scholarly journals Analysing human population movement data for malaria control and elimination

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Greta Tam ◽  
Benjamin J. Cowling ◽  
Richard J. Maude
Keyword(s):  
Malaria Control ◽  
Human Population ◽  
Human Mobility ◽  
Relevant Literature ◽  
Regional Scale ◽  
Policy Implications ◽  
Population Movement ◽  
Main Method ◽  
Spatial And Temporal Scales ◽  
Human Population Movement

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.

scholarly journals Human population movement can impede the elimination of soil-transmitted helminth transmission in regions with heterogeneity in mass drug administration coverage and transmission potential between villages: a metapopulation analysis

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Carolin Vegvari ◽  
James E. Truscott ◽  
Klodeta Kura ◽  
Roy M. Anderson
Keyword(s):  
Drug Administration ◽  
Mass Drug Administration ◽  
Human Population ◽  
Sub Saharan Africa ◽  
Population Movement ◽  
Mobility Patterns ◽  
Preventive Chemotherapy ◽  
Cross Sectional ◽  
The Impact ◽  
Human Population Movement

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.

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 ◽  
...  
Keyword(s):  
Malaria Elimination ◽  
Human Population ◽  
Population Movement ◽  
Behavioural Patterns ◽  
Human Population Movement

scholarly journals Revealing spatiotemporal transmission patterns and stages of COVID-19 in China using individual patients’ trajectory data

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Tao Cheng ◽  
Tianhua Lu ◽  
Yunzhe Liu ◽  
Xiaowei Gao ◽  
Xianghui Zhang
Keyword(s):  
General Public ◽  
Policy Making ◽  
Human Mobility ◽  
Policy Implications ◽  
Evidence Based ◽  
Strong Positive Correlation ◽  
Trajectory Data ◽  
Spatial And Temporal Scales ◽  
The City ◽  
Spatiotemporal Transmission

AbstractGauging viral transmission through human mobility in order to contain the COVID-19 pandemic has been a hot topic in academic studies and evidence-based policy-making. Although it is widely accepted that there is a strong positive correlation between the transmission of the coronavirus and the mobility of the general public, there are limitations to existing studies on this topic. For example, using digital proxies of mobile devices/apps may only partially reflect the movement of individuals; using the mobility of the general public and not COVID-19 patients in particular, or only using places where patients were diagnosed to study the spread of the virus may not be accurate; existing studies have focused on either the regional or national spread of COVID-19, and not the spread at the city level; and there are no systematic approaches for understanding the stages of transmission to facilitate the policy-making to contain the spread.To address these issues, we have developed a new methodological framework for COVID-19 transmission analysis based upon individual patients’ trajectory data. By using innovative space–time analytics, this framework reveals the spatiotemporal patterns of patients’ mobility and the transmission stages of COVID-19 from Wuhan to the rest of China at finer spatial and temporal scales. It can improve our understanding of the interaction of mobility and transmission, identifying the risk of spreading in small and medium-sized cities that have been neglected in existing studies. This demonstrates the effectiveness of the proposed framework and its policy implications to contain the COVID-19 pandemic.

Portfolio investment outflow and the complementary role of direct investment

2015 ◽  
Vol 7 (3) ◽  
pp. 190-206 ◽  
Author(s):  
Abdullah Noman ◽  
Mohammad Nakibur Rahman ◽  
Atsuyuki Naka
Keyword(s):  
Direct Investment ◽  
Relevant Literature ◽  
Explanatory Power ◽  
Least Square ◽  
Policy Implications ◽  
Portfolio Investment ◽  
Content Type ◽  
Foreign Portfolio Investment ◽  
Complementary Role

Purpose – This paper aims to uncover potential contemporaneous relationship between foreign portfolio investment (FPI) and another popular type of cross-border investment outflow, namely, foreign direct investment (FDI). Design/methodology/approach – The relationship between FPI and FDI are modeled using simultaneous equations approach to take potential endogeneity in to account. In a panel of 45 countries over the period of 2001-2009, FPI and FDI are found to be strategically complimentary to each other. Findings – The two-stage least square estimates suggest existence of both statistically and economically significant relationship between these two types of outflows. In particular, the FDI outflow has empirically significant predictive power in explaining the FPI outflow. Similarly, the FPI outflow also has significant explanatory power for the observed level of FDI outflow. Second, the FPI has greater explanatory power for FDI outflow than the FDI for the FPI outflow. Originality/value – The authors believe that the paper would contribute to the relevant literature in terms of its originality and scope. The empirical findings of the paper have valuable policy implications.

scholarly journals The Impact of COVID-19 on NO2 and PM2.5 Levels and Their Associations with Human Mobility Patterns in Singapore

2021 ◽  
Author(s):  
Yangyang Li ◽  
Yihan Zhu ◽  
Jia Yu Karen Tan ◽  
Hoong Chen Teo ◽  
Andrea Law ◽  
...  
Keyword(s):  
Air Pollution ◽  
East Coast ◽  
Human Mobility ◽  
Regional Scale ◽  
Air Pollutant ◽  
Pollution Level ◽  
The South ◽  
High Association ◽  
Pollutant Level ◽  
The Impact

AbstractThe decline in NO2 and PM2.5 pollutant levels were observed during COVID-19 around the world, especially during lockdowns. Previous studies explained such observed decline with the decrease in human mobility, whilst overlooking the meteorological changes (e.g., rainfall, wind speed) that could mediate air pollution level simultaneously. This pitfall could potentially lead to over-or under-estimation of the effect of COVID-19 on air pollution. Consequently, this study aims to re-evaluate the impact of COVID-19 on NO2 and PM2.5 pollutant level in Singapore, by incorporating the effect of meteorological parameters in predicting NO2 and PM2.5 baseline in 2020 using machine learning methods. The results found that NO2 and PM2.5 declined by a maximum of 38% and 36%, respectively, during lockdown period. As two proxies for change in human mobility, taxi availability and carpark availability were found to increase and decrease by a maximum of 12.6% and 9.8%, respectively, in 2020 from 2019 during lockdown. To investigate how human mobility influenced air pollutant level, two correlation analyses were conducted: one between PM2.5 and carpark availability changes at regional scale and the other between NO2 and taxi availability changes at a spatial resolution of 0.01°. The NO2 variation was found to be more associated with the change in human mobility, with the correlation coefficients vary spatially across Singapore. A cluster of stronger correlations were found in the South and East Coast of Singapore. Contrarily, PM2.5 and carpark availability had a weak correlation, which could be due to the limit of regional analyses. Drawing to the wider context, the high association between human mobility and NO2 in the South and East Coast area can provide insights into future NO2 reduction policy in Singapore.Graphical Abstract

scholarly journals Analisis Strategis dan Kunci Keberhasilan Badan Pengembangan Sumber Daya Manusia (BPSDM) Provinsi Jambi

2019 ◽  
Vol 4 (1) ◽  
pp. 118
Author(s):  
Lailatul Isnaini ◽  
Musfarita Affiani
Keyword(s):  
Factor Analysis ◽  
Swot Analysis ◽  
External Factor ◽  
Relevant Literature ◽  
External Environment ◽  
External Factors ◽  
Internal Environment ◽  
Internal Factor ◽  
Internal Factors ◽  
Main Method

This paper aims to determine 1) the internal environment BPSDM Prov. Jambi, 2) external environment BPSDM Prov. Jambi, and 3) what strategic alternatives that could be taken after the change in nomenclature BPSDM Prov. Jambi. The main method of this article is a review of the relevant literature and documentation were analyzed using analysis of internal factors (Internal Factor Analysis Summary), the analysis of external factors (External Factor Analysis Summary) and SWOT analysis.

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