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This study aimed to determine the prevalence of and factors associated with contraceptive use among school-going adolescents.

A cross-sectional study was conducted among vocational school students in Phitsanulok, Northern Thailand. The study employed a multistage random sampling technique to select 391 students from three schools that were purposively selected.

The prevalence of contraceptive use during the most recent sexual intercourse was 75.8%. The condom was the most commonly used contraceptive method, followed by emergency pills and the rhythm/calendar method. Being male, in the second academic year, sexual communication with parents, sex with a casual partner or sex worker and contraceptive use at sexual initiation were significant risk factors for contraceptive use (p < 0.05). The preventive factors were subdistrict municipality area residency, extended family, medium or high income and partners who drank (p < 0.05).

The authors found a high prevalence of contraceptive use among school-going adolescents. Maintaining and improving this trend would require a concerted effort from all stakeholders to promote early sexuality communication and ensure access and use of contraceptive services.

The intended nationally determined contributions (INDCs) is a major outcome of the Paris Agreement on international cooperation to reduce emissions, and is likely to be the future scenario for carbon emissions. This paper aims to obtain the fine spatial pattern of carbon emissions in 2030, identify hot spots and analyze changes of carbon emissions with a spatial grid method.

Based on the integrated quantified INDCs of each economy in 2030, the authors predict the population density pattern in 2030 by using the statistics of current population density, natural growth rates and differences in population growth resulting from urbanization within countries. Then the authors regard population density as a comprehensive socioeconomic indicator for the top-bottom allocation of the INDC data to a 0.1° × 0.1° grid. Then, the grid spatial pattern of carbon emissions in 2030 is compared with that in 2016.

Under the unconditional and conditional scenarios, the global carbon emission grid values in 2030 will be within [0, 59,200.911] ktCO₂ and [0, 51,800.942] ktCO_2, respectively; eastern China, northern India, Western Europe and North America will continue to be the major emitters; grid carbon emissions will increase in most parts of the world compared to 2016, especially in densely populated areas.

While many studies have explored the overall global carbon emissions or warming under the INDC scenario, attention to spatial details is also required to help us make better emissions attributions and policy decisions from the perspective of the grid unit rather than the administrative unit.