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. 2020 Mar 18;19(1):116.
doi: 10.1186/s12936-020-03187-8.

Re-introduction of vivax malaria in a temperate area (Moscow region, Russia): a geographic investigation

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Re-introduction of vivax malaria in a temperate area (Moscow region, Russia): a geographic investigation

Varvara A Mironova et al. Malar J. .

Abstract

Background: Between 1999 and 2008 Russia experienced a flare-up of transmission of vivax malaria following its massive importation with more than 500 autochthonous cases in European Russia, the Moscow region being the most affected. The outbreak waned soon after a decrease in importation in mid-2000s and strengthening the control measures. Compared with other post-eradication epidemics in Europe this one was unprecedented by its extension and duration.

Methods: The aim of this study is to identify geographical determinants of transmission. The degree of favourability of climate for vivax malaria was assessed by measuring the sum of effective temperatures and duration of season of effective infectivity using data from 22 weather stations. For geospatial analysis, the locations of each of 405 autochthonous cases detected in Moscow region have been ascertained. A MaxEnt method was used for modelling the territorial differentiation of Moscow region according to the suitability of infection re-emergence based on the statistically valid relationships between the distribution of autochthonous cases and environmental and climatic factors.

Results: In 1999-2004, in the beginning of the outbreak, meteorological conditions were extremely favourable for malaria in 1999, 2001 and 2002, especially within the borders of the city of Moscow and its immediate surroundings. The greatest number of cases occurred at the northwestern periphery of the city and in the adjoining rural areas. A significant role was played by rural construction activities attracting migrant labour, vegetation density and landscape division. A cut-off altitude of 200 m was observed, though the factor of altitude did not play a significant role at lower altitudes. Most likely, the urban heat island additionally amplified malaria re-introduction.

Conclusion: The malariogenic potential in relation to vivax malaria was high in Moscow region, albeit heterogeneous. It is in Moscow that the most favourable conditions exist for vivax malaria re-introduction in the case of a renewed importation. This recent event of large-scale re-introduction of vivax malaria in a temperate area can serve as a case study for further research.

Keywords: Autochthonous cases; Climate favourability; Environmental determinants; Geospatial analysis; Modelling; Re-introduction; Vivax malaria.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
The dynamics of imported and autochthonous cases in Russia, 1994–2007
Fig. 2
Fig. 2
Autochthonous cases of vivax malaria in Moscow region, 1999–2008
Fig. 3
Fig. 3
Spatial heterogeneity of malaria cases distribution in Moscow region, 1999–2008. Purple marks the areas with high compactness of autochthonous cases calculated by ArcGis kernel function
Fig. 4
Fig. 4
The sums of effective temperatures accumulated per season in the Moscow region, 1999–2003
Fig. 4
Fig. 4
The sums of effective temperatures accumulated per season in the Moscow region, 1999–2003
Fig. 4
Fig. 4
The sums of effective temperatures accumulated per season in the Moscow region, 1999–2003
Fig. 5
Fig. 5
Distribution of malaria cases by landscape units The most affected landscape units are listed in Table 3
Fig. 6
Fig. 6
Response curves based on MaxEnt simulation results reflecting the influence of each of the significant spatial factors on the likelihood of appearance of autochthonous cases a building density; b distance to cottage communities; c density of railways; d density of roads; e distance to railway stations; f maximum green vegetation fraction; g landscape units; h altitude; i maximum temperature of the warmest month; j annual precipitation. Colour indicates mean value (red), standard deviation limits (blue)
Fig. 7
Fig. 7
Distribution of malaria cases and cottage communities
Fig. 8
Fig. 8
Modelling the degree of favourable conditions for the occurrence of malaria cases. Average values from 10 replications (red denotes a high degree of suitability; blue is a low degree). The values represent a probability that a set of explanatory variables within the certain cell is treated by the model as suitable for the emergence of a malaria case

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