Background: Blood donation practice in the Philippines is low despite numerous efforts to recruit potential donors and increase blood supply. Objectives: This study aimed to explore the sociodemographic profile of potential donors and their perceived level of knowledge, motivators, and hindrances on blood donation practice to recommend improvements in policies and strategies regarding blood donation recruitment. Methods: A descriptive study design was utilized to attain the objectives of the study. A piloted questionnaire was floated through various social media platforms to gather data. Data were analyzed using descriptive statistics and Pearson's product-moment correlation. Results: We included 260 Metro Manila residents, 18 to 65 years old and without conditions that merited permanent deferral in blood donation. Overall, the respondents had an adequate perceived level of knowledge (x̄ = 3.13, SD = 0.70) on blood donation but the lowest level of knowledge on the interval between successive blood donations (x̄ = 2.71, SD = 1.04). Furthermore, respondents were considerably motivated to donate blood (x̄ = 2.67, SD = 0.42) mainly due to relatives and friends requiring blood (x̄ = 3.73, SD = 0.60), and have minimal discernment of being discouraged from blood donation (x̄ = 2.09, SD = 0.48) mainly due to time constraints (x̄ = 3.23, SD = 0.78). Moreover, there is a significant but low inverse correlation (r = -0.151, p = 0.015) between age and motivation, suggesting younger individuals have more motivation to donate blood. Thus, policies and strategies that target young donors are highly suggested. Conclusion Poor blood donation practices in the Philippines suggest recalibration of policies and strategies by targeting young individuals and showcasing altruism to improve donor recruitment. Moreover, it is recommended to strategically establish blood service facilities in accessible areas with flexible operating hours to accommodate potential donors with hectic schedules.
blood donation ; Philippines

Objective: To correlate climatic and environmental factors such as land surface temperature, rainfall, humidity and normalized difference vegetation index with the incidence of dengue to develop prediction models for the Philippines using remote-sensing data. Methods: Time-series analysis was performed using dengue cases in four regions of the Philippines and monthly climatic variables extracted from Global Satellite Mapping of Precipitation for rainfall, and MODIS for the land surface temperature and normalized difference vegetation index from 2008-2015. Consistent dataset during the period of study was utilized in Autoregressive Integrated Moving Average models to predict dengue incidence in the four regions being studied. Results: The best-fitting models were selected to characterize the relationship between dengue incidence and climate variables. The predicted cases of dengue for January to December 2015 period fitted well with the actual dengue cases of the same timeframe. It also showed significantly good linear regression with a square of correlation of 0.869 5 for the four regions combined. Conclusion: Climatic and environmental variables are positively associated with dengue incidence and suit best as predictor factors using Autoregressive Integrated Moving Average models. This finding could be a meaningful tool in developing an early warning model based on weather forecasts to deliver effective public health prevention and mitigation programs.