Background: To achieve the goal of malaria elimination, it is important to determine the role of human mobility of maintain parasite transmission. The Alto Jurua basin (Brazil) has one of the largest prevalence of malaria vivax and malaria falciparum in the Amazon. The goal of this work was to estimate the contribution of human commutation on the persistence of malaria in this region using data from a origin-destination survey.
Methods: Data from the origin-destination survey was used to describe the intensity and motivation for commutation between rural settlements and urban areas in two municipalities, Mancio Lima and Rodrigues Alves. The relative
time-person spent in each locality per household was estimated. A logistic model was fitted to estimate the effect of commuting on the probability of getting malaria for a householder from a zone of residence commuting to another zone.
Results: Our main results suggest that this population is not very mobile. 96% of household reported spending more than 90% of the annual person-hour at localities within the same zone of residence. Study and work are the most prevalent motivations for commuting, 40.5% and 29.5% respectively. Spending person-hours in urban Rodrigues Alves conferred relative protection to the residents of urban Mancio Lima. On the other hand, spending time in urban Rodrigues Alves conferred protection against malaria for those living in urban Mancio Lima. The opposite effect occurs for those spending time in the rural areas of both municipalities.
Conclusion: In the alto Jurua region, the place one lives is a stronger determinant of malaria risk than the place ones commute. These municipalities of a hotspot of Plasmodium transmission, thus understanding the main fluxes is essential to planning control strategies because the probability of getting malaria is dependent on the intensity of transmission of both, the area of origin and the area to which the displacement take place. The natural conditions for the circulation of pathogens such as the Plasmodium spp, combined with the pattern of mobility of humans in the Amazon, make clear the need of disease control perspective change. It is essential that intersectoral public policies be the basis for health mitigation actions.

Figure 1
Figure 2
Figure 3

Figure 4

Figure 5

Figure 6
The full text of this article is available to read as a PDF.
This is a list of supplementary files associated with this preprint. Click to download.
Contains the table with information about origin-destination pairs by a total of hours, motivations, and type of zone destination and the quantitative description of mobility motivation
Presents the estimated malaria case probability based on typical person-hour-origin-destination matrix and the estimated effect of each locality to the probability of observing a malaria case. Points represent the median and vertical lines the 95% CI over 1000 of the posterior distribution
Presents the dataset used to conduct the analysis.
Loading...
Posted 10 Oct, 2020
On 29 Oct, 2020
On 07 Oct, 2020
On 06 Oct, 2020
On 06 Oct, 2020
Posted 14 Sep, 2020
On 12 Sep, 2020
On 10 Sep, 2020
On 09 Sep, 2020
On 09 Sep, 2020
Posted 14 Sep, 2020
On 03 Oct, 2020
On 01 Oct, 2020
On 30 Sep, 2020
On 30 Sep, 2020
On 11 Aug, 2020
Received 10 Aug, 2020
Received 03 Aug, 2020
On 18 Jul, 2020
Invitations sent on 15 Jul, 2020
On 15 Jul, 2020
On 04 Jul, 2020
On 03 Jul, 2020
On 30 Jun, 2020
On 29 Jun, 2020
Posted 10 Oct, 2020
On 29 Oct, 2020
On 07 Oct, 2020
On 06 Oct, 2020
On 06 Oct, 2020
Posted 14 Sep, 2020
On 12 Sep, 2020
On 10 Sep, 2020
On 09 Sep, 2020
On 09 Sep, 2020
Posted 14 Sep, 2020
On 03 Oct, 2020
On 01 Oct, 2020
On 30 Sep, 2020
On 30 Sep, 2020
On 11 Aug, 2020
Received 10 Aug, 2020
Received 03 Aug, 2020
On 18 Jul, 2020
Invitations sent on 15 Jul, 2020
On 15 Jul, 2020
On 04 Jul, 2020
On 03 Jul, 2020
On 30 Jun, 2020
On 29 Jun, 2020
Background: To achieve the goal of malaria elimination, it is important to determine the role of human mobility of maintain parasite transmission. The Alto Jurua basin (Brazil) has one of the largest prevalence of malaria vivax and malaria falciparum in the Amazon. The goal of this work was to estimate the contribution of human commutation on the persistence of malaria in this region using data from a origin-destination survey.
Methods: Data from the origin-destination survey was used to describe the intensity and motivation for commutation between rural settlements and urban areas in two municipalities, Mancio Lima and Rodrigues Alves. The relative
time-person spent in each locality per household was estimated. A logistic model was fitted to estimate the effect of commuting on the probability of getting malaria for a householder from a zone of residence commuting to another zone.
Results: Our main results suggest that this population is not very mobile. 96% of household reported spending more than 90% of the annual person-hour at localities within the same zone of residence. Study and work are the most prevalent motivations for commuting, 40.5% and 29.5% respectively. Spending person-hours in urban Rodrigues Alves conferred relative protection to the residents of urban Mancio Lima. On the other hand, spending time in urban Rodrigues Alves conferred protection against malaria for those living in urban Mancio Lima. The opposite effect occurs for those spending time in the rural areas of both municipalities.
Conclusion: In the alto Jurua region, the place one lives is a stronger determinant of malaria risk than the place ones commute. These municipalities of a hotspot of Plasmodium transmission, thus understanding the main fluxes is essential to planning control strategies because the probability of getting malaria is dependent on the intensity of transmission of both, the area of origin and the area to which the displacement take place. The natural conditions for the circulation of pathogens such as the Plasmodium spp, combined with the pattern of mobility of humans in the Amazon, make clear the need of disease control perspective change. It is essential that intersectoral public policies be the basis for health mitigation actions.

Figure 1
Figure 2
Figure 3

Figure 4

Figure 5

Figure 6
The full text of this article is available to read as a PDF.
This is a list of supplementary files associated with this preprint. Click to download.
Contains the table with information about origin-destination pairs by a total of hours, motivations, and type of zone destination and the quantitative description of mobility motivation
Presents the estimated malaria case probability based on typical person-hour-origin-destination matrix and the estimated effect of each locality to the probability of observing a malaria case. Points represent the median and vertical lines the 95% CI over 1000 of the posterior distribution
Presents the dataset used to conduct the analysis.
Loading...