Risk Factors for Placental Malaria, Sulfadoxine-pyrimethamine Doses, and Birth Outcomes in a Rural to Urban Prospective Cohort Study on the Bandiagara Escarpment and Bamako, Mali

BackgroundMalaria in Mali remains a primary cause of morbidity and mortality, with women at high risk during pregnancy for placental malaria (PM). We evaluated risk for PM and its association with birth outcomes in a rural to urban longitudinal cohort on the Bandiagara Escarpment and the District of Bamako. MethodsWe collected placental samples (N = 317) from 249 mothers who were participants in our longitudinal cohort study. A placental pathologist and research assistant evaluated the samples by histology in blinded fashion to assess PM infection stage and parasite density. We used generalized estimating equations (GEE) to model the odds of PM infection.ResultsPregnancies in Bamako, beyond secondary education, births in the rainy season (instead of the hot dry season), births in later years of the study, and births to women who had > 3 doses of sulfadoxine-pyrimethamine (SP) instead of no doses of SP were associated with reduced odds of experiencing PM (active and past infections combined). We found improved birth outcomes (+ 285 g birth weight, + 2 cm birth length, + 75 g placental weight) for women who had > 3 doses of SP compared to no doses, but did not detect a difference in birth weight or length for women who had 2 instead of > 3 SP doses. However, at 2 instead of > 3 doses placentas were 36 g lighter and the odds of low birth weight (< 2500 g) were 14% higher. Severe parasite densities were significantly associated with decreases in birth weight, birth length, and placental weight, as were chronic PM infections. The women who received no SP during pregnancy (7% of the study total) were younger and lacked primary school education. The women who received ≥ 3 doses of SP came from more affluent families.ConclusionsWomen who received no doses of SP during pregnancy experienced the most disadvantageous birth outcomes in both Bamako and on the Bandiagara Escarpment. Such women tended to be younger and to have had no primary school education. Targeting such women for antenatal care, which is the setting at which SP is most commonly administered in Mali, will have a more positive impact on public health than focusing on the increment from two to three doses of SP.

Analysis of Urban Surface Temperature Using Remote Sensing and Geographic Information System (GIS)

The study analysed variation in surface temperature (ST) in Makurdi Urban Area (MUA), Northcentral Nigeria. A total of 12 Landsat TM/ETM+ images were acquired in January, April and June of 1991, 1996, 2001 and 2006. The ST was estimated from the 12 Landsat TM/ETM+ images, grouped into seven classes, and the area of each ST class was determined using remote sensing and Geographic Information System (GIS). The ST magnitudes vary spatially from 27.5oC (water bodies) to 50.7oC (built-up land), representing an intensity of 23.2oC. The mean seasonal ST varies from 32.4oC-34.5oC (cool-dry season), 35.5oC-38.8oC (hot-dry season) and 30.8oC-31.4oC (hot-wet season). The mean annual ST has increased from 32.9oC (1991) to 35.9oC (2006) with ST intensity of 3.0oC. The ST classes of 27oC-29oC and 33oC-37oC recorded the highest loss and gain in area of -126.5km2 and 94.5km2 whereas ST classes of 29oC-33oC and 41oC-45oC recorded the least and highest per centage change in area of 22% and 768%. The result showed decreasing and increasing trends in the areas of cooler and warmer surfaces, which are attributed to increase in anthropogen surface materials, with higher heat storage capacities, due to urbanisation.

Effect of Temperature on the Incidence of Cerebro-Spinal Meningitis and Its Management in Funtua Local Government Area, Katsina State, Nigeria

This study was aimed at analysing the effect of temperature on the incidence of cerebro-spinal meningitis and its management in Funtua General Hospital of Katsina State, Nigeria from 1986-2015. For each year, monthly and annual incidence of CSM occurrence in the study area for the 30 years period was subjected to time series analysis. Linear trend line equation was fitted in order to determine the direction of change in the incidence of CSM. The relationship between temperature and the incidence of meningitis was analysed using simple correlation. To determine the management method of CSM in the area, a questionnaire was used to generate information from sampled respondents and analysed using descriptive statistics. The monthly distribution of CSM cases (1986-2015) indicated April and March had the highest incidence cases (1606 and 1128 respectively) while the lowest cases were recorded in September and October with (1 case) each. The seasonal variation also showed that the highest incidence cases fell within the hot-dry season which mark the period with the highest average temperatures while the lowest incidence cases fell within the hot-wet season when humidity is high in the area. Annual trend of CSM indicated an increasing trend (approximately 60 persons) over the 30year period in the study area. There is a significant and positive relationship between mean monthly temperature and incidence of meningitis with an observed value of (p < 0.05 and r = 0.592). The observed correlation (r = -0.141, p>0.05) indicated that there was negative and insignificant relationship between annual temperature and the incidence of meningitis in the study area. In conclusion, meningitis in the study area over the 30years under review has been a recurrent epidemic however; the rate of occurrence differs from year to year. Majority (78%) used the orthodox method to manage CSM while 22% used the traditional method who claimed it was effective as they recovered from the disease.

Influence of season on herd size and birth rate of small-holder goats in the Southern Guinea Savanna

The study aimed to evaluate the influence of season on herd size and the birth rate of goats in Southern Guinea Savanna, Nigeria. The study was carried out in Idah, Kogi State, Nigeria. A total of 54 households from 6 villages were used for the evaluation. Structured questionnaires on the socio-economic characteristics of the goat owners were administered. Data on the reproductive performance of goats were collected by visual appraisal. The data collected were on herd size, sex, number of pregnant goats, lactating goats and newly weaned kids. The result showed that more women (63.6%) were involved in goat rearing than males (36.4%), and about 91.6% of the respondents had a herd size of 1-20 goats, while only 8.4% had a herd size of 21-30. The goat herd distribution showed that the average herd size was 16.5goats, within the range of 7 to 30 goats. The herd structure was 391 females and 184 males. Three breeds of goats were identified, the West African Dwarf (WAD) goats being the dominant (397), followed by Maradi (Red Sokoto) breed (113), and the least was Pygmy breed (75). Season significantly influenced pregnancy and the number of lactating goats. There were more lactating goats during the cold-wet period and more pregnant goats during the hot-dry season. It was concluded that goat production is still at the peasant level, and goats were kept as a supplementary source of income. The conception rate was high during the cold-dry season, which was manifested in the hot-dry season. More awareness is still needed to increase the production of goats in the area. We recommend a reproduction program should be targeted during the cold-dry season where the conception rate is high.

Predictive Analytics of Cattle Host and Environmental and Micro-Climate Factors for Tick Distribution and Abundance at the Livestock–Wildlife Interface in the Lower Okavango Delta of Botswana

Tick distribution and abundance is influenced by several factors that include micro-climate and environmental and host factors. Contextual understanding of the role played by these factors is critical to guide control measures. The aim of this study was to determine the predictive value of these factors for changes in tick distribution and abundance at the livestock–wildlife interface of the lower Okavango Delta. A two-stage quota sampling design was adopted to select 30 clusters of seven cattle each for tick investigation. Tick investigation was done by lifting the tail to count the total number of ticks at the anno-vulva region during the four meteorological seasons of the year. Additional data were collected on ear tag number, location of origin, sex, age, body condition score (BCS), season of the year, stocking density, and Normalized Difference Vegetation Index values of source terrain. A random effects model was used to evaluate predictive value of the above for tick abundance. Additional mapping of tick distribution pattern in the abattoir catchment area was conducted using spatial autocorrelation and hot-spot analysis. Tick intensity of infection increased linearly from males to females (Z = 3.84, p &lt; 0.001), decreased linearly from lower to higher BCS (Z = −4.11, p &lt; 0.001), and increased linearly from cold-dry through dry to wet seasons (Z = 10.19, p &lt; 0.001). Significant clustering of neighboring crushes on account of tick count was noted in the late-hot-dry season, with high tick count in crushes located along the seasonal flood plains and low tick counts in those located in the dry grasslands. It was concluded from this study that cattle tick abundance is influenced largely by season of the year and that the micro-climatic conditions brought about by the seasonal flooding of the delta have a decided effect on tick distribution during the driest of the seasons. Our study has, for the first time, profiled drivers of tick distribution and population growth in this unique ecosystem. This has the potential to benefit human and veterinary public health in the area through implementation of sustainable tick control strategies that are not heavily reliant on acaricides.

Hen-Day Egg Production and Qualitative Egg Indices in Laying Hens Administered with Lycopene and Vitamin E During the Hot-Dry Season

The aim of the study was to evaluate the ameliorative effects of lycopene and vitamin E, administered individually and in combination, on laying hens during the hot-dry season. The dry-and wet-bulb temperature were recorded daily from 06:00–18:00 h during the 5-week experimental period. Daily and weekly hen-day egg productions, egg weight, eggshell thickness and eggshell weight were determined using standard procedures. The dry-bulb temperature (23.0°C – 39.0°C) and temperature - heat index (24.4°C − 35.0°C) recorded show that the hens were subjected to heat stress during the season. Egg production in the laying hens in lycopene (62.4 ± 1.1 %), vitamin E (62.1 ± 1.2%) and lycopene + vitamin E (62.7 ± 1.0 %) groups were higher (P < 0.05) than in controls (56.0 ± 0.8%). Eggshell was thickest in lycopene + vitamin E group (0.28 ± 0.02 mm), compared to lycopene (0.23 ± 0.02 mm) and vitamin E group (0.22 ± 0.02 mm). The thickness was lowest (P < 0.05) in control hens (0.18 ± 0.02 mm), compared to any other group. Similarly, control laying hens recorded the least (P < 0.05) in eggshell weight (6.7 ± 0.02 g), compared to the weights recorded in lycopene + vitamin E, lycopene and vitamin E groups (7.3 ± 0.24 g, 7.3 ± 0.3 g and 7.2 ± 0.3 g, respectively). In conclusion, lycopene and vitamin E ameliorated the risk of adverse effects of heat stress by increasing hen-day production, eggshell weight and eggshell thickness during the hot-dry season.

GENETIC DIVERSITY OF BROILER CHICKEN BRANDS RAISED IN ARID AND SEMI-ARID ZONES OF NORTHERN NIGERIA USING MITOCHONDRIAL DNA

A sector of broiler production is growing very fast to meet the high demand of meat in Nigeria. However, high mortality rates among the broilers especially during the hot dry season in arid and semi-arid zones is worrisome. There is a need for molecular genetics study that could aid in management, conservation and sustainable exploitation of this species. To evaluate the genetic diversity of broilers raised in these regions, a total of forty-six broilers were randomly sampled from eight different brands (Agrited, Amo, Chi, Fol-hope, Obasanjo, Olam, Yammfy and Zatech) for mitochondrial DNA analysis. Four haplotypes were detected among all the samples used that belong to the four strains. The sequences of mitochondrial regions revealed high haplotype diversity (0.78600) and low nucleotide diversity (0.00286). Lower genetic diversity observed may increase the chances of rapid disease infection and distribution during any disease outbreak. Introduction of new strains of broilers with high genetic diversity is highly recommended. Future study should be conducted on the performance of these strains during the extremely hot temperature period in arid and semi-arid zones of Nigeria. This is to provide reliable information for the sake of local broiler farmer’s benefit who invests largely on this sector. The study will also help the geneticists from these brands to develop a strain that could survive and perform excellently under severe climatic conditions of the rural areas of arid and semi-arid zones of Nigeria

Accuracy of Local Knowledge in Prediction Seasonal Weather: Empirical Evidence from North eastern Nigeria

Over the years, West African Sahel&rsquo;s people developed some strategies for predicting the seasonal weather using meteorological indicators to plan for extreme weather events. This study used information on local indicators of seasonal weather prediction and mean monthly rainfall and temperature record (1981-2017) from Nguru weather station located at Latitude 14&deg;N in achieving the aim of the study. Both qualitative and quantitate (descriptive and inferential) statistical tools were employed in analysing the collected data. The study found that the local population of the study area used meteorological indicators in predicting the seasonal weather. The results of the analysis revealed that the variability of the annual rainfall during the study period was large. An increasing trend of 3.1mm annually was observed. While decreasing trend in the cold, dry and hot dry season temperature and an increasing trend in warm moist temperature by 0.025&deg;C, 0.05&deg;C and 0.0004&deg;C respectively, was observed. Annual rainfall amount accounts for 31% and 2% variability in cold dry and warm moist season temperature, respectively. Cold, dry season and warm moist season temperature respond to any 1mm increase in annual rainfall by decreasing by 0.012&deg;C and 0.002&deg;C, respectively. The Hot, dry season temperature also accounts for 4% of the variability in annual rainfall. The model&rsquo;s result revealed anyone 1&deg;C increase in hot dry season temperature lowers the annual rainfall by 10mm. This study confirmed that the observed relationship between seasons weather conditions by local population exist. Therefore annual rainfall is the major determinant of cold dry seasonal temperature in the study area.