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1.
Mem. Inst. Oswaldo Cruz ; 116: e210064, 2021. graf
Article in English | LILACS | ID: biblio-1279459

ABSTRACT

Unforeseen Plasmodium infections in the Atlantic Forest of Brazilian Extra-Amazonian region could jeopardise malaria elimination. A human malaria case was registered in Três Forquilhas, in the Atlantic Forest biome of Rio Grande do Sul, after a 45 years' time-lapsed without any malaria autochthonous notification in this southern Brazilian state. This finding represents the expansion of the malaria distribution areas in Brazil and the southernmost human malaria case record in South America in this decade. The coexistence of the bromeliad-breeding vector Anopheles (Kerteszia) cruzii and non-human primates in the Atlantic Forest regularly visited by the patient claimed for the zoonotic origin of this infection. The reemergence of Atlantic Forest human malaria in Rio Grande do Sul was also discussed.


Subject(s)
Animals , Malaria/epidemiology , Anopheles , Brazil/epidemiology , Forests , Mosquito Vectors
2.
Mem. Inst. Oswaldo Cruz ; 115: e200218, 2020. tab, graf
Article in English | LILACS, SES-SP | ID: biblio-1135274

ABSTRACT

BACKGROUND Southeast Brazil has recently experienced a Yellow Fever virus (YFV) outbreak where the mosquito Haemagogus leucocelaenus was a primary vector. Climatic factors influence the abundance of mosquito vectors and arbovirus transmission. OBJECTIVES We aimed at describing the population dynamics of Hg. leucocelaenus in a county touched by the recent YFV outbreak. METHODS Fortnightly egg collections with ovitraps were performed from November 2012 to February 2017 in a forest in Nova Iguaçu, Rio de Janeiro, Brazil. The effects of mean temperature and rainfall on the Hg. leucocelaenus population dynamics were explored. FINDINGS Hg. leucocelaenus eggs were continuously collected throughout the study, with a peak in the warmer months (December-March). The climatic variables had a time-lagged effect and four weeks before sampling was the best predictor for the positivity of ovitraps and total number of eggs collected. The probability of finding > 50% positive ovitraps increased when the mean temperature was above 24ºC. The number of Hg. leucocelaenus eggs expressively increase when the mean temperature and accumulated precipitation surpassed 27ºC and 100 mm, respectively, although the effect of rainfall was less pronounced. MAIN CONCLUSIONS Monitoring population dynamics of Hg. leucocelaenus and climatic factors in YFV risk areas, especially mean temperature, may assist in developing climate-based surveillance procedures to timely strengthening prophylaxis and control.


Subject(s)
Animals , Yellow Fever , Yellow fever virus/isolation & purification , Forests , Population Dynamics , Insect Vectors/virology , Culicidae/virology , Seasons , Temperature , Yellow fever virus/genetics , Brazil , Insect Vectors/classification , Culicidae/classification
3.
Mem. Inst. Oswaldo Cruz ; 112(6): 447-451, June 2017. graf
Article in English | LILACS | ID: biblio-1040570

ABSTRACT

The current yellow fever outbreak in Brazil is the most severe one in the country in recent times. It has rapidly spread to areas where YF virus (YFV) activity has not been observed for more than 70 years and vaccine coverage is almost null. Here, we sequenced the whole YFV genome of two naturally infected howler-monkeys (Alouatta clamitans) obtained from the Municipality of Domingos Martins, state of Espírito Santo, Brazil. These two ongoing-outbreak genome sequences are identical. They clustered in the 1E sub-clade (South America genotype I) along with the Brazilian and Venezuelan strains recently characterised from infections in humans and non-human primates that have been described in the last 20 years. However, we detected eight unique amino acid changes in the viral proteins, including the structural capsid protein (one change), and the components of the viral replicase complex, the NS3 (two changes) and NS5 (five changes) proteins, that could impact the capacity of viral infection in vertebrate and/or invertebrate hosts and spreading of the ongoing outbreak.


Subject(s)
Animals , Polymorphism, Genetic/genetics , Yellow Fever/veterinary , Yellow fever virus/genetics , Genome, Viral/genetics , Alouatta/virology , Monkey Diseases/virology , Phylogeny , Yellow Fever/epidemiology , Yellow Fever/virology , Brazil/epidemiology , Disease Outbreaks , Sequence Alignment , Amino Acid Sequence , Genotype , Monkey Diseases/epidemiology
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