METHODS: The spatial dependence of district-wise incidence rates is investigated using spatial autocorrelation analysis with two orders of contiguity weights for various pandemic waves. Nine determinants are chosen from 14 covariates of socio-demographic factors via elastic net regression and recursive partitioning. The relationships between incidence rates and socio-demographic factors are examined using ordinary least squares, spatial lag and spatial error models, and geographically weighted regression.

RESULTS: In the first 8 months of 2021, COVID-19 severely affected Sarawak's central region, which was followed by the southern region in the next 2 months. In the third wave, based on second-order spatial weights, the incidence rate in a district is most strongly influenced by its neighboring districts' rate, although the variance of incidence rates is best explained by local regression coefficient estimates of socio-demographic factors in the first wave. It is discovered that the percentage of households with garbage collection facilities, population density and the proportion of male in the population are positively associated with the increase in COVID-19 incidence rates.

METHODS: The scale development involved three phases: i) generation of domains based on the literature, ii) generation of sub-domains based on literature review and Islamic panel survey, and iii) generation of items.

RESULTS: Preliminary version of IPM3P consists of 59 items was produced, representing three domains: Obligation (18 items), Practice (21 items), and Difficulty (20 items), and seven sub-domains ('Ibadah', 'Aqidah', 'Muamalat', 'Tasawwuf', 'Akhlak','Da'wah', and 'Sirah').