Data management and analysis
DENGUE FEVER
Descriptive analyse and double data entry was practiced (to minimize data entry errors) into a database using Microsoft Office Excel software by an assistant and supervised by the research team. The analysis was done using SPSS software version 28.0.1.1 (15).Socio-demographic data were entered in a database. We assessed the frequency of variables potentially associated with the outcomes of recent dengue virus infection (sex, age, educational level, peoples` mobility) and self-reported dengue fever in household members. Persons’ Chi-square test (χ2) was applied to determine the differences between population characteristics and DZC self-reported cases, and peoples` mobility across all settings. All statistical analyses were performed at a 0.05 significance level.Entomological indices were analysed per cluster and overall to show the presence, distribution and abundance of House index (HI): Percentage of houses infested with larvae and/or pupae.Container index (CI): Percentage of water-holding containers infested with larvae or pupae.Breteau index (BI): Number of positive containers per 100 houses inspected.Pupae per person (PPI): Number of pupae per person in each household.To estimate the pupal count for large container (more than 20 L) the methodology by Romero-Vivas [