| Literature DB >> 29540186 |
Filomena E C de Alencar1, Rosely Dos Santos Malafronte2, Crispim Cerutti Junior3, Lícia Natal Fernandes2, Julyana Cerqueira Buery3, Blima Fux3, Helder Ricas Rezende4, Ana Maria Ribeiro de Castro Duarte5, Antonio Ralph Medeiros-Sousa6, Angelica Espinosa Miranda3.
Abstract
BACKGROUND: The hypotheses put forward to explain the malaria transmission cycle in extra-Amazonian Brazil, an area of very low malaria incidence, are based on either a zoonotic scenario involving simian malaria, or a scenario in which asymptomatic carriers play an important role.Entities:
Keywords: Asymptomatic carrier; Malaria; PCR; Plasmodium malariae; Plasmodium vivax
Mesh:
Substances:
Year: 2018 PMID: 29540186 PMCID: PMC5853114 DOI: 10.1186/s12936-018-2263-z
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map showing the study area in Espírito Santo, Brazil
Characteristics of the cohort of 92 individuals living in an area of the Atlantic Forest with residual malaria who were assessed at 3-month intervals between March 2010 and December 2011
| Characteristic | Median (IQR) | Frequency | Percentage |
|---|---|---|---|
| Age (years) | 32 (14.2–54.7) | – | – |
| Gender | |||
| Male | – | 49 | 53.3 |
| Female | – | 43 | 46.7 |
| Place of birth | |||
| Same municipality | – | 47 | 51.1 |
| Other state | – | 20 | 21.7 |
| Other municipality without malaria | – | 16 | 17.4 |
| Other municipality with malaria | – | 8 | 8.7 |
| Other country | – | 1 | 1.1 |
| Occupations classified in terms of their relationship with rural areas | |||
| Agricultural | – | 51 | 55.4 |
| Non-agricultural and unrelated | – | 28 | 30.4 |
| Non-agricultural but related | – | 13 | 14.1 |
| Incursion into the forest in the previous 2 months | |||
| Yes | – | 43 | 46.7 |
| No | – | 49 | 53.3 |
IQR Interquartile range
Results of the 3-monthly assessments between March 2010 and December 2011 for the PCR-positive individuals among 92 study participants living in an area of the Atlantic Forest with residual malaria
| Individual (no.) | Assessment | |||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
| 33 | PM/PV | PM | – | PM | – | PM | PM | PM |
| 38 | – | – | – | PV | A | – | – | – |
| 56 | – | PV | – | PV | – | – | – | – |
| 69 | PM | – | – | – | – | – | – | – |
| 71 | PV | – | – | – | PM | – | PM | – |
| 84 | – | PM | PM | – | – | PM | – | – |
PM P. malariae, PV P. vivax, − negative result, A absent
Parameters used to calculate R0 for the mathematical model
| Parameter | Estimate | Basis for the estimate |
|---|---|---|
| N | 15 inhabitants/km2 | Value obtained by dividing the rural population in 2010 by the area of the municipality based on Brazilian Institute of Geography and Statistics (IBGE) figures [ |
| M | 10,815 specimens/km2 | Value obtained from entomological studies carried out in the area [ |
| μ | 0.68 | Bona and Navarro-Silva [ |
| TMH | 0.022 | Chitnis et al. [ |
| THM | 0.24 | Chitnis et al. [ |
| γ | 0.0055 (180 days) | Value obtained from the observed frequency of asymptomatic individuals and the results reported by Chitnis et al. [ |
|
| 0.5 | Santos [ |
|
| 10 days | Chitnis et al. 2008 [ |
| p | 8 days | Santos [ |
N Estimated population size, M Abundance of An. cruzii, µ Mortality rate of A. cruzii, T Probability of transmission of Plasmodium from An. cruzii to humans, T Probability of transmission of Plasmodium from humans to A. cruzii, γ Human recovery rate, b Average An. cruzii daily biting rate, q Incubation period for P. vivax in humans, p Extrinsic incubation period for P. vivax
Fig. 2Schematic representation of the basic reproductive rate (R0) for the study region estimated using the mathematical model proposed by Anderson and May [51] (filled diamond). Only factors related to the vector are taken into account. The solid line represents the threshold for R0 = 1. The dashed line indicates how much the vector population should increase to reach this threshold