Virome in roof-harvested rainwater of a densely urbanized low-income region

Rainwater harvesting has been considered an affordable practice to supplement the conventional sources of water supply for potable and non-potable uses worldwide. This study characterizes the viral community found in roof-harvested rainwater (RHRW) samples obtained under different rain volumes in a densely urbanized low-income region in Rio de Janeiro, Brazil. Three pilot-scale standardized metal-sheet roofs (same catchment area, material age, and slope - 3%) were installed in the study area aiming at obtaining more reliable and representative samples. Fifty-four samples were collected from six rainfall events from January to April 2019 and concentrated by the skimmed-milk flocculation method. Pools of different rainfall volumes were submitted to high throughput sequencing using the shotgun metagenomic approach. Sequencing was performed on NextSeq platform. Genomic analysis of the virus community revealed that most are RNA non-human viruses, including two main families: Dicistroviridae and Iflaviridae, recognized for infecting arthropods. Bacteriophages were also relatively abundant, with a predominance of DNA phages belonging to Microviridae and Siphoviridae families, showing percentages from 5.3 and 3.7% of the total viral hits present in these samples, respectively. Viral genomic RNA viruses (77%) predominated over DNA viruses (23%). Concerning number of viral species identified, a higher percentage was observed for plant viruses (12 families, 58%). Hepatitis A virus and human klassevirus 1 were detected among the established human pathogens, suggesting the need for RHRW treatment before it is considered for human consumption. Australian bat lyssavirus was also detected, emphasizing the importance of environmental monitoring facing emerging viruses. The results corroborate the influence of the surrounding area on the rainwater quality.

Presence of microbial and chemical source tracking markers in roof-harvested rainwater and catchment systems for the detection of fecal contamination

Microbial source tracking (MST) and chemical source tracking (CST) markers were utilized to identify fecal contamination in harvested rainwater and gutter debris samples. Throughout the sampling period, Bacteroides HF183 was detected in 57.5 % of the tank water samples and 95 % of the gutter debris samples, while adenovirus was detected in 42.5 and 52.5 % of the tank water and gutter debris samples, respectively. Human adenovirus was then detected at levels ranging from below the detection limit to 316 and 1253 genome copies/μL in the tank water and debris samples, respectively. Results for the CST markers showed that salicylic acid (average 4.62 μg/L) was the most prevalent marker (100 %) in the gutter debris samples, caffeine (average 18.0 μg/L) was the most prevalent in the tank water samples (100 %) and acetaminophen was detected sporadically throughout the study period. Bacteroides HF183 and salicylic acid (95 %) and Bacteroides HF183 and caffeine (80 %) yielded high concurrence frequencies in the gutter debris samples. In addition, the highest concurrence frequency in the tank water samples was observed for Bacteroides HF183 and caffeine (60 %). The current study thus indicates that Bacteroides HF183, salicylic acid and caffeine may potentially be applied as source tracking markers in rainwater catchment systems in order to supplement fecal indicator analyses.

Human adenovirus spread, rainfalls, and the occurrence of gastroenteritis cases in a Brazilian basin

Climate variables may interfere with the environmental persistence and spread of pathogenic microorganisms. This study aimed to investigate the occurrence of human adenovirus (HAdV) and total and thermotolerant coliforms in treated and untreated water and report gastroenteritis cases in seven cities located in the hydrographic basin of the Sinos River (HBSR), Southern Brazil. The data on water quality from samples collected at catchment areas of HBSR from March to December 2011 were compared with precipitation records, virus detection rates and viral loads, and information on enteric diseases among residents of the region. There was a marked increase in precipitation intensity in April, July, and August and a decrease in May and November. The number of HAdV genome copies (gc) in untreated water ranged from 2.1×10(8) gc/L in June to 7.8×10(1) gc/L in December, and in treated water, from 6.3×10(4) gc/L in September to 4.1×10(1) gc/L in November. The most probable number (MPN) of total coliforms ranged from 5×10(1) MPN/100 mL in December to 2.4×10(5) MPN/100 mL in July, and thermotolerant coliforms ranged from 1×10(1) MPN/100 mL in August to 6.9×10(4) MPN/100 mL in July. A total of 79 hospital admissions due to gastroenteritis were registered in the cities studied. The results for coliforms in untreated water demonstrate deficits in sanitation and wastewater treatment. These findings also indicate a possible relationship between the occurrence of rainfalls after dry periods and an increase in the number of gastroenteritis cases and in HAdV load quantified in surface water collected for conventional potabilization.

Epidemiological aspects of influenza A related to climatic conditions during and after a pandemic period in the city of Salvador, Northeastern Brazil

During the influenza pandemic of 2009, the A(H1N1)pdm09, A/H3N2 seasonal and influenza B viruses were observed to be co-circulating with other respiratory viruses. To observe the epidemiological pattern of the influenza virus between May 2009-August 2011, 467 nasopharyngeal aspirates were collected from children less than five years of age in the city of Salvador. In addition, data on weather conditions were obtained. Indirect immunofluorescence, real-time transcription reverse polymerase chain reaction (RT-PCR), and sequencing assays were performed for influenza virus detection. Of all 467 samples, 34 (7%) specimens were positive for influenza A and of these, viral characterisation identified Flu A/H3N2 in 25/34 (74%) and A(H1N1)pdm09 in 9/34 (26%). Influenza B accounted for a small proportion (0.8%) and the other respiratory viruses for 27.2% (127/467). No deaths were registered and no pattern of seasonality or expected climatic conditions could be established. These observations are important for predicting the evolution of epidemics and in implementing future anti-pandemic measures.

Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia

Dengue fever is a recurring public health problem afflicting thousands of Malaysians annually. In this paper, the risk map for dengue fever in the peninsular Malaysian states of Selangor and Kuala Lumpur was modelled based on co-kriging and geographical information systems. Using population density and rainfall as the model's only input factors, the area with the highest risk for dengue infection was given as Gombak and Petaling, two districts located on opposite sides of Kuala Lumpur city that was also included in the risk assessment. Comparison of the modelled risk map with the dengue case dataset of 2010, obtained from the Ministry of Health of Malaysia, confirmed that the highest number of cases had been found in an area centred on Kuala Lumpur as predicted our risk profiling.

Threshold distances and depths of nucleopolyhedrovirus in soil for transport to cotton plants by wind and rain

Two aspects of abiotic transport of nucleopolyhedrovirus from soil to cotton plants were examined in greenhouse experiments: the distance from the plants and depth in soil from which the virus could be transported under controlled conditions of soil type and moisture, wind, and precipitation. Transport distance and depth were tested separately under relatively conducive (precipitation/sandy soil and wind/clay soil) and non-conducive (precipitation/clay soil and wind/sandy soil) conditions, as determined in previous research. The amount of virus transported by precipitation generally decreased as distance from the plant increased, but in wind the amounts of virus transported were best described by polynomial models, with transport efficiency usually peaking at a distance of 60 cm. Depending on plant height and tissue, the farthest distances that virus was transported ranged from 30 to 60 cm by precipitation from clay soil, 60-75 cm in precipitation/sand, 60-80 cm in wind/clay, and 60-80 cm in wind/sand. In the depth experiments, transport by precipitation and wind generally decreased as the depth of virus in soil increased. The greatest depth from which NPV was transported ranged from 0 to 0.5 cm by precipitation from clay soil, 0.5-1.0 cm in precipitation/sand, 1.0-2.0 cm in wind/clay, and 0.5-1.0 cm in wind/sand. All of the experimental parameters (distance or depth, soil type, plant height, plant tissue) and all two-way interactions significantly (P<0.05) affected transport in all four experiments, except for the "soilxplant tissue" interaction in the depth/wind experiment. In all of the experiments, transport was significantly greater (P<0.05) to lower than to upper portions of plants and to leaves than to buds and squares. Transport was significantly greater from sandy soil than from clay in precipitation, and it was greater from clay than from sandy soil in wind. The results will contribute to NPV epizootiology, microbial control, and risk assessment.

Achieving operational hydrologic monitoring of mosquitoborne disease

Mosquitoes and mosquitoborne disease transmission are sensitive to hydrologic variability. If local hydrologic conditions can be monitored or modeled at the scales at which these conditions affect the population dynamics of vector mosquitoes and the diseases they transmit, a means for monitoring or modeling mosquito populations and mosquitoborne disease transmission may be realized. We review how hydrologic conditions have been associated with mosquito abundances and mosquitoborne disease transmission and discuss the advantages of different measures of hydrologic variability. We propose that the useful application of any measure of hydrologic conditions requires additional consideration of the scales for both the hydrologic measurement and the vector control interventions that will be used to mitigate an outbreak of vectorborne disease. Our efforts to establish operational monitoring of St. Louis encephalitis virus and West Nile virus transmission in Florida are also reviewed.