Improved measles surveillance in Cameroon reveals two major dynamic patterns of incidence

Objective: To characterize the province-specific incidence patterns of measles in Cameroon and determine if an increase in measles incidence during the period January 2000-June 2001 is consistent with coincident epidemics in several regions with different inter-epidemic periods. Method: Periodic behavior of the monthly measles incidence time-series from each province of Cameroon was analyzed using time-series analysis and cluster techniques. Cumulative incidence in each province of Cameroon over a five-year period was associated with birth rates, and vaccination coverage. Results: Distinct patterns of measles incidence were found in two different areas of Cameroon. The three northern-most provinces experience major epidemics every year. Seven southern provinces show evidence of experiencing major epidemics every third year. In January 2000, Cameroon experienced coincident peaks in these two cycles and thus an increase in measles incidence countrywide over the previous year. Higher cumulative province-specific incidence rates were associated with higher birth rates and lower routine vaccination coverage rates. Conclusion: Within one country, two dramatically different dynamic patterns of measles incidence were observed. Long-term surveillance data is crucial to the evaluation of measles immunization campaigns. The availability of a five-year record of measles incidence in Cameroon reveals an interesting dynamic pattern of measles incidence that accounts for the increase in countrywide incidence in 2000-2001. © 2005 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved

Genomic epidemiology reveals multiple introductions of Zika virus into the United States

Zika virus (ZIKV) is causing an unprecedented epidemic linked to severe congenital abnormalities. In July 2016, mosquito-borne ZIKV transmission was reported in the continental United States; since then, hundreds of locally acquired infections have been reported in Florida. To gain insights into the timing, source, and likely route(s) of ZIKV introduction, we tracked the virus from its first detection in Florida by sequencing ZIKV genomes from infected patients and Aedes aegypti mosquitoes. We show that at least 4 introductions, but potentially as many as 40, contributed to the outbreak in Florida and that local transmission is likely to have started in the spring of 2016-several months before its initial detection. By analysing surveillance and genetic data, we show that ZIKV moved among transmission zones in Miami. Our analyses show that most introductions were linked to the Caribbean, a finding corroborated by the high incidence rates and traffic volumes from the region into the Miami area. Our study provides an understanding of how ZIKV initiates transmission in new regions

Genomic epidemiology reveals multiple introductions of Zika virus into the United States

Zika virus (ZIKV) is causing an unprecedented epidemic linked to severe congenital abnormalities. In July 2016, mosquito-borne ZIKV transmission was reported in the continental United States; since then, hundreds of locally acquired infections have been reported in Florida. To gain insights into the timing, source, and likely route(s) of ZIKV introduction, we tracked the virus from its first detection in Florida by sequencing ZIKV genomes from infected patients and Aedes aegypti mosquitoes. We show that at least 4 introductions, but potentially as many as 40, contributed to the outbreak in Florida and that local transmission is likely to have started in the spring of 2016-several months before its initial detection. By analysing surveillance and genetic data, we show that ZIKV moved among transmission zones in Miami. Our analyses show that most introductions were linked to the Caribbean, a finding corroborated by the high incidence rates and traffic volumes from the region into the Miami area. Our study provides an understanding of how ZIKV initiates transmission in new regions