Fig 1.
Map of the Philippines and the study regions.
The Philippines is geographically divided into 87 provinces, with the capital city Manila located in the northern National Capital Region (NCR). Twelve southern provinces of the Mindanao geographic region where datasets were complete for the period 2013–2018 were included in our study, colour-coded on left. Inset, on right: the 65 areas within those provinces that were included in our study are indicated in green (comprising 14 cities and 51 municipalities). Provincial boundaries are marked by thick borders. Map data derived from the Humanitarian Data Exchange (https://data.humdata.org/)".
Fig 2.
Temporal pattern of house surveys across the southern Philippines, 2013–2018.
The monthly trend in number of houses surveyed for mosquito larvae across the southern Philippines during the 6-year period. Surveys varied in number and location each month depending on the number and duration of dengue outbreaks reported, with a total of 714 surveys conducted across the 563 villages of the 65 cities/municipalities in 49/69 months between Feb 2013 and Oct 2018.
Table 1.
Summary of inspections conducted and their findings during the 6-year period: 2013–2018.
Fig 3.
Temporal trend in vector indices, 2013–2018.
Monthly averages per city are shown for each vector index across the 49 months surveyed: a) House Index, b) Container Index, c) Breteau Index and d) Pupal Productivity Index.
Fig 4.
Monthly trend in vector indices across city/ municipality areas, 2013–2018.
Monthly averages of a) House Index, b) Container Index, c) Breteau Index and d) Pupal Productivity Index are shown for all areas where data was collected between 2013 and 2018. Month numbers 1–12 on the x axis correspond to the months January-December.
Fig 5.
Spatial pattern of vector surveillance indices across the southern Philippines, 2013–2018.
Mean monthly values for four vector surveillance indices are shown across 65 areas of the southern Philippines for the 6-year period. a) House Index, b) Container Index, c) Breteau Index and d) Pupal Productivity Index. The relative breeding intensity are shown by graduated colours. Areas not surveyed are indicated in white. Map data derived from the Humanitarian Data Exchange (https://data.humdata.org/)".
Fig 6.
Relationship between vector density indices and climate variables, 2013–2018.
Monthly values for each Aedes vector index: House Index (HI), Container Index (CI), Breteau Index (BI) and Pupal Productivity Index (PPI) were correlated with monthly precipitation, monthly minimum temperature (min. temp.) and monthly maximum temperature (max. temp.) across the 65 areas.