| Title: |
Spatial Effects of Livestock Farming on Human Infections With Shiga Toxin-Producing Escherichia coli O157 in Small but Densely Populated Regions: The Case of the Netherlands |
| Authors: |
Mulder, A C; van de Kassteele, J; Heederik, D; Pijnacker, R; Mughini-Gras, L; Franz, E; LS IRAS EEPI GRA (Gezh.risico-analyse); Faculteit Diergeneeskunde; IRAS OH Epidemiology Microbial Agents; dIRAS RA-I&I RA; dIRAS RA-I&I I&I |
| Publication Year: |
2020 |
| Subject Terms: |
SDG 3 - Good Health and Well-being |
| Description: |
The role of environmental transmission of typically foodborne pathogens like Shiga toxin-producing Escherichia coli (STEC) O157 is increasingly recognized. To gain more insights into spatially restricted risk factors that play a role in this transmission, we assessed the spatial association between sporadic STEC O157 human infections and the exposure to livestock (i.e. small ruminants, cattle, poultry, and pigs) in a densely populated country: the Netherlands. This was done for the years 2007-2016, using a state-of-the-art spatial analysis method in which hexagonal areas with different sizes (90, 50, 25 and 10 km2) were used in combination with a novel probability of exposure metric: the population-weighted number of animals per hexagon. To identify risk factors for STEC O157 infections and their population attributable fraction (PAF), a spatial regression model was fitted using integrated nested Laplace approximation (INLA). Living in hexagonal areas of 25, 50 and 90 km2 with twice as much population-weighted small ruminants was associated with an increase of the incidence rate of human STEC O157 infections in summer (RR of 1.09 [95%CI;1.01-1.17], RR of 1.17 [95%CI;1.07-1.28] and RR of 1.13 [95%CI;1.01-1.26]), with a PAF of 49% (95%CI;8-72%). Results suggest exposure to small ruminants to be a risk factor, although no evidence on the mode of transmission is provided. Therefore, the underlying mechanisms warrant further investigation and could offer new targets for control. The newly proposed exposure metric has potential to improve existing spatial modeling studies on infectious diseases related to livestock exposure, especially in densely populated countries like the Netherlands. |
| Document Type: |
article in journal/newspaper |
| File Description: |
text/plain |
| Language: |
English |
| ISSN: |
2471-1403 |
| Relation: |
https://dspace.library.uu.nl/handle/1874/410459 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/410459 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.78BA1EF |
| Database: |
BASE |