movement covering different spatial and temporal scales, methodological gaps remain that warrant further studies related to malaria control and elimination.


2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Annie J. Browne ◽  
Carlos A. Guerra ◽  
Renato Vieira Alves ◽  
Veruska Maia da Costa ◽  
Anne L. Wilson ◽  
...  

Abstract Chagas is a potentially fatal chronic disease affecting large numbers of people across the Americas and exported throughout the world through human population movement. It is caused by the Trypanosoma cruzi parasite, which is transmitted by triatomine vectors to humans and a wide range of alternative host species. The database described here was compiled to allow the risk of vectorial transmission to humans to be mapped using geospatial models. The database collates all available records, published since 2003, for prevalence and occurrence of infection in humans, vectors and alternative hosts, and links each record to a defined time and location. A total of 16,802 records of infection have been extracted from the published literature and unpublished sources. The resulting database can be used to improve our understanding of the geographic variation in vector infection prevalence and to estimate the risk of vectorial transmission of T. cruzi to humans.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Túlio De Lima Campos ◽  
Ricardo Durães-Carvalho ◽  
Antonio Mauro Rezende ◽  
Otávio Valério de Carvalho ◽  
Alain Kohl ◽  
...  

The rapid worldwide spread of chikungunya (CHIKV), dengue (DENV), and Zika (ZIKV) viruses have raised great international concern. Knowledge about the entry routes and geographic expansion of these arboviruses to the mainland Americas remain incomplete and controversial. Epidemics caused by arboviruses continue to cause socioeconomic burden globally, particularly in countries where vector control is difficult due to climatic or infrastructure factors. Understanding how the virus circulates and moves from one country to another is of paramount importance to assist government and health officials in anticipating future epidemics, as well as to take steps to help control or mitigate the spread of the virus. Through the analyses of the sequences of arbovirus genomes collected at different locations over time, we identified patterns of accumulated mutations, being able to trace routes of dispersion of these viruses. Here, we applied robust phylogenomic methods to trace the evolutionary dynamics of these arboviruses with special focus on Brazil, the epicenter of these triple epidemics. Our results show that CHIKV, DENV-1–4, and ZIKV followed a similar path prior to their first introductions into the mainland Americas, underscoring the need for systematic arboviral surveillance at major entry points of human population movement between countries such as airports and seaports.


PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144990 ◽  
Author(s):  
Sheetal Prakash Silal ◽  
Francesca Little ◽  
Karen Irma Barnes ◽  
Lisa Jane White

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0159784
Author(s):  
Sheetal Prakash Silal ◽  
Francesca Little ◽  
Karen Irma Barnes ◽  
Lisa Jane White

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