Colombia Population: Armenia data was reported at 294.227 Person th in Apr 2019. This records an increase from the previous number of 294.103 Person th for Mar 2019. Colombia Population: Armenia data is updated monthly, averaging 285.128 Person th from Mar 2007 (Median) to Apr 2019, with 146 observations. The data reached an all-time high of 294.227 Person th in Apr 2019 and a record low of 275.702 Person th in Mar 2007. Colombia Population: Armenia data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.G005: Population: Household Survey.

Historical dataset of population level and growth rate for the Armenia, Colombia metro area from 1950 to 2025.

Colombia Working Age Population: Armenia data was reported at 242.067 Person th in Apr 2019. This records an increase from the previous number of 241.928 Person th for Mar 2019. Colombia Working Age Population: Armenia data is updated monthly, averaging 231.944 Person th from Mar 2007 (Median) to Apr 2019, with 146 observations. The data reached an all-time high of 242.067 Person th in Apr 2019 and a record low of 219.545 Person th in Mar 2007. Colombia Working Age Population: Armenia data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.G005: Population: Household Survey.

哥伦比亚 Population: Armenia在2019-04达294.227 Person th，相较于2019-03的294.103 Person th有所增长。哥伦比亚 Population: Armenia数据按月度更新，2007-03至2019-04期间平均值为285.128 Person th，共146份观测结果。该数据的历史最高值出现于2019-04，达294.227 Person th，而历史最低值则出现于2007-03，为275.702 Person th。CEIC提供的哥伦比亚 Population: Armenia数据处于定期更新的状态，数据来源于National Statistics Administrative Department，数据归类于Global Database的哥伦比亚 – Table CO.G005: Population: Household Survey。

哥伦比亚 Working Age Population: Armenia在2019-04达242.067 Person th，相较于2019-03的241.928 Person th有所增长。哥伦比亚 Working Age Population: Armenia数据按月度更新，2007-03至2019-04期间平均值为231.944 Person th，共146份观测结果。该数据的历史最高值出现于2019-04，达242.067 Person th，而历史最低值则出现于2007-03，为219.545 Person th。CEIC提供的哥伦比亚 Working Age Population: Armenia数据处于定期更新的状态，数据来源于National Statistics Administrative Department，数据归类于Global Database的哥伦比亚 – Table CO.G005: Population: Household Survey。

BackgroundA. aegypti production and human density may vary considerably in dengue endemic areas. Understanding how interactions between these factors influence the risk of transmission could improve the effectiveness of the allocation of vector control resources. To evaluate the combined impacts of variation in A. aegypti production and human density we integrated field data with simulation modeling. Methodology/Principal FindingsUsing data from seven censuses of A. aegypti pupae (2007–2009) and from demographic surveys, we developed an agent-based transmission model of the dengue transmission cycle across houses in 16 dengue-endemic urban ‘patches’ (1–3 city blocks each) of Armenia, Colombia. Our field data showed that 92% of pupae concentrated in only 5% of houses, defined as super-producers. Average secondary infections (R0) depended on infrequent, but highly explosive transmission events. These super-spreading events occurred almost exclusively when the introduced infectious person infected mosquitoes that were produced in super-productive containers. Increased human density favored R0, and when the likelihood of human introduction of virus was incorporated into risk, a strong interaction arose between vector production and human density. Simulated intervention of super-productive containers was substantially more effective in reducing dengue risk at higher human densities. Significance/ConclusionsThese results show significant interactions between human population density and the natural regulatory pattern of A. aegypti in the dynamics of dengue transmission. The large epidemiological significance of super-productive containers suggests that they have the potential to influence dengue viral adaptation to mosquitoes. Human population density plays a major role in dengue transmission, due to its potential impact on human-A. aegypti contact, both within a person's home and when visiting others. The large variation in population density within typical dengue endemic cities suggests that it should be a major consideration in dengue control policy.