Sentence examples for between different epidemiological settings from inspiring English sources

Environmental drivers of disease transmission and infection vary between different epidemiological settings (e.g. agricultural areas, urban slums, tropical islands), and include climate, land use, international trade, animal reservoirs, agricultural practices, as well as socioeconomic and cultural factors [ 2– 5].

It is hypothesized that if there was a difference in local perceptions of mosquitoes, malaria, ITNs/LLINs and the practice of preventive measures among households, malaria infections and associated factors would vary between different epidemiological settings in Prachuap Khiri Khan.

Furthermore, this work identifies the sampling resolution of the TAS design as a critical factor influencing its performance and suggests a need for further work to quantify the relationship between the spatial resolution of surveillance data in different epidemiological settings and the performance of survey designs.

It will be important to see the results of the larger trial and the effectiveness of the vaccine in different epidemiological settings.

Among children admitted to hospital in sub-Saharan Africa the prevalence of severe anaemia ranged from 7% to 29% in different epidemiological settings [1] [6].

In this study we have investigated the impact of infection with multiple species of Plasmodium, on the clinical manifestations of malaria in different epidemiological settings.

Nevertheless, some uncertainty about the precise mode of action of IPTi remains, in particular, the relative importance of clearing existing parasitaemia compared to post-treatment prophylaxis against new infections is not certain, and may vary in different epidemiological settings [12].

Very few studies have evaluated a rapid test in different epidemiological settings.

This in turn may confer varying degrees of fitness in different epidemiological settings.

Limits and assumptions of the model are clearly identified so it can be improved for different epidemiological settings.

To inform the choice of an appropriate screening and diagnostic algorithm for tuberculosis (TB) screening initiatives in different epidemiological settings, we compare algorithms composed of currently available methods.