Fever Watch: live monsoon-fever risk for your city, in one score.

A daily risk read for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid) in your city, built from weather conditions, search interest and lab positivity. A risk indicator, not a diagnosis or a case count.

Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

Monsoon fever risk by city, today

Overall risk across 209 cities, highest first. Open any city for its full read.

#	City	State	Band	Score
1	Panaji	Goa	HIGH	73
2	Chennai	Tamil Nadu	HIGH	70
3	Bengaluru	Karnataka	MODERATE	68
4	Mumbai	Maharashtra	MODERATE	67
5	Kolkata	West Bengal	MODERATE	64
6	Nagpur	Maharashtra	MODERATE	59
7	Nellore	Andhra Pradesh	MODERATE	59
8	Tirupati	Andhra Pradesh	MODERATE	59
9	Kollam	Kerala	MODERATE	59
10	Thrissur	Kerala	MODERATE	59
11	Thiruvananthapuram	Kerala	MODERATE	59
12	Delhi	Delhi	MODERATE	58
13	Ahmedabad	Gujarat	MODERATE	58
14	Pune	Maharashtra	MODERATE	58
15	Coimbatore	Tamil Nadu	MODERATE	58
16	Madurai	Tamil Nadu	MODERATE	58
17	Mysuru	Karnataka	MODERATE	58
18	Tiruchirappalli	Tamil Nadu	MODERATE	58
19	Tiruppur	Tamil Nadu	MODERATE	58
20	Kochi	Kerala	MODERATE	58
21	Mangaluru	Karnataka	MODERATE	58
22	Tirunelveli	Tamil Nadu	MODERATE	58
23	Kozhikode	Kerala	MODERATE	58
24	Puducherry	Puducherry	MODERATE	58
25	Port Blair	Andaman and Nicobar Islands	MODERATE	58
26	Udupi	Karnataka	MODERATE	58
27	Vellore	Tamil Nadu	MODERATE	58
28	Thoothukudi	Tamil Nadu	MODERATE	58
29	Dindigul	Tamil Nadu	MODERATE	58
30	Thanjavur	Tamil Nadu	MODERATE	58
31	Nagercoil	Tamil Nadu	MODERATE	58
32	Kanchipuram	Tamil Nadu	MODERATE	58
33	Kannur	Kerala	MODERATE	58
34	Kottayam	Kerala	MODERATE	58
35	Palakkad	Kerala	MODERATE	58
36	Alappuzha	Kerala	MODERATE	58
37	Lucknow	Uttar Pradesh	MODERATE	57
38	Bhopal	Madhya Pradesh	MODERATE	57
39	Salem	Tamil Nadu	MODERATE	57
40	Kadapa	Andhra Pradesh	MODERATE	57
41	Hyderabad	Telangana	MODERATE	56
42	Erode	Tamil Nadu	MODERATE	56
43	Hosur	Tamil Nadu	MODERATE	56
44	Jaipur	Rajasthan	MODERATE	55
45	Visakhapatnam	Andhra Pradesh	MODERATE	55
46	Varanasi	Uttar Pradesh	MODERATE	55
47	Kakinada	Andhra Pradesh	MODERATE	55
48	Tumakuru	Karnataka	MODERATE	55
49	Haridwar	Uttarakhand	MODERATE	55
50	Ghaziabad	Uttar Pradesh	MODERATE	54
51	Meerut	Uttar Pradesh	MODERATE	54
52	Noida	Uttar Pradesh	MODERATE	54
53	Jammu	Jammu and Kashmir	MODERATE	54
54	Belagavi	Karnataka	MODERATE	54
55	Hapur	Uttar Pradesh	MODERATE	54
56	Hassan	Karnataka	MODERATE	54
57	Ambala	Haryana	MODERATE	54
58	Haldwani	Uttarakhand	MODERATE	54
59	Ranchi	Jharkhand	MODERATE	53
60	Saharanpur	Uttar Pradesh	MODERATE	53
61	Muzaffarnagar	Uttar Pradesh	MODERATE	53
62	Brahmapur	Odisha	MODERATE	53
63	Bulandshahr	Uttar Pradesh	MODERATE	53
64	Rajahmundry	Andhra Pradesh	MODERATE	53
65	Ongole	Andhra Pradesh	MODERATE	53
66	Puri	Odisha	MODERATE	53
67	Karnal	Haryana	MODERATE	53
68	Faridabad	Haryana	MODERATE	52
69	Dhanbad	Jharkhand	MODERATE	52
70	Hubballi	Karnataka	MODERATE	52
71	Bokaro	Jharkhand	MODERATE	52
72	Amroha	Uttar Pradesh	MODERATE	52
73	Eluru	Andhra Pradesh	MODERATE	52
74	Hazaribagh	Jharkhand	MODERATE	52
75	Prayagraj	Uttar Pradesh	MODERATE	51
76	Howrah	West Bengal	MODERATE	51
77	Davanagere	Karnataka	MODERATE	51
78	Kharagpur	West Bengal	MODERATE	51
79	Haldia	West Bengal	MODERATE	51
80	Khandwa	Madhya Pradesh	MODERATE	51
81	Deoghar	Jharkhand	MODERATE	51
82	Gwalior	Madhya Pradesh	MODERATE	50
83	Aligarh	Uttar Pradesh	MODERATE	50
84	Gurugram	Haryana	MODERATE	50
85	Guntur	Andhra Pradesh	MODERATE	50
86	Gorakhpur	Uttar Pradesh	MODERATE	50
87	Jamshedpur	Jharkhand	MODERATE	50
88	Cuttack	Odisha	MODERATE	50
89	Kolhapur	Maharashtra	MODERATE	50
90	Muzaffarpur	Bihar	MODERATE	50
91	Panipat	Haryana	MODERATE	50
92	Jalgaon	Maharashtra	MODERATE	50
93	Kanpur	Uttar Pradesh	MODERATE	49
94	Thane	Maharashtra	MODERATE	49
95	Raipur	Chhattisgarh	MODERATE	49
96	Moradabad	Uttar Pradesh	MODERATE	49
97	Bhiwandi	Maharashtra	MODERATE	49
98	Dehradun	Uttarakhand	MODERATE	49
99	Mathura	Uttar Pradesh	MODERATE	49
100	Chandrapur	Maharashtra	MODERATE	49
101	Unnao	Uttar Pradesh	MODERATE	49
102	Bardhaman	West Bengal	MODERATE	49
103	Agra	Uttar Pradesh	MODERATE	48
104	Amravati	Maharashtra	MODERATE	48
105	Firozabad	Uttar Pradesh	MODERATE	48
106	Durgapur	West Bengal	MODERATE	48
107	Akola	Maharashtra	MODERATE	48
108	Siliguri	West Bengal	MODERATE	48
109	Gaya	Bihar	MODERATE	48
110	Bhagalpur	Bihar	MODERATE	48
111	Darbhanga	Bihar	MODERATE	48
112	Sangli	Maharashtra	MODERATE	48
113	Satara	Maharashtra	MODERATE	48
114	Begusarai	Bihar	MODERATE	48
115	Purnia	Bihar	MODERATE	48
116	Chhapra	Bihar	MODERATE	48
117	Malda	West Bengal	MODERATE	48
118	Baharampur	West Bengal	MODERATE	48
119	Indore	Madhya Pradesh	MODERATE	47
120	Nashik	Maharashtra	MODERATE	47
121	Aurangabad	Maharashtra	MODERATE	47
122	Solapur	Maharashtra	MODERATE	47
123	Bareilly	Uttar Pradesh	MODERATE	47
124	Asansol	West Bengal	MODERATE	47
125	Nanded	Maharashtra	MODERATE	47
126	Latur	Maharashtra	MODERATE	47
127	Dhule	Maharashtra	MODERATE	47
128	Rohtak	Haryana	MODERATE	47
129	Ahmednagar	Maharashtra	MODERATE	47
130	Parbhani	Maharashtra	MODERATE	47
131	Mirzapur	Uttar Pradesh	MODERATE	47
132	Fatehpur	Uttar Pradesh	MODERATE	47
133	Raebareli	Uttar Pradesh	MODERATE	47
134	Sitapur	Uttar Pradesh	MODERATE	47
135	Budaun	Uttar Pradesh	MODERATE	47
136	Bihar Sharif	Bihar	MODERATE	47
137	Arrah	Bihar	MODERATE	47
138	Dewas	Madhya Pradesh	MODERATE	47
139	Sambalpur	Odisha	MODERATE	47
140	Vijayawada	Andhra Pradesh	MODERATE	46
141	Bhilai	Chhattisgarh	MODERATE	46
142	Jhansi	Uttar Pradesh	MODERATE	46
143	Patiala	Punjab	MODERATE	46
144	Bilaspur	Chhattisgarh	MODERATE	46
145	Shahjahanpur	Uttar Pradesh	MODERATE	46
146	Alwar	Rajasthan	MODERATE	46
147	Rampur	Uttar Pradesh	MODERATE	46
148	Hardoi	Uttar Pradesh	MODERATE	46
149	Bharatpur	Rajasthan	MODERATE	46
150	Mohali	Punjab	MODERATE	46
151	Raigarh	Chhattisgarh	MODERATE	46
152	Korba	Chhattisgarh	MODERATE	45
153	Etawah	Uttar Pradesh	MODERATE	45
154	Jabalpur	Madhya Pradesh	LOW-MODERATE	44
155	Chandigarh	Chandigarh	LOW-MODERATE	44
156	Rourkela	Odisha	LOW-MODERATE	44
157	Ujjain	Madhya Pradesh	LOW-MODERATE	44
158	Bellary	Karnataka	LOW-MODERATE	44
159	Daman	Dadra and Nagar Haveli and Daman and Diu	LOW-MODERATE	44
160	Silvassa	Dadra and Nagar Haveli and Daman and Diu	LOW-MODERATE	44
161	Sri Ganganagar	Rajasthan	LOW-MODERATE	44
162	Ratlam	Madhya Pradesh	LOW-MODERATE	44
163	Khammam	Telangana	LOW-MODERATE	44
164	Surat	Gujarat	LOW-MODERATE	43
165	Amritsar	Punjab	LOW-MODERATE	43
166	Guwahati	Assam	LOW-MODERATE	43
167	Hanumangarh	Rajasthan	LOW-MODERATE	43
168	Sagar	Madhya Pradesh	LOW-MODERATE	43
169	Satna	Madhya Pradesh	LOW-MODERATE	43
170	Rewa	Madhya Pradesh	LOW-MODERATE	43
171	Katni	Madhya Pradesh	LOW-MODERATE	43
172	Singrauli	Madhya Pradesh	LOW-MODERATE	43
173	Bharuch	Gujarat	LOW-MODERATE	43
174	Navsari	Gujarat	LOW-MODERATE	43
175	Anantapur	Andhra Pradesh	LOW-MODERATE	43
176	Dibrugarh	Assam	LOW-MODERATE	43
177	Bikaner	Rajasthan	LOW-MODERATE	42
178	Vadodara	Gujarat	LOW-MODERATE	41
179	Ludhiana	Punjab	LOW-MODERATE	41
180	Rajkot	Gujarat	LOW-MODERATE	41
181	Warangal	Telangana	LOW-MODERATE	41
182	Jamnagar	Gujarat	LOW-MODERATE	41
183	Kurnool	Andhra Pradesh	LOW-MODERATE	41
184	Gandhinagar	Gujarat	LOW-MODERATE	41
185	Katihar	Bihar	LOW-MODERATE	41
186	Anand	Gujarat	LOW-MODERATE	41
187	Nadiad	Gujarat	LOW-MODERATE	41
188	Karimnagar	Telangana	LOW-MODERATE	41
189	Ramagundam	Telangana	LOW-MODERATE	41
190	Bathinda	Punjab	LOW-MODERATE	41
191	Kota	Rajasthan	LOW-MODERATE	40
192	Agartala	Tripura	LOW-MODERATE	40
193	Junagadh	Gujarat	LOW-MODERATE	40
194	Gandhidham	Gujarat	LOW-MODERATE	40
195	Raichur	Karnataka	LOW-MODERATE	40
196	Hisar	Haryana	LOW-MODERATE	40
197	Patna	Bihar	LOW-MODERATE	39
198	Jalandhar	Punjab	LOW-MODERATE	39
199	Gulbarga	Karnataka	LOW-MODERATE	39
200	Udaipur	Rajasthan	LOW-MODERATE	39
201	Nizamabad	Telangana	LOW-MODERATE	39
202	Vijayapura	Karnataka	LOW-MODERATE	39
203	Bhubaneswar	Odisha	LOW-MODERATE	38
204	Bhilwara	Rajasthan	LOW-MODERATE	38
205	Sikar	Rajasthan	LOW-MODERATE	37
206	Jodhpur	Rajasthan	LOW-MODERATE	36
207	Ajmer	Rajasthan	LOW-MODERATE	36
208	Pali	Rajasthan	LOW-MODERATE	36
209	Srinagar	Jammu and Kashmir	LOW	22

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a forecast-only mode eases the score back as it climbs toward the HIGH threshold (a soft cap held below 70) so it can approach but never enter HIGH, keeping a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read (no lab data) is eased back as it climbs and held below 70, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

Common questions

What is Fever Watch?

Fever Watch is a daily risk indicator for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid), shown as one decomposable score per city and disease. It blends weather conditions, public search interest and PharmEasy lab positivity.

Is this a diagnosis or medical advice?

No. Fever Watch is a risk indicator only. It is not a diagnosis, not a count of actual cases or mosquitoes, and not a substitute for a doctor. If you feel unwell, consult a clinician.

How is the score calculated?

It is a transparent weighted blend of three signals at different points in the illness pipeline: weather conditions (leading), search interest (coincident) and lab positivity (lagging ground truth). When lab data is present it leads the score, and the breakdown is always shown.

What does forecast-only mean?

Where there is not enough lab data for a city and disease yet, the score is a conditions-based forecast and is held below the HIGH band, so a forecast-only read can never show HIGH. This keeps the read honest.

How often is it updated?

Weather is refreshed daily from NOAA CPC and NASA POWER, search interest weekly, and the lab signal daily. The score for each city is recomputed every day.

Which cities are covered?

Fever Watch currently covers over 200 Indian cities, with more planned. Use the city search to see the read for your city.