Modelling Salmonella Typhi in high-density urban Blantyre neighbourhood, Malawi, using point pattern methods

Author:

Khaki Jessie J.,Meiring James E.,Thindwa Deus,Henrion Marc Y. R.,Jere Tikhala M.,Msuku Harrison,Aryja Amit,Maharjan Archana,Dongol Sabina,Karkey Abhilasha,Bajracharya Binod Lal,Banda David,Masesa Clemens,Mbewe Maurice,Mangulenji George,Msefula Chisomo,Nyirenda Tonney,Mujadidi Yama F.,Voysey Merryn,Hill Jennifer,Gurung Pallavi,Khan Arifuzzaman,Saha Nirod Chandra,Biswas Prasanta Kumar,Adhikari Anup,Heyderman Robert S.,Gordon Melita A.,Giorgi Emanuele, ,

Abstract

AbstractSalmonella Typhi is a human-restricted pathogen that is transmitted by the faecal–oral route and causative organism of typhoid fever. Using health facility data from 2016 to 2020, this study focuses on modelling the spatial variation in typhoid risk in Ndirande township in Blantyre. To pursue this objective, we developed a marked inhomogeneous Poisson process model that allows us to incorporate both individual-level and environmental risk factors. The results from our analysis indicate that typhoid cases are spatially clustered, with the incidence decreasing by 54% for a unit increase in the water, sanitation, and hygiene (WASH) score. Typhoid intensity was also higher in children aged below 18 years than in adults. However, our results did not show evidence of a strong temporal variation in typhoid incidence. We also discuss the inferential benefits of using point pattern models to characterise the spatial variation in typhoid risk and outline possible extensions of the proposed modelling framework.

Funder

Wellcome Trust

Bill and Melinda Gates Foundation

Publisher

Springer Science and Business Media LLC

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