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1.
Malar J ; 17(1): 259, 2018 Jul 11.
Article in English | MEDLINE | ID: mdl-29996835

ABSTRACT

BACKGROUND: Malaria claims hundreds of thousands of lives each year, most of them children. A "malaria-free world" is the World Health Organization's vision, but elimination from the southeast Asian Region is hampered by factors including anti-malarial resistance and systematic underreporting. Malaria is a significant public health problem in Bangladesh and while there have been recent gains in control, there is large spatial and temporal heterogeneity in the disease burden. This study aims to determine the pattern and stability of malaria hotspots in Bangladesh with the end goal of informing intervention planning for elimination. RESULTS: Malaria in Bangladesh exhibited highly seasonal, hypoendemic transmission in geographic hotspots, which remained conserved over time. The southeast areas of the Chittagong Hill Tracts were identified as malaria hotspots for all 4 years examined. Similarly, areas in Sunamganj and Netrakona districts in the Northeast were hotspots for 2013-2016. Highly stable hotspots from 1 year predicted the following year's hotspot locations in the southeast of Bangladesh. Hotspots did not appear to act as sources of spread with no evidence of consistent patterns of contiguous spread or recession of hotspots as high or low transmission seasons progressed. CONCLUSIONS: Areas were identified with temporal and spatial clustering of high malaria incidence in Bangladesh. Further studies are required to understand the vector, sociodemographic and disease dynamics within these hotspots. Given the low caseloads occurring in the low transmission seasons, and the conserved nature of malaria hotspots, directing resources towards these areas may be an efficient way to achieve malaria elimination in Bangladesh.


Subject(s)
Endemic Diseases/statistics & numerical data , Malaria, Falciparum/epidemiology , Malaria, Falciparum/transmission , Bangladesh/epidemiology , Epidemiological Monitoring , Humans , Incidence , Seasons
2.
Genome Biol ; 16: 74, 2015 Apr 12.
Article in English | MEDLINE | ID: mdl-25886262

ABSTRACT

BACKGROUND: Approximately 8% of the human genome consists of sequences of retroviral origin, a result of ancestral infections of the germ line over millions of years of evolution. The most recent of these infections is attributed to members of the human endogenous retrovirus type-K (HERV-K) (HML-2) family. We recently reported that a previously undetected, large group of HERV-K (HML-2) proviruses, which are descendants of the ancestral K111 infection, are spread throughout human centromeres. RESULTS: Studying the genomes of certain cell lines and the DNA of healthy individuals that seemingly lack K111, we discover new HERV-K (HML-2) members hidden in pericentromeres of several human chromosomes. All are related through a common ancestor, termed K222, which is a virus that infected the germ line approximately 25 million years ago. K222 exists as a single copy in the genomes of baboons and high order primates, but not New World monkeys, suggesting that progenitor K222 infected the primate germ line after the split between New and Old World monkeys. K222 exists in modern humans at multiple loci spread across the pericentromeres of nine chromosomes, indicating it was amplified during the evolution of modern humans. CONCLUSIONS: Copying of K222 may have occurred through recombination of the pericentromeres of different chromosomes during human evolution. Evidence of recombination between K111 and K222 suggests that these retroviral sequences have been templates for frequent cross-over events during the process of centromere recombination in humans.


Subject(s)
Centromere/virology , DNA, Viral/isolation & purification , Endogenous Retroviruses/genetics , Evolution, Molecular , Base Sequence , Centromere/genetics , Chromosomes, Human/genetics , Chromosomes, Human/virology , Computational Biology , DNA Primers , DNA, Viral/genetics , Endogenous Retroviruses/classification , Endogenous Retroviruses/isolation & purification , Genome, Human , High-Throughput Nucleotide Sequencing , Humans , Molecular Sequence Data , Sequence Alignment , Sequence Analysis, DNA
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