Open AccessOverview of Brazilian Malaria Incidence from Environmental, Economic and Spatial Factors in the Amazon and Extra Amazon Region
Author(s) -
Marcus Vinicius Carvalho Rodrigues,
Isabela Soares De Souza,
Letícia Martins Veras Costa,
José Coelho Da Silva Neto,
Sarah Amorim Leão,
Bruna Da Silva Coelho,
Leydinária Pereira da Silva,
Ricardo Moreira Milhomem,
Karla Cristina Assis Silva,
Patricia Midom Di Napoli Oliveira,
Mariana Carvalho Rodrigues,
Pillar Barros Véras,
Bruno Henrique Di Napoli Nunes
Publication year - 2022
Publication title -
international journal of tropical disease and health
Language(s) - English
Resource type - Journals
ISSN - 2278-1005
DOI - 10.9734/ijtdh/2022/v43i830605
Subject(s) - malaria , amazon rainforest , poverty , geography , climate change , socioeconomics , socioeconomic status , anopheles , vector (molecular biology) , population , public health , environmental health , ecology , biology , economic growth , medicine , economics , recombinant dna , biochemistry , nursing , gene , immunology
Malaria is caused by the protozoan Plasmodium and its infection can occur in several ways, being the most common through the bite of the female mosquito Anopheles darlingi. The life cycle of the vector is related to the dynamics of the ecosystem, situations such as global warming generate a great concern regarding the possible amplification of the reproduction capacity of vectors according to climate change. These diseases are much more frequent in regions where the climate is tropical, such as Brazil. The incidence of the vector is characterized by several factors, such as biological, ecological, sociopolitical, cultural, and economic factors, the latter influence health expenditures in Brazil regarding the preventive measures of infection. The economic impact includes expenses with any health care, lost service days, loss of classes in the education system, as well as lower income at work due to brain injuries, among others. Malaria breeds poverty and poverty breeds Malaria. Through the Factorial Planning method: A brief review, data were collected in all Brazilian regions affected by the disease. The research strategy consisted of the use of the keywords in English: 1. Climate Change in Brazil; 2. Anopheles Darlingi vector life cycle; 3. Impact of climate change on the life cycle of Anopheles Darlingi; 4. Sensitive socioeconomic factors. Finally, this set of data suggests that public health programs act strategically in the population conjuncture, on the fronts of prevention, diagnosis, and treatment of the disease.