1 Best APIs for Historical timeline in Nigeria

The Open Disease API, also known as disease.sh, is a free and open-source disease tracking API that aggregates global epidemiological data from authoritative public health sources and exposes it through clean, well-documented REST endpoints. Originally built to provide accessible COVID-19 data during the pandemic, the API has expanded to cover multiple infectious diseases and serves as a reliable free data layer for public health applications, research platforms, and health monitoring dashboards worldwide. The API aggregates data from sources including the Johns Hopkins University CSSE COVID-19 dataset, the Worldometer disease tracker, Our World in Data vaccination records, and official national health ministry reports. By normalizing data from these disparate sources into a consistent JSON format, the API saves developers the substantial effort of building and maintaining their own data collection pipelines. Updates occur multiple times daily to keep case counts, death tolls, and recovery figures as current as possible. Global COVID-19 data is the most comprehensive dataset. The API provides summary totals for worldwide cases, deaths, recoveries, and active infections as well as the same breakdown for individual countries. Each country record includes current totals alongside daily new case and death figures, enabling developers to calculate trends and display whether the situation in a given country is improving or worsening. The data is available in multiple aggregation levels: global totals, continent-level summaries, country-level breakdowns, and for the United States, state-level granularity. For Nigeria specifically, the API provides country-level COVID-19 statistics sourced from official Nigerian Center for Disease Control reports and aggregated through the API's data partners. Nigerian public health applications, university research tools, and news platforms can access authoritative case and death figures without needing to build their own NCDC data scrapers or manually maintain databases. The availability of historical daily figures enables trend analysis showing Nigeria's pandemic trajectory over time. Vaccination data is included for countries that have reported vaccination progress, showing doses administered, people vaccinated with at least one dose, and fully vaccinated population percentages. For Nigerian health advocacy organizations, government agencies, and researchers monitoring Nigeria's COVID-19 vaccination campaign, this data provides standardized metrics comparable to other African nations and global benchmarks. Beyond COVID-19, the API provides data on influenza and, through integration with WHO data sources, general infectious disease surveillance information. As Nigeria and West Africa have historically been affected by Lassa fever, Monkeypox, cholera, and other endemic diseases, the availability of a free API that can be extended to additional disease tracking use cases makes disease.sh a valuable long-term infrastructure choice for Nigerian health application developers. The API requires no authentication and imposes no documented rate limits, making it completely accessible for developers at any stage from student projects through production applications. The entirely open-source codebase is hosted on GitHub, enabling self-hosting for organizations that require guaranteed uptime and data control. The lack of dependency on commercial data licensing also means the data can be displayed publicly without copyright concerns, which is important for Nigerian media organizations building public health dashboards. For NGOs operating health programs across Nigeria and West Africa, the API provides standardized health data that can populate monitoring and evaluation dashboards. Development organizations tracking disease burden across African countries can compare Nigerian epidemiological data against regional neighbors using consistent metrics from a single API source. The API responds with well-structured JSON objects using intuitive field naming. Developers can get a working disease data integration running in under an hour, making it an excellent choice for hackathons, academic projects, and rapid prototyping of health applications targeting Nigerian users and health system stakeholders.